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ML-generated metadata and Agile Governance improves data Trust and Accessibility.

Jason Baihly

Digital Production Business Owner – North America Onshore at SLB

Raj Kannan

Data Business Development Manager – Americas Land at SLB

Session description
Jason Baihly is the Digital Production Business Owner for SLB North America Onshore, where he focuses on developing and deploying digital solutions across the hydrocarbon production and processing chain. He holds a bachelor’s degree in Civil/Environmental Engineering from the South Dakota School of Mines and a master’s in Management of the Oil and Gas Industry from Heriot-Watt University.

Raj Kannan is the Data Business Development Manager – Americas Land at SLB, with over 25 years of experience in enterprise and data technology. As an SLB recognized Advisor, he has led business development, software design, and service management in North and South America. Both are set to share their insights on how ML-generated metadata and Agile Governance improve data trust and accessibility.

Jason Baihly and Raj Kannan will address common data challenges such as inconsistent data usage, difficulties in finding critical regulatory data, and manual cataloging of acquired assets. They will discuss how digital transformation, driven by first-principle approaches and data-driven insights, hinges on accessible, high-quality data. A local case study highlights how poor file organization impedes data science, leading to unreliable datasets. They will explore how scalable, trusted metadata management and agile data governance can transform data management from a burden into a valuable asset, focusing on solutions that accelerate digital transformation for companies in the acquisition space.

Key Topics
  • Ever have one or more of these data challenges – all team members not using or knowing which is the most up to date data input file, can’t find critical data from acquired assets for regulatory reporting, manual searching and cataloguing of acquired asset data, multiple versions of files taking up large volumes of storage?
  • Digital Transformation is a step change driven by combining first principal approaches with data-driven insights to drive key business decisions. Reliable and accessible data is therefore key to drive digital transformation
  • Data-driven approaches require easy access to high quality data with reliable context for understanding. A local case study reveals that clunky file systems and fragile folder/file organization conventions create huge impediments for data science due to duplication, inconsistency and generally unreliable datasets
  • A scalable, trusted metadata management approach or system? can bring context to data and a cloud-based, intuitive, user-friendly discovery system can provide search and visualization of available data sets with lineage and quality context. Embracing agile, smart data governance policies shift data management perspective from one of burden to overall asset team value.
  • The presentation will focus on the challenges and the solution employed accelerating the digital transformation journey for companies in the acquisition space


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