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This demonstration shall suggest those baby steps that should encourage most of us (the testers) to inculcate the habit of exploring* GenAI and LLMs. The exploration shall help understand why, what, where, when and how we should use these rapidly moving technologies to bring efficiency and better thinking in our day-to-day testing work.

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.

As we move toward a future of autonomous agents, the biggest hurdle isn't the AI's intelligence—it’s the governance. In this segment of The Data Chief, Rory Blundell, CEO of @Graviteesource , explores the critical infrastructure needed to move agents from "experimental" to "enterprise-grade." Rory explains how the agentic era is fundamentally redefining API integration and why many organizations are hitting a "maturity wall." Learn how to build the security frameworks and management layers necessary to give your agents the power to act without compromising your brand’s trust or security.

Stop hopping between tabs and bring your data insights directly into the tools your team uses every day. In this video, we explore ThoughtSpot Sync, a powerful feature that allows you to push live visualizations and data snapshots directly to Slack, Microsoft Teams, Google Sheets, and more. Whether you need to alert a team to a specific KPI or share a detailed CSV for further analysis, ThoughtSpot Sync automates the delivery of insights so your colleagues never miss a beat—even if they haven't opened ThoughtSpot.

Let's talk about the real-world journey of operationalizing AI—what it looks like behind the scenes when you’re scaling solutions, building support systems, and doing it all with a lean team. There are plenty of brilliant AI experts—folks doing deep work, research, experimentation, and implementation. This session complements and focuses on how to operationalize, centralize and scale your team, organization and company!

Getting support means reaching value and impact in days instead of weeks or months. Professional services bring proven expertise that accelerates adoption and makes teams the heroes, not the ones struggling to figure everything out alone. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

Andy Steinmann of MarketAxess shares how access to Apache Kafka experts—not just software—became the turning point in MarketAxess’ shift to Confluent Cloud.

You’ve moved your data to Google Cloud. Now it is time to make sure it’s accurate, secure, and cost effective. This video concludes our migration series by focusing on the critical steps following data transfer from Databricks, Teradata, Snowflake, Cloudera and many other platforms. You’ve moved your data to Google Cloud. Now it is time to make sure it’s accurate, secure, and cost effective. This video concludes our migration series by focusing on the critical steps following data transfer from Databricks, Teradata, Snowflake, Cloudera and many other platforms.

AI tools are getting smarter, and many of them now have access to more than you realize. From test scripts to config files to internal APIs, what starts as "just a helper" can become a hidden risk. In this AMA, Harinee will share where things go wrong when tools are trusted too quickly. We’ll look at real examples, permission pitfalls, and ways to keep your systems safer. If you’re using AI in testing or automation, this session will help you ask better questions. Bring your curiosity and your concerns. Let’s talk about what your tools can do, and what they shouldn't.