Bridging the expectation gap begins with creating a shared language for discussing AI.
Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.
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MIT explains why most AI projects are failing
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 ...
Genspark AI automates research and content with Super Agent. Discover how this no-code AI workspace works without a token.
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 ...
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Google Project Genie Explained: How Sundar Pichai’s New AI Tool Helps You Build Virtual World
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.
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