AI & Data Science in Trading

We are excited to welcome everyone back after our short summer break! Join us for an exciting evening of disruptive startup presentations, exciting competition announcements and a relaxing evening of socialising with Angels, Startup founders, Developers, Corporate Clients, Tech Enthusiast and Others.

Artificial intelligence is changing the way that many industries operate and has huge potential to transform the utilities industry. Utilities are turning to big data capabilities to help them improve asset maintenance, integrate DERs, improve demand response, and increase online customer facing applications. The 2nd virtual Big-Data & Advanced Analytics for Power & Utilities Conference, offers content for decision-makers and experts of technology strategy, analytics, data-science, and innovation from leading Energy companies. Learn how Data and analytics leaders can leverage AI to anticipate, shift and accelerate transformation in the face of disruption, uncertainty, and opportunity.

What are prospects in the electrical power network? Power grid automation systems market is booming so rapidly due to the recent advancement in smart grid technology and fast movements towards renewables. With the advancement in technology, there is an immense increase in the demand of electrical energy that has not only become challenge for its production but also its distribution. Our Digital Grid Operations and Strategic Data Management – Hybrid Event (Online & Berlin, Germany) on 29th – 30th of September 2022 will help network operators, TSOs and DSOs to upgrade their grid optimisation process and strategies to ensure reliability and resilience. Industry experts will have an opportunity to share their views and expertise on how to unlock the full potential of grid development, grid infrastructure and grid integration to maximise operations enhancements.

Given the seismic changes in customer behavior driven by the pandemic, historical data in effect became redundant overnight as businesses instead had to make sense of what was happening in real time. Those businesses with the most established customer data frameworks were therefore much better equipped to respond to these changes and deliver the experiences their customers needed in difficult circumstances.