Systems | Development | Analytics | API | Testing

Preparing for Agentic AI: Top Trends in Data and AI 2026 | Feat. Rory Blundell

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.

ThoughtSpot Sync

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.

ThoughtSpot on Snowflake Interactive Analytics

The phrase “Big Data” may be out of trend, but data volumes keep climbing–and so do expectations. It’s estimated that in 2026, the global volume of data is expected to exceed 221 zettabytes. With AI tools and agents making it easier to consume, the pressure is on to deliver faster, more responsive insights on massive datasets to more users than ever.

5 tips to build a durable career in the age of AI

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” That’s Amara’s Law, a principle coined by futurist Roy Amara. It explains how emerging technologies, like the early internet, are often overhyped at first, followed by a shift toward recognizing their value and integrating them over time. This thinking is a lot like what we’re seeing today with agentic AI.

Making AI Work in Real Teams. Operationalizing AI Explained | Melissa Tondi

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!

API Product Management Guide: 6 Strategies for the Full Lifecycle

As APIs evolve into the strategic connective tissue of digital products and AI, organizations often fail to unlock their value due to a critical misalignment between business goals and technical execution. To transform APIs into genuine growth levers, enterprises must embrace full-lifecycle API product management, prioritizing upfront strategy, robust contract design, and scalable developer experiences over mere endpoint creation.

Everything you need to know about Ruby 4.0

Ruby 4.0 is a major release, launched on Ruby’s 30th anniversary (December 25, 2025) to celebrate three decades of the community, not due to major breaking changes. I was surprised to learn that Ruby doesn’t actually follow semantic versioning! Instead, Matz (Ruby’s creator) increases the major version when changes impress him. This version marks 30 years of Ruby and introduces features to extend the language.

What's the value of not going through an implementation alone?

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!