Gain a Competitive Edge in AI/ML Applications with Good Data

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WEBINAR PANELISTS:

NAVID ALIPOUR | Co-Founder | CureMetrix

SETH DOBRIN, PHD | Chief Data Officer | IBM

KRITHIKA SWAMINATHAN | Vice President, Intuit AI | Intuit

MATTHEW WNUK | Staff Machine Learning Engineer | Sony Electronics

Moderator: BRIDGET KIMBALL | Vice President, Chief Architect | Intuit

For Artificial Intelligence and Machine Learning (AI/ML) to be effective, quality and reliable data is paramount.  As competitive businesses demand faster time to insight than ever before they are leveraging massive amounts of data from a growing number of diverse internal and external data sources with varying degrees of reliability.  Data scientists spend 82% of their time conducting data cleanup and preparing data quality for AI/ML applications. This increasing complexity challenges organizations to derive valuable insights from their data faster than their competitors.  Join us as we learn how quality data for AI/ML can flip that equation. This must-attend webinar provides access to industry leaders who are changing how their organizations serve up data to the business, how data is leveraged to improve products and services, and how teams can effectively perform in a data-obsessed environment.