product

and operating AI products involves making trade-offs. For instance, a higher-quality product may take more time and resources to construct, while complex inference calls could also be slower and costlier. These trade-offs are...

Kevin Weil, head of OpenAI for Science, pushes that analogy himself. “I believe 2026 might be for AI and science what 2025 was for AI in software engineering,” he said at a press...

In a recent Paris tech event, I had an exchange with data professionals. Our discussion focused on which domain is one of the best for data-driven professionals and find out how to best use...

! Welcome back to the “EDA in Public” series! That is Part 2 of the series; when you haven’t seen Part 1 yet, read it here. Here’s a recap of what we conquered. In Part...

I-day streak on LinkedIn Games. Yes, LinkedIn also has games, and so they’ve been around for over a 12 months. Sometimes, I notice recent games, design tweaks, and recent features being rolled out. As...

For SaaS (software as a service) corporations, monitoring and managing their product data is crucial. For individuals who fail to grasp this, by the point they notice an incident. Damage is already done. For...

You call your “AI Strategy Playbook” a set of mental models that help teams align on what to construct and why. Which models most frequently unlock clarity in executive rooms, and why do they...

under uncertainty is a central concern for product teams. Decisions large and small often must be made under time pressure, despite incomplete — and potentially inaccurate — information concerning the problem and solution...