Presentation at Data Summit, Boston, MA
With edge computing becoming a thing, AI on-the-edge is quickly following suit. It unlocks a whole new world
of possibilities, including predicting customer needs before they even know them. But edge AI seems like
it’s only a game for the most cutting-edge companies like Apple, Amazon, or Tesla, to name a few.
Traditional enterprises aren’t really embracing it out of fear it may cost too much or due to uncertainty
about the potential ROI. To tap into this opportunity, organizations don’t need to choose a risky “all in”
approach; a small iterative approach reduces the risk while ensuring your edge AI projects aligns with your
overall business strategy. Join this session to learn how to apply a Minimal Viable Prediction (MVP)
approach to your next edge AI project.
Wolf Ruzicka | Chairman of EastBanc Technologies
Polina Reshetova | Data Scientist at EastBanc Technologies