MLOps, model risk, GenAI in production — these are the challenges we help financial institutions solve every day. We're bringing that experience to the AI in Finance Summit in New York, April 15–16. See you there: https://
hubs.ly/Q049BGbL0
ENTERPRISE AI
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MLOps and GenAI Production Challenges in Financial Services
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From Agent-1 to Superintelligence: AI 2027 Scenario Implications
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications linkedin.com/pulse/from-agen… via @ingliguori
→ View original post on X — @ingliguori, 2026-04-03 17:25 UTC
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Harrison Chase and MongoDB CEO discuss enterprise agents at Interrupt
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Join @hwchase17 and Chirantan "CJ" Desai, CEO of @MongoDB for a fireside chat at Interrupt — May 13-14 in San Francisco. MongoDB is the company behind one of the most widely used databases for modern applications — used by thousands of teams to power everything from real-time analytics to AI-native workloads. At Interrupt, Harrison and CJ will chat about how teams are building agents at the world's largest enterprises, and what's next for the space. Get your tickets: interrupt.langchain.com/
→ View original post on X — @langchain, 2026-04-03 16:47 UTC
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Dark Factory Pattern: The Next Leap in AI Software Engineering
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I asked @simonw what the next leap in AI software engineering is likely to be.
— Lenny Rachitsky (@lennysan) 3 avril 2026
He explained the "dark factory" pattern where teams don't write any code or even look at their code. https://t.co/LWQPeaxml9 pic.twitter.com/2SmKC8bH4iI asked @simonw what the next leap in AI software engineering is likely to be. He explained the "dark factory" pattern where teams don't write any code or even look at their code.
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Cohere and Microsoft discuss enterprise AI acceleration on Model Mondays
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How can enterprises accelerate decision-making and improve efficiency? We're joining @Microsoft's Model Mondays on April 6th to discuss how AI can help you: 🌎 Drive real-world enterprise value 💡 Surface precise, verifiable insights 📌 Use Microsoft Azure and Cohere enterprise models to accelerate your AI journey
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MEDVi: $1.8B with 2 Employees Thanks to AI
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Matthew Gallagher built MEDVi into a $1.8B company generating more than $400M in revenue with just two employees. It is one of the clearest examples yet of how AI can dramatically compress the headcount needed to build at scale. [Translated from EN to English]
→ View original post on X — @taryl_ogle, 2026-04-03 16:09 UTC
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AI Models Need Factory-Ready Production Infrastructure
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AI models need a factory ready to run them. #sponsored by Siemens.
— Lucian Fogoros (@fogoros) 3 avril 2026
Software-defined automation provides the necessary runtime support and model management to move AI from pilot projects to full-scale production. Intelligent automation is the new standard for the adaptive shop… pic.twitter.com/NG9CECLrJTAI models need a factory ready to run them. #sponsored by Siemens.
Software-defined automation provides the necessary runtime support and model management to move AI from pilot projects to full-scale production. Intelligent automation is the new standard for the adaptive shop -
Three Industrial Architectures for Operational Success
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Industrial operations rely on three distinct architectures to succeed. Most teams start with network architecture for security and connectivity. They move to application architecture to manage functions and time scales. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/7qMJD27HLe
— Lucian Fogoros (@fogoros) 3 avril 2026Industrial operations rely on three distinct architectures to succeed. Most teams start with network architecture for security and connectivity. They move to application architecture to manage functions and time scales. Partner content with @HighbyteInc
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Cybersecurity’s Real Challenge: Decision Intelligence Over Tools
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Cybersecurity isn’t a tooling problem anymore. It’s a decision problem. AI-driven threats are moving faster than human response models. Most orgs still rely on:
• alerts
• dashboards
• manual decisions That’s the real vulnerability. The shift?
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AI Coding Agents Reach Inflection Point in November 2025
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My biggest takeaways from @simonw
: 1. November 2025 was an inflection point for AI coding. GPT 5.1 and Claude Opus 4.5 crossed a threshold where coding agents went from “mostly works” to “almost always does what you want it to do.” Software engineers who tinkered over the