Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
SHARE THIS:

11 years ago
Wise Practitioner – Predictive Analytics Interview Series: Dr. Satyam Priyadarshy at Halliburton

 In anticipation of his upcoming conference presentation, Challenges in Leveraging Predictive Analytics for Big Data in Oil and Gas, at Predictive Analytics World Boston, Sept 27-Oct 1, 2015, we asked Dr. Satyam Priyadarshy, Chief Data Scientist at Halliburton, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: In the upstream oil and gas industry, there is need for predictive analytics at various phases of oil well lifecycle.  Predictive analytics plays a critical role in detecting events that could lead to increased cost of operations. Predictive analytics

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.