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In a three-part video series, energy leads at Cognite, a globally recognized authority in AI for industry, and EY discuss how data-based, predictive technology can increase reliability; reduce costs; and create safer, more sustainable assets and companies.
Energy and industries operators globally aim to run consistent business and digital transformations. Yet, they often struggle due to heterogeneous, complex and critical asset bases with disparate systems and decades and decades of legacy. As technology advances, these companies can span silos and complex processes, simplify access to data, and ultimately improve their operations to drive enterprise value.
Ben Williams, EY Americas Consulting Oil & Gas Leader and Global Energy and Resources Digital Operations Leader, recently interviewed Dr. Francois Laborie, Executive Vice President, Cognite, on the role for data, analytics and AI in large-scale transformation of complex industries like oil and gas. With understandable data, companies can better gauge operational efficiency and carbon intensity and therefore prioritize efforts and investments to benefit the climate. This enables them to balance production with emissions reduction.
Watch our series on data-driven transformation for profitability and sustainability
Part 1: Enabling operations with harmonized data
By radically simplifying the complexity of data across siloed processes and systems, energy organizations can maximize operational performance from the field to the back office.
Part 2: Connecting data to power sustainability and decarbonization
Operators can use the same data sets and tools to optimize and drive efficiency in cost and emissions from brownfield to greenfield assets and projects.
Part 3: Scaling AI across the energy value chain
A strong, trusted data foundation and strategic architecture are needed to enable analytics, AI and data science at scale in complex sectors like oil and gas.
Summary
Operators with some of the biggest, most ambitious digital transformation programs also face unique challenges. Leaders from EY and Cognite discuss the importance of making the complex simple and the power of an ecosystem approach to enable the business end to end. By increasing access to high-quality industrial data from hundreds of OT, IT and engineering data sources, companies can empower product and production engineers, maintenance and operations teams, data science and business IT professionals to make high-quality decisions quickly.
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