Day 1: Sunday, April 28th
Sunday, April 28th, 2019
The expectations for the transformative impact of AI are sky high. But for large enterprises, the potential of AI is on a direct collision course with the reality of their messy, siloed data. Clean, comprehensive, accurate data is the fuel that AI needs to deliver the best outcomes. Garbage in, garbage out. The challenge for big, mature organizations is that they have decades of accumulated data debt that must be paid down first. What's the silver bullet? There isn't one. But using AI (specifically machine learning) to unify fractured data silos and clean dirty, duplicative records is part of the answer. Implementing that capability as part of a comprehensive DataOps model to modernize data management is a more complete answer. This talk will look at these challenges facing large enterprises and share examples of what innovators are doing to rise to the occasion.