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A December 2025 paper from Silicon Valley venture capital firm Foundation Capital, titled “AI’s trillion-dollar opportunity,” has generated significant excitement in the enterprise AI industry. The reason? It introduces the new concept of a “context graph,” a knowledge graph designed to capture a new AI paradigm known as “decision traces.” The context graph is emerging as a potentially powerful idea. The context graph approach could capture the full context, reasoning, and causal relationships behind critical business decisions, making it a highly practical concept. As the paper notes, “Agents don’t simply need rules; they need access to the decision traces that show how rules were applied in the past, where exceptions were granted, how conflicts were resolved, who approved what, and which precedents actually govern reality.” This point is echoed by some of the commentary on the prediction, which points out that the most important knowledge comes from the data about the decisions that
Read full articleThe rise of enterprise AI has exposed a glaring weakness in traditional data governance strategies: how to measure the success of data governance. Most organizations struggle in this space. But […] The post AI Success Depends on These Data Governance Metrics appeared first on AIwire.
Anthropic's rapid revenue growth and profitability highlight the transformative potential and competitive dynamics in the enterprise AI sector. The post Anthropic expects 130% revenue surge to $10.9B in June quarter appeared first on Crypto Briefing.
OpenAI would be one of the most highly anticipated potential initial public offerings, in what is set to be a major year of I.P.O.s for Silicon Valley.
Almost 50 years after he first got his hands on a computer, the Oxford professor still believes in the power of technology. Can his beloved game theory explain why Silicon Valley’s entrepreneurs consistently misuse it? Michael Wooldridge is like the teacher you wish you’d had: approachable, able to explain difficult things in simple terms, neither dauntingly highbrow nor off-puttingly cool, and genuinely enthusiastic about what he does. “I love it when you see the light go on in somebody, when they understand something that they didn’t understand before,” he says. “I find that incredibly gratifying.” He comes across a regular sort of guy, which, as an Oxford professor with more than 500 scientific articles and 10 books to his name, he clearly isn’t. Typically, his favourite work is his contribution to Ladybird’s Expert Books – an update of the classic children’s series – on artificial intelligence. “I’m very proud of this,” he says, as he hands me a copy from his bookshelf. We’re in hi
Why Silicon Valley is obsessed with taste.
Why Silicon Valley is obsessed with taste.
Meta told employees last month that it would carry out mass layoffs on May 20, as the Silicon Valley giant tries to transform into an A.I.-first company.
Day two of TechEx North America has been more of a deeper, critical examination of AI in the enterprise, but with a optimistic bent. The AI and Big Data programme opened with reference to what was termed the “AI graveyard” – that is, AI projects that seem to perform well in pilot, but don’t seem […] The post Enterprise AI roadblocks and roadmaps, security and physical AI: Day two at TechEx appeared first on AI News.
