Systems | Development | Analytics | API | Testing

What’s the Forecast? A look at data and AI in 2025 2025 is set to be a year of growth and change, particularly in the AI space. Over the last couple of years, AI has evolved from a niche technology to a driving force behind business strategies, innovation, and efficiency in almost every industry. Its impact is felt far and wide. It is not only shaping how we search for information, but how we digest and react to the world around us.

AI is changing the way developers and writers work, but not always in the ways we expected. Here’s what’s really happening in 2025: Developers are now spending more time reviewing AI-generated code than writing it. Faster isn’t always better. Writers who used to rely on peer feedback are getting instant AI edits—but at the cost of real collaboration. AI is a powerful tool, but it’s shifting roles instead of eliminating work. The question isn’t if you use AI, it’s how you integrate it.

Is your testing strategy ready for 2025? In this episode of Test Case Scenario, Jason Baum is joined by Maaret Pyhäjärvi, Principal Test Consultant at CGI, along with Diego Molina and Titus Fortner from Sauce Labs, to discuss the evolving landscape of quality assurance and business resilience. The panel delivers insights into the biggest challenges and opportunities for testing teams in 2025, from AI-assisted automation to the growing importance of accessibility testing.

"Monitoring is for your known unknowns. Observability is for your unknown unknowns." But what does that really mean? And where does exploratory testing fit into all of this? In this episode of QA Therapy, we sit down with Charity Majors, co-founder and CTO of Honeycomb, to dive into the evolving role of testing, monitoring, and observability in modern software development.

QA isn’t just about pre-production anymore. Testing is blending into the full development cycle, and exploratory testing plays a huge role. Charity Majors breaks it down: It’s about uncovering the unpredictable.

When it comes to AI, we’re focused on the wrong problems. On Test Case Scenario, we discuss the real challenges AI faces in software development: AI can churn out code, sure—but when it comes to maintenance, it’s dead weight. Collaboration over replacement: @Titus Fortner shares why AI isn’t your star coder—it’s your intern, and it needs constant babysitting. The real bottleneck? Writing code isn’t the hard part. It’s building tools that help teams actually understand and sustain their work.

THESE NEW, time and event-based tasks have made a HUGE difference in my hashtag#analytics workflows. Did you know that Qlik Cloud Analytic processes can run themselves? No manual updates, no waiting, just pure automated magic. I use this to process my order data in near real-time for my demos! hashtag#Qlik Script loops through multi-level, nested JSON every hour. Data Flow merges, transforms, and preps insights upon success. Qlik Cloud Analytics App reloads, ready for action.

Join us for an innovative session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we explore cutting-edge strategies to optimize both performance and cost in your Databricks environment. Striking the perfect balance between high performance and cost efficiency is crucial. Yet, 80% of data management experts struggle with accurate cost forecasting and management (Forrester). We'll show you how to overcome these challenges and lead the pack in Databricks FinOps.

Finding pain is key to starting your real-time data streaming journey, as Tim Berglund, VP of Developer Relations at Confluent, shares.