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Data everywhere, alignment nowhere: What dashboards are getting wrong, and why you need a data product manager
In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.Read More...

Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
Sakana AI's new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.Read More...

Dust hits $6M ARR helping enterprises build AI agents that actually do stuff instead of just talking
Dust AI startup hits $6M revenue building enterprise agents that automate workflows and take real actions across business systems using Anthropic's Claude models and MCP protocol.Read More...

HOLY SMOKES! A new, 200% faster DeepSeek R1-0528 variant appears from German lab TNG Technology Consulting GmbH
This gain is made possible by TNG’s Assembly-of-Experts (AoE) method — a technique for building LLMs by selectively merging the weight tensorsRead More...

Confidence in agentic AI: Why eval infrastructure must come first
At VentureBeat’s Transform 2025, tech leaders gathered to talk about how they're transforming their business with agents.Read More...

Transform 2025: Why observability is critical for AI agent ecosystems
New Relic's Ashan Willy talked about how they're instrumenting agentic systems for measurable ROI to maximize agentic AI.Read More...

Bright Data beat Elon Musk and Meta in court — now its $100M AI platform is taking on Big Tech
Bright Data beat Elon Musk's X and Meta in court, then launched $100M AI infrastructure suite with Deep Lookup and Browser.ai to challenge Big Tech data monopolies.Read More...

Capital One builds agentic AI to supercharge auto sales
Capital One's head of AI foundations explained at VB Transform on how the bank patterned its AI agents after itself.Read More...

Enterprise giants Atlassian, Intuit, and AWS are planning for a world where agents call the APIs
In the Women in AI breakfast, technologists from Atlassian, Intuit and AWS offered advice based on first-hand experience with AI agents.Read More...

From 30 days to 1: Chevron’s cloud migration ROI in real numbers
Chevron's agentic architectures must be able to process petabytes of data in the cloud and at the edge to support its critical operations.Read More...