Tag: enterpriseai
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Innovations from Google I/O 26 on Google Cloud
Google seems the cleanest when it comes to describing their AI stuff…it’s something like a mix of clear naming (aside from “Antigravity”) and functionality, and not carpet combing you with tools like AWS. 🔗 Innovations from Google I/O 26 on Google Cloud
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Amazon employees admit to using AI unnecessarily to pump up internal usage scores – workers complain of intense pressure to use AI tools
Tokens are the new lines of code. Also, yes, of course, “Goodhart’s Law,” blah blah. 🔗 Amazon employees admit to using AI unnecessarily to pump up internal usage scores – workers complain of intense pressure to use AI tools
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Buy your platform, AI edition
Building an internal agentic AI platform in banking or insurance demands a multi-year orchestration engineering commitment with a regulatory surface area that most organizations underestimate. [Bryan Ross] Tinkers and opexmaxxers take in huge risks when they decide to build their own platforms. And it usually fails, for at least seven reasons. 🔗 The hidden cost…
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Governed enterprise AI drives IBM’s strategy
The role of a CFO is you have to be focused on creating long-term sustainable competitive advantage and value creation, he said. Underneath that, you might ask, ‘Well, what does agent of transformation mean? What is the day in the life of a CFO?’ I would tell you, it’s a fundamentally different mindset and I…
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Execs admit AI makes them value human workers less
Sixteen percent of companies saw a negative ROI from AI investments last year, and 73 percent of executives whose AI efforts did pay off said ROI fell short of expectations, according to the report. 🔗 Execs admit AI makes them value human workers less
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From 38% to 81%: Why Doctor AI Adoption Just Doubled and What It Means for Healthcare
The American Medical Association just released its 2026 Physician Survey on Augmented Intelligence… 81% of physicians now use AI professionally, more than double the 38% figure from 2023. 🤖: “Adoption concentrated where the problem was acute and the use case was contained: medical research summarization and clinical documentation. AI scribes addressed note-writing without touching diagnosis…
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You Wanted to Become AI-Native, and All You Got Was a Lousy Foundation
It was a coherent program that optimized for efficient delivery. But it’s not what the board wanted. They were looking for a strategy to become more innovative and competitive in an environment where the time required to implement IT products has shrunk significantly. What they got was a fix-the-basics project that would consume most of…
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Bad advice from Wall Street on enterprise AI.
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Where are the enterprise AI apps? Part n + 1
Outside of programming, there’s still a dearth of enterprise AI apps, it seems. Palo Alto’s CEO: “Consumers are far outstripping enterprise for the moment, but we expect enterprise will surely and slowly get on that bandwagon,” he said on the company’s Q2 earnings call. … “Right now … tell me how many enterprise AI apps…
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Your Boss Doesn’t Know What to Do With AI Enterprise AI Has a Product-Market Fit Problem. Enterprise AI isn’t stalled because the models are weak. It’s stalled because we haven’t discovered product-market fit inside the enterprise yet. You don’t find real AI value by theorizing in workshops. You find it by running experiments for months…
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Lots of yes-but’ing here, inc. this gem for y’all security folk: Wall Street doesn’t understand the reluctance of enterprise CIOs to trust startups with mission-critical data or value the expertise needed to run SaaS reliably at scale as much as the shiny new thing. 🔗 A day of reckoning for the AI boom
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Day 2 AI looms
Achieving enterprise AI ROI still tough: According to a recent Gartner poll, over half (53%) of participants were exploring Agentic AI, whereas 25% were piloting it and only 6% had reached production mode. The high exploration and pilot percentages suggest strong interest and perceived potential in Agentic AI. However, ==the low production percentage implies barriers…
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Amazon’s enterprise AI strategy, explained by Neil Ward-Dutton
Neil Ward-Dutton, an IDC analyst focused on AI, automation, data and analytics, said three announcements on the first day of the conference were of note. “AWS AI Factories is one,” he said. “These are AWS AI infrastructure and software stacks, built and managed by AWS, but deployed in customers’ own datacentres. “These are, at least…
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You need a proxy for enterprise AI Google Cloud suggests using a centralized proxy to mediate all communication between clients and remote MCP servers. This proxy enforces access control, audit logging, secret policies, and secure transport, helping reduce the attack surface by having one enforced point rather than many decentralized servers. In addition, Google emphasizes…
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Anthropic Economic Index report: Uneven geographic and enterprise AI adoption – 🤖: “Enterprise deployment via Anthropic’s API exposes a different facet: businesses adopt AI programmatically to automate. 77% of API usage is automation-dominant, particularly in coding, debugging, office administration, and recruitment. Surprisingly, firms are not especially price-sensitive; higher-cost tasks see higher adoption if they deliver…
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In 2026, I’d like to see a lot more coverage about the actual enterprise AI apps people are building and running. // Agents show promise, but widespread usage in the enterprise remains elusive
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Agentic Design Patterns, book draft –


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