Description

Haunted by Bad Data: Building trustworthy infrastructure and governance required for advanced AI

Every organization is racing to adopt advanced AI, but many are being haunted by what lies beneath: messy, siloed, and unreliable data. No matter how powerful the model, AI is only as trustworthy as the foundation it's built on. Inconsistent data, weak governance, and unclear ownership can turn promising AI initiatives into costly nightmares.

Join Tampa Bay Tech's InnovatHERS and Allies for a candid conversation on what it really takes to build data foundations strong enough to support AI at scale. Our panel of leaders will share how they've tackled data quality, governance, and risk inside their organizations, how they build trust in AI outputs with business stakeholders, and the practical steps leaders can take now to keep bad data from undermining their AI ambitions.

Featuring:
Dr. Jasmine Gilbert, Head of Data Analytics, Risk and AI, Aon
Marianne Kirkland, Director of AI and Digital Transformation, TDSynnex

Moderated by:
Raven Tiem Hill, Sr. Manager, Sales & Service Technology, PODS

Whether you're leading AI strategy, managing data teams, or just starting your AI journey, you'll leave with real-world insights and actionable takeaways. Come for the conversation, stay for the connections, and don't be scared to bring your toughest data questions! 

Hosted at the Webull Headquarters in St Petersburg, Fl