IBM and Amazon Web Services, Inc. (AWS), a subsidiary of, Inc., have announced that they will combine the benefits of IBM Open Data for Industries and the AWS Cloud to serve energy customers.

This comprehensive solution is based on Red Hat OpenShift and will run on the AWS Cloud, allowing clients to execute workloads both on-premises and in the cloud. The two firms also plan to collaborate on future functionality development to give users more flexibility and options for where to run OSDU applications.

The energy industry is under pressure to cut greenhouse gases as demand for inexpensive energy continues to climb, according to an IBM and whitepaper sponsored by IBM. Energy firms want solutions that help them achieve savings in order to free up funds, time, and resources to invest in future research and development of new, more sustainable energy sources.

Data and digital technology can aid with this change, but according to an IBM report, just about half of oil and gas executives are utilizing data to drive innovation. This is due in part to the fact that most digitization efforts have been focused on proprietary closed systems, limiting the ability to combine and optimize data value.

The agreement between IBM and AWS intends to speed the industry’s removal of data obstacles. For the oil, gas, and energy industries, IBM Open Data for Industries is an open-source solution based on the OSDU data foundation.

Built on Red Hat OpenShift, the industry’s leading Kubernetes platform, and open architecture, IBM Open Data for Industries is fully integrated with IBM Cloud Pak for Data for easy data management.

It’s also built on Red Hat OpenShift, the industry’s leading Kubernetes platform, and open architecture, designed so that companies can run and operate applications globally. Customers will be able to execute OSDU Data Platform apps in the AWS cloud or on-premises while meeting data residency requirements.

This data platform, when combined with AWS cloud services’ wide cloud architecture, may assist energy firms to minimize the cost, time, and resources required to use data to extract insight, streamline operations, and move to sustainable energy generation.

“Much of the data needed to solve the complex energy challenges, such as superior subsurface decisions, already exists, yet is untapped. This is because one of the greatest values of that data is derived when it can be effectively combined, but usually, this data is locked by data residency requirements, legacy applications, or proprietary data formats,” said Bill Vass, vice president, engineering, AWS”.

“By collaborating with IBM and leveraging Red Hat OpenShift, we will be able to offer customers a global, seamless offering with the flexibility to run on virtually any IT infrastructure and drive longer-term digital innovation.”

The OSDU Forum is a cross-industry collaboration that provides a vendor-neutral framework for companies to develop data platforms against common energy industry standards. By working together, IBM and AWS will accelerate the value of this platform for global customers. The goal is that this combined effort will help serve the needs of energy companies today with the flexibility to adapt to change amid energy transition.

“Data is a critical asset to help fuel energy transition, yet too often energy companies must choose between running applications on-premises or in the cloud, and often each deployment uses a proprietary data format,” said Manish Chawla, global managing director, energy, resources and manufacturing, IBM.

“This means that rather than using all of that collective data to gather insights, augment operations and inform innovation, some of it was going unused. Our collaboration with Amazon Web Services is addressing the need to make it easier for energy customers to access their data and provides the industry with a flexible solution to meet the challenges of today, as well as more easily adapt as the industry evolves.”

This collaboration underscores the value of IBM and Red Hat to provide flexibility and unlock greater business value for operational data across industries.


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