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AI & ML: Data-driven strategies for the Power & Utilities Industry (& crisis impact)

4-5 June 2020, Virtual Conference

Time for full scale integration. This is no more a matter of leading in innovation, but a matter of operational and competitive necessity. The Covid-19 crisis period has been described as the official transition to the 4th Industrial Revolution - a significant moment in time where businesses, governments and people have been forced to take the ultimate step towards a fully integrated digital world.


Advanced technologies are no more just new high-tech systems to be installed & implemented; they are business models. They represent crucial economic and corporate transition into a truly digitally integrated workplace. CTO’s have emphasized that the main challenge of advanced technologies like AI and ML, is the requirement of comprehensive organizational integration, in order to successfully implement it into the core operations and business models of the energy sector.


AI & ML: Data-driven strategies in the Power & Utilities Industry provides the platform for management discussion around the implementation of data-science and data-driven management to deliver strategy, and consequently, competitive advantage. This conference welcomes the decision-makers and experts of technology strategy, analytics, data-science, and innovation from leading Energy companies in an exclusive close-group and business-friendly environment for peer-to-peer networking, knowledge-sharing and learning opportunities. It aims to provide an interactive online platform to help industry professionals discuss energy challenges to implement best transformation strategies and practices.

Speaker panel includes experts from:

  • Centrica
  • Enedis
  • Statkraft
  • Uniper
  • Innogy
  • Wintershall

Topics to be addressed:

  • AI and analytics to drive corporate & business strategies
  • Digital & data journey demystified: How It All Works
  • Algo Trading at Statkraft – a backup during Corona Crisis?
  • Organizational alignment is a prerequisite: Processes, People, Culture
  • Big-data is P&U’s most valuable resource
  • Time to consider full-scale AI integration
  • ML doesn’t need home-office: impact of COVID-19 on Energy Markets
  • Case study: AI & Advanced-Analytics in Power Generation stations

Target Market and Audience:

  • Power & Utilities operators
  • Renewable Energy operatos
  • Oil & Gas operators
  • Power contractors & Sub-contractors
  • TSOs, DSOs
  • O&G Pipeline, Terminal and Refinery Operators
  • Trading companies
  • Energy consulting, engineering and project solution-providers
  • Non-profit associations & institutes
  • Research institutes
  • Advisories, consulting companies
  • Software providers

     

Who Should Attend:

Chief Executive Officer, Chief Technology Officer, Chief Data Officer, Chief Information Officer, Chief Digital Officer, Presidents, VPs, SVPs, Directors, Heads, Managers, Advisors, Data Scientists of:

  • Artificial Intelligence
  • Machine-Learning
  • Deep-learning
  • Neural networks
  • Robotics
  • IoT
  • Data-analytics and advanced-analytics
  • Market analytics
  • Ancillary analytics
  • Price-Forecasting analytics
  • Metering, Smart Meters, Smart Grids
  • Automation
  • Big-Data
  • Digitalization
  • Innovation
  • Technology Strategy
  • IT
  • Research & Development
  • Enterprise Architecture
  • Asset Management
  • Communications providers
  • Customer Experience

For any enquiries please contact:

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