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Speaker

Aiman El-Ramly is the Chief Strategy Officer at ZE PowerGroup and ZE Power Engineering. He has 30 years of progressive experience in the energy, commodities and technology spaces. Aiman has a significant understanding of what is needed for corporations of all sizes to run and grow effectively. His experience and proven expertise allow him to state unequivocally that transforming data into actionable intelligence is essential to achieving corporate market objectives.

Aiman is an internationally renowned sought after speaker on a variety of global socio-economic and data technology topics. His strong communication and relationship-building skills are able to effectively sell the promise of his organization to customers, partners and inspire his team.

Aiman has had the privilege of speaking at a number of wonderful industry conferences and Universities globally.

Here’s the current schedule of Aiman’s upcoming public speaking engagements:

Upcoming Public Engagements:

Prior Engagements

  • Argus US LPG and Petrochemical Feedstocks, Houston, TX, December 3 – 5, 2019 (IT and analytics infrastructure that aid LPG traders maximize margins and increase productivity)
  • S&P Global Platts 23rd Annual Mexican Energy Conference, Mexico City, Mexico, November 13 – 14, 2019
    Understanding the evolving role Mexico plays in the global energy market
  •  LARTC 2019 Latin America’s refining and petrochemical industry Conference, Cartagena, Colombia, October 1 – 4, 2019
    How to Implement the Right Data Architecture to Support Machine Learning: Developing practical data strategies to support Energy Business use cases

Qualifying and quantifying risks of an organization are the quintessential job description of any risk manager. But how can these professionals assess new markets for risks, emerging risks in current markets or when to take risks? Making an enterprise data-centric risk strategy is the key. In this session, risk managers will learn from data industry expert Aiman El-Ramly on how to identify from data risks, opportunities and quantify an organization’s ability to mitigate or seize these. Finally, how can an organization take this established framework and provide an enterprise data-centric risk evaluation platform based upon innumerable data sources?

Learning Objectives:

  • Risk professionals will learn about new and emerging risks derived from Data and Analytics
  • Risk professionals will learn what data-centric processes are required for qualifying and identifying such risks.
  • Quantification of risk through external and internal data analysis.
  • How to gain transparent and auditable enterprise Data Governance to assess risks for organizations.

Developing practical data strategies to support Energy Business use cases.

With the proliferation of data and the need to extract intelligence to support critical business operations, companies are struggling to seek the right architecture for data analytics and machine learning.  Aiman provides examples of how to explore and implement advanced data and analytic solutions.

Learning Objectives:

  • Understanding the fundamentals of big data, data management, analytics, machine learning, and cloud computing
  • Developing business viable data and analytics strategies
  • Tips for a successful data-driven organization
  • How to design and implement practical advanced data analytics and machine learning
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