September 22, 2020 By Wlad Frazao 2 min read

Between turbulent economic market conditions and the transformation of the global energy landscape, upstream oil and gas organizations face increasing pressure to exploit new finds and enhance recovery from existing fields. In this volatile business climate, data is a key differentiating asset.

Reaching sustainable growth requires doing more with less and moving faster. Data has become an accelerator for reviving industry collaboration to uncover new revenue opportunities up and down the entire value chain.

The energy industry’s largest and most successful collaboration to date, The Open Group OSDU Forum represents a wide-ranging consortium across 130 leading oil and gas service companies, systems integrators, cloud providers and academia, and over 30 of the world’s leading energy producers including Shell, BP, ExxonMobil, Equinor and Chevron forming the core producer management committee.

The ODSU Forum works collaboratively to build a cloud native data foundation with application-specific (API) and industry-data standards for seamless data access and integration. This helps fast track innovation, reduce costs and accelerate the agility of the energy ecosystem.

Data platforms must combine business and technology drivers to be successful and platform choice really matters. Energy industry leaders who harness their data and accelerate advanced technologies across their workflows stand to reap big rewards.

In order to realize the most value from the OSDU data foundation program, IBM® and Red Hat, a global leader in open source technologies, have teamed to create IBM Open Data for Industries, a new market offering built on Red Hat® OpenShift® and fully integrated with IBM Cloud Pak® for Data, to deliver a seamless data and AI platform that modernizes how enterprises collect, organize and analyze data to infuse AI-enabled operational decision-making.

With IBM Cloud Pak for Data, the energy industry can now effortlessly connect all data, including the OSDU Forum industry data standards, and automate and govern the entire data and AI lifecycle. Enterprises across the globe have turned to IBM Cloud Pak for Data to solve their most pressing challenges , bringing them one step closer to trusted, automated AI.

Building on the streamlined hybrid-cloud foundation of OpenShift, IBM Open Data for Industries offers an enterprise grade open source platform on the OSDU data foundation that supports infrastructure-agnostic, vendor-neutral solutions to reduce complexity for building a single exploration, drilling and production workflow.

IBM Open Data for Industries aims to become the platform of choice to help Energy and Petroleum industry leaders accelerate their digital transformation journey.

To learn more about the OSDU data foundation, visit The Open Group OSDU Forum

Connect with an IBM or Red Hat account manager today to accelerate your OSDU data foundation journey or reach out directly to the team members listed below.

Find your IBM Analytics expert to schedule a consult and solve your data and AI needs.

If you’re interested in more information on the benefits of IBM Cloud Pak for Data, watch this video:

Was this article helpful?
YesNo

More from Cloud

Maximize business outcomes on IBM Cloud with Concierge Platinum Services

2 min read - In the rapidly evolving digital landscape, we see that businesses are increasingly migrating to cloud services to enhance their operations, boost productivity and foster innovation. However, the process of transitioning clients to the cloud can often be intricate and time-intensive. To tackle this challenge head-on, IBM® offers clients access to a specialized Concierge Platinum Team, which is equipped with top-tier skills and expertise, to help expedite the cloud onboarding process and provide a smooth transition to Day Two Operations. What…

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

IBM Tech Now: April 8, 2024

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 96 On this episode, we're covering the following topics: IBM Cloud Logs A collaboration with IBM watsonx.ai and Anaconda IBM offerings in the G2 Spring Reports Stay plugged in You can check out the…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters