Tech Talks Daily

What happens when AI meets the human side of hiring? In this episode, I sit down with Rebecca Carr, CEO of SmartRecruiters, to unpack the shifting role of HR in a rapidly evolving talent landscape. With new research showing that 56 percent of leaders say talent acquisition has become significantly more challenging over the past five years, Rebecca offers a timely and thought-provoking perspective on how AI can help – and where it can't. We explore the tension between automation and human connection, and how organizations can strike the right balance to create meaningful candidate experiences without sacrificing speed or scalability. From improving candidate discovery and reducing administrative overhead to using AI to flag unconscious bias in job descriptions, Rebecca shares how SmartRecruiters is pushing the boundaries of what recruiting platforms can do. We also touch on the implications of generative AI, the importance of explainability in AI-driven decisions, and how HR teams can move from being transactional to truly strategic partners in business. As companies demand more from their hiring processes and the competition for top talent intensifies, the need for smarter tools – and smarter strategies – has never been greater. If you're in HR, talent acquisition, or simply curious about how AI is transforming the way companies hire, this episode offers both practical guidance and a look at what's next. What does it take to hire smarter, faster, and more fairly in 2025? Let's find out.

What happens when the hype around generative AI starts to mature, and businesses begin asking harder questions about performance, risk, and long-term value? In today's episode, I'm joined by Mike Mason, Chief AI Officer at Thoughtworks, to explore how 2025 is shaping up across the enterprise AI landscape—from the rise of intelligent agents to the growing traction of small, nimble models that prioritize security and specificity. Mike brings a deep, practical perspective on the evolution of AI inside complex organizations. He unpacks how AI agents are moving well beyond basic chatbots and starting to integrate into actual business workflows—performing as teammates that can reason, adapt, and even collaborate with other agents. We dig into examples like Klarna's workforce transformation and examine how this shift could play out across customer service, internal ops, and software development. We also look at what's fueling the boom in open source AI and how companies are navigating the balance between transparency, IP protection, and regulatory readiness. Mike shares why some financial services firms are turning to in-house fine-tuned models for greater control, and how open-weight and fully open-source models are starting to gain real ground. Another key theme is the momentum behind small language models. Mike explains why bigger isn't always better—especially when it comes to data privacy, edge deployment, and resource efficiency. He outlines where SLMs can outperform their larger counterparts and what that means for companies optimizing for security and speed rather than brute force compute. We also discuss Thoughtworks' forthcoming global survey, which reveals a growing divide in generative AI adoption. While mature players are building in bias detection and robust compliance frameworks, newer entrants are leaning toward fast operational gains and interpretability. This gap is shaping how GenAI projects are prioritized across industries and geographies, and Mike offers his take on how leaders can navigate both speed and safety. So, what role will explainability, regulation, and open ecosystems play in shaping the AI tools of tomorrow—and what should business and tech leaders be planning for now? Let's find out in this wide-ranging conversation with Thoughtworks.

What does it really take to implement generative AI in a way that balances innovation, governance, and long-term value? In today's episode, , I'm joined by Emma Irwin, Director of Sales Engineering at Dataiku. With a deep background in enterprise AI and experience supporting major organizations like AVIVA and the NHS, Emma brings a grounded, real-world perspective to one of the most hyped areas in tech today. While most businesses are ramping up GenAI investments, few have the processes, controls, or workforce skill sets needed to scale safely and effectively. Emma and I dive straight into the challenges that IT leaders are facing right now—from managing LLM usage and controlling cost, to building secure frameworks that actually reduce risk rather than amplify it. Emma unpacks the three key pillars every organization needs for sustainable GenAI success: access controls that keep your stack flexible, robust discovery mechanisms to document LLM usage across the enterprise, and value quantification to show the real return on AI initiatives. But what really stood out is the need for diverse teams and strong governance models to address bias in AI development. From sentiment analysis to internal chatbots and large-scale summarization use cases, Emma brings a mix of strategy and execution to the conversation. We also explore the importance of secure sandbox environments, the value of audit-readiness through documentation automation, and why it's time for every business to move beyond experimentation into a more structured, responsible phase of AI maturity. Emma is also a vocal advocate for women in tech and AI, and shares how mentorship, representation, and inclusive leadership can help shape a more equitable future for the industry. So what guardrails do you have in place for GenAI? Are you really ready to move from pilot projects to enterprise-scale implementations? This episode is packed with insights for anyone building, managing, or scaling AI across the enterprise.

What if your mobile app could detect bugs, fix UI inconsistencies, and spot user frustration before a user ever reports it? In today's episode, I sit down with Kenny Johnston, Chief Product Officer at Instabug, to explore how AI is reshaping the way developers build, test, and maintain mobile apps. Instabug is taking mobile observability to an entirely new level by developing what Kenny describes as "zero maintenance apps." Powered by on-device AI models, their platform can now detect subtle UX breakdowns, visual design flaws, and even frustration signals that wouldn't normally trigger crash reports. Whether it's an unresponsive button, a layout shift, or a broken navigation path, Instabug flags the issue, often before a user ever notices. Kenny shares how Instabug's approach to AI is helping development teams move faster and smarter, particularly in high-stakes environments like retail and e-commerce where performance peaks during events like Black Friday or Valentine's Day. Through real-time crash reporting, automated UI analysis, and deep session insights, developers can spot and solve problems that would otherwise get lost in a backlog or surface in app store reviews. We also explore the unique pressures of mobile development. With no quick rollbacks and high user expectations, developers need tools tailored to the realities of app store approvals, device fragmentation, and version-specific bugs. Instabug's platform brings together observability, feedback, and issue reproduction in a way that simplifies the mobile stack and accelerates release cycles. Kenny draws on his experience at GitLab to reflect on the need to consolidate tools and workflows in mobile development. He offers valuable insights for product leaders and mobile engineers on how to navigate change, evolve their approach, and stay curious in the face of constant technical demands. So how can your team shift from reactive debugging to proactive experience design? And are you really seeing all the issues your users encounter or just the ones they report? It's time to find out.

What happens when Microsoft joins forces with IGEL to reimagine the future of endpoint computing? In today's episode, recorded live at IGEL's Now & Next 2025 in Miami, I sit down with Scott Manchester, Vice President of Windows 365 and Azure Virtual Desktop at Microsoft. With decades of experience at the helm of virtualization and cloud innovation, Scott brings a grounded yet forward-looking view of how Microsoft is enabling businesses to adapt to the evolving demands of work. Our conversation explores how Microsoft and IGEL are working together to address real enterprise challenges—from simplifying endpoint management to ensuring high-performance, secure digital workspaces. We look at how Windows 365 Cloud PC and Azure Virtual Desktop are helping businesses embrace the cloud while navigating the transition to Windows 11. And we discuss the real-world implications of this shift, from extending the lifecycle of devices to increasing flexibility for IT teams and remote users alike. Scott also opens up about the industries that are leading in cloud workspace adoption—from healthcare systems like Baptist Medical Center to federal agencies and financial services—and how Microsoft is shaping its offerings to meet the distinct needs of these sectors. We unpack the unique advantages of IGEL's Linux-based OS, the growing role of zero trust architecture, and why seamless user experiences are no longer optional in the hybrid era. With new licensing models like Windows 365 Frontline Shared and deeper integration between Microsoft and IGEL, it's clear this partnership is more than technical alignment—it's a shared strategy aimed at delivering resilient, secure, and scalable digital environments. Whether you're planning your Windows 11 migration or just exploring cloud PCs as part of your future roadmap, this episode is packed with strategic insights from a tech leader who knows how to deliver results. What role will the cloud desktop play in your 2025 strategy?

What does bringing clarity and control to today's fragmented digital work environments take? In this episode, recorded live at IGEL Now & Next 2025, I sit down with Tommy Walker, Partner CTO at Omnissa, to explore the intersection of user experience, security, and operational simplicity in modern enterprise IT. With career-spanning roles at VMware, Citrix, and Cisco, Tommy offers a real-world perspective on navigating complexity while building meaningful solutions that work at scale. This is a conversation grounded in reality. We discuss how organizations can move beyond legacy infrastructure and simplify their digital workspace strategy without overwhelming users or IT teams. Tommy shares how Omnissa is helping enterprises shift from scattered tools and outdated workflows to unified, AI-informed platforms that boost both productivity and resilience. We also unpack the practical steps for tackling challenges like technical debt, the Windows 10 end-of-life transition, and rising pressure on IT to deliver more with fewer resources. Throughout the discussion, Tommy emphasizes the importance of partnerships—not just between vendors, but within the entire IT ecosystem—to deliver outcomes that matter. And yes, there's also room for a few lighter moments involving drones, endpoint telemetry, and the occasional geek-out over infrastructure design. But at the core of this conversation is a clear message: modern IT is about enabling users without compromising security and simplifying operations without losing flexibility. If you're rethinking your endpoint strategy, evaluating your hybrid work approach, or just trying to bring a little more order to the chaos, this episode will leave you with practical insights and maybe even a few new ideas for your roadmap. Are you ready to build a digital workspace strategy that actually works? Let's get into it.

What does it truly take to secure the edge of the enterprise in a multi-cloud, AI-driven world? At IGEL Now & Next 2025 in Miami, I sat down with Marissa Schmidt, Senior Director Analyst at Gartner, to unpack the future of endpoint computing and cybersecurity from a perspective rooted in deep research, hands-on insight, and strategic clarity. As hybrid work continues to scale and the cloud cements itself as the core of modern infrastructure, new demands are being placed on endpoint operating systems, access frameworks, and cloud security models. Marissa brings a clear-eyed view of what's working, what's changing, and what IT leaders need to start doing differently. In this conversation, we explore how AI is reshaping both attack and defense strategies, why the OS layer has become a strategic asset, and what Gartner is seeing in terms of the biggest shifts in cloud networking and endpoint security in 2025. We also dig into the principles behind zero trust, the realities of managing dozens of overlapping security tools, and how businesses can begin building more resilient, adaptive architectures—starting today. Marissa also shares insights from her keynote and the Women in Tech panel at IGEL Now & Next, including the importance of authentic leadership, being a continuous learner, and building a strategy that connects real-world data with future-ready infrastructure. Whether you're navigating cloud transformation, rethinking your endpoint strategy, or trying to make sense of the security demands brought on by AI, this episode offers a sharp, actionable look at where things are heading—and how to stay in front of it. Are your cloud and endpoint strategies built for what's next? Let me know your thoughts.

What does it really take to reimagine the future of endpoint computing? In this special episode recorded live from IGEL's Now and Next 2025 event in Miami, I sit down with Klaus Oestermann, CEO of IGEL, to explore how cybersecurity, digital workspaces, and user experience are being transformed at the edge. Klaus is no stranger to innovation, having spent decades in high-assurance security across critical industries, and now leading IGEL's mission to simplify, secure, and modernize how enterprises manage endpoints. Our conversation starts by unpacking the shift from traditional perimeter-based security models to a new way of thinking rooted in prevention. Klaus explains how IGEL's Preventative Security Model addresses modern threats by dramatically reducing the attack surface at the endpoint and flipping the conversation from detection and response to control and containment. With more organizations relying on hybrid work and SaaS-based applications, the endpoint has never been more critical—or more vulnerable. Klaus also outlines how IGEL OS is supporting everything from virtual desktop infrastructure to secure browsing, while enabling consistent user experiences across cloud, on-prem, and edge environments. But this episode isn't just about technology. It's about strategy. Klaus shares how IGEL is creating meaningful impact by extending device life cycles, cutting hardware replacement costs, and supporting sustainability goals. With Windows 11 upgrades looming and endpoint refresh cycles under pressure, IGEL presents a compelling alternative that balances performance with responsibility. We also dive into the role of AI, how it's reshaping device requirements, and what it means for endpoint security moving forward. And as IGEL expands its ecosystem and reveals over 20 new announcements at this year's event, Klaus offers a candid look into what's resonating with customers—and where the industry is headed next. So what will define your endpoint strategy in 2025? And is your organization ready to lead from the edge?

What's the return on your AI investment? In today's episode, I'm joined by Varun Bijlani, Global Managing Partner for Hybrid Cloud Services at IBM Consulting, to explore why 2025 is shaping up to be a pivotal year for IT leaders under pressure to deliver stronger, measurable outcomes from technology investments. While many IT projects have historically delivered modest returns, expectations are rising. With a growing number of executives focused on increasing ROI by 25 percent or more, the ability to connect AI efforts to real business value is becoming non-negotiable. Drawing on insights from IBM Consulting's latest book, The Great Tech Reset, Varun outlines how the shift from experimental AI projects to production-level deployment is exposing the cracks in outdated infrastructure strategies. He explains why many businesses are trapped in what he calls a hybrid by default architecture, and how that limits the potential of generative AI. Instead, he advocates for a hybrid by design approach, one that aligns cloud infrastructure with AI goals from the outset. We discuss the organizational mindset shifts needed to move from fragmented systems to intentionally built environments that scale with innovation. Varun also shares real-world examples of companies achieving returns as high as 3.3 times their investment through more intentional planning and execution. As IT leaders look to reset priorities for the year ahead, how can they build the kind of foundation that allows AI to thrive? And what steps can they take today to ensure their technology choices drive value, not just cost?

What can the UK learn from the Nordic approach to manufacturing—and how can technology play a central role in revitalising the sector? This week on Tech Talks Daily, I sat down with Simon Ranyard, Managing Director for Northwest Europe at Orange Business, to explore the strategic differences between two regions facing similar challenges but moving in very different directions. Simon brings a unique cross-regional view, overseeing Orange Business operations across the UK, Ireland, and the Nordics. While labour shortages and productivity declines are shared concerns, Simon explains why Nordic manufacturers have responded with long-term investments in digitisation and automation, creating not just gains in efficiency but also a rise in high-skill employment. In contrast, many UK firms are still defaulting to short-term headcount increases, missing the bigger opportunity. We discuss the data behind the divergence, including why Sweden has three times the robot density of the UK, and what that means for output and workforce transformation. Simon highlights how automation isn't about job replacement, but role elevation—moving people away from repetitive tasks and into positions that require critical thinking and collaboration with advanced tools. He also shares practical insight into how technologies like 5G, AR, and IoT are reshaping production environments, lowering operational costs, and helping companies stay competitive globally. With government-backed reskilling initiatives and AI now moving from theory to application, Simon makes the case for UK manufacturers to adopt a more strategic, future-facing mindset. If you work in manufacturing, policy, or are simply curious about how different regions are using tech to solve shared problems, this episode offers real-world perspective and tactical advice. What kind of investment decisions will define the next decade of UK industry—and can a mindset shift help close the productivity gap?

How do you turn AI investment into measurable outcomes, not just inflated expectations? In this episode, I'm joined by Dennis Woodside, CEO of Freshworks, to unpack how mid-sized businesses can move fast with AI, show results quickly, and stay competitive without enterprise-level complexity or pricing. Dennis shares how Freshworks is helping companies achieve real productivity gains and customer support improvements through accessible, enterprise-grade AI tools. With solutions that boost agent performance, reduce repetitive tickets, and deliver useful insights to managers, Freshworks is proving that you don't need to be a tech giant to see value from AI. We also explore the challenges that hold mid-market businesses back from adopting AI, and how Freshworks is helping them overcome barriers with tools that are fast to implement, easy to evaluate, and flexible enough to grow with the business. Dennis also reflects on what the industry can learn from customer case studies, including how one company achieved over 250 percent ROI and saved $100,000 annually by streamlining support with AI. If your business is exploring how to make AI work without long timelines or runaway budgets, this conversation offers a grounded view into what's working—and why. Are you measuring real return on AI in your organization, or just chasing the trend?

Why do so many businesses struggle to turn insight into impact? At the X4 Summit in Salt Lake City, I sat down with Adam Hagerman, UX Research Director at Indeed, for a refreshingly candid conversation about how his team has helped reshape the company's approach to research, collaboration, and decision-making. In a tech culture that values autonomy and individualism, aligning people around a shared understanding of user needs is no small feat—but it's exactly what Adam has been working on. In this episode, we unpack how Indeed built a shared research framework that breaks down silos, creates a common language, and encourages teams across the business to talk to one another in more meaningful ways. Adam shares how his team tackles the challenge of information overload by focusing on relevance over volume—and how measurement itself becomes a shared system of accountability across functions. We also discuss the evolving role of AI in research, including how Adam's team uses it to reduce cognitive overhead, accelerate workflows, and spark better questions. But perhaps most importantly, Adam talks about the mindset shift needed in times of rapid change—and why embracing uncertainty and remaining curious is more productive than clinging to old ways of working. Whether you're a UX leader, researcher, or business decision-maker looking to get more from your data, there's plenty here to reflect on. How do you ensure your insights aren't just collected, but acted on? How do you build trust in research across teams? And how can we all get better at asking, "What problem are we actually trying to solve?" Let me know what resonated with you. What challenges have you faced in translating research into action within your own organisation? I'd love to hear your thoughts.

How do we build high-performing teams in a world where colleagues might never meet face to face? At the X4 Summit in Salt Lake City, I caught up with two standout voices from Atlassian—Molly Sands, Head of the Teamwork Lab, and Emma Crockett, Head of People Insights. Together, they bring a rich mix of behavioral science, experimentation, and data-driven strategy to the future of work. In this episode, we unpack what it really takes to design distributed work environments that foster both productivity and connection. Molly shares how her team studies internal and external teams to understand what drives collaboration in a hybrid world, while Emma reveals how Atlassian turns insights into action by grounding people strategies in measurable outcomes. We talk about clear goal setting, the power of asynchronous communication, and how the physical workspace itself can evolve to support a flexible, purposeful culture. But this isn't just about metrics and models—it's about human connection. From a delightful experiment involving "Chief Vibes Officers" and quirky team questions, to Atlassian's scrappy and iterative approach to designing new ways of working, this episode offers real-world ideas for reimagining how teams collaborate. We also explore the pitfalls of defaulting to old habits like Zoom fatigue and information silos, and what it takes to fix them. As we touch on people analytics, the role of trust, and the impact of thoughtful measurement, Molly and Emma remind us that even with AI and automation in the mix, work is still about people. So, if your team is struggling with how to work better together—whether you're all remote, hybrid, or co-located—what lessons could you take from Atlassian's approach? Let us know your thoughts. How is your organisation adapting to the realities of modern teamwork?

What does it take to keep a 40-year-old brand rooted in nostalgia relevant in a rapidly evolving, tech-driven world? In this special episode recorded live from the X4 Summit in Salt Lake City, I sit down with Maggie Stafford, Vice President of People Insights at Hagerty, to explore how a company best known for classic car insurance has become a technology-enabled, community-powered lifestyle brand for auto enthusiasts. From cloud-based transformation to one-on-one customer experiences, Maggie shares how Hagerty is modernizing its approach to customer and employee engagement—while staying true to its mission to "save driving." We discuss the evolution of Hagerty's digital experience, including their $20 million investment into a modern tech stack, designed not only to improve operational efficiency but also to meet growing member expectations. Maggie also gives a behind-the-scenes look at how the brand's culture—one where employees learn to drive stick and take collector cars for a spin—shapes everything from customer service to product development. You'll hear how community remains the beating heart of the business, with more than 850,000 Hagerty Drivers Club members connecting at grassroots events and exclusive experiences like the Festival of the Unexceptional and Amelia Island Concours. We also explore how Hagerty is using data and insights to prepare for the future of car culture, at a time when automation, electrification, and driverless vehicles are becoming the new norm. So how does a brand that celebrates the visceral joy of driving stay relevant in an era of AI and autonomy? And what can other businesses—especially those outside the traditional tech space—learn from Hagerty's approach to transformation and loyalty? Tune in to find out, and don't forget to share your thoughts: how do you balance tradition with innovation in your business?

Can AI truly revolutionize customer experience, or is it just another overhyped tech trend? While most organizations recognize AI's potential, many are still struggling to scale AI beyond pilot projects. So, what's holding them back? In this episode, recorded live at the X4 Summit in Salt Lake City, I sit down with Isabelle Zdatny, Head of Thought Leadership at Qualtrics XM Institute, to explore the $860 billion opportunity AI presents for customer experience. We discuss why only 12% of organizations have a company-wide AI strategy, the disconnect between AI ambition and execution, and how companies can break free from what she calls "pilot purgatory." Key topics include: The three biggest ways AI will unlock business value—from productivity gains to revenue growth and operational efficiency. Why AI needs to be top-down and outcome-focused—not just a shiny tech experiment. The rise of Agentic AI—AI that doesn't just assist but autonomously manages entire workflows. How leading companies are using AI to predict and prevent customer churn, personalize interactions, and optimize operations. The biggest myths about AI in CX—and why you don't need perfect data to get started. As AI reshapes how businesses engage with customers, companies that act decisively and strategically will gain a significant competitive advantage. But will they move fast enough? Tune in to hear real-world insights, case studies, and expert advice from Isabelle on how businesses can turn AI potential into real impact—before their competitors do.

Many businesses have embraced automation, but disconnected systems and fragmented workflows still create inefficiencies. In this episode, I sit down with Charles Crouchman, Chief Product Officer at Redwood Software, to explore how organizations can build an automation fabric. a unified approach that connects processes across legacy infrastructure and modern cloud environments. Charles explains why automation fabrics matter, how businesses can identify the best processes to automate, and why a well-structured roadmap is crucial for long-term success. He also shares insights on industry trends, including the growing role of AI in automation and how Redwood's approach enables enterprises to scale with confidence. With Redwood's recent acquisition by Vista Equity Partners and Warburg Pincus, the company is poised for even greater innovation and expansion. We also dive into the future of automation, the balance between AI-driven decision-making and human oversight, and what businesses should consider when integrating automation across departments. Whether you're just beginning your automation journey or looking to refine your strategy, this conversation provides a practical guide to building a resilient, scalable automation framework. Could automation fabrics be the missing piece in your digital strategy? Tune in to find out.

When a cyber crisis strikes, leaders face intense pressure to make rapid decisions that can determine the fate of their organizations. In this episode, I sit down with Dan Potter, Senior Director of Operational Resilience at Immersive, to explore how leaders can effectively manage high-stakes cyber incidents. From major crises like MOVEit and Log4J to the evolving landscape of AI-driven threats, Dan shares practical insights on what businesses can learn from past events to strengthen their response strategies. We discuss the key components of a well-structured decision-making framework, how to maintain strategic focus under pressure, and why trust and psychological safety within teams are essential during a crisis. Dan also walks us through a checklist for effective leadership before, during, and after a cyber event, emphasizing the importance of continuous, hands-on training to build organizational resilience. With cyber threats becoming more sophisticated and unavoidable, organizations need more than just technical defenses—they need leaders who can navigate uncertainty and execute decisive action. Tune in to learn how to transform crisis management from a reactive scramble into a well-prepared, strategic response. Are today's business leaders truly ready for the next cyber crisis? Let's find out.

Online reviews shape consumer trust, but what happens when those reviews can't be trusted? In this episode, I sit down with Anoop Joshi, Chief Trust Officer at Trustpilot, to discuss the ongoing battle against fake reviews and the role of AI in both creating and detecting fraudulent content. With over 300 million reviews on its platform, Trustpilot has been at the forefront of combating fake reviews, recently winning 10 legal cases in the UK against bad actors. As the FTC cracks down on deceptive review practices with fines of up to $50,000 per violation, businesses must rethink their approach to online credibility. Anoop shares insights on what this regulatory shift means for companies and how Trustpilot's AI-driven approach is evolving to stay ahead of generative AI-generated fake reviews. We explore how Trustpilot's transparency efforts led to the removal of 3.3 million fake reviews last year alone and why a combination of AI, metadata analysis, and human oversight is critical for maintaining trust online. As AI-generated content becomes more sophisticated, Anoop also sheds light on emerging trends and the growing need for regulatory adaptability. If online reputation matters to your business—or if you've ever wondered how review platforms separate real feedback from deception—this episode is packed with insights you won't want to miss. Could AI ever be trusted to fully police itself, or will human intervention always be required to maintain trust?

The future of medicine is being shaped by technology, and few companies are pushing the boundaries like GSK. In this episode, I sit down with Christopher Austin, Head of Research Technologies at GSK, to explore how AI, data science, and cutting-edge digital capabilities are revolutionizing drug discovery and development. Chris shares how GSK is harnessing vast datasets, AI-driven insights, and genetic validation to speed up the identification of promising drug targets. We discuss how computational biology and machine learning are dramatically reducing the time it takes to develop new treatments—sometimes cutting discovery timelines in half. From selecting the right molecular designs to improving patient identification for clinical trials, technology is streamlining the entire R&D process, increasing success rates, and ultimately bringing life-saving medicines to patients faster. We also dive into the role of generative AI in modeling diseases, designing antibodies, and optimizing clinical trials. With AI now shaping everything from drug formulation to patient recruitment, we explore what this means for the future of medicine and the ethical considerations that come with such rapid advancements. How will AI-driven drug discovery change the pharmaceutical industry in the next decade? What challenges remain in integrating these new technologies into traditional research models? And what does all of this mean for patients and the future of healthcare? Tune in to hear how GSK is leading the charge in transforming medicine through technology.

AI is transforming the way we experience storytelling, and few people understand this shift better than Geoff Thatcher. As the Creative Director behind the GAME ON! AI Experience at the College Football Hall of Fame, Geoff is pioneering how AI can place visitors at the heart of an attraction—turning spectators into active participants. In this episode, we explore the intersection of AI, immersive storytelling, and the evolving expectations of audiences. Geoff shares how AI-powered personalization is reshaping museums, theme parks, and live experiences, making guests part of the narrative rather than just observers. From scanning faces to seamlessly integrating visitors into game-day experiences, he explains how technology is allowing brands and institutions to scale engagement like never before. But as AI deepens immersion, it also raises questions—how far will audiences expect personalization to go? Will simply watching a story unfold ever be enough again? And what ethical and creative challenges come with placing visitors inside historical exhibits, theme park rides, or even feature films? We also dive into the economics of AI-driven experiences. How does AI influence the way attractions are designed, priced, and operated? Can small museums and local attractions afford to implement these innovations, or will personalization remain an exclusive luxury for major brands? Geoff brings his extensive experience in experiential design to shed light on how AI can be a tool to connect people through storytelling—when used thoughtfully. If you've ever wondered about the future of immersive entertainment, AI in storytelling, or how technology is redefining guest engagement, this episode is one you won't want to miss. Will the experiences of tomorrow demand that we step inside the story? Tune in to find out.

In this episode of Tech Talks Daily, I sit down with Cerisse Velasco, Director of Midwest and Retail Media Brand Partnerships at Zynga, to explore how mobile gaming is reshaping digital advertising and brand engagement. While gaming has long been associated with teenage boys in basements, the reality is quite different—Zynga's audience is predominantly Millennial and Gen X women, a demographic that's often overlooked in marketing strategies. With mobile games like Words with Friends, Game of Thrones: Legends, and Match Factory, Zynga has built a massive entertainment platform where brands can authentically connect with engaged consumers. We discuss how mobile gaming offers a "leaned-in" advertising experience, with players actively engaging rather than passively scrolling. From rewarded video and interactive formats to in-game integrations, Zynga is pioneering innovative ad strategies that feel natural within the gameplay, rather than interrupting it. A recent partnership with The Real Housewives is a perfect example of how brands are rethinking their approach to mobile gaming, tapping into a highly influential and purchase-driven audience. Beyond traditional advertising, we also explore the future of gamified brand experiences, AI-powered personalization, and retail media integrations within gaming. As mobile gaming continues to dominate screen time, brands that embrace these new engagement models will have a significant edge in the evolving digital marketing landscape. How can brands create authentic connections with audiences in gaming environments? And what does the future hold for advertising in mobile entertainment? Tune in to hear Cerisse Velasco's insights on the changing face of digital engagement.

AI is transforming businesses' operations, but are executives ready to lead this revolution? In this episode, I sit down with Greg Shove, CEO of Section, to discuss the most significant mistakes leaders make when adopting AI and why many companies are falling behind despite all the hype. Greg, a seasoned entrepreneur and AI strategist, shares why leaders must go beyond buzzwords and get hands-on with AI to drive real impact. He explains how organizations can build a scrappy but effective AI strategy, why CFOs increasingly embrace AI-driven efficiency, and what that means for future jobs. We also discuss how AI reshapes everyday decision-making, from the workplace to personal productivity. Beyond the corporate world, Greg highlights a more significant concern—Big Tech's control over AI. Drawing from past experiences in Silicon Valley, he warns that AI might follow the same playbook as social media and cloud computing: get everyone hooked, then raise the price. If AI becomes indispensable, are businesses at risk of outsourcing too much cognition to just a few dominant players? From AI's impact on job security to how leaders can create an AI-powered workforce, this conversation challenges conventional thinking on AI adoption. Whether you're an executive looking to integrate AI into your strategy or an employee navigating the shift, this episode is packed with insights to help you stay ahead. Is AI genuinely democratizing knowledge, or are we just making ourselves more dependent on a handful of companies? And how can leaders ensure they're leveraging AI as a strategic asset rather than just another tool? Tune in to find out.

The travel industry is at a turning point. While demand for seamless, personalized experiences has never been higher, many airlines, hotels, and travel businesses are still operating on decades-old technology that hinders innovation. In this episode, I sit down with Somit Goyal, CEO of IBS Software, to explore how the industry can break free from legacy systems and embrace a digital-first future. With a background that includes over a decade at Microsoft and now leading one of the biggest travel tech firms, Somit shares his perspective on why true transformation requires more than just new software—it demands a shift in mindset. Too often, businesses treat modernization as an IT project rather than a full-scale business transformation. He explains why travel companies need strategic partners, not just vendors, to guide them through complex transitions, help them make tough choices, and build future-ready technology solutions. We discuss how airlines and hospitality brands can rethink their operations, from passenger experiences to loyalty programs, and how AI and data-driven personalization are shaping the future of travel. Somit also highlights why listening—rather than talking—is one of the most powerful tools leaders can use when engaging with customers and making key business decisions. With IBS Software at the forefront of digital transformation in travel, this conversation sheds light on what's next for the industry and how companies can stay competitive in an era of rapid technological change. How can travel brands overcome legacy tech obstacles? What role will AI play in the evolution of airline retailing and hotel management? And why is a strategic, long-term approach essential for success? Tune in to find out.

In today's hyper-connected world, the explosion of IoT devices is reshaping the cybersecurity landscape—but are businesses keeping up? In this episode of Tech Talks Daily, I sit down with Paul Savill, Global Practice Leader of Networking and Edge Compute at Kyndryl, to explore why traditional IT security strategies are no longer enough. With IoT-related cyberattacks rising at double-digit rates year over year and the global number of IoT devices projected to reach 25.4 billion by 2030, enterprises face mounting challenges in securing their networks. Paul shares insights into the biggest threats organizations are grappling with, including the growing risks of social engineering attacks, outdated infrastructure, and the widening gap between IT and OT security. With 44% of enterprise technology now considered "out of life" and unsupported by vendors, businesses are unknowingly leaving themselves vulnerable to increasingly sophisticated cyber threats. We also discuss Kyndryl's cybersecurity training program, which has driven a fourfold increase in employee-reported phishing incidents—a testament to the importance of ongoing education in strengthening enterprise security. Paul highlights the crucial role of Zero Trust and SASE architectures in modern network defense, using Kyndryl's own post-IBM spin-off transformation as a case study for successfully shifting to a cloud-first, AI-driven security approach. How can organizations modernize their infrastructure to stay ahead of evolving cyber threats? What steps should enterprises take to integrate IT and OT security more effectively? And how can AI-powered security tools help businesses navigate this rapidly changing landscape? Tune in to hear Paul's expert take on building a resilient, future-ready cybersecurity strategy.

How can women in tech overcome imposter syndrome, build confidence, and support the next generation of leaders? In this special International Women's Day episode of Tech Talks Daily, I sit down with Stacey Fournier-Thibodaux, President of Cask NX, to discuss the challenges and opportunities women face in the technology and consulting industries. With over 20 years of experience in professional services, global IT service delivery, and leadership at the largest pure-play ServiceNow partner, Stacey shares her personal journey from self-doubt to executive leadership. She offers practical insights into how women can navigate imposter syndrome, shift their mindset, and cultivate resilience in fast-paced, high-pressure environments. We also explore the role of mentorship, representation, and psychological safety in creating inclusive workplaces. Stacey shares real stories of women she has mentored into leadership roles and provides actionable strategies for those looking to take bold career leaps. Whether you're an aspiring leader or looking to empower the next generation, this conversation is packed with valuable lessons on career growth, confidence, and fostering a more supportive tech industry. As we celebrate Women's History Month, what steps can businesses take to retain and elevate diverse talent? How can leaders create environments where everyone feels seen, heard, and valued? Tune in to hear Stacey's insights on building a stronger, more inclusive future in tech.

How are fan relationships reshaping the music industry and beyond? In this episode of Tech Talks Daily, I sit down with Nick Holmstén, the visionary behind Spotify Playlists and former Global Head of Music at Spotify, to explore how fandom is becoming the driving force behind brand and artist success. Nick shares his journey from building Tunigo—acquired by Spotify to leading TSX Entertainment in Times Square and now focusing on the future of artist-fan connections. With streaming, social media, and emerging technologies shifting the power dynamic, fans are no longer passive listeners or consumers. They're shaping culture, promoting artists, and setting new industry trends. We discuss how the rise of independent artists and direct-to-fan platforms is changing music distribution, why brands should rethink their audiences as communities rather than customers, and how blockchain could introduce new transparency and reward systems for engagement. Nick also shares insights from his new book, Fan-Powered Futures, which explores how companies and creators can thrive in this new landscape. With more industries embracing engagement-driven models, what lessons can businesses take from the evolution of the music industry? And how will AI, Web3, and digital innovation further transform entertainment? Tune in to hear Nick's thoughts on what's next for artists, brands, and fan-powered economies.

How is open source shaping the future of technology, governance, and AI regulation? In this episode of Tech Talks Daily, I sit down with Amanda Brock, CEO of OpenUK, to explore the evolving role of open source in the age of AI, the shifting geopolitical landscape, and the ongoing push for diversity in tech. Since our last conversation, AI has taken center stage, raising urgent questions about transparency, intellectual property, and the future of open innovation. Amanda shares insights on how OpenUK advocates for open technology frameworks, the importance of sustainable funding for open-source projects, and the growing influence of standards in shaping global AI policy. She also discusses the UK's unique position between the EU's regulatory-heavy approach and the US's innovation-driven model—offering a glimpse into how policymakers grapple with the balance between governance and technological progress. With the episode airing on International Women's Day, we also dive into the state of diversity in tech. While open source has historically been a gateway for talent from all backgrounds, Amanda highlights the challenges ahead as many organizations scale back DEI initiatives. She shares how OpenUK fosters inclusivity through events like State of Open Con and why open source remains a critical entry point for aspiring developers worldwide. We also discuss the AI Action Summit and its impact on global AI policy, the rise of open-weight AI models, and why the phrase "tools, not rules" could define the future of AI governance. Amanda also discusses her work on AI openness at AI for Good in Geneva and sustainability initiatives at COP30 in Brazil. She also shares how businesses and policymakers can contribute to a more open, collaborative future. How can open source drive innovation while ensuring accountability in AI? And what role will the UK play in shaping the global tech landscape? Tune in for a thought-provoking discussion with one of the leading voices in open technology.

How can something as simple as returning a lost item transform customer experience and brand loyalty? In this episode of Tech Talks Daily, I sit down with Skyler Logsdon, CEO & Co-founder of Boomerang, to explore how his company is redefining the lost & found process through AI-powered automation. Boomerang isn't just helping businesses return lost belongings—it's turning those moments of frustration into powerful customer engagement opportunities. With major brands like Wells Fargo Center, Universal Studios, and top MLB & NFL teams using Boomerang's platform, lost & found has become more than just an operational challenge—it's a differentiator in customer experience. Skyler explains how AI-driven matching streamlines the process, reducing the burden on businesses while dramatically increasing the chances of reuniting customers with their valuables. But more than efficiency, it's about trust. Every successfully returned item creates a meaningful connection between a business and its customers, reinforcing loyalty in a way that no marketing campaign can. We also discuss how Boomerang's rapid expansion is building a global network of trust. From sports stadiums to theme parks and hotels, businesses are recognizing that lost & found is no longer just a back-office function—it's a key touchpoint in the customer journey. Looking ahead, Skyler shares how Boomerang plans to scale its impact in 2025 and beyond, with the goal of making lost item recovery seamless across industries worldwide. How can businesses turn small moments of frustration into lasting customer loyalty? And what role does AI play in creating frictionless, trust-building experiences? Tune in to hear how Boomerang is revolutionizing lost & found and changing the game for customer experience.

How can AI drive the next wave of innovation in healthcare while ensuring trust, security, and compliance? In this episode of Tech Talks Daily, I sit down with Rajan Kohli, CEO of CitiusTech, to explore how agentic AI is reshaping healthcare. From personalized patient care to streamlining clinical workflows. As AI systems take on more decision-making responsibilities, the challenge is not just about advancing technology but ensuring it operates transparently, ethically, and securely. Rajan shares insights into the biggest trends shaping healthcare technology in 2025, including the resurgence of value-based care, the shift toward on-demand personalized healthcare, and the urgent need to break down data silos for better insights. With agentic AI moving beyond passive data analysis to active decision-making, we discuss how it can improve efficiency, support medical professionals, and transform everything from diagnostics to patient engagement. But with these advancements come critical concerns. How do we ensure that AI-driven decisions are explainable and auditable? How can organizations comply with stringent healthcare regulations like HIPAA and GDPR while leveraging AI to enhance care delivery? Rajan breaks down the key trust-building frameworks needed to make AI adoption both responsible and effective. We also dive into real-world use cases, such as AI-powered virtual agents that support medication adherence, optimize clinical trials, and even assist with claims processing. These applications demonstrate how AI can ease the burden on healthcare providers while improving patient outcomes. However, cybersecurity remains a major challenge, with the healthcare industry increasingly targeted by data breaches and cyber threats. Rajan explains how leaders can strengthen AI security, prevent data manipulation, and implement strong governance models to mitigate risks. As healthcare undergoes a massive digital transformation, what will it take to balance AI innovation with the ethical and regulatory demands of the industry? And how can AI truly enhance—not replace—human expertise in healthcare? Tune in to hear Rajan Kohli's expert perspective on the future of AI-driven healthcare.

How can businesses stay ahead of the rapidly evolving risks of AI-driven fraud? In this episode of Tech Talks Daily, I sit down with Bradley Niedzielski, Audit & Assurance Partner, Digital Transformation at Deloitte, to explore the growing threat of generative AI in financial fraud and how organizations can strengthen their defenses. With deepfake technology, synthetic identities, and AI-generated forgeries becoming more sophisticated, traditional fraud detection methods are struggling to keep up. Deloitte projects that AI-driven fraud losses in the U.S. could reach $40 billion by 2027—more than tripling from 2023. Bradley shares insights from Deloitte's latest research, including a startling statistic: over 25% of businesses have already faced a deepfake financial fraud attack, and more than half expect these threats to escalate within the next year. Despite this growing concern, only 7.4% of companies prioritize technology as their primary defense, and less than half feel confident in their ability to combat AI-powered fraud. So, what's holding them back? And what steps should organizations be taking right now to strengthen their fraud risk management frameworks? We discuss the critical role of AI governance, the importance of transparency in AI decision-making, and why human oversight is still essential—even as AI becomes more autonomous. Bradley also highlights how finance departments increasingly embed AI into their workflows, from automating financial close processes to leveraging AI-driven scenario planning. But as AI becomes a core part of financial operations, ensuring data integrity and preventing blind trust in AI-generated outputs is more critical than ever. Beyond risk mitigation, we explore how businesses can prepare their teams for the AI-driven future. Bradley shares best practices for upskilling finance professionals, fostering a culture of innovation, and ensuring AI adoption aligns with broader organizational goals. With AI reshaping finance functions at an unprecedented pace, how can companies implement it securely while maintaining regulatory compliance and operational efficiency? As generative AI continues to disrupt the financial landscape, how can businesses balance innovation and risk management? And what strategies will define the next generation of AI-powered finance operations? Tune in to hear Bradley Niedzielski's expert take on navigating the opportunities and challenges of AI in finance.

What does the future of work look like in an era of hybrid models and AI-powered collaboration? In this episode of Tech Talks Daily, I sit down with James Campanini from Logitech to explore how workplace technology is evolving to empower productivity, foster inclusivity, and reshape how we think about collaboration—beyond office walls. For over 45 years, Logitech has connected people to the digital world, from early peripherals like mice and keyboards to today's advanced video conferencing and AI-driven solutions. James shares how Logitech's approach to hybrid work isn't about forcing employees back into the office but rather about ensuring that work happens effectively—whether in an office, at home, or on the move. Businesses focusing on how people work rather than where they work are seeing higher engagement, reduced burnout, and better overall productivity. We also dive into AI's role in Logitech's innovations for years, from intelligent camera systems that automatically adjust lighting to noise-canceling technology that ensures remote workers are heard as clearly as those in the room. As AI continues transforming business operations, James explains why it's not about replacing human decision-making but optimizing workflows, reducing time spent on repetitive tasks, and making meetings more inclusive for everyone—regardless of location. Beyond technology, we discuss a growing concern in the corporate world: employee monitoring. With increasing companies turning to surveillance tools, Logitech advocates for a different approach—focusing on presence rather than policing. By equipping teams with the right tools, organizations can create an environment of trust and collaboration rather than scrutiny and micromanagement. We also explore real estate trends as businesses rethink office spaces, shifting from rows of desks to more flexible, multi-purpose environments that better support hybrid collaboration. What's the right balance between in-person and remote work? And how can technology ensure all employees have an equal seat at the table—physically and digitally? With AI reshaping the way we work and businesses needing to do more with less, how can organizations create productive but also inclusive and engaging workplaces? Tune in to hear how Logitech is leading the way in redefining the future of work.

How can businesses deploy AI with full transparency, accountability, and trust? In this episode of Tech Talks Daily, I sit down with David Villalón, co-founder of Maisa AI, to explore how their agentic AI technology is transforming enterprise decision-making. With many organizations still hesitant to integrate AI due to concerns over trust, hallucinations, and lack of explainability, Maisa has taken a different approach—ensuring full traceability in AI-driven processes. David introduces Maisa's Vinci KPU and its "Chain-of-Work" concept, which moves beyond traditional generative AI models to create structured, deterministic decision-making processes. Unlike black-box AI systems that provide probabilistic answers, this approach allows organizations to see exactly how AI reaches its conclusions, making compliance and regulatory approval far more achievable. We discuss why this is a game-changer for industries like finance, oil & gas, and automotive—sectors where AI decisions carry high stakes and require robust governance. With AI agents becoming increasingly autonomous, businesses must balance efficiency and oversight. David explains how Maisa's model allows for independent AI operation while ensuring humans remain in the loop for critical decision-making. He also shares best practices for mitigating AI-related risks, including financial losses and reputational damage, through governance frameworks and real-time intervention capabilities. Beyond today's AI applications, we look at the bigger picture—how agentic AI reshapes leadership and organizational structures. As AI takes on more operational tasks, leaders are shifting from hands-on execution to managing networks of AI-powered "digital knowledge workers." What does this mean for the future of work? How will businesses adapt to remain competitive in an AI-driven economy? Looking ahead, David shares his insights on the biggest opportunities and challenges facing AI adoption over the next five years. With AI evolving rapidly, how can companies future-proof their AI strategies while maintaining trust and control? Tune in to hear how Maisa is pioneering a new era of AI-powered decision-making.

Are you getting what you need from Tech Talks Daily? Or is there something missing? In this episode, I'm stepping back from interviews to check in with you—my incredible listeners. I know I'm guilty of keeping my head down, recording back-to-back conversations, and pushing out episodes without stopping to ask: What do you want to hear more of? What should I cover less? Are there industries or tech trends you think deserve more attention? This show is all about exploring the impact of technology in and outside the workplace, breaking down the ROI and measurable impact of every innovation in a way that everyone can understand. But I want to make sure I'm asking the right questions and featuring the right voices. So, tell me—what's on your mind? I'm also taking Tech Talks Daily on the road! If you're attending IGEL Now & Next 2025 in Miami or the Qualtrics X4 Summit in Salt Lake City or the Bay Area, why not grab a coffee or a beer and chat in person? Beyond the podcast, I work with businesses, leaders, and brands to help them share their stories—whether through thought leadership blogs, ghostwriting, or launching their own podcasts. If time constraints have been holding you back from stepping up your content game, let's talk. So, what do you think? What's next for Tech Talks Daily? What trends should I chase down? Who should I be speaking with? Let's make this a two-way conversation. Reach out, and let's make it happen. I'm listening. Are you in?

How can brands leverage emerging technologies to drive real business results? In this episode of Tech Talks Daily, I sit down with Sarah Salter, Global Head of Innovation and Platforms at Wavemaker, to explore how companies can move beyond hype and apply AI, AR/VR, and other innovations in ways that truly engage consumers and deliver measurable impact. With a background spanning 15 years and work on groundbreaking projects for brands like P&G, Nationwide, and the NHS, Sarah brings a unique perspective on digital transformation across industries. Innovation isn't about chasing trends—it's about solving real business challenges. Sarah shares how Wavemaker helps brands set clear KPIs and use emerging tech strategically, from AI-driven personalization to immersive brand experiences in gaming and the metaverse. We discuss key lessons from major tech initiatives, including the NHS's COVID-19 WhatsApp response and Nationwide's Local Voices campaign on Alexa and Google, and how these projects balanced agility, accessibility, and meaningful engagement. As AI continues to reshape marketing, brands are navigating a shift from interruptive ads to participatory experiences. Sarah highlights how companies like L'Oréal and Dove are leading with AI-driven campaigns and why gaming is becoming a major frontier for brand engagement. But with rapid technological change comes challenges—how do businesses keep up, invest in the right skills, and ensure innovation stays inclusive? A passionate advocate for diversity in tech, Sarah also shares her thoughts on why diverse teams lead to better innovation and why the industry must do more to support women in leadership. From fostering STEM education to initiatives like WPP's Back in the Game, she discusses what's needed to build a more inclusive future in technology. How can brands use technology to connect with audiences in more meaningful ways? And what does the future of immersive, AI-powered marketing look like? Tune in to hear Sarah Salter's insights on the next era of brand innovation.

How can AI transform project management without adding unnecessary complexity? In this episode of Tech Talks Daily, I sit down with Miya McClain, VP of Product Management at Smartsheet, to explore how embedded AI tools are reshaping the way teams collaborate, manage data, and deliver successful projects. With an engineering background and deep product expertise, Miya shares how Smartsheet is tackling some of the biggest challenges in project management, from data overload to team burnout. AI in project management isn't about replacing human decision-making—it's about enhancing it. Miya explains how Smartsheet's AI-driven insights help teams cut through the "data mess," turning scattered information into clear, actionable intelligence. With 63% of eligible Smartsheet plans already leveraging AI tools, businesses are seeing improved efficiency, better decision-making, and a significant reduction in manual work. We also discuss how AI can proactively identify risks before they derail a project, providing managers with real-time visibility into potential roadblocks. This not only minimizes stress but also helps teams stay on track without last-minute scrambles. And as AI continues to evolve, Miya shares her perspective on the future of agent AI—where technology doesn't just analyze data but also recommends the best projects to tackle, assigns the right people, and even personalizes onboarding experiences. But as AI adoption grows, so do concerns about responsible use. Miya highlights Smartsheet's commitment to data security, ensuring customer data is never co-mingled or used for training. She also debunks common AI myths, explaining why project managers remain vital, even as AI takes on more of the repetitive tasks. With AI poised to redefine project management, how can businesses ensure they're using it strategically and responsibly? And what does the future hold for AI-powered collaboration? Tune in to hear Miya McClain's insights on the evolving role of AI in the workplace.

What is the future of document generation in 2025, and how should businesses navigate the risks of AI? In this episode of Tech Talks Daily, I sit down with Christian Lund, co-founder of Templafy, to explore how AI-powered document automation is reshaping productivity, compliance, and security in modern enterprises. As companies push for greater efficiency, many are adopting AI tools to streamline workflows. But AI's effectiveness depends heavily on context—and context is something you can't always rely on users to provide. Christian shares why most people approach AI like a search engine, entering a handful of keywords and expecting the right results. But would you brief a colleague with just a few disjointed words? Better briefs lead to better outputs, whether you're working with humans or AI. This is where Templafy steps in, delivering AI-powered document generation solutions that integrate seamlessly with platforms like Microsoft Office, Google Workspace, and Salesforce. Trusted by over 800 enterprises, including KPMG, BDO, and Adobe, Templafy automates document creation while maintaining compliance and brand consistency—saving employees up to 30 days per year. We also dive into why the best automation happens when humans are less involved. Far from sidelining human input, this approach reduces compliance risks and frees employees to focus on high-value work that drives business growth. Christian explains how Templafy orchestrates AI models, data sources, and workflows to ensure optimal outcomes, from sales collateral to RFP responses. Plus, we explore future trends, including AI agents and stronger orchestration that allows businesses to stay in control of AI-powered processes. How can businesses balance the push for faster workflows with the need for secure, compliant documents? And what role will AI agents play in tomorrow's document generation landscape? Tune in to discover how Templafy is paving the way for smarter, safer automation.

Are we ready for a hedge fund world where machine learning guides trading decisions and data scientists outnumber traditional traders? In this Tech Talks Daily Podcast episode, I sit down with Gary Collier, CTO of Man Group, to find out. Man Group traces its roots back more than two centuries to its days supplying rum, yet it now stands at the forefront of AI-driven finance. Gary explains how the firm's open-source platforms, Alpha and Rosa, power everything from signal generation to automated execution, all while keeping a firm grip on the art of human oversight. I found it intriguing how their internal ManGPT system used by over half the organization proves that large language models and neural networks aren't just hyped. They're part of daily operations in purely systematic strategies and supporting discretionary portfolio managers who want real-time insights from a sea of unstructured data. We also explore ArcticDB, Man Group's open-source data science database, enabling it to process billions of rows quickly. Gary argues that without this kind of data infrastructure, AI research stalls under the weight of time-consuming manual tasks. Throughout our conversation, Gary shares how his hobbyist coder and physicist background influences a data-first culture. It was fascinating to hear how he believes AI could soon disrupt creative aspects of quantitative research, allowing advanced models to generate strategy ideas rather than simply refining existing ones. At the same time, he underscores the importance of transparency. In a world where billions in assets are at stake, pure black-box automation doesn't cut it, and teams need to explain how trades are executed and why the data looks the way it does. From front-office analytics to deep research projects, it's clear that AI pulses through Man Group's veins. Still, Gary reminds me that people remain vital for framing the right questions and deciding when to trust the outputs. Will AI become the main engine of future hedge fund strategies, or will human ingenuity continue to guide our biggest calls on the market? And how will your organization embrace the growing tide of machine-led innovation?

Is your organization prepared for an era in which AI does more than just offer a helping hand, but actively partner with human teams? In this episode of the Tech Talks Daily Podcast, I sit down with Randy Weakly, Chief AI Architect at ImageSource, to explore the fast-changing world of agentic AI and how it's shaping the future of intelligent automation. After years of working in fields ranging from aerospace engineering to NASA, Randy now leads the AI efforts at ImageSource, a company that has spent decades refining enterprise content and customer experience products. He shares how ImageSource incorporates natural language processing and computer vision to manage documents across finance, healthcare, and government, showing how AI can tackle everything from scanning hundreds of forms to transcribing hours of audio. Randy highlights the importance of a human-in-the-loop approach, insisting that while AI can automate countless tasks, oversight keeps projects accurate and ethically grounded. He talks about ImageSource's "AI Empowerment Blueprint" for organizations that want to integrate AI responsibly, stressing that governance frameworks are no longer optional. I found it enlightening to hear about their journey toward hyperautomation, where agentic AI agents might soon perform tasks with minimal human input. Randy believes that by 2025, this approach will redefine how businesses operate, allowing enterprises to reshape processes, save time, and uncover fresh opportunities for growth. We also discuss how AI can occasionally surprise us by performing advanced tasks one moment and stumbling on simpler ones the next. That variability drives the need for codified workflows and oversight, especially when security and ethics hang in the balance. Listening to Randy's vision, I was struck by how he sees the biggest opportunities for AI in the next three to five years: from boosting routine workflows to powering new products and services that haven't even been imagined yet. Will your business embrace agentic AI and the promise of human-machine collaboration, or will you wait until these intelligent systems become the norm?

What will the future of AI accessibility look like when Big Tech no longer dominates the infrastructure? In this episode of Tech Talks Daily, I explore this question with Dr. Seena Rejal, the Chief Commercial Officer at NetMind.AI. Seena brings over 15 years of experience in deep tech ventures across the US and UK. As a two-time founder, investor, and now CCO of NetMind.AI, his mission is clear: democratize access to AI by breaking the centralized control of high-performance computing. NetMind.AI is pioneering a decentralized GPU computing platform through its blockchain-enabled NetMind Power, making AI affordable and accessible for everyone. But how exactly does decentralization level the playing field in an AI landscape dominated by major players? Seena shares his insights on how this approach not only empowers startups and researchers but also tackles some of the industry's most pressing challenges, such as GPU shortages, environmental costs, and Big Tech's increasing appetite for nuclear energy. Our conversation explores the growing role of agentic AI and its real-world applications across multiple sectors. How are AI agents enhancing efficiency and transforming decision-making processes? Seena explains why agentic AI could be the next big shift in AI adoption and what businesses need to know to stay ahead. We also discuss recent moves in the semiconductor industry, including Amazon's efforts to build AI chips designed to rival Nvidia, and what this means for the future of AI infrastructure. Throughout the discussion, Seena emphasizes the ethical implications of rapid AI advancement. With misinformation and deepfakes becoming more common, how can decentralized, open-source approaches help create a more transparent and secure AI ecosystem? Seena believes that by distributing AI infrastructure and fostering open access, smaller players can compete with big tech giants while promoting ethical standards in AI development. As AI technology evolves, will decentralization be the key to unlocking its full potential for everyone? What will it take for businesses to embrace this shift? Listen to this insightful conversation and let me know—do you believe decentralized AI is the future?

Have you ever wondered how technology could help solve the growing challenges in the UK's water industry? With increasing cost pressures and rising consumer demands, the water sector is at a critical juncture. In this episode of Tech Talks Daily, I'm joined by Sandeep Bhattarai, Utilities Value Advisor at SAP UKI, to explore how digital solutions can help water companies navigate these turbulent times. SAP's latest research reveals that 34% of water company leaders are grappling with challenging cost pressures, with 94% believing that investment must rise to meet customer expectations. Sandeep shares his insights into the root causes of these financial strains and how a lack of digital infrastructure is slowing progress. He explains how technology adoption, or the lack thereof, is impacting the industry's ability to meet the stringent requirements of AMP8, a five-year regulatory framework starting in 2025. As we unpack the complexities of the water network, Sandeep highlights how digital transformation can streamline operations, reduce inefficiencies, and improve service delivery. But can technology truly be a silver bullet? Sandeep addresses this question head-on, offering practical solutions for overcoming the skills gaps, operational silos, and knowledge barriers that continue to hinder digital adoption. Looking ahead, we discuss what the future holds for the UK water industry post-AMP8. Will the sector embrace the digital revolution required to meet evolving demands? How can leaders harness technology to ensure sustainable growth and customer satisfaction? Tune in to this conversation and share your thoughts—what role do you think technology should play in shaping the future of water services?

What does it take to transform a men's health start-up into one of the fastest-growing digital healthcare providers in the UK? In this episode of The Tech Talks Daily Podcast, I explore this question with Sokratis Papafloratos, founder and CEO of Numan. Since launching Numan in 2018, Sokratis has overseen its remarkable journey from offering solutions for erectile dysfunction to becoming a full-scale digital healthcare provider supporting over 500,000 patients. The business generated £30 million in revenue in 2023 and more than doubled in 2024, while building a team of over 150 professionals. But Numan's evolution isn't just about scaling services—it's about leading the future of health tech. Sokratis shares how Numan is setting new benchmarks by integrating AI, predictive analytics, and data science into its operations. We discuss the company's latest innovation: the AI Health Assistant, a groundbreaking tool designed to offer personalised, real-time health guidance while adhering to rigorous safety and regulatory standards. This tool, backed by Numan's proprietary Aegis Monitoring System, is redefining patient engagement, ensuring clinical accuracy, and delivering up to 99% clinically reviewed responses. Sokratis also outlines how AI can provide scalable, personalised healthcare solutions for stigmatised conditions like obesity. With the AI Health Assistant already supporting over 3,000 patients in its beta phase, we discuss how this technology has helped patients collectively lose over 200,000kg. Sokratis explains how Numan's patient-centred AI approach is bridging critical gaps in healthcare by ensuring safe, tailored support that evolves with patient needs. We explore Numan's ambitious plans to launch more AI-driven tools in 2025, aiming to lead the UK's health tech market and expand globally. Sokratis shares his broader vision for digital healthcare, insights on balancing technology with compassionate care, and the crucial role of AI safety frameworks like ISO42001. As the digital healthcare landscape continues to evolve, Numan's journey offers lessons in scaling innovation responsibly while staying patient-focused. How can AI reshape healthcare delivery? What challenges and opportunities lie ahead for health tech? Join us to hear Sokratis Papafloratos share his insights and help us understand how technology is transforming healthcare journeys for millions.

What happens when AI agents begin to outnumber humans? In this episode of The Tech Talks Daily Podcast, I sit down with Steve Lucas, CEO of Boomi, to explore this thought-provoking prediction and what it means for businesses, the workforce, and society. With extensive experience leading companies through transformative journeys, Steve brings invaluable insights into how organizations can prepare for a future dominated by AI. Steve delves into the concept of the "AI big bang," where AI agents are set to fundamentally reshape workforce dynamics and decision-making processes. He highlights how these agents are rapidly evolving, influencing everything from customer service and supply chain management to market analysis. But with this growth comes the pressing need for transparency, explainability, and control. How can businesses avoid being overwhelmed by this AI influx? Steve argues that companies must reimagine work processes and establish robust AI governance frameworks to ensure human oversight and ethical AI deployment. As AI becomes deeply integrated into everyday business functions, Steve outlines the critical role of protocols for future communication. The rapid evolution of technology requires clear frameworks to enable AI agents to interact in ways we can understand and control. He shares how Boomi is addressing this challenge by developing an AI governance platform designed to help organizations manage agent creation, execution, and compliance effectively. Steve also reflects on how business leaders can stay ahead in this rapidly changing landscape. With AI set to revolutionize global learning and knowledge accessibility, continuous learning becomes essential. Drawing on advice from industry leaders, Steve emphasizes the importance of dedicating time to understanding AI technologies and using AI itself for personalized learning experiences. This episode offers a deep look into how AI will shape the future of work, the critical need for governance, and the opportunities and risks that lie ahead. As AI agents become a powerful force in business, how will your organization adapt? Are you ready for the cognitive revolution that's already underway? Let us know your thoughts after the conversation.

What does it take to revolutionize the dining experience for a generation that holds $7.6 trillion in annual spending power? As America's largest contingent of Baby Boomers approaches retirement, the demand for elevated dining in senior living communities has never been higher. In this episode of Tech Talks Daily, I'm joined by Joseph Cuticelli, CEO of Restaura, a company poised to disrupt the $45.1 billion foodservice contracting industry. Restaura is not just changing what's on the menu—it's redefining how technology, data science, and hospitality converge to create personalized dining experiences that cater to the evolving expectations of the Longevity Economy. During our conversation, Joseph shares how Restaura is setting new industry standards by leveraging artificial intelligence, predictive analytics, and real-time data to gather resident feedback, optimize operations, and reduce food waste. With dining costs representing up to 20% of a senior living community's operating expenses, Restaura's tech-driven insights provide clients with smart dashboards offering real-time KPIs and sentiment analysis, ensuring that resident satisfaction and operational efficiency go hand in hand. But how does one balance cutting-edge technology with the compassionate care and culinary artistry that residents expect? Joseph explains how Restaura brings together nutrition science and personalized service to address not only the health but also the emotional well-being of residents. We also explore the growing need for tech-enabled responsiveness in senior living, where dining quality is key to attracting and retaining residents. As the conversation unfolds, we discuss the broader impact of the Longevity Economy and how senior living communities can stay ahead by blending technology with human connection. Is the future of senior dining about more than just food? Could AI and data science pave the way for a more sustainable, personalized approach to care? Tune in and join the discussion. How do you see technology transforming the way we approach aging and hospitality? Share your thoughts—this is a conversation worth continuing.

The demand for seamless connectivity continues to grow as industries, businesses, and consumers increasingly rely on digital infrastructure. In today's conversation, I'm joined by Christian Hillbrandt, CEO of Vantage Towers, to discuss how one of Europe's largest tower companies is shaping the future of mobile networks. With 86,000 towers spread across 10 European markets, Vantage Towers is at the center of expanding 5G coverage and enhancing network reliability. Christian shares insights on the progress of 5G rollout across Europe, the challenges of building sustainable and scalable infrastructure, and why connectivity across transportation networks—such as highways, railways, and airports—is becoming a priority. We also explore the company's efforts to drive efficiency through shared infrastructure, the shift toward renewable energy, and how Europe's approach to connectivity compares to the U.S. As the demand for faster, more reliable networks increases, how will companies like Vantage Towers support innovation while ensuring cost-effective solutions? Join us for a fascinating conversation on the technology that powers our digital world. What role do you think infrastructure providers should play in shaping the future of connectivity? Let us know your thoughts.

The internet is evolving, but so are the threats that come with it. The latest Bad Bot Report from Imperva, a Thales company, reveals a staggering statistic: nearly 50% of internet traffic now comes from non-human sources, with bad bots making up almost one-third of all online activity. These bots are no longer just simple scripts running in the background; they have become more advanced, leveraging AI to mimic human behavior and evade traditional detection methods. The consequences? A surge in transaction fraud, web scraping, data harvesting, and account takeovers, affecting industries across the board. In this episode, I'm joined by Lynn Marks, Senior Product Manager at Imperva, who returns to the podcast to break down the key findings of the 2024 Bad Bot Report. We explore how bot activity is evolving, why businesses need to rethink their approach to security, and what proactive steps can be taken to mitigate these threats. Lynn explains how attackers are shifting their focus from technical vulnerabilities to exploiting business logic, making it increasingly difficult for companies to detect and prevent malicious activity. We also discuss the growing security challenges surrounding APIs, which have become prime targets for cybercriminals. With half of all account takeover attacks now targeting APIs directly, organizations need better visibility and stronger protections in place to defend against automated threats. Lynn shares insights on why industries like gaming and travel are seeing disproportionate bot activity and how businesses can better secure their platforms. As AI legislation gains momentum worldwide, the conversation around bot management is becoming increasingly complex. How can companies stay ahead of evolving threats while ensuring compliance with emerging regulations? What lessons can be learned from past security failures? And more importantly, how can organizations take a proactive stance in the fight against automated cyber threats? Tune in for an eye-opening conversation that sheds light on the hidden dangers lurking beneath internet traffic and learn how to better protect your business from the growing wave of automated attacks.

Are businesses truly prepared for the evolving world of AI regulations? As artificial intelligence continues to reshape industries, organizations face mounting challenges in managing data integrity, balancing compliance with innovation, and ensuring ethical implementation. In this episode, I welcome Juan Orlandini, CTO North America at Insight, to explore the shifting AI regulatory landscape and how companies can navigate the road ahead. With so much hype surrounding AI over the last two years, many businesses rushed to adopt new technologies, eager to stay ahead of the curve. But as the dust settles, a new focus emerges—responsibility, regulation, and long-term strategy. Juan breaks down AI into three broad categories: creators, adapters, and consumers. Each faces distinct challenges, particularly as global policymakers attempt to establish clear frameworks for responsible AI use. The conversation dives into why businesses should begin by focusing on internal AI applications, where the risks are lower, and the immediate value is more tangible before expanding into customer-facing solutions. With AI regulations in the US still developing, California is leading the charge at the state level, much like it did with past privacy laws. Juan shares his thoughts on how these early policies could evolve into broader federal frameworks and what lessons the US can take from the European Union's approach with the AI Act. While regulation may seem like an obstacle, Juan argues that it also presents an opportunity for businesses to refine their AI strategies, ensuring their data assets are leveraged effectively while remaining compliant. Looking ahead, AI's role in business will only continue to expand, but how can organizations avoid the pitfalls of past technology trends? Juan offers insights into how companies can take a structured, methodical approach to AI adoption, ensuring they don't fall into the trap of following trends without a clear purpose. Whether it's identifying high-value, quick-win AI projects or integrating AI into existing enterprise systems without adding unnecessary complexity, Juan emphasizes the importance of measured, strategic implementation. The conversation also touches on the broader impact of AI on the workforce, the regulatory challenges that different AI categories face, and how organizations can foster innovation while mitigating risks. As AI becomes more ingrained in daily business operations, understanding the nuances of responsible AI adoption will be critical for companies looking to gain a competitive edge. Are organizations ready for the realities of AI regulation, or are they still in the hype cycle? And how can businesses strike the right balance between innovation and compliance? Tune in to hear Juan's expert insights and strategies for navigating the AI-powered future.

In today's episode, I welcome Ricardo Ferreira, EMEA Field CISO at Fortinet, to discuss how the UK's proposed Cybersecurity and Resilience Bill compares to the EU's NIS2 directive. Ricardo brings a wealth of experience in cybersecurity strategy and regulation, and he shares why he believes the UK's bill is missing key components that could make it truly effective. With Brexit allowing the UK to take an independent approach, Ricardo argues that there is a unique opportunity to cherry-pick the most effective elements from NIS2 while avoiding its potential pitfalls. But is the current bill providing enough clarity? Ricardo highlights how the legislation introduces buzzwords like "digital supply chain" without actually outlining a clear path for addressing cyber threats. In contrast, NIS2 lays out a prescriptive approach that includes risk profiling, supply chain security frameworks, and post-breach recovery strategies. We also explore the growing need for board-level accountability in cybersecurity. Should executives and directors be held personally responsible for cyber resilience within their organizations? And how can governments ensure that businesses have both the guidance and incentives to proactively address security risks rather than reactively scramble to contain breaches? With cyber threats only growing more sophisticated, the role of regulation in mitigating risk has never been more important. But does the UK's current legislative approach go far enough? And what lessons can be learned from international frameworks like NIS2? Tune in for an insightful discussion on the future of cybersecurity policy, where it's headed, and what needs to change to create truly resilient digital infrastructures. As always, I'd love to hear your thoughts—how should governments balance regulation with innovation in cybersecurity?

At the intersection of Web3, IoT, and AI, we're witnessing a technological shift that promises to redefine business, connectivity, and the metaverse itself. In today's episode, I'm joined by David Palmer, Chief Product Officer of PeerPoint by Vodafone, to explore the convergence of these technologies and what it means for the future of enterprise and digital interactions. David brings a wealth of experience in emerging technologies, and his new book, The Business of Metaverse, provides a roadmap for organizations looking to navigate and capitalize on the opportunities within this evolving digital landscape. He shares insights into how Web3 and AI are revolutionizing industries, enabling device-to-device transactions, and fueling new AI-driven business models. One of the most intriguing developments is Vodafone's PeerPoint platform, the world's first Web3 IoT platform, designed to give digital identities to IoT devices, allowing them to transact autonomously. Imagine in-car payments that don't require additional hardware, smart contracts securing enterprise AI interactions, and an IoT ecosystem that is no longer siloed by technical barriers. With an estimated 26 billion connected devices by 2025, the ability to securely exchange data and conduct business at scale will be a game-changer. We also discuss the three stages of metaverse evolution—from embedded experiences to full interoperability and convergence. AI is accelerating this transition, with generative AI and intelligent agents opening new possibilities for businesses. But while the opportunities are immense, many organizations are still grappling with how to translate these concepts into real business value. David shares practical examples of how industries like finance, education, and real estate are already leveraging these technologies to remove geographic barriers and unlock new economic models. As we look ahead, who will be the winners in this new digital era? How will businesses need to adapt to harness Web3, AI, and IoT effectively? And what role will AI-powered digital agents play in shaping the metaverse's next phase? Join us as we explore how the future of business is being rewritten in real-time—and what leaders need to do to stay ahead.

In today's episode, I'm joined by Simone Cardarelli CEO of MicroAlign to explore a groundbreaking innovation in fiber optics that could reshape quantum computing, data centers, AI, and space communication. With quantum computing advancing rapidly, every photon counts. Traditional fiber alignment methods struggle with precision, but MicroAlign's micro-actuator technology achieves 100-nanometer accuracy, vastly improving photon transmission efficiency. This advancement is critical for quantum computers, where precise photon management directly impacts computational power and scalability. But the implications go far beyond quantum computing. We discuss how this technology can revolutionize data centers by supporting co-packaged optics, improving AI processing efficiency, and enabling high-speed, low-loss communication in space applications. We also discuss the challenges of scaling production to meet industry demands and what the future holds for fiber connectivity in photonics. Could this innovation set a new standard for fiber optic connections across multiple industries? And what are the next big breakthroughs we can expect in photonic computing? Join us as we explore the cutting-edge world of photonics and its transformative potential. As always, I'd love to hear your thoughts—do you think fiber optic precision will be a game-changer for quantum computing and AI?

In today's episode, I'm joined by Kristina Hloptsidis, Chief Innovation Officer at Signify, to explore how AI is streamlining compliance workflows in the manufacturing sector. With regulatory requirements constantly evolving and global supply chains growing more complex, companies are under increasing pressure to ensure compliance without sacrificing efficiency. Kristina and her team at Signify are tackling this challenge head-on by using AI to automate compliance checks, reduce manual effort, and provide real-time insights for manufacturers. Signify, a startup that recently spun out of the AI2 Incubator, has raised $2.1 million to develop its AI-powered platform designed to analyze regulatory documentation and reduce risk across the product lifecycle. But while AI holds immense promise, integrating it into legacy systems and established workflows isn't always straightforward. Kristina shares the common challenges manufacturers face when adopting AI-driven compliance solutions, the strategies for overcoming resistance to change, and the practical steps businesses can take to implement AI without disrupting existing operations. We also discuss the broader implications of AI in manufacturing, from optimizing supply chains to leveraging robotics and computer vision for defect detection. As AI continues to reshape industries, how can manufacturers strike the right balance between automation and human expertise? And what does the future hold for AI-powered compliance management? Join us for this fascinating conversation on the intersection of AI, compliance, and manufacturing innovation. And as always, I'd love to hear your thoughts—do you think AI can fully replace traditional compliance processes, or will human oversight always be essential? Useful Links Signify - www.getsignify.com LinkedIn - https://www.linkedin.com/in/kristinahloptsidis/ Book Recommendation (Amazon Link)