SPE Workshop: Data Management—Fuelling the New Industrial Revolution 18 - 20 Sep 2018 Jumeirah at Etihad Towers Abu Dhabi, UAE


Data is widely acknowledged as a corporate asset. Today the five most valuable publicly held companies in the world derive a significant part of their value and competitive edge from data. It is easy for these companies to treat data as a strategic asset because it is inherent to their business model and key to their success. However, companies whose major product is not data have been slower to create a corporate culture that understands, values, and promotes data as a strategic corporate asset.  

 

Companies, including those in the oil and gas industry, have traditionally focused on improving their core products and services and acknowledged data as an asset but not treated as one. The emergence of the fourth Industrial Revolution has created a new opportunity and motivation for companies in the oil and gas industry to take a fresh look at the role data plays in their business operations. Increases in productivity and profitability are available to companies that successfully implement new approaches such as artificial intelligence, machine learning, and predictive analytics. However, this success is completely dependent on the availability of high-quality data that meets the needs of the business. The value of data must be understood by each contributor across its lifecycle from the data producers to the data consumers and knowledge workers. It is the role of data management to create this new data culture.

 


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Keynote Address by
Qasem Al Kayoumi
Technical Center Manager
ADNOC Upstream Directorate

 


WHY ATTEND


By attending an SPE workshop, you can network with knowledgeable industry experts who are enthusiastic about discussing and advancing technology and best practices.

Staged in an intimate setting, an SPE workshop brings together E&P professionals with common roles and business or technology challenges to collaborate and solve problems together.

SPE workshops are highly focused on a given technical topic and provide attendees with an in-depth review in a short amount of time. The agendas include research-based, field-tested industry topics so attendees receive current, relevant technical knowledge. 


WHO SHOULD ATTEND


  • Data Managers 
  • Chief Information Officers 
  • Data Analysts 
  • Data Architects 
  • Data Engineers 
  • Data Scientists 
  • Data Security Managers
  • Data Security Analysts
  • Data Quality Managers
  • Data Quality Analysts
  • Business Intelligence Engineers
  • Analytics Managers
  • Machine Learning Engineers

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