AI features need the same reliability as any other release. LD and Snowflake Cortex make that possible by giving teams runtime control over prompts, models, and behavior. The best part? It all lives within their existing data environment. See how it works: https://bit.ly/3WIO8FA
How LD and Snowflake Cortex ensure AI reliability
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We built Softprobe.ai, an AI-native runtime data engine. It captures, replays, and transforms full-stack runtime context — enabling deterministic debugging, faster analytics, and AI-ready data. https://lnkd.in/eqPBfbqd
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"Build me a dashboard from this data." Sounds simple, until you realize your AI Assistant doesn't really 𝘬𝘯𝘰𝘸 your data. It can't see your tables, columns or metrics in Databricks. This is why we built a 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 𝗳𝗼𝗿 𝗨𝗻𝗶𝘁𝘆 𝗖𝗮𝘁𝗮𝗹𝗼𝗴, so your AI Assistant can securely explore your data and understand what's actually available. Now it's not just guessing what you mean by "this data". 𝗜𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗸𝗻𝗼𝘄𝘀. In the demo below we as asked our Assistant for an operations report on NYC Taxi Data. You can see it examines and understands the schema, identifies meaningful metrics (fare analysis, trip patterns, driver efficiency), and builds a bronze→silver→gold DLT pipeline. You still review the code, but you start from something that actually matches your data. Try it yourself: https://lnkd.in/erTSYF37 Full article: https://lnkd.in/eX8dtqgA
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Predicting issues before they happen can be a game-changer. With Gray AI's Warlock™, we introduce Behavioral Signatures—a method that analyzes telemetry patterns to create a unique ‘signature’ for your system. This allows for faster anomaly detection, quicker interventions, and minimized downtime. By identifying potential failures earlier, we’re enhancing productivity, and optimizing operations. Ready to take control of your data center’s future? 🔍 Learn more at https://lnkd.in/gW8PP_tX #AnomalyDetection #AIForBusiness #GrayAI #BehavioralAnalytics #MachineLearning
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Very excited to share - no more digging through dashboards or waiting on reports! With our new #AmplitudeMCP, you can ask AI things like, “What caused the growth surge?” and start investigating right inside Claude, Cursor, or any MCP client. Learn more: https://bit.ly/43wy9Oq
Amplitude MCP
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Why frontend-first for data tooling? Tight feedback loops. Hyperparam runs entirely in the browser and can instantly view very large AI datasets. #DataEngineering
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Stop waiting for reports! If your analytics requires a lot of technical resources, it's the "antithesis of the AI revolution". LegalZoom found the answer: ThoughtSpot gives business users the autonomy to manage KPI's and ownership of their data. We helped Thomas International move from 160 complex dashboards down to just 4 core Liveboards, empowering 80% of their organisation directly. Say goodbye to BI bottlenecks: https://forwrd.it/r/6nZS
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AI performance depends on data you can trust. 🤝 Snowflake Global Head of Financial Services Rinesh Patel says the new Snowflake Intelligence platform helps financial institutions turn governed data into faster, smarter decisions by uniting data strategy and AI strategy under one roof. Watch the full interview on PYMNTS: https://hubs.ly/Q03RPQQC0
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Bandwidth has launched its MCP Server. What does that mean? Interaction with Bandwidth APIs just got easier (no coding required). Using Goose (open source AI agent) this morning to run phone number lookups...
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Multimodal data can be difficult to analyze together. At #SnowflakeBUILD, Senior Developer Advocate James Cha-Earley will show you how Snowflake Cortex AISQL solves this by letting you analyze text, audio, images, and documents, all with SQL. In this hands-on lab, you’ll learn to build a production-grade pipeline to power AI use cases from customer service data: - Multimodal Processing: Use Cortex AISQL functions for transcription, document parsing, classification, and entity extraction to process voice calls, PDFs, chat logs, and support tickets. - Intelligent Workflows: Create pipelines that surface actionable intelligence for both customers and support agents. Register today: https://lnkd.in/gaB-wgcv
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Stop waiting for reports! If your analytics requires a lot of technical resources, it's the "antithesis of the AI revolution". LegalZoom found the answer: ThoughtSpot gives business users the autonomy to manage KPIs and ownership of their data. And the results are huge: Thomas International moved from 160 complex dashboards to just 4 core Liveboards that empower 80% of their business. Say goodbye to BI bottlenecks. Say hello to BI without the BS. 🧹 https://forwrd.it/r/6nfu
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