The AI in Business Podcast

This is episode two of five in our series on AI strategy, and today, our guest is Bret Greenstein, Partner at PwC. Bret has worked at many of the largest consulting companies in the world, and he now leads AI efforts at PwC. This special series focuses on building an enterprise AI strategy to align departments and efforts with striving for a long-term and near-term ROI. One of the main themes Bret discusses in this episode is the importance of executive fluency for assessing and building skills. Brett also gives his perspective on balancing a variety of small, disjointed AI projects distinct from business operations and connecting them so that strategy can come to life. Visit emerj.com/beg1 to learn more about the practical steps for AI deployment for non-technical professionals.

This week we are diving into the topic of AI strategy with a new series devoted to exploring how to build an enterprise-wide AI strategy and align company efforts to optimize long-term ROI while still seeing an immediate return with leaders at top companies. To start the series, we welcome back David Carmona. David is the General Manager for Artificial Intelligence and Innovation at Microsoft. In this episode, David speaks about how Microsoft didn't get its AI strategy quite right initially and what they learned from their approach. The critical takeaway he shares is educating leadership to bring everyone to a level of solid conceptual understanding of AI. He explains how this educational element became a crucial underpinning for how they turned things around and built a strategy that can help inform where they are going as a company. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and more resources, visit emerj.com/p1.

This is another episode in our AI is Here series, and today, we're focusing on AI in the hospital setting. In this episode, we discuss patient data and being able to guide a patient's treatment journey with artificial intelligence. Our guest is Dr. Kostas Papagiannopoulos. Kostas is an Honorary Senior Lecturer at Leeds University and serves as Thoracic Surgeon for Leeds Teaching Hospitals. He is also a Medical Advisor to several substantial medical device companies and, until recently, was President of the European Society for Thoracic Surgeons. In today's episode, Kostas discusses where he's seeing AI make its way into the hospital setting and some of the critical barriers to adoption, and how leaders should overcome them. This series is brought you to by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you leading experts across industries to discuss where AI is making an impact today.

In this episode, we're focusing on the theme of artificial intelligence in the manufacturing industry. Today's guest is Scott Everett, CEO and Co-Founder at Eigen Innovations Inc. Scott discusses a variety of use-cases and ends this episode with some critical insights for our listeners working in the manufacturing space and some key adoption lessons that are transferable across industries for our listeners working in other sectors. This episode is sponsored by AI Partnerships Corp (AIP). AIP represents a network of 125 companies in AI and emerging technologies and serves as a matchmaker between buyers and sellers in the space. To learn more about AIP, stay tuned until the end of this episode. If you'd like to learn more about Emerj Media and how to reach our global executive audience, visit emerj.com/ad1.

Today's guest is Christophe Makni, Head of Business Operations at Migros Bank. Christophe shares a few key insights in this episode, starting with where natural language processing is finding a fit in banking today and the real deployments in the world. Secondly, he provides straightforward advice on identifying the low-hanging fruit for natural language processing and, in particular, document processing. Finally, towards the end of this episode, Christophe shares his ideas on encouraging adoption and some critical lessons he's learned through real adoption experiences. This episode is part of our ongoing AI is Here series. We have partnered with SambaNova to bring you this special series featuring AI leaders across industries to discover where AI is making an impact today. Make sure to tune in to the rest of the series here on The AI in Business Podcast on your preferred podcast platform.

Today's guest is Nick Pilkington, CTO of DroneDeploy. We're focusing on clean energy in this episode, and Nick walks us through how artificial intelligence is becoming more relevant in the renewable energy sector. He goes in-depth about where drones and AI serve to improve processes and safety for residential solar and EV charging companies. In the past five years, there's been a lot of change in the energy sector, and Nick provides his perspective on where the future is taking us, including what kinds of new capabilities drones and machine learning can bring to bear. This episode is brought to you by DroneDeploy. To learn more about Emerj Media and how to reach our global executive audience, visit emerj.com/ad1.

Today's guest is Sanjay Chopra, CEO and Founder of Cognistx. Based in Pittsburgh, Cognistx is a firm that works with propane and commodities distributing companies. In this episode, Sanjay discusses the problem with the inefficient delivery of propane. He also provides a lot of detail on the importance of data in terms of what kind of data we need to track and how it can be used to unlock value. Sanjay also shares his perspective on what this particular AI application might mean for the future of transportation and delivery of other commodities beyond propane. This episode is sponsored by Cognistx. If you're an AI vendor and would like to know more about working with Emerj to reach a global executive audience, visit emerj.com/ad1.

Today's guest is Peter Tu, Chief Scientist for Artificial Intelligence at GE Global Research. In this episode, Peter provides a full-circle perspective on how data can inform maintenance processes and optimize specific outcomes. He also discusses some of the challenges in bringing these applications to life and some of the obstacles that GE has had to overcome. Peter speaks about these challenges as transferable lessons across different elements of heavy industry that have really made AI start to come to life. This episode is part of our special AI is Here brought to you by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you leading experts in varied industries and discuss where AI is hitting the ground running today.

Today's guest is Emmanuel Walckenaer, CEO of YSEOP. In this episode, we discuss two core questions: first, how are enterprise leaders measuring the success of AI programs that are being used to augment human productivity? The second question is about where humans fit in the loop. In other words, why are humans still critical for certain kinds of workflows and decision-making processes? Emmanuel discusses the concepts of accountability and transparency and how those themes fit into humans' role as orchestrators of AI in the enterprise. He also gives his perspective on where he sees augmentation happen in the life sciences space while discussing several of YSEOP's use-cases applicable in other industries. Our sponsor of today's episode is YSEOP. If you're interested in reaching Emerj's global audience, be sure to visit emerj.com/ad1.

Today's guest is Arun Iyengar, CEO at Untether AI. Untether is a semiconductor firm based in Toronto, but with employees all over North America, including Silicon Valley. Arun previously worked with AMD, another major hardware and software firm in the Bay Area, before stepping into his current CEO role at Untether AI. In this episode, Arun shares some insight on the potential use-cases for video processing with artificial intelligence and some of the existing barriers for AI hardware, and how we might potentially overcome them. He also provides a perspective on where hardware is taking us into the future. There are a lot of use-cases for AI on the edge and there are a lot of new use-cases for video and image data – how can hardware play its part in being able to not only reduce the compute and financial cost of video processing but also open up new capabilities and enable businesses to do things that they couldn't do before? This episode is brought to you by Untether AI If you're interested in reaching Emerj's global audience on the biggest B2B AI podcast on the web, be sure to visit emerj.com/ad1.

Today's guest in our second episode of the AI is Here series is Gero Gunkel, COO for Zurich Customer Active Management at Zurich Insurance. He was formerly the company's Global Head of AI. In this episode, Gero provides his perspective on the accessibility of NLP applications in insurance and where it's making a difference today. Gero also gives a good idea of why that is, what use-cases he's seeing make a dent today, and connects those thoughts to what the future of insurance looks like. This special AI is Here episode is brought to you by SambaNova Systems, the sponsor of this series. SambaNova believes that AI is Here, and we've partnered with them to bring these episodes to you. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today, our guest is Brett Beranek, VP and General Manager for Security and Biometrics at Nuance Communications. For an AI company, Nuance is relatively large. Microsoft recently bought the company for $19.7B, and they serve a variety of industries. Our topic today is the importance of subject-matter experts. Brett provides essential insights regardless of your industry because subject-matter experts play an important role in AI adoption. Within Emerj Plus, we have a long executive guide on the importance of subject-matter experts, and this interview will provide a lot of richness and depth on top of that from first-hand experience. If you're interested in learning more about Emerj Plus and how to unlock our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

Today's guest is Ian Wilson, Managing Director at Strategy 4 AI, a strategy and consulting firm based in Cambridge in the UK. He discusses two crucial topics in this particular episode. First, where can AI actually step in, interact with a customer, and not make it worse but potentially improve? Ian talks about some of those use-cases and how to identify them within a financial services institution. The second main topic Ian discusses is some of the challenges and how to identify where humans may offer a better experience and where it might make more sense to keep them in the loop, and what it will take to overcome that moving forward. Ian will soon join us on our other podcast called "The AI in Financial Services Podcast," where we specifically focus on use-cases in that industry. Be sure to subscribe to your preferred podcast platform to hear his insights, perspective, and more in that upcoming episode.

Today's episode is part of our new sponsored series called "AI is Here," where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we're exploring the energy sector by speaking to an AI expert at one of the world's largest energy firms: Shell. Today's guest is Dan Jeavons, VP of Computational Science, Digital Innovation, and IT. In this episode, Dan speaks about leveraging AI to simulate the operations of an energy firm to achieve better business and sustainability outcomes. He also paints a picture of the world we're headed into, one with a more distributed energy ecosystem where the environment is an even more important consideration for energy firms. This special episode is brought to you by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you AI trends and impacts affecting different industries today in this new Wednesday series. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today's guest is Matt Berseth, Co-Founder and CIO of NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. In this episode, we're exploring the transition from light involvement in data and data science to much more deep participation, where there are a lot of transferable lessons in adoption ideas. We also discuss the lasagna vs. pizza analogy from an excellent past interview. Matt describes how we can take the data leveraged by that product and use it to help the users save time, give them more convenience, or open up more capabilities. He also articulates the gradual process of working at the surface level, learning lessons, and rebuilding some of the core components of a product. This episode is brought to you by NLP Logix. To learn more about Emerj Media and how we help AI services firms reach a global audience, be sure to visit emerj.com/ad1.

Today's episode is part of our ongoing AI Success Factors series, where we cover one enterprise AI use-case with a measurable ROI and discuss what made it successful every Monday. Today, we're going to explore the topic of maintaining railways. Our guest this week is Adam Bonnifield, CEO of Konux. Konux applies its AI technology to the rail space, and in this episode, Adam shares his perspective on a unique use-case between Konux and Network Rail, a large railway firm in the United Kingdom. Adam walks us through why achieving ground truth data was so critical for this project and what it looked like to work together with Network Rail to make those key distinctions in terms of computer vision and imagery that would define the success of the project. Discover more AI use-cases, best practice guides, white papers, frameworks, and more at emerj.com/p1.

Today's guest is Ed d'Archimbaud, Co-Founder and CTO of Kili Technology, based in Paris, France. He has previously worked with large financial institutions such as BNP Paribas, which he speaks about in this episode. We focus on two main topics in this episode: first, we discuss some paperwork-heavy workflows tied to compliance and how AI can provide a solution. The second main topic is data-centric AI and what it looks like to put it into action. Towards the end of this episode, Ed shares how he believes subject-matter experts will be critical to the future of democratizing the technology and winning long-term adoption in the financial services industry and elsewhere. This episode is brought to you by Kili Technology. If you'd like to learn more about reaching Emerj's global executive audience, visit emerj.com/ad1.

Today's guest is Michael Berger, Head of Insure AI at Munich Re. In this episode, Michael brings to bear his perspective as someone with technical experience in the industry and as the leader of Insure AI at one of the world's largest insurance firms. Michael provides a sense of the risks inherent to large AI deployments, from legal risks to physical threats and more. He also discusses how monitoring and pricing risk from an insurance policy standpoint can be updated and act almost as a living document based on the adopting and changing application itself. If you'd like to discover more financial services use-cases, be sure to subscribe to our other show, The AI in Financial Services Podcast, on your preferred podcast platform and find more use-cases on topics such as banking, insurance, wealth management, and much more.

Today in our latest AI Success Factors series episode, we are focusing on the world of heavy industry while highlighting lessons that can be applied any and everywhere. Our guest this week and Chris Joynt, AIoT Co-innovation Leader for the Solutions Group at PTC. PTC is a software firm based in the Boston area. In this episode, Chris discusses what it takes to measure ROI across several different dimensions. He also emphasizes the importance of feature engineering, what it is from a conceptual point of view, and how to use subject-matter experts to handle feature engineering and bring out elements of the data that can support enterprise leaders in their decisions. This episode is sponsored by PTC. If you'd like to learn more about reaching Emerj's global executive audience through our podcasts, newsletters, and more, visit emerj.com/ad1.

Today's guest is Stefan Boronea, Co-Founder and CTO of Proportunity. Based in London, Proportunity is a company that has raised over $170M. In this episode, we dive into the topic of where machine learning can add value in terms of accurately predicting the price of homes both now and in the future. Stefan highlights the kind of data and features that are important to understand the price of a home in the present and the future. Another critical idea he shares is about the future of the market when both buyers and sellers have access to vastly more accurate data on estimating and forecasting prices. He discusses these ideas from the standpoint of buying and selling houses and gives a perspective on how they may impact larger assets. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

This week's guest on our ongoing AI Success Factors series is Gero Gunkel of Zurich Insurance. Until recently, he was the Global Head of Artificial Intelligence for Zurich Insurance, and he is now the COO of Zurich's Customer Active Management or ZCAM. In today's episode, Gero discusses one particular use-case in helping to handle the extreme volumes of customer support inquiries that Zurich receives during certain seasons. There are two main takeaways: first, where to find the low-hanging fruit for customer experience applications for AI, and second, how to "think big and start small" from an actionable steps level in a way that achieves a measurable ROI. If you are in the financial services industry or interested in more related use-cases, be sure to subscribe to our other program called "The AI in Financial Services Podcast" on your preferred podcast platform to gain industry insights from enterprise leaders.

Today's guest is Pamela Negosanti, the Head of Sector Strategies for Financial Services at Expert.AI. In today's episode, Pamela speaks to us about the policy review process for cyber insurance. There are two main stand-out points: first, how a new technology shift and further regulation make AI almost a requirement for a particular business workflow, and second, some concrete workflow advice for applying artificial intelligence to contracts and text documents. There's an evident business value here and a very clear before and after picture of where AI helps to augment the expertise of human experts who are doing policy reviews. This episode is brought to you by Expert.AI. If you're interested in reaching Emerj's global executive audience through sponsored podcasts, content, co-branded research, and more, visit emerj.com/ad1 to learn more about Emerj's Media Services for enterprise AI vendors.

Welcome back to our AI Success Factors series, where we publish a short episode every Monday highlighting one AI use-case and the most important factor that leads it to a positive ROI. Today's guest is Emily Bremner, SVP of Product at Signal AI. Based in London, Signal AI is a company that has raised over $100M and is working on leveraging AI to pull in and make sense of various external data streams. In this episode, Emily discusses Signal AI's long-term work with Deloitte, detailing how they've partnered with them and measured success. She also shares how in addition to leveraging the technology for their own decisions, their key use-case is using this streamlined information to support and retain relationships with clients. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today's guest is Roey Mechrez, CEO and Co-Founder of BeyondMinds. BeyondMinds is an AI company based in London. Recorded live in London, this episode highlights the topic of data-centric AI. Roey provides a clear definition of this concept and discusses what it implies for the future of enterprise AI projects. He also speaks about the specific ideas that non-technical business leaders need to understand to identify suitable projects and manage them to achieve a return on investment. Roey is also a valued Emerj Plus member. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

This week's Success Factors series episode highlights a use-case of construction and AI. In today's episode, we speak about one of the UK's most prominent building and construction companies that used artificial intelligence to better estimate their cost with greater confidence and credibility than their competitors and make a case for why they should win the job. Our guest is the Co-Founder and CEO of a London-based company called nPlan, Dev Amratia. Every Monday, we publish a short episode as part of our ongoing AI Success Factors series, highlighting one specific AI use-case and what made it successful. Discover more AI use-cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Today's guest is Sunil Tahilramani, Director of Artificial Intelligence at UiPath. Valued at about $40B, UiPath is one of the robotics processing automation world leaders. In today's episode, Sunil discusses what the journey from RPA to AI looks like. He details some of the use-cases where AI might be able to add value where RPA can't and how to get from regular automated workflows to more robust workflows that enable more capability with AI. If you're interested in Emerj's best practices and frameworks for AI ROI, AI strategy, and our entire library of AI use-cases from financial services to banking, wealth management, and beyond, you can learn more at emerj.com/p1.

Today's episode is part of our ongoing AI Success Factors series. Every Monday, we publish 15-minute episodes that focus on an enterprise success story where we discuss one particular factor that made the project successful. Today's guest is Nikunj Mehta, CEO, and Founder of Falkonry. Falkonry is an AI service firm based in the Bay Area, focusing primarily on heavy industry. In today's episode, Nikunj highlights the extreme importance of subject-matter expertise when it comes to knowing when to pull in a champion to lead a project to success. Nikunj discusses these core themes in the context of a specific client success story in the steel manufacturing space. To access Emerj's frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today's guest is Amaresh Tripathy, Senior Vice President and Global Business Lead for Analytics at Genpact. Genpact has some 80,000 employees, and Amaresh leads a global team of nearly 8,000 analytics experts covering everything from data engineering, machine learning, data insights, and more. This episode focuses on data fabrics and what separates the idea of a data fabric from a data lake, and how enterprise leaders can make sure that this fabric translates immediately to use-cases that add value with near-term ROI and building long-term capability. Amaresh also clarifies the concept of data fabric and ties it to use-cases applicable in business with real examples from some of Genpact's clients. Join Emerj Plus at emerj.com/p1 to discover more AI use-cases, best practice guides, whitepapers, frameworks, and more.

This is our series on AI success factors where we cover one specific enterprise AI project that was a success, highlighting the problem, impact, and what made it a success every Monday. One of our five guests in our recent week-long series on AI ROI was Gopalan Oppiliappan, the Head of the AI Centre of Excellence for Intel. In that episode, he discussed framework thinking for making decisions about AI projects to achieve greater success. In today's episode, Gopalan shares how he puts those frameworks in action with a specific success story about inventory management at Intel. He gives a real example of crawl, walk, run and how it made a positive financial impact at Intel. He also discusses a key strategy for measuring and determining economic impact. If you enjoyed today's episode, be sure to go back to listen to Gopalan's recent episode and the rest of the insight-packed series on AI ROI.

Today's guest is Ash Fontana, Special Advisor at Zetta Venture Partners based in the Bay Area. After recently publishing his book, "The AI-First Company," Ash joins us again on the show to discuss some of the core transferable lessons he's learned. Our topic for this episode is advantage. Ash discusses a way of thinking about building momentum around data and gaining long-term advantage as a result. This episode is one of two episodes Ash recently recorded with us. If you enjoyed today's episode, be sure to tune in to his second episode on The AI Consulting Podcast to gain insight on how services companies can turn into AI product companies.

Today's guest is Dr. Charles Martin, Founder of Calculation Consulting. Charles has worked on real enterprise deployments with companies like eBay, BlackRock, and exciting startups like Aardvark, which Google acquired. Today's episode is part of our ongoing Monday series highlighting one key factor for one specific successful enterprise deployment. In today's episode, Charles discusses a project with Walmart focusing on the use-case of product recommendations in different languages and geo-regions. The main success factor he speaks about is the champion who brings the project through to success. He specifically describes the qualities and behaviors of a good champion. Stay tuned until the end of this episode to learn more about our resources to help AI champions in the enterprise.

Today is episode five out of five of this week's special series on Achieving ROI with Early AI Projects. We've heard from leaders from Intel, Oracle, and other big names, and today, we're wrapping this series up with someone from the startup world. Our guest is Nikunj Mehta, Founder and CEO of Falkonry. Falkonry is an AI services business focused on heavy industry and manufacturing based in the Bay Area. In this episode, Nikunj describes a portfolio approach to find several related AI projects and capabilities that are likely to turn into a win. He also discusses why an enterprise's most important objectives are not always the best fit for early AI projects. Stay tuned until the end of this episode to learn about the AI ROI reports that we're making available for a limited period.

Today's episode is part four out of five in our Achieving ROI with Early AI Projects series. This week, we have published one episode per day, starting with the Head of the AI Centre of Excellence for Intel. Today, we're bringing it down to more of a consultancy and vendor perspective from someone who has worked with some of the largest enterprises in the world. Our guest is Dr. Charles Martin, a Silicon Valley AI Consultant with hands-on machine learning experience with organizations like Ebay, BlackRock, and more. In this episode, Charles discusses the concept of data quality mismatch, which can serve as a useful diagnostic tool for estimating what kinds of tasks it will be best suited for. He also speaks about picking projects where you have the data assets to achieve ROI. Be sure to visit emerj.com/p1 to access Emerj's frameworks for AI readiness, ROI, and strategy.

Today is the third episode of this five-part series being published every day this week on achieving ROI with early AI projects. We've heard from the Head of the AI Center of Excellence at Intel and the Head of Insure AI at Munich Re, and today, we speak with the VP of Engineering for Oracle's Digital Assistant, Raefer Gabriel. Raefer was a previous guest on the show, and he's also worked on Amazon, including their Alexa platform, and had a startup before then. In this episode, we speak from his perspective on how we can achieve that early AI ROI. He also details how you can diagnose the data assets required to meet a specific goal to determine if your data would be a good fit and start with more modest projects on the crawl, walk, run scale. Be sure to tune in to the rest of the series to gain valuable insights and advice from enterprise leaders on achieving ROI with early AI projects.

This is the second episode of our five-part series on achieving ROI, with early AI projects taking place this week. This series brings together great perspectives from various leaders around advice that can help us bypass typical mishaps to achieve AI ROI. Today's guest is Michael Berger, Head of Insure AI at Munich Re. Munich Re is a $60B insurance giant heavily invested in cyber insurance and AI insurance. This episode focuses on risk and, more specifically, what kinds of questions we can ask upfront to screen for risk. Michael also provides advice for enterprise leaders in various industries to make smarter decisions regarding risk. During this special series week, we are giving away some of our AI ROI reports here at Emerj. Be sure to tune in until the end of this episode to learn more about these offers for our listeners and subscribers.

Today is the start of a five-day series covering achieving ROI from early AI projects. In this series, we interview diverse experts from companies large and small about what it takes to pick AI projects with the highest chance of ROI. Our first guest is Gopalan Oppiliappan, Head of the AI Centre of Excellence at Intel Corporation. In this episode, Gopalan discusses how to structure project selection and AI project management in a purpose-built to find ROI. As we launch this series this week, we have also made the "AI ROI in Action" report free for download at emerj.com/r5. Previously only available to Emerj Plus members, you can get it for free now to learn more about predicting the costs and returns of AI projects and how to communicate these findings to leadership in a way that sets the right expectations.

Today's guest is Emmanuel Walckenaer, CEO of YSEOP. YSEOP is a natural language generation AI vendor serving life sciences and drug development. In today's episode, Emmanuel speaks about speeding up the drug development process through the lens of the life sciences industry being in extreme flux and what happens when a new normal is achieved and how companies have to scramble to keep up with it. Emmanuel also talks about the expansion of AI projects and capabilities in the enterprise. Today's episode is brought to you by YSEOP. If you're an AI vendor looking to reach a global enterprise audience, you can learn more about how we work with vendors from sponsored podcasts, articles, co-branded research, lead generation, and more at emerj.com/ad1.

In the third episode of our AI Success Factors series, we're discussing a public sector application of AI. This Monday series is designed to deliver concise, industry-agnostic insights to start your week with a specific use-case and the most crucial success factor that brought it to life. Today, our guest is Richard Benjamins, Chief AI and Data Strategist at Telefónica. As one of the world's largest telecommunications companies, Telefónica is a business that makes over $50B in annual revenue and has more than 100,000 employees worldwide. In this episode, Richard speaks to us about a specific project designed to reduce COVID cases by using data related to the movement of people. He also discusses the project's results detailing how it was used in the real world and what factors led to its success. If you enjoyed this episode, be sure to tune in for the rest of the AI Success Factors series on The AI in Business Podcast at podcast.emerj.com.

Today's guest is Daniele Cordioli, Head of Solutions Consulting for EMEA at Expert.ai. In this episode, Daniele discusses what contract analytics means and the concrete use-cases we can get from it. There are two big transferable lessons that Daniele highlights in this interview. The first lesson is determining the low-hanging fruit cases where AI can save money and reduce risk when dealing with your volume of contracts. Second, the proper method to establish where the business value lies in your own business. This episode is sponsored by expert.ai. If you're interested in reaching Emerj's global AI-focused executive audience through podcasts, emails, sponsored content, and more, you can contact us at emerj.com/ad1.

This is our second episode of our new Monday series highlighting AI Success Factors. Our guest is Beena Ammanath, the current Executive Director of the Global Deloitte AI Institute. Beena is also the Founder of Humans for AI, an organization that provides AI education for underrepresented female minorities, and recently wrote a new book called "Trustworthy AI". In this episode, she discusses one of GE's early AI projects around procurement and how using a crawl, walk, run strategy can lead to tens of millions of dollars in savings. Be sure to tune in next Monday for the next episode in this series and start your week with pivotal insights about how to turn AI into ROI no matter what industry you're in.

Today's guest is Carlos Escapa, AI Global Business Development Manager at Meta (formerly Facebook), and in this episode, we explore what business leaders need to know about open source. Carlos clarifies what open source is and what is relevant for enterprise leaders, and the kinds of situations in which open source tools might be more suitable. He also discusses where leveling up and retaining talent crosses over with open source. Be sure to join Emerj Plus at emerj.com/p1 to unlock our entire library of AI use-cases, best practice guides, white papers, frameworks, and more.

Today's episode is the first of our new Monday series, AI Success Factors. This series will feature a short episode every Monday for the next four months geared towards starting your week with a look at what it takes for AI to succeed across industries and sectors. Our first guest of this series is Raefer Gabriel, VP of Engineering for Oracle's Digital Assistant. Raefer previously worked as Head of Engineering for Conversational AI at Amazon. In this episode, he explores a book recommendation use-case, looking at Amazon's roots from a new perspective. Raefer also identifies two key success factors: firstly, communicating value and strategically selecting projects, and secondly, picking your battles. Tune in next week for the second episode of this series to learn how to make your AI projects and ideas even sharper.

This week's guest is Peter Tu, Chief Scientist for Artificial Intelligence at GE Global Research. Peter joins us to discuss the transition from the previous era of AI into the current "third wave" of AI in a way that will make sense for business people. He also shares insight on what it'll take for AI to make the leap to contextual adaptation and what this might mean for business leaders in terms of how it could affect their current processes. If you're interested in discovering AI trends and being able to identify AI use-cases and trends in your industry, be sure to stay tuned until the end of this episode to learn more about Emerj's tools designed for business leaders and how to access them to discover more AI opportunities and maximize AI ROI.

This week's guest is Rajkumar Bondugula, Fellow and Luminary Scientist at Verizon. Rajkumar holds a Ph.D. in Machine Learning and was previously the Principal Data Scientist at Equifax. In this episode, Rajkumar clarifies some of the critical differences between business intelligence, analytics, and data science. He also discusses how these concepts build upon one another and help businesses level up their services. If you're interested in more insights on building AI maturity, building proper data science teams, being able to identify high-value AI projects and move them forward, be sure to check out Emerj Plus at emerj.com/p1 to unlock our AI best-practice guides, whitepapers, and entire AI use-case library.

Our guest this week is Stacey Shulman, Vice President Internet of Things Group / GM Health, Life Sciences and Emerging Technologies at Intel Corporation. In this episode, Stacey discusses where she sees AI make its way into healthcare now, how Covid has affected how adoption has been prioritized, and its consequences in the future. Stacey's insights about how healthcare is evolving are correlated to how other enterprises are also adjusting their strategies or potentially should be in the setting of the ongoing pandemic. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today's guest is Anand Mahurkar, Founder and CEO of Findability Sciences. With about 100 employees worldwide, Findability operates in a variety of industries, including manufacturing. In this episode, Anand provides an in-depth overview of the workflows that are impacted in predicting inventory and resource use in manufacturing. He also discusses what it looks like to determine the data sources you're going to use and influence the workflows you will use to make more informed forecasting decisions. This episode is sponsored by Findability Sciences. If you're interested in finding more high ROI use-cases in your sector, be sure to download our free PDF brief, "3 Ways to Detect AI Trends in Any Sector," at emerj.com/t3.

Today's guest is Bob Gaines, Managing Director of Business Development at SambaNova Systems, a firm based in the Bay Area that has raised $1B to date. Bob has worked in financial services and technology with companies like IBM, Cray Supercomputing, Deephaven Data Labs. In this episode, he brings his perspective on how this technology has evolved regarding AI's impact in finance and where it's going. He also discusses how AI is being used not just to look at the individual entities exchanging funds but also to look at the behavior of the entities around them and the entities they do business with. This episode is sponsored by SambaNova Systems. Visit emerj.com/ad1 to learn more about reaching our global audience.

Our guest this week is Dr. Seth Dobrin, the Global Chief AI Officer at IBM, one of the biggest names in artificial intelligence. In this episode, Seth returns to the podcast to speak about AI governance in terms of enabling innovation and driving better results for enterprises. He also discusses the right way to structure and think about AI governance to allow for efficiency and higher quality products. This episode is sponsored by IBM. If you're interested in reaching Emerj's business audience, be sure to visit emerj.com/ad1 to learn more about our media services.

Today's guest is Remi Duquette, Vice President of Innovation and Industrial AI at Maya HTT. Maya HTT is an engineering and industrial AI services firm that Remi's been with for twenty years. Remi draws on his hands-on experience to discuss the challenges and opportunities of improving productivity with AI in manufacturing. Today's episode focuses on the question of where artificial intelligence can be implemented into existing workflows to improve output. This episode is sponsored by Maya HTT. If you're interested in reaching Emerj's global enterprise audience, check out emerj.com/ad1 to learn more.

This week's guest is Gregory Diamos, Machine Learning Systems Engineering at Landing AI. Run by one of the most prominent names in the business AI world, Andrew Ng, Landing AI has raised over $50M to date. Before Andrew founded Landing AI, he and Gregory worked together in the Baidu Silicon Valley Research Lab. In today's episode, Gregory discusses a broad set of AI use-cases in agriculture that he thinks are going to make the most significant impact in the years ahead. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.