Industrial vibration monitoring is evolving fast. Seeing similar patterns? @IIoT_World @CRudinschi @agentic_factory @KirkDBorne @EvanKirstel
ENTERPRISE AI
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Bing releases Harrier, new state-of-the-art embedding model
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Another SOTA model drop! This time from the @Bing team: meet Harrier, a new open-source embedding model with state-of-the-art performance and the #1 spot on the industry standard multilingual MTEB-v2 benchmark. Jordi Ribas (@JordiRib1) I’m pleased to share that our search team has open sourced an embedding model called Harrier that is currently ranking #1 on the multilingual MTEB-v2 benchmark leaderboard. Harrier delivers SOTA performance on retrieval quality, semantic matching, and contextual analysis across workloads, supporting more than 100 languages and handles long inputs up to 32K. It is built for the next generation semantic search for Bing and our web grounding (RAG) service for AI agents, which already powers nearly every major AI chatbot today. As you can see in the leadership board, our Harrier model is currently ahead of other excellent models based on Gemini, Gemma, Llama, Qwen, and more. I’m grateful for the hard work of our team to get to this top ranking, and I’m excited to see all the healthy competition in the space, which should ultimately lead to more innovations that will benefit everyone. Learn more: msft.it/6019QNB0b — https://nitter.net/JordiRib1/status/2041550352739164404#m
→ View original post on X — @clementdelangue, 2026-04-07 16:22 UTC
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LangSmith: Debugging and Optimizing AI Agents in Production
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LangSmith 🤝Fix your agents
— Harrison Chase (@hwchase17) 7 avril 2026
You'll see our billboards around SF and NYC over the next few months.
The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and… pic.twitter.com/IRKrj7J1y7LangSmith 🤝Fix your agents You'll see our billboards around SF and NYC over the next few months. The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow. If you spot one around, send it our way!
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Salesforce Uses Slackbot to Solve SaaS Crisis
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Salesforce is looking to Slackbot to help it solve the SaaSPocalypse puzzle go.theregister.com/feed/www.… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-07 15:49 UTC
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Business Value of Agentic AI: Three Key Pillars for Scaling
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What's The #Business Value Of #AgenticAI? Three Key Pillars For Scaling #AIAgents by Preetpal Singh @Forbes Learn more: buff.ly/d3CwrxT #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-07 15:23 UTC
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The societal anxiety and enterprise shift in AI adoption
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No one is going to want to give up their Claude (or ChatGPT or Gemini). But they will also be extremely nervous about the implications of AI overall. To that extent the "pivot to enterprise" is going to result in a lot more anxiety than when the focus was on consumer assistants.
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AI-RAN: Artificial Intelligence Built Into Mobile Networks
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What is AI-RAN? It’s when AI is built directly into the mobile network—not just running in the cloud. That means faster decisions, lower latency, and smarter systems. I explain it simply here: linkedin.com/pulse/how-netwo… #MWC26 @SoftBank @SoftBank_RandD @ericsson @techiemats
→ View original post on X — @haroldsinnott, 2026-04-07 15:11 UTC
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AI Transforms from Chatbot to Action Executor
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The use cases are getting out of hand: – Full SEO audits from a single prompt
– Tracking competitor pricing automatically
– Managing CRM pipelines across HubSpot and Salesforce
– Unsubscribing from marketing emails in bulk It's not a chatbot. It executes. Big difference. -
AI that remembers your workflows across 1000+ apps
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Here's the part that actually got me: It works across Gmail, Slack, Google Sheets, GitHub, Jira — 1,000+ apps. But the real thing is it remembers your workflows. "Do what you did last Tuesday for the Q3 report." And it just… does it. No re-prompting. No setup from scratch.
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PokeeClaw: Enterprise AI Agent Platform That Actually Does the Work
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PokeeClaw is a different beast. Enterprise-grade AI agent platform. 1,000+ integrations. RL-powered tool selection. Secure sandbox. I test AI agents constantly for this newsletter. Most are demos. This one just… did the work.