Snowflake Intelligence + ThoughtSpot

Snowflake Intelligence and ThoughtSpot are more than complementary tools—they complete the picture for AI-powered analytics and BI that serves everyone everywhere, from data scientists to business executives. Together, they turn data into decisions through one connected experience that works the way people do: intuitive, secure, and fast. No silos, no copies—just a single source of truth your entire business can trust.

Unlocking Enterprise AI: How Qlik and Snowflake Intelligence Empower Data-Driven Decisions

The enterprise AI landscape is transforming rapidly. On November 4th, Snowflake Intelligence—a breakthrough agentic AI platform built on the Cortex AI suite—ushers in a new era of business insights. With support for natural language querying (NLQ) and generation (NLG), organizations can interact with their data conversationally, unearthing real-time intelligence directly from complex, multimodal sources.

Stop Asking "What Happened" - Start Discovering Why with Spotter

Stop asking "What happened" and start asking "Why" with Spotter! When a critical metric spikes or dips, simply knowing what changed is just the beginning. With Spotter, you can instantly investigate the metric by asking natural language questions like, "Why did this happen?" Spotter automatically analyzes every possible cause and delivers a complete root cause analysis in seconds. Uncover the drivers behind key metric changes instantly, giving you the power to understand and act fast.

The Shift to Consumption-Based Infrastructure: Hitachi Vantara Named a Challenger in 2025 Gartner Magic Quadrant

We’re proud to announce that Hitachi Vantara has been recognized as a Challenger in the inaugural 2025 Gartner Magic Quadrant for Infrastructure Platform Consumption Services (IPCS).

LLM Observability Tools in 2025

1. Organizations have moved beyond pilots and are embedding LLMs into production workflows across customer support, finance, security, and software delivery. 2. LLM observability mitigates risks like hallucinations, bias, compliance breaches, and runaway costs. 3. LLM observability requires prompt/response tracking, hallucination detection, drift monitoring, RAG pipeline visibility, and long-term context tracing. 4.

Context Is the New Code: Inside Keboola's Vision for Agent-Powered Data Workflows

At this year’s Big Data London, Keboola CEO Pavel Doležal sat down with data expert Christina Stathopoulos on EM360Tech’s Don't Panic, It’s Just Data podcast to explore what’s next in enterprise data automation. The conversation centered on a quiet but powerful shift in how AI, particularly large language models (LLMs), is changing the way organizations interact with their data platforms - not just by querying them, but by acting on them.