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Across industries, AI systems are being scrutinized under new laws that demand proof of fairness, transparency, and human oversight. Hemraj Bedassee , Delivery Excellence Practitioner,
If you recall part one of this blog post, we were going to use ChatGPT in parallel with how we would work to cover these aspects of performance testing. We left the first part of this blog post at the point at which we had compared Requirements Gathering and Risk Assessment, we will pick this post up by looking at Script Creation before concluding with Results Analysis. Our performance testing tool of choice will be JMeter.
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?
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.
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.
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.
Discover how Sauce Labs' Apple Silicon-powered virtual devices deliver faster, more accurate iOS testing with up to 40% improved execution times and native ARM architecture support.
Users expect a single pane of glass for budgets, net worth, investments, goals, and safe bank connections that “just work.” Building a personal finance app that people trust isn’t just a design exercise; it’s a data, security, and distribution challenge. Investors are backing winners in this space.