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.