Tuesday, August 18, 2015
02:00 PM - 02:45 PM
|Level: ||Technical - Intermediate|
Big Data isn’t new, it has been an industry hot topic for years. However, the best way to use the data is still being developed and debated. There are many different viewpoints on how best to use the massive amounts of data being collected by enterprises. Nevertheless, we can all agree that big data is most beneficial when it is able to predict future events based on patterns and trends.
To do this, enterprises need to not only capture the data, but capture it in a way that allows the data to be analyzed and then actionable. By being able to make better, more informed decisions, the data evolves into predictive analytics. With such insight, companies can improve their operational responsiveness, using information as a competitive differentiator. Therefore, technologies that can help turn data and information into an asset are becoming a necessity.
This session will discuss:
- Best practices for collecting, preparing and leveraging data for predictive analytics
- Several different types of technology, such as historians and relational databases, to help collect and manage data
- Benefits associated with structured big data and how to gain consensus to achieve it within their enterprise, including:
With the correct approach and technology, big data can be used to predict events before they occur and
IT leaders will be free from a reactive environment, allow them to be proactive and gives them a leg up on the competition
Jeremiah Stone is the General Manager of GE’s Industrial Data Intelligence software business which focuses on helping Industrial companies achieve equipment and business-performance goals using advanced data-management, predictive-analytic, and process-optimization solutions and services to effectively access, manage, and leverage industrial data. Before joining GE, Jeremiah was vice president, Natural Resource Industries and Sustainability Solutions at SAP, where he was responsible for strategy, market research, investment cases, and development for SAP’s Sustainability, Oil & Gas and Mining industry portfolios. Additionally, he was a leader in SAP’s cross-functional adoption of Lean and Agile software development and continuous improvement of solution and system-oriented design. Jeremiah is a graduate of the University of Colorado's Mathematics program, Summa Cum Laude. He is an inventor or co-inventor of multiple U.S. patents and several publications.