How to Let Data Drive Your Transformation Initiatives | Experts

In today's experience economy, retailers are under immense pressure to deliver seamless, personalized omnichannel experiences. However, being locked into rigid third-party systems can severely limit a retailer's ability to innovate and adapt to evolving customer expectations. Join our experts as they discuss the full-stack approach — a strategy that empowers retailers to own their critical digital systems like POS, loyalty programs and e-commerce platforms so they can capitalize on AI's vast potential, tap into valuable customer data and insights, accelerate innovation cycles, and deliver unparalleled retail experiences that build loyalty and trust.

Today's artificial intelligence models are revolutionary — reshaping industries by automating complex business decisions previously left for experts. Success with AI, as many now know, is predicated on data. So, what happens when the data we feed our AI models is inherently biased? Join WWT Data Scientist Charlene Ulrich and Big Data Consultant Daniel Cholakov as they talk about the growing need for leaders to scrutinize AI and natural language processing (NLP) models for bias. Charlene and Daniel use a recent WWT Research paper on mitigating bias in AI using debias-GAN as a jumping off point for a conversation that includes why de-biasing AI is important, where and how bias can take place and how you can use our findings to to improve your AI strategies.