Data science is the future of oil and gas

“Data science will increase the capability of oil and gas operations dramatically to improve efficiency, reduce cost, enhance safety, and empower employees from the IT team to the field team,” Wang told Rigzone.

In the interview, Wang highlighted that data sciences includes many data tools, including machine learning, which he noted will be an important part of the future of oil and gas. When asked if he thought more and more oil companies would adopt data science, and machine learning, Wang responded positively on both counts.

Asked to list some drawbacks of data science in the oil and gas world, Wang told Rigzone that data science requires a shift to a data driven culture and requires the understanding of how to apply the right data science to solve the right problems.

When Rigzone enquired if data science professionals are in high demand in the oil and gas sector right now, Wang said “we see that the demand is growing”.

Wang is described on Prescient’s website as a technologist and entrepreneur with more than 20 years of experience. He helped grow his previous startup, GTI IoT Technology, from a two-person founding team to over 150 employees, and deployed over 500K IoT devices for industrial applications, the site highlights, adding that he received a Ph.D. from Massachusetts Institute of Technology.

According to Prescient’s website, the Massachusetts based company’s mission is to empower businesses with the tools they need to make informed decisions based on data driven insights.