#enterprise AI
126 stories taggedenterprise AI · page 8 of 9.
Your AI chatbot isn't broken. Your data pipeline is.
Enterprise AI projects keep failing, and companies keep blaming the AI model. Senior data engineer Naveen Ayalla says the real problem sits one layer deeper, in the messy pipes feeding data to the model in the first place.
AI Token Spending Is About to Blindside Corporate Bosses, Warns Investor Chamath Palihapitiya
Companies are quietly racking up huge AI bills their CEOs don't even know about. One prominent tech investor says the shock is coming, and it will show up in earnings.
Open AI Models Let Companies Build Systems They Actually Own. Here Is What That Looks Like.
NVIDIA's Nemotron family is being shaped by law firms, hospitals and language communities into specialised tools that match frontier accuracy at a fraction of the cost.
NVIDIA's New AI Search Models Top Global Rankings and Cut Agent Costs
NVIDIA released three new embedding models that set a new accuracy record for AI information retrieval. The best one also helps AI agents finish tasks faster and cheaper.
Microsoft is coaching its sales team to badmouth OpenAI and Anthropic
The company that built its AI business on partners' models is now telling salespeople those same models are slower, less accurate, and too expensive.
A small team, a big bet: Ode and Anthropic want to replace whole consulting firms with a few sharp engineers
A new joint venture is planting AI specialists inside large companies, backed by some of the biggest names in finance. Whether a tiny crew armed with the right tools can outperform an army of traditional consultants is the real test.
Mira Murati's AI Startup Just Released Its First Model. It Wants Companies to Own Their AI, Not Rent It.
Thinking Machines Lab launched Inkling, a free-to-download AI model built for businesses that want to customise their own AI instead of paying a monthly fee to OpenAI or Google.
Rime raises $24 million to make AI phone calls feel less like talking to a robot
The San Francisco startup trains its voice models on real recorded conversations, not scraped internet audio. Its bet: better data means enterprise customers stop hanging up.
Meet Ode: The $1.5 Billion Company Anthropic Built to Put Its AI to Work Inside Your Business
Anthropic and a group of private equity firms have launched Ode, a new company that sends specialist engineers directly into businesses to implement AI. It is a bet that knowing how to deploy AI is now worth as much as building it.
This AI Router Cuts Costs by 2.6x by Learning From Its Own Mistakes
A new open-source system called ACRouter watches which AI model succeeds or fails on each task, remembers what it learned, and routes the next job smarter. In tests, it matched the performance of premium-only setups at less than half the price.
AI chip executives say demand is 'almost unlimited' even as companies get pickier about costs
Senior figures from chip startups, data centre builders and venture capital say AI infrastructure demand is outrunning supply. But enterprises are now asking hard questions about what they actually get back for the money spent.
Meta's Adam Mosseri thinks companies will soon put spending caps on AI tools, engineer by engineer
The head of Instagram says AI token budgets could become a standard line item on the corporate balance sheet, sitting right next to payroll.
Open-source AI models from China now dominate developer downloads. Does the frontier still matter?
Chinese open-weight models took 41% of Hugging Face downloads this spring. Developers are building with cheaper, customisable alternatives, and some big names think that shift is permanent.
AI agents are being trusted with more decisions than companies can actually verify
A new survey finds half of enterprises have already shipped an AI agent that passed internal tests and then broke something for a real customer. Only 5% fully trust the testing that is supposed to catch those failures.
57% of Enterprises Have Been Burned by a Confident AI Answer That Was Wrong. Here Is Why It Keeps Happening.
A new survey puts numbers on a problem IT teams already know: AI agents deliver wrong answers with total certainty, and the root cause isn't the model. It's the missing layer that tells the model what your business data actually means.