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AI & sustainability

Date
1. Sep 2022, 14.00 - 15.00
Format
Webinar, Online
Location
Online
Registration deadline
29. August 2022
Price
Free
Target group
It employees
Open
0 1

At this webinar, we explore how we can increase the positive possibilities and impact of AI while lowering the planetary and economic downsides.

Gain

  • Dive into how AI and machine learning can be an extremely powerful tool in fighting climate change & saving money
  • How to decrease the negative impacts of AI, and increase the possible positive impact of AI and ML
  • Learn how we can all take action today to save the planet, money & energy

Content
AI can help save the planet, but a big AI model can also burn the co2 equal to almost 125 round-trip flights between New York and Beijing. When AI and ML emits co2, it does so with the use of compute power, thereby burning both energy and money.

Program
The webinar will start with an introduction about the negative impact of AI and ML and then move into how it can actually help fighting climate change. It is possible to ask questions during the webinar.

Place: Online (Zoom platform)
Date: 1st of september 2022
Duration: 1 hour
Format: Webinar
Start time: 14.00

Educator
Emilie Lundblad is Head of BI Solutions, Group M. She has 12 Microsoft Data & AI certifications and 12+ years’ experience with data & analytics, 6 of them in Data & AI consulting. She is a startup entrepreneur & data nerd and holds a master’s degree in quantitative finance & econometrics.

Registration
https://akademi.dit.dk/Meet-Inspire/Arrangementer/2022/ai-and-sustainability

To participate in the webinar, you must be a member of Dansk IT. All members of Finansforbundet can become a free member of Dansk IT. Register for free to Dansk IT through Finansforbundet (normal price DKK 1.585) Click here to read how to activate your double membership with Dansk IT.

This event is offered in collaboration with DANSK IT, Denmark’s largest independent union for IT professionals and IT users.

Contact

Center for læring og udvikling

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