Virtual Panel Discussion: Demystifying Machine Learning and Artificial Intelligence
Guidance and use cases about how to get started with Machine Learning techniques
Buzzwords like Machine Learning (ML), Artificial Intelligence (AI), Big Data and Industry 4.0 are quite common these days and are regularly thrown at us in newspapers, magazines, TV and podcasts. But what do they really mean?
Definitions may vary, depending on whom you ask. Some of the statements are even sensational: Artificial intelligence (AI) and machine learning (ML) are sometimes demonized as “dark magic” that will soon wipe out hundreds of thousands of jobs. Really?
Seriously: No. In many cases, these buzzwords are just new paraphrases for tried-and-true programs and techniques but adapted to take advantage of higher data availability. For example, the supervised and unsupervised learning at the heart of Machine Learning relies on well-established statistical modeling techniques: regression, classification and clustering.
Both Machine Learning and Artificial Intelligence (AI) applications will provide critical support to make the most of available data that are generated at every level along the value chain – from R&D through to manufacturing and distribution. The clear goal is to drive more value for your organization.
When joining this high-level virtual panel discussion, you will find guidance and first-hand use cases about how to get started with Machine Learning techniques and effectively integrate them in your organizations’ processes.
May 14, 2020 | 10:30 – 12:00 CET
REGISTER TO ATTEND
Meet the speakers:
- David Meintrup, Ingolstadt University of Applied Sciences
- Bernard Ennis, Tata Steel
- Steve King, Rolls-Royce
- Teena Bonizzi, SABIC