Business & Startups - Page 39 of 47
AI company news, venture capital funding, startup launches, mergers, acquisitions, and major market moves in the AI industry.
AI company news, venture capital funding, startup launches, mergers, acquisitions, and major market moves in the AI industry.
Eighty-six percent. That’s the share of India's healthcare outsourcing sector now using AI, a hard leap from 65% just five years ago. Against that concrete backdrop, Tata Consultancy Services is automating the clinical trial watchdog.
Google is aiming for a thousandfold increase in AI computing power within five years. A thousandfold. That staggering target, announced this week, frames the entire high-stakes enterprise.
Forget the algorithms. This fight is about sheet metal, screws, and the industrial hum of a million server fans. OpenAI’s new deal is with Foxconn—the assembler of iPhones. They aren’t buying data center racks off a shelf.
Nearly half of all advertiser support tickets are now being quietly killed by a machine before a human ever sees them. That's the unvarnished result from a year of running Salesforce's Agentforce at an unnamed major social media company.
Everyone thought pre-training was a solved, boring part of building AI. Google just used it to take a lead. The company's latest models show that steady, unglamorous improvements to this foundational phase still translate into a real edge.
Silicon Valley is lying to you about its AI money. Specifically, it’s lying to the engineers it needs to hire. Startups have found a new way to dress up hype. They are taking revenue figures and turning them into recruitment brochures.
For years, data labeling was the unglamorous gatekeeper of AI deployment. Mark an image. Categorize a sentence. Done. That threshold has crumbled. The new bottleneck is agent evaluation, a fundamentally harder beast.
A hundred million dollars. A super PAC spent that sum to silence a chatty New York assemblyman, Alex Bores, over his relentless focus on AI safety. They failed. The money, drawn from venture capitalists like Marc Andreessen, aimed to erase him.
Everyone running large language models in-house is getting fleeced on GPU costs. ScaleOps claims it can stop that. The new platform says it can cut those infrastructure bills in half for companies hosting their own AI workloads.
Is typing a few words into a text box "active music creation"? Suno’s CEO seems to think so, but the company’s new Studio feature tells a different story. It adds drums, vocals, and stem separation, promising deeper control.
The Palma 2 Pro promised refinement. Instead, it delivers a regression. Onyx has stuffed this sequel with cellular connectivity, pen support, and better battery life, all genuinely welcome additions.
Google Antigravity doesn’t just update the coding toolbox, it rewrites the physics of software creation. Powered by the Gemini 3 family, this agentic development platform treats the IDE as a mission control center, not a text editor.
Elon Musk’s xAI is betting on Saudi Arabia. The kingdom, long built on oil, is now laying the foundation for something else: a sprawling network of GPU data centers that could power the next generation of frontier AI models.
Every company wants an AI plan. LTIMindtree just made its largest move, expanding a global Microsoft partnership into the core of its own growth engine. The firm's goal has shifted. It is no longer simply moving clients to Azure.
India's IT giants face a strange new kind of outsourcing. The threat isn't cheaper labor in another country. It's their own developers using OpenAI's and Google's AI coding tools to do the work faster. That's the blunt warning from IndiaAI's CEO.
Adobe just paid $1.9 billion to solve a new kind of marketing blindness. The problem isn’t that brands can’t see their customers, it’s that they can’t see the machines reshaping where those customers find them.
The numbers are staggering: $57 billion in revenue, five million GPUs powering AI factories across the globe. NVIDIA isn’t just riding the wave, it is the wave.
There’s a graveyard of AI agents out there. Ninety percent of them, according to Fetch.ai CEO Humayun Sheikh, never get used. Not because they’re broken, but because nobody can find them. No directory. No routing. No trust layer.
Executive optimism around AI has never been higher. But inside the trenches of global enterprises, where legacy systems, compliance, and millions of users collide, the path from pilot to production is anything but smooth.
The future of AI video generation isn’t built on YouTube’s blurry leftovers, it’s shot at 120 frames per second, with actors paid for their motion rights.
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