Systems | Development | Analytics | API | Testing

Performance Testing and Artificial Intelligence (1/2)

If you believe many articles online you would believe that automation in testing will soon be defined, managed and executed by Artificial Intelligence (AI). AI is embedded in many organisations technology landscape and to think that this model will change is shortsighted. AI is here to stay undoubtedly in one form or another, but should it be responsible for the automated testing of your applications under test?

Breaking Boundaries: Embedding Agentic Intelligence Into Your Product Experiences

In this powerful Product Spotlight, Steffin Harris from ThoughtSpot challenges us to rethink how we design and deliver data-driven experiences. Discover how embedding on-brand, agentic intelligence into your products can transform analytics from something you look at into something that lives inside your product experience. Explore how ThoughtSpot is.

Accelerating the AI Journey Together: Logicalis + Cloudera

The future of AI is powered by data and success depends on the right partners. Logicalis and Cloudera are enabling organizations to confidently navigate their AI journey, from data strategy to execution, with scalable, secure, and intelligent solutions. I will send a CTA once Lan determines what makes sense.

The Architect Agent - An AI Consultant for API Design and Compliance

In today’s fast-moving vibe coding world, speed often wins. Developers spin up APIs, microservices, and pipelines in minutes. But speed comes with a cost: consistency, compliance, and long-term maintainability of APIs often lag behind. If you’ve ever looked back at a project and realized that naming conventions slipped, security best practices were inconsistently applied, or APIs drifted away from your organizational guidelines, you’re not alone.

Custom AI Solutions: Is your Business really in requirement?

Artificial intelligence is no longer a futuristic concept, it’s a business necessity. The rise of generative AI (Gen AI) has transformed it from a buzzword into a defining force reshaping industries at every level. What was once viewed as an experimental technology is now a key driver of competitiveness, innovation, and efficiency across the global economy.

Ensuring ethical AI use in QA: guidelines for responsible testing

Artificial Intelligence (AI) is reshaping Quality Assurance (QA) by accelerating testing, improving accuracy, and uncovering insights that once required hours of manual analysis. Yet, with great capability comes great responsibility. As AI begins to influence how tests are designed, executed, and interpreted, ensuring that it’s used ethically has never been more important. Responsible AI in QA isn’t only about compliance — it’s about trust.

Ep 46 | Keeping Humanity in the Age of AI with Jess Von Bank

What does it mean to design AI with humanity at its core? Jess Von Bank—futurist, HR transformation leader, and president of Diverse Daisies—joins The AI Forecast to discuss. With host Paul Muller, the two explore how AI is reshaping the workforce and our very sense of what it means to be human. From AI-driven recruiting and workforce redesign to the mental health crisis and the erosion of human connection, Jess challenges leaders to slow down, think deeply, and build technology that serves people—not replaces them.

AI and Data Privacy: 3 Top Concerns and What to Do About Them

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.