Machine Learning Times
Machine Learning Times
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BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...
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8 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

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