Systems | Development | Analytics | API | Testing

Automate a manual test once it’s passing and stable, especially if it must be re-run each release or in CI/CD to catch regressions.— Alex Martin, VP of Strategy at Katalon.

When trust collapses, everything else goes with it. Jim Brennan, Chief Product and Technical Officer at GetReal Security, joins The AI Forecast to break down one of the biggest challenges in today’s world: securing digital trust. He and host Paul Muller explore why trust is the backbone of modern business and how advancements like deepfakes, impersonation attacks, and AI-powered deception are shaking that foundation.

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Join us for expert insights on how data is rewriting the rules and driving the future of innovation with Dr. Vanja Josifovski, CEO and Founder of Kumo.AI. In this episode, Dr. Vanja shares his approach to enterprise AI and reveals why a "data-forward organization" is the key to success. He also explains why integration speed is now the new competitive edge, and makes a compelling case for rebuilding outdated systems to achieve a 10x advantage.

This brief demo outlines how DreamFactory automatically inspects the schema of any database API created, enabling a wide range of data mesh activities, such as merging tables and joining data across disparate databases using virtual joins. This significantly reduces development time and ensures data consistency across your entire data landscape.

In this No Code API Tutorial, you’ll learn how to build a secure REST API in less than 5 minutes using DreamFactory — no coding required. This tutorial shows how to instantly generate a database API for your data products or front-end applications, saving you days or even weeks of development time. Here’s what you’ll discover in this step-by-step guide: How to connect to any SQL or NoSQL database instantly.

How do you scale faster without burning out your team or chasing shiny tactics that don’t move the needle? Databox CEO Pete Caputa unveils Predictable Scale — a new methodology for building strategy, focus, and repeatable systems so you can grow with confidence. In this interview, Pete shares his SPEARS framework (Strategize, Plan, Execute, Adjust, Repeat, Scale), how to use data to set smarter goals, and why radical transparency accelerates alignment and results.

We build resilient data infrastructures the world’s innovators rely on. Together, we power what’s possible and create real-world impact through data.

Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.