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Most enterprise AI projects stall when teams try to move experiments into production—where costs, governance, data security, and scale all get real. In this demo, see how Cloudera AI Inference helps turn foundation models into secure, governed, production-ready AI services. You’ll learn how to: Chapters: Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.

Discover what’s possible with AgentSpot as Sheila showcases an AI agent ("Leasey") built to automate lease accounting. From analyzing contracts to creating calculations, schedules, and audit documentation, this workflow shows how teams can use agents to streamline everyday business processes. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.

Assaf Henkin, Co-Founder and CEO of Jedify, joins the Snowflake Summit 2026 News Desk to discuss how enterprises can build AI applications that truly understand their business context. Drawing from 15 years of experience building open source intelligence platforms, Henkin shares insights on balancing innovation with operations, staying true to founding principles while adapting to market changes, and how Snowflake's AI Data Cloud is enabling Jedify to reach new heights in the agentic AI era. Learn what's driving enterprise AI adoption and what founders should focus on for the back half of 2026.

In this video, Mike Tarallo shows you a simple Qlik Automate workflow with defined inputs, then uses the Automate Agent in Qlik Answers to pass those inputs directly into the automation. This demonstrates how users can move beyond simply asking questions and begin taking action based on their data—all from a conversational experience. You’ll see how Qlik Answers and Qlik Automate work together to turn natural-language requests into real, automated workflows with minimal setup.

Watch deep-dive presentations and live demos from industry experts as they unpack next-generation data frameworks built from the ground up for multimodal AI, autonomous data agents, and cross-cloud architectures. Key Technical Highlights Inside: AI Lakehouse Meetup - Bay Area 15th July 2026 Cloudera SanJose Office A must-watch technical guide for data engineers, platform architects, and MLOps teams!

How AI is transforming clinical trial operations—without compromising critical data. Biopharmaceutical companies are routinely slowed down by siloed datasets and complex workflows. While artificial intelligence promises to accelerate drug development, clear up decision-making opacities, and build dependencies, handling highly sensitive medical data requires ironclad protection.

Check out what’s new in ThoughtSpot’s latest release! Spotter User-Level Personalization: Spotter now builds memory from your individual conversations, remembering your personal preferences, so it adapts to how you work and you spend less time repeating yourself. SpotterViz for Embedded Liveboards: Embed SpotterViz directly into your embedded smart dashboards and empower your users to build, edit, and explore decision-ready dashboards in minutes.