July 2nd, 2020
4pm - 5pm (CEST)
Both physics-based models and machine learning can be used to make predictions -- so which approach should be used for what purpose, and when is a combination of the two the best solution?
Join us to learn from Gunnar Staff, Senior Principal Data Scientist at Cognite, how physics is being fused with ML to bring out the best of both worlds, unlocking both financial and sustainable value from advanced analytics in processing industries.
In this webinar, we will present two use cases for what’s known as physics-guided ML or hybrid AI:
In addition to these use cases, you will learn how hybrid AI can be applied to address your organization’s production optimization challenges. Key takeaways include:
GUNNAR STAFF, SENIOR PRINCIPAL DATA SCIENTIST: Gunnar joined Cognite in 2018 and leads the company’s Production Optimization team. Prior to that, Gunnar spent 12 years in the SPT Group and Schlumberger working on the multiphase flow simulator OLGA doing model development, validation, and optimization. Gunnar has a Ph.D. in numerical methods from the Simula Research Laboratory in Oslo, Norway.
PETTERI VAINIKKA, VICE PRESIDENT OF PRODUCT MARKETING: Petteri’s professional career spans across enterprise SaaS technologies, where he has found himself at the intersection of emerging transformational technology development and its commercial applications for customers. Prior to Cognite, Petteri worked in senior product management, marketing, sales, and general management positions for companies such as at Sumea, Rovio, Ardoq and Cxense. Petteri has a master’s degree in technology from Aalto University in Helsinki.