Systems | Development | Analytics | API | Testing

Your CEO asks: "What drove growth in 2025—and where should we invest next year?" Spotter has you covered. In the fast-paced world of data analytics, the biggest pain point is the "wait time" between asking a question and getting a real answer. Traditionally, a request like this would trigger weeks of manual data wrangling and dashboard backlogs. Spotter doesn't just answer the question, it delivers thoughtful analysis with a roadmap of what to do next. Watch how this agentic teammate delivers.

AI agents are only as good as the data they can access. In this video, we explore the Model Context Protocol (MCP) and how it creates a bridge between AI models and Apache Kafka. Learn how MCP allows AI agents to securely produce, consume, and manage Kafka topics in real-time—transforming your event streams into actionable context for LLMs.

In this interview, Stefan Williams, VP of Corporate Development, shares Snowflake Ventures’ top priorities and why the pace of innovation across the AI Data Cloud matters for startups. Learn how native platform capabilities, including Cortex Search, Cortex Analyst, and the Cortex REST API, help reduce complexity and unlock faster innovation. The Snowflake ecosystem is where startups gain secure, trusted access to data and the opportunity to work with some of the world’s largest customers.

Learn how business leaders use Snowflake Intelligence to eliminate operational lag and turn fragmented data into confident decisions at enterprise speed. Snowflake chief revenue officer Mike Gannon shows how a single intelligent agent delivers trusted, multi modal analysis across emails, documents, spreadsheets, images, video, and more. See how Snowflake Intelligence uncovers the why behind critical moments, accelerates revenue and pipeline insight, and keeps every query secure and governed within your existing framework.

Learn how geographic data science helps cities understand and address urban inequality, sustainability, and resilience.

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In 2026, the gap between companies "testing" AI and companies "running" on AI has become a chasm. In this segment of The Data Chief, Paul Baier, CEO and Co-Founder of @GAIInsights, explains why the honeymoon phase of Generative AI is over and the era of Agentic AI has officially arrived. Paul breaks down how leading enterprises are pulling ahead by moving beyond simple chatbots to autonomous agents that can plan, reason, and execute complex workflows. If you want to know how to reshape your enterprise operating model to stay competitive, this is the field guide you’ve been looking for.