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4 stories filed under running on Beyond Market Intelligence. The newest of them: “Take Your Data Science Code from Notebook to Production”, “Your Next Home Appliance: An AI Assistant That Works for You”, and “An autonomous AI fleet on Tencent's cloud is probing Alibaba's map service”. Getting your data science code from notebook to production doesn't have to be a wall of friction. Andrew Feldman, CEO of Cerebras, envisions a future where personal AI assistants are as ordinary as a refrigerator or a dishwasher, running partly on your devices, partly in the cloud. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every running story on Beyond Market Intelligence, newest first.
Take Your Data Science Code from Notebook to Production
Getting your data science code from notebook to production doesn't have to be a wall of friction. This guide walks through the practical moves that turn experimental scripts into reliable, deployed tools, focusing on what actually works when you need your code running anywhere. For a deeper look at where rule-based logic can surprise you, our piece on when rule-based checks succeed at finding but fail at verifying offers a useful companion perspective.
Your Next Home Appliance: An AI Assistant That Works for You
Andrew Feldman, CEO of Cerebras, envisions a future where personal AI assistants are as ordinary as a refrigerator or a dishwasher, running partly on your devices, partly in the cloud. This isn't about adding another gadget to your countertop. It's about making intelligence a utility, always available and quietly working for you. For a deeper look at the security challenges this raises, see our story, "When Everyone Uses AI, Enterprise Security Faces an Unseen Gap."
An autonomous AI fleet on Tencent's cloud is probing Alibaba's map service
Independent researchers discovered an agent swarm running on Tencent's cloud infrastructure that appears to be probing Alibaba's Amap service. This autonomous AI fleet raises urgent questions about how we govern intelligent systems when they operate at scale. The discovery feels less like a technical curiosity and more like a preview of challenges ahead. For deeper context on managing multi-agent environments, see our piece "From one AI agent to many: smart governance for expanding fleets."
Your Local LLM Costs Less Than You Think, and Size Isn't the Reason
The cheapest local model isn't the smallest, and the priciest isn't the biggest. That's the takeaway from a hands-on measurement of eight models running on a single RTX 3090, where actual GPU electricity costs were tracked in euros per million tokens. It's a grounded, useful reality check for anyone exploring local AI. If you're weighing similar tradeoffs in your own workflow, our piece on verifying your AI's understanding offers another practical angle worth your time.