Systems | Development | Analytics | API | Testing

In this fireside chat, Rahul Shetty - one of the most widely followed test automation educators - explores how AI is reshaping testing careers, which QA roles and skills are gaining relevance, and what testers should focus on learning next. He also shares how AI is being used by real testing teams, what interview panels are looking for in 2026, and how testers can stay relevant as the industry evolves. A practical conversation on the future of QA, beyond the AI hype.

Every new AI chat is another first day on the job. Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over again. In this episode of The AI Forecast, Paul Muller speaks with Rob Collie, founder and CEO of P3 Adaptive, former Microsoft product leader for Excel and Power BI, and author of “Fair Game: Bringing AI Into Reach for All Business” to explore why business context can make or break enterprise AI.

New research with 150 Kafka practitioners reveals they have a love-and-hate relationship with the replication tools. Most use MirrorMaker2 until it lacks enterprise compliance and complexity pinches. Confluent Cluster Linking is powerful, but organisations hate being locked in. 70% of respondents would make the switch to a different tool if they were assured the migration was easy. Join Guillaume Aymé, the CEO of Lenses.io, who will be discussing the state of Kafka replication with the author of the research, Dinesh Chandrasekhar, the Founder of Stratola Research.

AI transformation in financial services is no longer just a technical upgrade—it is the cornerstone of delivering the seamless digital experiences today's banking and insurance customers demand. In this feature from Appian Around the World London and Appian Europe, Sandeep Dubbireddi, Industry Vice President of Financial Services at Appian, breaks down what it takes to successfully diffuse artificial intelligence across entire enterprise organizations.

Nicola Tagoe (Line of Business PMM, Snowflake) and Margaux Bouche (Manager, Demand Generation) show how AI changed the way they build campaigns together. They cover the shift from two-week positioning cycles and data scattered across five tools to a shared Snowflake foundation where PMM and Demand Gen now build in real time. Plus their honest take on the 80/20 rule: AI handles the research and structure. The last 20%, brand voice, bold bets, and the judgment that comes from years in the job, stays with the humans.

Build a Logistics Dashboard on On-Prem SQL Server with DreamFactory + Base44 In this video, I connect an on-prem SQL Server database to Base44 using DreamFactory. DreamFactory serves a REST API with a read-only role and a scoped API key, and Base44 uses that API as a custom integration to build a full logistics dashboard, complete with related records, filtering, maps, and per-customer and per-driver analytics. No direct database access, no hand-written API code.