Redis was the caching layer for the web. Now it's coming for the AI agent stack.
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Sean Michael Kerner
@TechJournalist
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Sean Michael Kerner / aka @TechJournalist from the site that Tesla ran over and then got baked in the backdraft from a SpaceX rocket.
As AI workloads push data center power density and network complexity beyond physical capacity, virtual replicas are becoming the baseline for operational stability.
https://www.networkworld.com/article/4159988/ai-and-digital-twins-reshape-network-and-data-center-management.html
https://www.networkworld.com/article/4159988/ai-and-digital-twins-reshape-network-and-data-center-management.html
Alchemy doesn't turn lead into gold but it does enable enterprises to fine-tune and own custom AI models built directly from their production application workflows.
"Having that data moat is the most valuable currency," Shanea Leven CEO of Empromptu.ai told VentureBeat
The open-source StarlingX distributed cloud platform gains precision timing support in its first major update of 2026.
RAG is not dead it is being enhanced - it's an approach I call the retrieval rebuild
->Why 22% of enterprises have stepped back from RAG — and what Q1 data says about what comes next
https://venturebeat.com/data/the-retrieval-rebuild-why-hybrid-retrieval-intent-tripled-as-enterprise-rag-programs-hit-the-scale-wall
->Why 22% of enterprises have stepped back from RAG — and what Q1 data says about what comes next
https://venturebeat.com/data/the-retrieval-rebuild-why-hybrid-retrieval-intent-tripled-as-enterprise-rag-programs-hit-the-scale-wall
I've been a networking 'guy' for a long time. But the kids out there today..they don't know ...and there is a looming skills gap that could be a real problem (one day). That's a key promise that agentic AI could bring to networking that Auvik is betting on.
"The more we can automate and simplify and help people with auto remediation, the more powerful the platform becomes.”
Despite what some vendors and X/Twitter pundits might claim - RAG is NOT dead. That's not to say that there isn't room for improvement. New research out today from Redis could be huge step forward.
"There's this general notion that when you use semantic search or similar semantic similarity, we get correct intent. That's not necessarily true," Srijith Rajamohan, told me. "A close or high semantic similarity does not actually mean an exact intent."
At Google Cloud Next today, the company made more than 80 data-related announcements organized under a single architectural argument:
"The data architecture has to change now," Andi Gutmans, VP and GM of Data Cloud at Google Cloud, told VentureBeat. "We're moving from human scale to agent scale."
Burned-out security analysts miss threats, take longer to investigate incidents and are more likely to quit. Here's how CISOs can improve the SOC analyst experience.
"RAG works, but it doesn't scale," Michael Bendersky, research director at Databricks, told VentureBeat. "If you want to make your agent even better, and you want to understand why you have declining sales, now you have to help the agent see the tables and look at the sales data. Your RAG pipeline will become incompetent at that task."