The tech industry's transformation continues to accelerate, with this week's developments highlighting both promise and concern.
The tech industry's push for sovereignty and control is reshaping both global partnerships and market dynamics this week.
The AI vendor market is noisy and crowded. Here are the questions that separate real solutions from polished demos.
The tech industry's old guard is showing signs of strain this week, with notable pullbacks from two of its most prominent players
AI tools help junior employees produce senior-looking work. The gap between looking capable and being capable is where organizations get hurt.
The tech world continues to grapple with fundamental questions about AI's practical value and economic impact, even as geopolitical tensions reshape the digital landscape.
Why the Best Engineers Are Still Asking Better Questions
Reality checks for executives navigating AI, tech, and the gap between what's promised and what's actually happening.
Cloud migrations, CDO hiring sprees, and AI pilots all followed the same pattern: unanimous agreement followed by expensive reversals. When everyone agrees on a technology direction, that's the moment to ask harder questions.
Most analytics projects fail because organizations build dashboards before defining what decisions they'd make differently. The technology works fine. The decision framework doesn't exist.
MilkyWayPlanner.com simplifies night sky photography planning with free annual Milky Way calendars, moon rise and set tracking, and multi-stop trip planning for any location worldwide.
A polished sales team doesn't mean a competent delivery team. Here's how to tell the difference before you sign.
Consolidation moves in media and enterprise tech signal the established giants are repositioning for 2025. Meanwhile, courts and regulators on two continents are forcing Apple and Google to loosen their grip on app ecosystems.
My Milky Way planning process includes picking dates months ahead, to making go/no-go decisions on shoot day.
Technical teams know what AI can do. Operations teams know what problems cost money. They're rarely in the same conversation
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