LangChain Community Spotlight: Agentic Company Researcher 🔍📊 An open-source multi-agent system automating company research with 8 specialized AI agents—ideal for LangGraph's node-based orchestration with parallel and sequential execution. Try the live demo or explore the repo: https://lnkd.in/e7bMRHKu

Agentic AI doesn't just automate tasks. It transforms how research-intensive organizations operate. From accelerating discovery to freeing scientists from routine orchestration, the benefits extend across efficiency, scalability, and adaptability—but they all depend on one thing: reliable access to multimodal data. Discover the key benefits of agentic AI 👇 https://hubs.la/Q048Fzmt0

I’ve been digging into the GasCity AI orchestration platform and working through some of its complexities. If anyone here has experience with it, I’d love to compare notes — I could really benefit from some guidance and practical insights.

AI sovereignty is a key issue in AI infrastructure. As organizations use AI across various regions and clouds, managing data location and movement is crucial. In his new blog, Floyd Christofferson from Hammerspace dives into how to make data sovereignty functional in a distributed environment. Explore here: https://okt.to/MW2F1H #DataSovereignty #Hammerspace #SovereignAI

Everyone wants bigger models. Robert Cedergren wants better systems. At #GAIA2026, the Founding Head of AI at Bencha will show why small, specialized models can beat expensive general-purpose setups when production constraints like latency, throughput, and reliability are non-negotiable. A very relevant talk for anyone building AI that has to work outside the demo. What’s that - you want a ticket? Conveniently, we have a link for that: https://lnkd.in/dquKK7Rr

In this session of Infovista with VMO2, the discussion gets straight to the point: why AI in telecom often struggles to deliver real impact. It comes down to one thing: context. The session breaks down what’s needed to move beyond pilots: clear outcomes, the right KPIs, and data that actually makes sense. If you’re working with AI in networks, this is a practical, no-nonsense discussion. Watch the full session here:https://lnkd.in/gtjD8Aya

In this session of Infovista with VMO2, the discussion gets straight to the point: why AI in telecom often struggles to deliver real impact. It comes down to one thing: context. The session breaks down what’s needed to move beyond pilots: clear outcomes, the right KPIs, and data that actually makes sense. If you’re working with AI in networks, this is a practical, no-nonsense discussion. Watch the full session here:https://lnkd.in/dHFGxcMP

In this session of Infovista with VMO2, the discussion gets straight to the point: why AI in telecom often struggles to deliver real impact. It comes down to one thing: context. The session breaks down what’s needed to move beyond pilots: clear outcomes, the right KPIs, and data that actually makes sense. If you’re working with AI in networks, this is a practical, no-nonsense discussion. Watch the full session here:https://lnkd.in/dnpi-TdH

In this session of Infovista with VMO2, the discussion gets straight to the point: why AI in telecom often struggles to deliver real impact. It comes down to one thing: context. The session breaks down what’s needed to move beyond pilots: clear outcomes, the right KPIs, and data that actually makes sense. If you’re working with AI in networks, this is a practical, no-nonsense discussion. Watch the full session here:https://lnkd.in/d7nzMg_a

Spent today at the Generative AI Summit. Good energy and conversations about where agents are heading, vector databases, orchestration, the hard infrastructure problems that don’t get enough airtime. But I kept coming back to one thing I saw on the floor. A lot of chatbot builders. Polished products, clearly a lot of work behind them. And I genuinely don’t know what happens to them when OpenAI or Anthropic just ships that functionality natively. Not saying they’re done, some will carve out a niche, find the enterprise angle, own a vertical. But the window is narrowing fast.