The Future of AI in the Enterprise

As AI continues to rise in importance across all industries, the cost of implementation, readily available access to cloud computing, and practical business use cases make AI-powered offerings a competitive advantage for product managers, engineering, and data leaders. However, AI isn’t without its fair share of risks and challenges.

Build vs. Buy: Why Embedded Analytics is the Strategic Choice for Modern Data Leaders

For today’s CTOs and CIOs, the pressure to deliver actionable data insights within your products has never been higher. However, a critical dilemma often stalls your progress toward the business intelligence tools you need for the task: Should your engineering team build a bespoke analytics engine from scratch, or should you integrate a professional embedded solution?

Data and AI Trends 2026: Predictions for Agentic AI Production

Agentic AI is moving quickly from experiments to real work. In 2026, it shows up inside the workflows that drive outcomes: decisions, operations, and accountability. In the season 7 premiere of the Data Chief podcast, host Cindi Howson sat down with three leaders who work at the intersection of AI ambition and enterprise execution: Paul Baier (GAI Insights), Jennifer Belissent (Snowflake), and Rory Blundell (Gravitee).

From Raw Data to Strategy #OnTheSpot in Under 3 Minutes

"I’ve worked in the analytics industry for 25 years... this thing makes me as powerful as any analyst I’ve ever met." When ThoughtSpot’s Tony Hammond handed a raw dataset to Spotter, our agentic AI analyst, he wasn't just running a demo—he was witnessing a with a complete transformation of the analytics workflow.

A New Way to Run Pipeline Analysis #OnTheSpot

Jeffry Cape, our Senior GTM Enablement Manager, asked Spotter: "Look at our early stage pipeline generation performance from the dates of Shark Week in November and share what some of the best practices are". He wasn’t checking campaign stats—he was rewriting his daily workflow. A dashboard might tell you meetings are “up.” Spotter went further—running a hands-free deep dive on our global Shark Week program and surfacing what actually moves the needle on pipeline progression.

Snowflake Build London Keynote

Tune into the BUILD London Keynote. Hear what’s new from Snowflake - Shared Workspaces and the GA release of Cortex Code to Snowflake Postgres, semantic view autopilot, and interactive workloads for low-latency analytics. See demos across Snowflake ML, including notebooks in Workspaces, model registry, and online inference, plus how Cortex Agents API and Snowflake Intelligence help teams build trusted agent apps. The keynote also covers Snowflake’s partnership with OpenAI and why governance stays central as AI moves from answers to action.

Unifying Snowflake & Apache Iceberg in Logi Symphony via Simba's ODBC Driver

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.