Dr. Satyam Priyadarshy

Chief Data Scientist Halliburton
Dr. Satyam Priyadarshy is a pioneer in the fields of data science, big data, analytics, and emerging technologies. He is the chief data scientist at Halliburton’s Landmark PSL, leading the data science team to optimize the most complex operations of any industry. He is a globally recognized transformational leader with breadth of scientific knowledge, in-depth technology experience and extensive business acumen. Dr. Priyadarshy has appeared as keynote speaker at several international conferences, and has written, co-authored, presented and published numerous research papers in peer-reviewed journals and magazines. He has held various leadership positions in AOL, Network Solutions, Acxiom Corporation prior to joining Halliburton. He was recently named to The Financial Times’ list of potential board candidates with emerging technology and analytics expertise. Dr. Priyadarshy is also Adjunct Faculty at few universities. He has been profiled in many magazines including Chemical and Engineering News, The Scientist, Silicon India, Oil Review Middle East, Petroleum Review, RigZone among others. Dr. Priyadarshy obtained his Ph.D. from IIT Bombay and MBA from The Pamplin School of Business, Virginia Tech.

Pre-Conference Workshops: Tuesday, 16 June 2020

Tuesday, June 16th, 2020

9:00 AM UNLOCKING SUCCESS FOR BIG DATA PROJECTS IN OIL AND GAS INDUSTRY

In this workshop, we will discuss predictive analytics, big data analytics, key drivers of success, common reasons of failure, trends, advice, and more.

  • What are the rapid advancements in the oil and gas industry and in emerging technology devices? How are they impacting the analytics industry?
  • What is the current maturity level of predictive analytics in the energy sector - reference to the Middle East?
  • What are the major developments expected in the next 5 years?
  • What are the key big data challenges unique to the Middle Eastern energy sector?
Led by

Conference Day One: Wednesday, 17 June 2020

Wednesday, June 17th, 2020

11:15 AM PANEL DISCUSSION: How can organisations get started on AI projects where future risks and return on investments are hard to quantify?

  • How to make sure your AI initiatives are designed to deliver value over the long-term?
  • Developing the business case: Where and how vendors and industry consultants with experience in both AI/ML and in specific industry verticals can help.
  • How to justify the investment after identifying a strong business-case for broader implementation of AI/ML?
Panelists:

2:30 PM

Using predictive maintenance to help oil and gas, financial services, healthcare industries to prioritise equipment maintenance, maximise uptime, improve the safety and security of workers, and reduce expenses

Check out the incredible speaker line-up to see who will be joining Satyam.

Download The Latest Agenda