Name
Panel – Data, Analytics and Machine Learning
Date & Time
Monday, November 9, 2020, 3:00 PM - 3:40 PM
Speakers
Jeremy Eade - bp
Philippe Flichy - Energy Embassy
Manoj Iragavarapu - V-Soft Consulting
Sastry Malladi - FogHorn
Afshean Talasaz - Laredo Petroleum
Philippe Flichy - Energy Embassy
Manoj Iragavarapu - V-Soft Consulting
Sastry Malladi - FogHorn
Afshean Talasaz - Laredo Petroleum


Description
- Machine learning and the IoT data deluge – how can machine learning models help operators gain ROI from their data?
- Quality over quantity – the importance of analyzing the right data in a timely manner
- The importance of cross silo, enterprise wide data strategies for machine learning programs and data analytics
- Predictive analytics - how can machine learning-based data analytics be used with legacy data lakes to help improve future operations and prevent repeat failures?
- What are the barriers to widespread “live” data analytics using machine learning?
- Data security concerns and considerations