How can advanced data analytics contribute its share for reaching our climate goals? Here, you learn the challenges, industrial companies are facing, and how advanced data analytics can support them to reduce energy and CO2. How to discover disturbing factors on energy consumption? How to realize same product with same quality, but with less energy? How to run energy plant in best way? Case studies from automotive (Opel), wood production (EVO), cement industry are presented.
New streams of earth observation (EO) data (e.g. from Copernicus and New Space missions) lead to a far more comprehensive picture of our planet. These new global data on our planet offer new possibilities for scientists to advance our understanding of the Earth System. It also represents new opportunities for entrepreneurs to turn big data into new types of information services. In this table discussion, we discuss the chances and challenges as well as use cases and resources (tools, methods, data sets) for AI4EO.”
NewsletterKnowledge is everything!
Sign up for our newsletter to receive:
10% off your first ticket!
insights, interviews, tips, news, and much more about Predictive Analytics World for Climate