Systems | Development | Analytics | API | Testing

YAML vs JSON: Which Format Fits OpenAPI Better?

YAML is often the better choice for OpenAPI specifications due to its readability and ease of manual editing. It uses indentation instead of braces and brackets, supports inline comments with #, and handles multi-line text more naturally. This makes YAML easier to maintain and understand, especially for teams collaborating on API documentation. However, JSON has its strengths too. Its strict syntax ensures precision, making it ideal for automated workflows and machine-driven processes where speed matters.

AI Maturity and Adoption Across U.S. States in 2026

AI isn’t something we’re waiting for anymore. It’s already here. Every time you check directions, talk to your phone instead of typing, or unlock your device with your face, AI is doing the work in the background. The same shift is happening inside organizations. Companies and government agencies are using AI to answer questions faster, cut down manual tasks, support their teams, and improve how they serve people. But the real question is, Are U.S.

Preparing for Agentic AI: Top Trends in Data and AI 2026 | Feat. Paul Baier

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.

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.