Client background
Client: O&G global super major
Industry: Global integrated oil and gas company
Products/Services: Deliver heat, light and mobility products and services
Areas of operations: Global
Challenges
The O&G super major’s documents and data encompassed a wide variety of source systems, files, COTs, and custom applications which were used to maintain assets. It wanted to craft a scalable strategy to leverage current data and documents as a critical enabler to gain a competitive advantage across global operations. The key challenge was to release the value trapped in the files and data while successfully migrating the diverse data/information associated with years of operations. Some of the challenges were:
Solution
Wipro combined domain technical expertise with its data wrangling automated technologies to address the business challenges by creating and enabling processes for aggregating, digitizing and extracting technical metadata to enable loading of data. These key processes and technologies helped enable a seamless migration of critical legacy and operational data into the engineering platform; while maintaining the integrity of the client’s asset data and files in support of safe, reliable operations. The use of our data wrangling services solution provided an accurate, up-to-date, and comprehensive master set of information for all documents and associated metadata vital for migration. To support the client’s clear objectives, it was essential to deliver on our commitment of implementing an adaptable automated and agile digitization, data mining and transformation solution, which would ensure information integrity throughout.
Business impact
“The Wipro team joined the project system implementation at a crucial time … understanding the requirements of our data validation and data loads, delivering validated data with 0% data load errors”. - Global Oil & Gas IMDC Manager, O&G Super Major.
Unlike conventional computers, artificial intelligence is not programmed. On the one hand, like humans, AI learns from information. Yet on the other, it learns far faster than humanly possible. Machine learning (ML) enables AI to make a correlation between a pattern and an outcome, formulate a hypothesis, take action and then integrate that feedback into its next hypothesis. AI continuously learns, with the goal of predicting future outcomes and events with greater accuracy.
Collaborative Work Centers (CWC) are being widely adopted by upstream oil & gas companies. They play a greater role in helping upstream oil & gas companies realize their goal of optimizing production, reducing cost & improving recovery.
This paper mainly discusses the current business challenges faced by the industry and how an organization adapts to growing technological solutions to overcome the challenges using Centralization of control centers.
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© 2022 Wipro Limited |
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