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.
Large language models are under threat from a tactic called LLM grooming, where bad actors flood public data sources with biased or misleading content to influence AI training behind the scenes.
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.
Discover how Red Bull strikes the perfect balance between efficiency and meticulous attention to detail, ensuring that every digital touchpoint delivers on its world-class brand promise—from mobile apps and streaming platforms to immersive online events.
This expert-led conversation will arm attendees with technical insights into successfully implementing a multi-sourced runtime environment. One that allows teams to have their cake (flexibility) and eat it too (without negatively impacting speed).