On Cloud

Virtualization is shifting, workloads are moving, and AI adoption is accelerating. Learn from Red Hat how organizations can adapt, integrate, and thrive amidst the changes.

Can AI bring equity and efficiency to health care? Yes, with its power to balance patient outcomes, business, and trust while transforming clinical workflows.

Is your data a security an asset or a liability? Dive deep into the new rules for threat detection, resilience, and AI & cloud-driven cyber security.

Want trustworthy AI? Discover how observability, real-time monitoring, and modern platforms are reshaping how we build accountable, explainable systems.

Quantum computing is closer than you think. Uncover strategies, talent challenges, and why long-term planning is essential for tomorrow's enterprise.

Can your AI systems be tricked into leaking data? Learn how red teaming can expose hidden vulnerabilities and what you can do to build better defenses.

AI agents are moving from experiment to implementation. That's forcing changes in systems design, infrastructure, governance, and enterprise operations.

Quantum computing is moving from theory to reality, and it's reshaping technology, AI, and cybersecurity. Technology strategies must move with it.

Cloud costs are spiraling for many organizations. In this On Cloud podcast Pooja Kumar, VP Cloud Strategy & Transformation at Prudential Financial and Tim Potter, Principal, US Engineering Leader for Insurance, Investment Management, and Real Estate at Deloitte, discuss how to rein them in with FinOps-driven cost control, AI-powered automation, and culture change.

GenAI is transforming testing with automation, flexibility, reliability, and speed. But anti-bias and resiliency standards remain essential.

As digital systems grow more complex, a new approach to resilience is emerging: resiliency engineering. It helps enterprises embed reliability, adaptability, and recovery deep into their system architecture.

Edge computing and AI are reshaping industries with real-time insights. Success hinges on lifecycle design, clean data, and a secure, scalable architecture.

Strong partnerships between business and IT and integrated teams can drive innovation and growth to create more value from tech investments.

Live from Google Cloud Next 2025, Gary Arora, Bill Briggs, and Mamoun Hirzalla discuss AI agents, LLMs, and the future of tech in transforming business processes.

How can AI make streets safer and smarter? With AI, predictive analytics, and human-centered design that combines technology with collaboration.

Declining enrollment was a problem at WKU. The university used AI-powered analytics to optimize outreach, which helped increase enrollment and revenue.

The new DORA State of DevOps report explores the AI trust gap in the SDLC, culture's impact on DevOps success, and the rise of platform engineering

Software-defined vehicles integrate AI, cloud, and DevOps, with open source to enable continuous updates and create new revenue streams for manufacturers.

Agentic AI is 2025's hottest tech trend. However, AI governance, sustainability, and talent upskilling are also top of mind for organizations.

AI-driven edge and automation, industry clouds, and DevEx were some of 2024's biggest cloud trends. They're shaping the future of business and technology.

According to Gary Arora, chiplets; Generative AI; and innovations in solar energy, quantum computing, edge computing, and 5G are among the top five tech breakthroughs of 2024. They are reshaping the present and will potentially redefine the future.

AWS re:Invent innovations include offerings to improve analytics and deliver new generative AI capabilities. They are redefining digital transformation tech.

Generative AI and quantum computing are reshaping defenses against evolving cyber threats. They're helping organizations better manage risk and improve resiliency in an increasingly complex, dangerous environment.

App rationalization in digital transformation can be complex. AI-enabled tools and automation can simplify the process and drive greater business value.

When measuring developer productivity, traditional output metrics might not tell the whole story. So, its essential to look at environmental, organizational, and cultural factors for a holistic view.

Digital transformation isn't optional; it's imperative. One key to a successful transformation is an effective API roadmap--coupled with AI--that enables the data integration that drives deeper insights.

Technology such as Generative AI, coupled with community-led strategies, can boost sustainability while powering business growth and innovation.

Industry clouds are modular cloud computing solutions that are designed to meet particular, industry-specific needs. Can they live up to the hype? Yes.

The future of cloud is here, and it's compelling organizations to reshape their IT culture and redesign their operating model, as well as account for the explosion of Generative AI.

Blocking the use of Generative AI can lead to AI chaos. Instead, to harness its power, organizations should embrace it and develop policies to govern it.

With the explosion of AI technologies, shadow AI can wreak havoc. SRE can calm the chaos.

W. Edwards Deming revolutionized management theory. His philosophy and core principles can also be applied to software engineering to enhance the process and produce better apps.

Quantum computing is the next frontier for IT. And, although it's not quite ready for prime time, it's essential for organizations to understand its power and potential.

Generative AI is hot, but it's also a bit of an enigma. However, if you can define it and understand how it works and how to use it, it can help you revolutionize how you do business.

Generative AI is revolutionizing software development. It's gone beyond code generation to copiloting. The result? Improved productivity and faster innovation.

At Google Cloud Next 2024, Google announced enhancements to Gemini and Model Builder, as well as efforts to reduce hallucinations and improve model accuracy.

AI is coming to edge computing, and it's bringing productivity increases, new business models, and revenue streams to drive growth and innovation.

Although Generative AI has the potential to be revolutionary, companies still have to go through proven decision-making processes to get the implementation right. And, as with other IT initiatives, it's (almost) all about the value.

Generative AI and cybersecurity are becoming closely linked. Generative AI can boost security, but its LLMs need to be secured in a race against time and bad actors.

Culture is a big component of software engineering success. A commitment to excellence and employee satisfaction is crucial. Success begins at the top with strong, passionate leadership.

Cybersecurity is a critical issue for nearly every company. Deloitte's global cyber leader, Emily Mossburg, discusses what's new, and what's next, in cyber.

In this LinkedIn Live episode of the On Cloud Podcast, Deloitte's David Linthicum and Mike Kavis make their predictions on what's next for cloud in 2024.

What happened in cloud in 2023? Generative AI was the biggest event, but there were other trends, too, like resiliency, FinOps, talent, and repatriation.

Organizations can optimize cloud value by building a hybrid, open, sustainable cloud architecture--augmented by Generative AI--that can scale as needed.

Use cases for edge computing are growing, and more companies are figuring out how to return value to the business by going to the edge.

To return more value from cloud, it's essential to optimize its infrastructure. Intel's Josh Hilliker has thoughts on how you can do that with optimization—and policy-as-code, as well as effective governance.

Generative AI is revolutionizing how we work and live, but it can be complex to navigate. VMware's Alexander Romero gives advice on how to succeed with this technology.

AWS re:Invent 2023 was focused on Generative AI. AWS announced many new tools to help organizations leverage Generative AI now, and in the future.

Implementing Generative AI requires re-evaluating all aspects of cloud architecture to ensure that it is optimized to return value to the business.

Airports are leveraging cloud and AI to transform operations and provide their customers with enriched experiences, which can boost revenue.