David Totten

The more autonomous AI becomes, the more binaries it will create. The more binaries created, the more security is required at the gate, and the more governance is needed before deployment to production. 🐸 https://bit.ly/4seEMPq #JFrog #LiquidSw

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We've spent the past two years working closely with Dealhub to refine our GTM motion, always iterating and learning along the way. This guide on semantic CPQ architecture really speaks to why modern revenue systems need to go beyond legacy tooling and focus on unified data, decision velocity, and intelligent execution. Worth a read if you’re thinking about how to scale your quote-to-revenue process more strategically.

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𝗜𝗕𝗠 𝗕𝗼𝗯 𝗴𝗼𝗲𝘀 𝗚𝗔 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄. 🚀 As a developer partner, Bob's planned general release on 24 March couldn't be better. Landing right after IBM $11 billion acquisition of Confluent last week. Real-time data streaming, governed across hybrid environments, now fully part of the IBM stack. 𝐇𝐨𝐰 𝐜𝐚𝐧 𝐭𝐞𝐚𝐦𝐬 𝐛𝐮𝐢𝐥𝐝 𝐟𝐚𝐬𝐭𝐞𝐫 𝐨𝐧 𝐚𝐧 𝐞𝐯𝐞𝐧𝐭-𝐝𝐫𝐢𝐯𝐞𝐧, 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬? Agents acting on what's happening right now. Not a stale snapshot from hours ago. • 𝐂𝐨𝐧𝐟𝐥𝐮𝐞𝐧𝐭: Real-time event steaming across hybrid environments, governed and low-latency • 𝐰𝐚𝐭𝐬𝐨𝐧𝐱 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐞: Drives intelligent autonomous agent decisions in real-time • 𝐈𝐁𝐌 𝐁𝐨𝐛: Accelerates the build so teams ship faster and spend less time wiring systems together What is Bob? 👉 https://ibm.biz/BdpPym Confluent + wxO + Bob 👉 https://ibm.biz/BdpPyv #IBM #IBMBob #Bob #EnterpriseAI #AgenticAI #AI #watsonx

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🚀 🚀 🚀 Being back from DAIS 2025, one thing became clear: beyond the fireworks, Databricks laid out a unified vision – not just more features, but a real shift in trajectory. ✅ Foundation reinforced: Lakebase, Lakeflow, and Spark 4.0 push the Lakehouse from analytics into operational and real-time. Open, fast, and ready. ✅ AI for everyone: Agent Bricks makes AI agents low-code. MLflow 3.0 brings observability to GenAI. And Genie turns business users into data explorers 🧞 ✅ Governance built-in: With Metrics and ABAC in Unity Catalog, trust is now a platform-native feature – not a bolt-on. ✅ Access unlocked: Lakebridge simplifies migrations. The new Free Edition opens the door for learners and late adopters 🚀 Do you want a 30 min Summary Video? Her we go: https://lnkd.in/eVAfRdV2 The message? Databricks isn’t just adding tools – it’s building the place where data, AI, and people meet. And that’s where the real momentum starts. #dataintelligence #lakehouse #genai #datastrategy #databricks #aiinnovation #dais2025 #dataplatform

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AI in sales isn’t just hype anymore — it’s driving real results. From smarter targeting to more accurate forecasts, AI is helping sales teams focus on what matters most: building stronger customer relationships. Check out SugarCRM’s blog on how AI is reshaping the sales process👇

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We've been exploring how AI can systematically scale best practices across organizations, and a key insight keeps emerging: success requires accurate, expert knowledge that's optimized for AI agents and delivered at the right moment in the SDLC. Giedrius is my go to API guru and has years of experience architecting APIs on AWS. He has captured his deep expertise in an example that goes beyond simple markdown files and steering docs. His solution builds a vectorised knowledge base of best practices, exposed through an MCP server, paired with a KIRO Power that intelligently guides the coding agents to access the right content at the right time. 🔗 Check out his implementation: https://lnkd.in/gHmc7Jz5 While his example focuses on API development, the architecture adapts to any domain. As we integrate context across visual design, architecture, development, deployments, security, and compliance, we're seeing central platform teams leverage these patterns to improve both efficiency and accuracy in developer tooling. The future of developer experience isn't just about better tools. It's about embedding institutional knowledge directly into the development workflow. What innovative approaches are you seeing for scaling best practices in your organization? #AI #DeveloperExperience #AWS #KIRO #BestPractices #PlatformEngineering

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Okta is using dbt to empower analysts and scale self-service across the business 🚀 With dbt Canvas, more teams can now collaborate on transformations with a simple drag-and-drop interface. A great example of how analytics engineering is unlocking faster, trusted decisions. Learn more about how dbt Labs empowers analysts: getdbt.com/product/analyst

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Manual work slows teams down. App Builder lets you build and refine custom apps in minutes, no code needed. Use plain language and AI assistance to connect systems, cut repetitive tasks, and boost productivity — all inside Zendesk. Available on Professional plans and above. Build, test, and deploy instantly: https://zdsk.co/46UqfRg

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Yesterday, the IBM acquisition of Confluent officially closed...and if the Red Hat acquisition taught us anything, it’s that $11B valuations usually lead to "Cloud Pak" bundles and gated source code. As Jeff Mery breaks down in his latest deep dive, the "IBM Cycle" often trades community-driven innovation for high-margin proprietary features and aggressive audits. If you’re tired of the "Streaming Tax" and want to see how 100% upstream, diskless Kafka can slash your infra costs by 97% before your roadmap gets "IBM-ified," this is the one article you need to read today. Read the full analysis and see the breakdown here: https://lnkd.in/dZ9bBt5V

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