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.