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.