Bridging the expectation gap begins with creating a shared language for discussing AI.

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

The artificial intelligence (AI) systems most companies are building today are flying blind. Here's why context engineering is the missing piece and the race is already on. The promise of enterprise ...

Microsoft announced new agents for Word, Excel, and PowerPoint. They can help to shrink the gap between ideation and production. Other Copilot updates include an expanded Voice mode. In the era of AI ...

Chin's observation that the easy use cases are running out deserves attention. The first wave of generative AI adoption rewarded speed over architecture. The next wave will reward organizations that ...

Anthropic's Project Panama involved cutting and scanning millions of books for AI training. This method aimed for speed and ...

Project Genie is powered by Genie 3 along with Nano Banana Pro and Gemini. It is designed to turn simple text prompts or images into interactive worlds that users can explore in real time.

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

Practitioners who provide client advisory services (CAS) can address staffing pressures and rising client expectations through the implementation of artificial intelligence (AI) tools. Using AI tools ...

The Delhi Metro Rail Corporation (DMRC) has invited technology startups to collaborate on building an advanced Agentic AI–driven project management system, signalling a shift away from conventional ...