fix
fix on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on fix in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around fix, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Microsoft tests fix for latest hours-long Outlook outage
Microsoft is actively addressing the recent, widespread Outlook outage that caused significant email delays and failures. The company reports it’s currently testing a fix to resolve these issues, aiming to restore reliable communication for users. This follows a period where many experienced prolonged disruptions, highlighting the critical need for robust email infrastructure. For deeper insight into the underlying complexities impacting these systems, explore our related article, "You Never Told Your Agent What Done Means. It Decided For You."
Removing the AI check
We understand the frustration with the recent change to the error correction button. Previously a quick fix for incorrectly formatted data—like those Excel files sometimes saved as text—it now appears as an AI check, significantly slowing down the process. Many users, like you, are experiencing this delay while others retain the original, faster button. Explore manual cell adjustments as an alternative, though current limitations may prevent this. For broader insights into data management workflows, see our article, "Excel + Power Query and Power Automate."
Don’t Just “Throw Adam at It”: Misunderstanding Adam Will Cost You
Misunderstanding Adam—our AI-powered data optimizer—can lead to frustrating and costly failures. Don't simply "throw Adam at it"; a shallow approach will likely yield suboptimal results. This post dives deep into Adam's optimization dynamics, explaining precisely *why* it sometimes fails spectacularly and, crucially, how to rectify those issues. We’ll equip you with the knowledge to harness Adam’s full potential and avoid common pitfalls in your data workflows. For broader context on AI agent workflows, see "GM redesigned its engineering workflows around AI agents."