3 themes shaping AI today — from recent conversations with customers and AI leaders:
- The future of AI depends on open ecosystems, lock-in holds everyone back.
- Managing AI takes human skills: direction, feedback, clarity.
- One of the biggest bottlenecks to AI implementation…
A Stanford–Harvard study finds AI helps when tasks are close to your skills. But far outside, you hit the “GenAI wall.”
What’s missing? Tacit knowledge – the instincts & judgment only experience builds. That’s the next big challenge for AI.
A year ago, AI pilots doubled as change management: safe, small, and symbolic.
Today, enterprise buyers know pilots ≠ progress. I'm seeing a shift to intentional rollouts: clear outcomes, role-based enablement, and networks of employee AI champions.
On Saturday, the Oakland Ballers became the first pro sports team to let AI manage in-game decision-making. AI set the lineup, decided when to pull pitchers, when to use pinch hitters, and how to position the defense.
The experiment offers useful lessons for all organizations:…
Every company is sitting on vast amounts of data, yet most of it never gets used. As a leader, I want answers to questions like: What were the five best ideas my teams discussed last week? Which projects are no longer aligned with our top priorities?
Too often, those answers…
For the second year in a row, @glean is honored to be recognized on the @Forbes Cloud 100 list of the world’s top private cloud and AI companies.
It’s been a milestone year. We’ve continued to build on our enterprise-wide horizontal AI platform, which has long powered Glean…
For the second year in a row, @glean is honored to be recognized on the @Forbes Cloud 100 list of the world’s top private cloud and AI companies.
It’s been a milestone year. We’ve continued to build on our enterprise-wide horizontal AI platform, which has long powered Glean…
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