Shardul Desai

Our own EVP, Chief Scientist & Head of Enterprise AI Prem Natarajan recently spoke to TechTarget about Capital One’s partnership with the National Science Foundation (NSF), which will help launch five new National AI Research Institutes to drive breakthroughs in high-impact areas across society like material and computational sciences, economics, and mental health. https://bit.ly/46fLI5I

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Data mesh or Data Fabric- Data mesh - a decentralized, domain-driven approach to data management. Data ownership is distributed across teams. Each team manages its own data products - they take ownership, maintain quality and manage costs. 💠better for larger organizations 💠 better for domain-specific/specialized teams 💠 promotes innovation within teams at the rate they are comfortable with 💠requires mature organizational technology (software and data) practices Data Fabric - centralized architecture. The common data team manages the data environment. Centralized governance and control over data.  💠Faster in terms of implementation  💠Can be calibrated based on the technology maturity of the organization  💠Promotes standardization across the organization Many organizations use a mix of both to get the best of both worlds. This hybrid approach is becoming common, especially in industries like finance, where both flexibility and governance are needed. #DataEngineering #DataAnalysis #Architecture #Fabric #DataMesh

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🚀 Ready to elevate your AI/ML strategy? CData's Jerod Johnson joins industry experts to explore how data engineering can unlock the full power of intelligent applications. Learn how to reduce latency, scale pipelines, and enable real-time decision-making. 🎥 Watch the on-demand webinar hosted by Database Trends & Applications now: https://bit.ly/4esNOTg #DataEngineering #AI #ML #Analytics #RealTimeData #DataOps #CData #DBTA

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IT industry for many decades have tried to standardize technology and business interactions, these seems to be a very major step in standardization for data interchange for AI. Everyday standard from the past, have not matured to level to reduce integration capabilities and increase interoperability. Hopefully the ecosystem comes together for making this successful. #IndustryStandard #OpenSemanticInterchange #AI

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AI Revolutionizes ITeS Industry! The ITeS and BPM sectors aren't dying; they're being reborn through AI. We're moving from FTE models to outcome-based AI, where agentic AI is the new workforce. This isn't just automation; it's strategic innovation driving the next wave of growth. #ITeS #AIRevolution

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Snowflake: The New Era of Data Discovery & Observability ​The old way of finding and trusting data—waiting for a BI expert or a data engineer—is officially dead. In 2026, the trend has shifted toward Self-Service Discovery and Automated Observability, with Snowflake leading the charge through its Horizon Catalog and Cortex AI. ​Here is how Snowflake is turning every end user into a data detective: ​1. Data Discovery via Natural Language ​Gone are the days of hunting through messy spreadsheets. With Snowflake Intelligence and Cortex Search, end users can now: ​Ask in Plain English: "Where is the customer churn data for Q4?" ​AI-Powered Descriptions: Cortex automatically generates human-readable descriptions for complex tables, so you actually know what "TABLE_A" contains before you click it. ​Universal Search: A single search bar that finds data, AI models, and even dashboards across your entire organization. ​2. Proactive Data Observability : ​Discovery is useless if the data is broken. Snowflake now provides "Out-of-the-box" observability via Snowflake Trail: ​Data Freshness: Automatic alerts if a dashboard isn't updated on time. ​Anomaly Detection: If a sales metric usually fluctuates by 5% but suddenly drops by 50%, Snowflake’s ML-driven alerts flag it before a human even sees the report. ​Data Lineage: Users can see exactly where their data came from (the "Source of Truth") through visual dependency graphs. ​Why This Matters for End Users ​No Technical Barrier: You don't need SQL; you just need to ask a question. ​Unwavering Trust: When an AI agent gives you an answer, you can see the the lineage to verify it's not a hallucination. ​Faster Action: Reducing "Time-to-Insight" from days to seconds. ​#AIAgents ​#AgenticAI ​#DataObservability ​#DataDiscovery ​#AutonomousAgents #Snowflake #SnowflakeAI

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Our own EVP, Chief Scientist & Head of Enterprise AI Prem Natarajan recently spoke to TechTarget about Capital One’s partnership with the National Science Foundation (NSF), which will help launch five new National AI Research Institutes to drive breakthroughs in high-impact areas across society like material and computational sciences, economics, and mental health. https://bit.ly/4grWY3m

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