Altara secures $7M to bridge the data gap that’s slowing down physical sciences
Altara’s AI aims to diagnose failures and help speed up R&D by unifying data siloed across spreadsheets and legacy systems.
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A simulation of how a single forecast change moves through five planning teams, and why most retailers lose money in the gap between Sales and Stores. The post How Spreadsheets Quietly Cost Supply Chains Millions appeared first on Towards Data Science.
Read full articleAltara’s AI aims to diagnose failures and help speed up R&D by unifying data siloed across spreadsheets and legacy systems.
In today’s newsletter: With the use of facial recognition skyrocketing, there are calls for the rapid development of safeguards Good morning. Over the last couple of days, the Guardian has been reporting that facial recognition technology is being rolled out across the UK at a pace that appears to be outstripping the rules designed to govern it. Police forces are increasingly using live systems to scan members of the public in real time, while retailers are deploying similar tools to identify suspected shoplifters. Advocates of the technology argue that facial recognition is effective and here to stay. Critics warn it risks creating a system where people are monitored – and sometimes wrongly flagged – without clear safeguards. Middle East crisis | Donald Trump has threatened that Iran will be “blown off the face of the earth” if it attacks US vessels trying to reopen a route through the strait of Hormuz. Delivery industry | More than 7,000 Just Eat couriers are taking legal action agai
Welcome to AI Insider’s The Week Ahead in AI. See the key developments and events we’re watching May 3- 9. Weekend AI News Briefs AI Facial Recognition Oversight Lagging Far Behind Technology, Watchdogs Warn According to The Guardian, Britain’s biometric watchdogs warned that the rapid expansion of AI-powered facial recognition technology by police and retailers is […]
OpenAI just announced its new GPT-5.5 model, which the company calls its "smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer." OpenAI just released GPT-5.4 last month, but says that the new GPT-5.5 "excels" at tasks like writing and debugging code, doing research online, making spreadsheets and documents, and doing that work across different tools. "Instead of carefully managing every step, you can give GPT-5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going," according to OpenAI. The company also notes that … Read the full story at The Verge.
Mario asked me why 18% of his shipments were late when every team hit their target. I built a live simulation, connected an AI agent, and let it investigate. The post I Simulated an International Supply Chain and Let OpenClaw Monitor It appeared first on Towards Data Science.
Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use. Organizations are deploying copilots, agents, and predictive systems across finance, supply chains, human resources, and customer operations. By the end of 2025, half of companies used AI in at least three business functions, according to a recent survey. But as AI becomes…
At Cadence’s annual user conference in Santa Clara this week, anticipation in the room was palpable as Nvidia CEO Jensen Huang joined Cadence CEO Anirudh Devgan on stage to open […] The post Cadence Maps Its Future Beyond EDA With Agentic AI and Simulation appeared first on AIwire.
I can’t claim to be a professional software developer—not by a long shot. I occasionally write some Python code to analyze spreadsheets, and I occasionally hack something together on my own, usually related to prime numbers or numerical analysis. But I have to admit that I identify with both of the groups of programmers that […]