William Groves

William Groves

Job Title: Chief Data & Analytic Officer

Company: Honeywell

Bill Groves is Chief Data & Analytic Officer at Honeywell International, a Fortune 1000 connected industrial leader. He is responsible for leading data strategy and advanced analytics to monetize data across Honeywell. He heads a global team of 50+ distinguished data scientists and strategists with deep backgrounds in machine learning, industrial analytics and big data to uncover new value for Honeywell customers.

Bill has almost two decades of industry experience in building and managing world-class analytic organizations that drive business growth. Prior to joining Honeywell, Bill served as the Chief Data & Analytic Officer at Solera where he built and ran a $500M Data and Analytics business.  He has also held executive-level roles in Data and Analytics at Fortune 500 companies including Chief Analytics Officer at Dun & Bradstreet and Analytic Consulting Leader at Fair Isaac and MBNA America.

Bill was previously a Board Director for the Buro de Credito in Mexico and currently serves as a Board Advisor for BizEquity, the leading provider of business valuation knowledge.

Bill graduated from the University of Delaware with a Master’s degree in Technology and Innovation. Hel lives in Delaware with his wife and two boys. He enjoys coaching and participating in football, lacrosse and ice hockey in his spare time.

Speaking at the following:

5.00pm - 5.30pm
Panel Discussion: Leveraging Machine Learning and advanced analytics to deliver business value

Best practices in choosing, designing, and implementing from the portfolio of analytical methods including real-time, geospatial, machine learning, statistical, and “big data” Discussing ways to operationalize the results from advanced analytics and models and put them in to action? How do we integrate Internet of Things, pervasive sensing, and the cloud into my companies existing… Read more.

12.30pm - 1.00pm
Keynote Presentation: The journey to becoming a cognitive business

Why Machine Learning & AI? Building a Business Strategy – key considerations, benefits and pitfalls Organizing your business to operationalize Machine Learning and Artificial Intelligence – people, process and technology considerations Delivering Value to the Business – Examining case study examples from Honeywell – wins, losses and lessons learned.