Determining how to balance risk vs reward in the realm of AI can be a daunting task. Particularly as tech and regulation are still emerging. This session will be about:

• How to classify the different kinds of "AI" into risk buckets
• How to determine where Innovation is worth the risk
• How to determine where there is little to no risk and allow innovation to flow
• How to understand or think through your business' unique areas of concern
• What to do about it

This will be a case study in how one company has approached this: what worked and what didn't. 

Speaker: Kira Rodarte

Kira brings over a decade of expertise in data analytics and data science to the table, establishing herself as a thought leader in Generative AI and the ethical application of AI in business. Known for her knack for deconstructing and reinventing processes (as well as just generally breaking everything), Kira excels at discovering innovative and improved methods to propel businesses forward in the realms of AI and machine learning. Her passion for pushing boundaries and finding creative solutions makes her a standout in the field.

Speaker: Danielle Derby

Danielle is at the forefront of data transformation initiatives. She is dedicated to harnessing AI/ML and cloud technologies to fully realize the potential of data assets. Danielle is passionate about cultivating data-centric environments that drive innovation and accelerate growth. She is proficient in guiding teams, formulating strategic initiatives, and achieving significant outcomes.