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How Lenses MCP Brings AI to Kafka | Talk to Your Data with Claude & MCP

In this video, Tun Shwe (@DataSurfer), Head of AI at Lenses.io, takes you on a journey through the Lenses MCP Server - the bridge between AI models and Apache Kafka. Discover how engineers, analysts, and compliance teams can now interact with Kafka using natural language.

Ep 47 | What AI Is Teaching Us About the Next Great Companies with Alex Kantrowitz

The AI era is redefining what it takes to stay on top. Success won’t come from protecting the status quo, but from embracing the “always day one” mindset—where reinvention, adaptability, and bold experimentation drive progress. Drawing on Big Tech’s playbook, Alex Kantrowitz, former journalist and now founder of Big Technology, joins host Paul Muller on The AI Forecast to discuss why continuous reinvention is the key to thriving in this new landscape, and how leaders can navigate AI’s impact on business, culture, and society.

Snowflake Intelligence: All Your Knowledge. One Trusted Enterprise Agent.

Snowflake Intelligence is an enterprise intelligence agent that puts insights at every user’s fingertips. It enables every employee to answer questions, no matter how simple or complex, in natural language. They can move beyond the “what” to uncover the critical “why,” fostering a new data culture where every employee can derive deep insights and take timely action for faster outcomes. Gain insights from structured and unstructured data with Snowflake Intelligence via this quickstart.

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.

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.