Systems | Development | Analytics | API | Testing

In this webinar we explored and discussed McKinsey’s vision for harnessing AI agentcs to achieve holistic impact. Watch to delve into.

Mark Winteringham says if you can’t clearly define the challenges AI can address, you’re not ready to integrate it into your process. Instead of jumping on the AI bandwagon, focus on understanding your needs first.

Discover how to harness AI in exploratory testing! In this episode of QA Therapy, Mark Winteringham discusses the benefits of AI in QA and the critical importance of identifying the right problems before adopting it. AI isn’t a one-size-fits-all solution. If you can’t pinpoint specific challenges it addresses, you might not be ready to use it effectively. Mark’s insights provide clear guidance for making informed decisions about AI in your QA strategy.

Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.