Dr. Srinath Madasu
Senior Technical Advisor-Data Analytics, Halliburton
Adjunct Faculty, Petroleum Engineering, University of Houston
The oil and gas industry faces challenges of real time data gathering, modeling, prediction and optimization across different applications such as exploration, drilling, fracturing, reservoir modeling and production. This talk demonstrates the capabilities of hybrid machine learning/data driven modeling and optimization by providing tools to the customers for modeling and optimization of important applications in oil and gas industry. These tools make the real time decision process easy and help answer critical questions.
Keith Moore, Director of Product Management, SparkCognition
There are two ends of the "AI" spectrum that are often presented: AI is going to solve the world's problems one slide deck at a time OR a PhD will give you a "quick" run-through of a 4-hour deep learning tutorial. In this session, we aim to land right in the middle – how to set up problems, how to analyze and interpret your data, and finally, how to build models that can drive business value without ever needing to know Python or R.