Systems | Development | Analytics | API | Testing

A TCoE should automate the repeatable, detail-heavy regression checks to remove human error and speed releases, while keeping room for manual testing where judgment matters or ROI is low. Automate execution to free the team to focus on new functionality and high-value scripts, and leave fringe or one-off cases manual so effort pays off. — Parker Reguero, RVP of Sales at Katalon Learn more Follow Katalon for more insights in our series!

Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.

In just 4 minutes and 3 questions, Bitrise Solutions Engineer Ben Boral explains how Xcode 26 Compilation Caching cuts iOS build times and how Bitrise Build Cache makes adoption easy. If you want to learn more, join our live webinar on October 21 to see a full demo and ask questions! Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

Bloated tech spend, data infrastructure a mess, stalled out innovation? You’ve got a data monster. Confluent puts it to work for you with the World’s Data Streaming Platform.

Struggling with integration testing because you need a real Postgres SQL database running? This video walks you through how to use Speedscale's proxymock to easily record and mock a live Postgres connection. You'll see how to: By the end, you'll be able to create realistic database mocks for your testing and development, saving you time and hassle.

Using sensitive user data for analytics, development, or training AI models introduces significant security risks like data breaches and costly PII (Personally Identifiable Information) leakage. These incidents can lead to heavy fines and a critical loss of customer trust. Watch this demo to see how the Kong AI Gateway automatically finds and sanitizes PII in real-time before requests ever reach your upstream services or Large Language Models (LLMs).

Transform messy JSON into a powerful AI recommendation engine, all within BigQuery. This demo showcases a low code workflow, using Data Prep's visual tools to clean raw data, BQML to generate Gemini powered vector embeddings, and a simple SQL query to find similar items. It's a look at how Google Cloud lets data analysts build end-to-end AI pipelines without complex ETL scripts. The entire project is open-source. Build it yourself!

Don’t just get answers—get a partner in your analysis. This demo shows how our AI-powered platform helps you with supply chain performance analysis. In just a few clicks, you can ask for key metrics on specific products and get a clear, visual breakdown of the data.

Snowflake is rapidly evolving into an AI-powered data platform, enabling organizations to go beyond traditional analytics and bring intelligence directly into their data workflows. In this session, Vivek Sunny will share practical insights from his hands-on experience implementing AI-driven solutions on Snowflake—bridging data engineering with AI to unlock business value.

The way to make automation accessible is to simplify three things for everyone creating tests running tests and analyzing results. Let non technical teammates run existing suites on demand and use smarter analysis including AI to surface who what why quickly so leaders and support can see what is broken without pulling in engineers. — Philip Becker, Sr. Product Manager at Katalon Learn more Follow Katalon for more insights in our series!