Organizations are becoming burdened with too many tools and too many tech shifts - all while facing an explosion of structured and unstructured data across diverse environments. Yet this challenge also presents an opportunity: with the right hybrid data foundation, organizations can unlock insights, allowing data to be delivered at speed and scale to fuel AI.
Organizations are becoming burdened with too many tools and too many tech shifts - all while facing an explosion of structured and unstructured data across diverse environments. Yet this challenge also presents an opportunity: with the right hybrid data foundation, organizations can unlock insights, allowing data to be delivered at speed and scale to fuel AI.
In this session, you’ll gain practical strategies for building a resilient data foundation that spans on-premises and cloud environments—while setting the stage for the next era of AI.
Key topics include:
Tiffany graduated from NYU Stern with a Bachelor’s Degree in Marketing and Computing & Data Science and a minor in the Business of Entertainment, Media, and Technology (BEMT).
She started her career as a digital marketing professional with a history of working in the community development finance/media and entertainment/tech industries. Within marketing, she has experience with paid media, web, analytics, and demand generation.
She made the transition into product management in late 2022, where she works on initiatives across a portfolio of data and AI products, specifically those that are available to deploy as SaaS.