How Machine Learning Transforms and Improves The Efficiency of Oil and Gas Industry V-Soft Tech Talk

Oil and gas are one of the most lucrative industries that operate under the most critical industries. The error-prone and manual processes are negatively affecting the maintenance activities and business functions of the oil and gas industry. Machine Learning (ML)  has proved beneficial in many industries by providing systems the ability to automatically learn and improve from experience without being explicitly programmed. This technology accesses data to learn for itself, and it's been increasingly utilized in the oil & gas industry. Machine learning optimizes business operations, productivity, and safety. Machine learning can play a significant role in transforming service operations to achieve greater efficiency and drive optimized business decisions.

In a recent Machine Learning event focused on oil & gas, Managing Director of V-Soft Labs, Manoj Iragavarapu, joined a panel of experts to dive deep into all things data, analytics, and ML.

Manoj Iragavarapu is the Managing Director for V-Soft Labs.  He has designed an Automation strategy and provided a big-picture vision of "Automation by Any Means" for overall Business Solutions with a detailed tactical plan for the growth of each practice area (ServiceNow, Mobile, Web, Cloud, MuleSoft & QA Automation).

References:

https://blog.vsoftconsulting.com/blog/how-can-machine-learning-strengthen-the-oil-and-gas-industry

https://blog.vsoftconsulting.com/blog/ais-role-in-oil-and-gas-industry



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