AI&ML for the Smart Grid

September 8th, 2020
PAM Trends

 September 8th, 2020 - September 10th, 2020
 Recommended Event

AI&ML for the Smart Grid

Event submitted on Saturday, February 1st 2020, approved by Charles Villanueva

AI&ML for the Smart Grid, September 8th, 2020Click to Tweet

25 Days Until The Event
September 8th, 2020 - September 10th, 2020
United Kingdom » 
Event Website

This event has been tagged as follows:

* This is an online event (webinar)
This event is part of a series managed by Smart Grid Forums

 Our Review

This is a pretty amazing AI & ML Conference taking place in Brussels. We’d absolutely encourage you to attend if you work in this space and not least if you’re based in Belgium (Europe). This year we’ve seen a massive surge of AI Conferences. Whilst this event is not a pure-play Cyber/Hacking event there will be a ton of security baked into everything. Smart Grid is totally reliant on working under strong protection and that’s what the fine folks and speakers at this event will likely be discussing. Good luck to the organizers and let us know if you attend!

- Review written by Henry Dalziel on Saturday, February 1st 2020.
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Event Summary

The following description was either submitted by the Conference Organizer on Saturday, February 1st 2020, or created by us.

This first AI&ML conference is created to meet the specific information needs of smart grid data science experts, who need to establish the business case, deep dive into the industry drivers, and implement a technical strategy that will enable them to rapidly scale-up their AI-driven big data analytics programmes at a time of intensifying grid complexity.

For more than 3 intensive conference days, attendees will hear practical case-studies from over 14 utility data science leaders, on their implementation of next-generation AI&ML platforms and processes, the development of their data science team structures, and their application of AI&ML methodologies to a wide range of smart grid use-cases such as predictive maintenance, forecasting, condition monitoring, fraud prevention, vegetation management, among others.

Participants will also have an opportunity to get to grips with the implications of new technology trends in the areas of machine learning, machine vision, deep learning, and the opportunities these present for the future of your analytics programmes.

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