Systems | Development | Analytics | API | Testing

On this episode of The AI Forecast, Mike Walsh talks us through what he calls the fifth and latest industrial revolution - and that’s AI. Mike is a futurist and expert in disruptive technologies. He’s a best-selling author, host of the Between Worlds podcast, and CEO of Tomorrow – a global consultancy helping organizations adapt to the challenges of the digital age.

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals. They explored key questions that every tech leader should be asking themselves.

Accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-powered predictive tools. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to manage Databricks costs with AI.

AI promises efficiency, but are we implementing it the right way? @Marcus Merrell shares what’s critical to track AI usage and its impact: “Here’s the prompt I used to get this tool, and here are the changes I made to make it work.” This kind of transparency is non-negotiable. Start small with a group of mixed experience levels to uncover both benefits and risks before scaling. If AI adds overhead without solving core issues, is it truly worth the investment?

AI tools like Copilot and ChatGPT promised to revolutionize development workflows, but are they delivering or just creating new headaches? The stats speak volumes: 92% of developers say AI increases the blast radius of bad code 67% are spending more time debugging AI-generated code 59% face deployment errors at least half the time when using AI tools So, are we making strides toward innovation or spinning in circles of hype? @Marcus Merrell put it best: “This stuff was supposed to already start paying off by now. So why isn’t it working?”

AI is reshaping development, but is it meeting expectations? In this episode of Test Case Scenario, Jason Baum and Marcus Merrell explore the evolving role of AI in software development, drawing insights from recent industry reports. They discuss whether AI tools are living up to their promise of reducing burnout and boosting productivity while examining the complexities of debugging, security risks, and governance gaps.