Systems | Development | Analytics | API | Testing

We know how it feels when a critical build gets stuck in a long queue.

Feeling the pressure to test faster and ship cleaner code? You’re not alone. Test automation has become the secret weapon for teams that want speed, accuracy, and zero surprises in production. And the numbers back it up—according to MarketsAndMarkets, the automation testing market is set to grow from $28.1 billion in 2023 to a massive $55.2 billion by 2028. That’s not just growth—it’s a clear sign that the future of QA is fully automated.

In this episode, Derric Gilling sits down with David Biesack, Chief API Officer at Apiture, to discuss building an API-first, customer-centric digital banking platform from the ground up. David shares the origin story of Apiture, a joint venture born from a vision of open banking, and how his team embedded API design and governance into every layer of the product.

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics, leveraging AI to automate insights and empower users to make data-driven decisions.

Open table formats offer enterprises the capabilities of data warehouses and the flexibility of data lakes.

Centralized data allows data teams to dedicate their effort to last-mile analytics and AI challenges.

Quality engineering and assurance efforts, and testing as a part of those, have never been more critical than they are today.

First published on platformengineering.com. Application modernization has become a critical initiative for organizations looking to remain competitive in today’s rapidly evolving digital landscape. As businesses embrace cloud computing, microservices and AI-driven automation, modernizing legacy applications is no longer optional. It’s essential for scalability, agility and innovation.

If you’re building AI systems—whether for personalization, fraud detection, or predictive analytics—you already know the brutal truth: your models are only as good as the data you feed them. Enter Countly, an analytics platform that doesn’t just collect user data but transforms it into rocket fuel for AI. This isn’t about explaining what Countly does (AI can do that for you).

ClearML, Latent AI, and Carahsoft recently teamed up to talk about how teams can innovate, adapt, and collaborate in service of their mission goals by utilizing emerging AI technologies. If you couldn’t attend, you’re in luck!