"Data acquisition cost is the number one factor holding life sciences companies back from more fully using predictive analytics and AI for speculative R&D. Moving the needle with predictive analytics often requires large volumes of training data..."
Artificial Intelligence, Machine Learning and IoT are all tools that are barreling through the oil and gas industry right now with a vengeance.
I spoke with 2Predict’s Lead Data Scientist, Cedric Fraces, about the integration of AI and ML in the oil and gas industry. “Today AI is gaining traction in a wide range of applications – helping companies streamline processes, improve operations, better serve customers and save money..."