search
data analytics
Trends
- 1Palantir Co-Founder Urges Less Judgment Over Deadly Iran School StrikeโPalantir's Co-Founder Wants Us Less Judgmental About Deadly Iran School Strike
Peter Thiel, co-founder of data-analytics firm Palantir, has drawn criticism for saying people should be less judgmental about a deadly strike that hit a school in Iran. His comments, reported by Mother Jones, sparked backlash over the civilian toll of the strike and the ethics of Silicon Valley leaders weighing in on Middle East military actions.
- 2
Columnar.tech has published a piece asking what would happen if Jev โ a reference to William Stanley Jevons, the economist behind Jevons paradox โ had access to Apache Arrow, the open columnar in-memory data format. The post explores how Arrow's efficient data processing changes assumptions about data consumption, drawing engagement from the analytics engineering community.
- 3U.S. Banking Industry Performance Analyzed for Q2โBanking Analytics: U.S. Banking Industry Performance in Q2
The Federal Reserve Bank of St. Louis has published a banking analytics report examining the performance of the U.S. banking industry in the second quarter. The analysis reviews key industry indicators, offering insight into the state of American banks as rising rates and balance-sheet pressures continue to shape the sector's outlook.
- 4
Palantir chief executive Alex Karp has purchased a large tract of forestland in Sweden, drawing attention in both Swedish and international media. The acquisition by the American tech executive, whose company is known for defence and data-analytics work, has prompted discussion about why a Silicon Valley figure is buying rural Swedish woodland and what his plans for the land might be.
- 5Microsoft bets on Fabric for unified data and AIโMicrosoft is pivoting with Fabric toward a unified data and AI platform
Microsoft is positioning Fabric as a single, unified data and AI platform, marking a strategic shift in how enterprises manage analytics and artificial intelligence workloads. The pivot brings data storage, integration, analytics and AI tools together in one product, as businesses increasingly seek end-to-end platforms for building AI applications on their own corporate data.