AI failures rarely look like crashes. More often, they appear as confident but incorrect answers, subtle bias, or culturally inappropriate responses.
AI doesn’t just fail with bugs. It fails in silence, in bias, and in behavior. That’s why traditional QA won’t cut it anymore.
As software systems get increasingly complex every day, the challenges of effective testing also escalate. Software testing involves handling large datasets, complex workflows, and shorter release cycles.
Smarter AI starts long before the model is trained. It begins with the quality of the data you feed it. Data that reflects real-world nuance, cultural context, and human behavior is what sets strong systems apart.
In this exclusive fireside chat, YELL’s CEO, Florian Berlinger, and Testlio’s VP of Payments Solutions, Eric Liebman, explore how great payment products are designed, built, tested, and released—all with high velocity and flexibility.
Join Emeka Obianwu, VP of Alliances at Testlio, and Todd McNeal, Co-founder of Reflect, to see how engineering leaders can harness AI and no-code technologies to scale automation and deliver better products with confidence.
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