Systems | Development | Analytics | API | Testing

Stop building data connectors from scratch. Start shipping features faster. Your customers want access to more data sources, but your engineering team is already stretched thin. Sound familiar? In this video, we break down how redistributable connectivity drivers can accelerate your product roadmap without adding technical debt. If you're building analytics tools, reporting platforms, visualization apps, or any software that needs to connect to data, this is for you.

Discover how to perform expert-level Pact contract testing reviews in seconds using SmartBear MCP (Model Context Protocol) tools directly in your IDE with GitHub Copilot (or any generative AI that supports MCP)! You’ll learn how to automatically identify and fix common issues in your Pact tests, including: Over-specified test contracts Incorrect HTTP client usage Missing provider states Overuse of matchers Tests not reflecting real API behavior.

In this webinar, Rick Kranz from the AI Marketing Automation Lab, will teach you how to: Determine where your brand already appears in LLMs Show up in LLM answers Optimize content for AI visibility (free tool included) Track AI/LLM traffic in GA4 Monitor AI impact with Airtable + Databox Perfect for SEO specialists, Content teams, SaaS marketers, RevOps & Growth teams, Agency leaders, or anyone who relies on organic visibility.

This 45-minute session dives into how Hevo, Snowflake and Astrato come together to give data engineers a faster, cleaner and far more scalable workflow. With Snowflake Data Superhero Piers Batchelor and Martin Mahler, CEO & Founder of Astrato Analytics leading the discussion, you will see how to cut pipeline friction, reduce refresh delays and deliver near real-time insights without constantly tuning or fighting your stack.

Did you know you can automatically generate complete Pact test suites directly inside your IDE? No more writing boilerplate test code manually! In this video, we show how SmartBear MCP tools work with GitHub Copilot (or any MCP-compatible agent) to automatically create best-practice consumer contract tests tailored to your project.

You can celebrate a record-breaking quarter and still miss the number that matters. If your team still measures success in silos, this one will hit home.

Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows.

TrueTest and Studio are powerful together because TrueTest captures real user flows and automatically generates tests, while Studio provides the platform to run, edit, and maintain them. This combination accelerates test creation and ensures those tests can be fully managed in one place. — Alex Martins, VP of Strategy at Katalon Learn more Follow Katalon for more insights in our series!

Snowflake CEO Sridhar Ramaswamy chats with Amazon Web Services CEO Matt Garman on accelerating AI from pilot to production. Hear how the combination of Snowflake's AI Data Cloud and AWS's secure, global infrastructure and complementary AI services make it easier than ever for customers to make data-driven decisions and transform industries, from life sciences to e-commerce and beyond. Snowflake and AWS can help your entire organization efficiently transform, share and analyze data and with industry-specific solutions to further accelerate your business outcomes.

AI is transformative, but it’s only as good as the data it can access and the means it has to unlock it. Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows. Register your interest and be one of the first to try Qlik’s new agentic AI capabilities.