Big tech giants like Microsoft and Alphabet are suddenly pouring billions into AI, but the real problem isn’t the headlines—it’s the hidden costs. A sports tech company once discovered an engineer quietly burning $600, 000 a year across 40 AI models, all without anyone noticing. That’s the wild worl
Many big companies think they’ve cracked AI by buying fancy models, but the real problem lies in how they handle data. The main culprit is a weak data foundation that makes it hard to trust the information used by AI systems. Instead of focusing on algorithms, leaders should first build a strong,
OpenAI’s latest shake-up shows the company is doubling down on money-making AI rather than flashy research projects. Kevin Weil and Bill Peebles, key figures behind some of OpenAI’s most ambitious but costly ventures, have recently stepped away. Weil previously led efforts to push science forward us
Anthropic has lifted Claude Cowork from a testing phase into everyday office life. On April 9 the company opened it up to all paid users on Mac and Windows, adding a bundle of enterprise controls that let big teams use it safely. The real shift is in the extra safeguards. Enterprise plans now let m
Infosys and Anthropic have joined forces to make AI work better for big companies. This team-up is all about making AI smarter and more useful in different industries like telecom, banking, and manufacturing. The plan is to mix Anthropic's Claude AI models with Infosys's Topaz AI tools. This combo
AI is evolving fast. In 2026, it won't just be about bigger models. It's about how AI works with other AI, how it's controlled, and how it's trusted. This shift is big. It's not just about new tech. It's about making AI work better in real life. AI agents are becoming more like teammates. They can
AI is everywhere, but not everyone is ready to embrace it. A recent study shows that 83% of business leaders think a safe environment is key to making AI work well. This isn't just about having the right tools. It's about creating a place where people feel okay to try new things, even if they fail.
AI is in its early stages, like when electricity first came out. Back then, factories just swapped gas lamps for light bulbs. It made things brighter and safer, but the real change happened later. Factories redesigned themselves around electric motors. This changed how things were made and whole ind
The tech world is buzzing about AI models that can handle massive amounts of text. Some models can process up to 4 million tokens at once. This means they can read and understand huge chunks of information in one go. Think of it like reading an entire library in a single sitting. But does this reall
Cohere has introduced North, an AI platform that gives enterprises a secure way to use AI. This is a big deal because it competes directly with big names like Microsoft Copilot and Google Vertex AI. North combines AI models, search tools, and automation in one package. It's designed to keep a compan
