Webinar: Panel discussion: Industrial AI project opportunities and challenges by nnaisense

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Panel discussion: Industrial AI project opportunities and challenges

About

How to realize industrial AI opportunities in light of implementation challenges.

Presenters

Florian Trifterer

Senior Researcher at NNAISENSE

Florian has studied statistics and machine learning at LMU/TU Munich. He has over 15 years of experience in solving complex real-world problems in various domains using Machine Learning. He joined NNAISENSE in 2015 and works as a Senior Researcher, conceptualizing and implementing client solutions in problem settings such as anomaly detection, defect detection, prediction, process modeling, and sequential decision making.

Ralf Haller

EVP Sales & Marketing at NNAISENSE

With over 28 years of managerial experience in product, IT, business development, and marketing, Ralf is responsible for bringing many of the world’s leading big data, AI, and machine learning startups to international conferences in Europe. Having worked for five years as a product manager in Silicon Valley, he directly contributed to the building of the world's first gigabit and terabit routers. Before that, he spent four years in China during the years in which the country opened up to foreign investment from the West. Ralf holds an MA in electrical engineering and radio frequency technology from the Karlsruhe Institute of Technology (KIT) in Germany and a degree in data engineering from the UCSC.

Florian Gueldner

Research Director at ARC Advisory Group

Florian is part of the automation team at ARC covering manufacturing topics in Europe and is located in ARC's offices in Germany.

Joyce Weiner

Principal Engineer, AI Software Architecture at Intel Corporation

As a Lean expert and Data Scientist, she focuses on using data to drive change and improve efficiency. Joyce is currently working on projects to use AI to assist system designers, and to unlock insights from text fields in customer sighting data. Her book, “Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls” was published in 2021. Joyce has a BS in Physics from Rensselaer Polytechnic Institute, and an MS in Optical Sciences from the University of Arizona. She is married and in her free time enjoys drawing, calligraphy, and reading.

Kaytlin M Henderson

Digital Technology Lead Digital Operations Center at Dow, Inc.

Kaytlin is the Digital Technology Lead for Dow’s Digital Operations Center, a group focused on evaluating and developing digital tools for Dow’s manufacturing facilities. Kaytlin runs proof of concept and pilot projects focused on the digital thread, data connectivity, and cloud-native products. Kaytlin has previously worked as an engineer for one of Dow’s isocyanate plants and has also worked on modeling and optimization across many of Dow’s production facilities as part of her 10 years at Dow. Kaytlin received her B.S. in Chemical Engineering from Lafayette College and her Ph.D. in Chemical Engineering from Carnegie Mellon University.

Martin Szugat

Managing Director at Datentreiber

Data Thinker at Datentreiber | Program Director of Predictive Analytics World & Deep Learning World Europe | Lecturer at HWZ, Digital Product School & StackFuel | CDO at 42AI | Space Enthusiast on Acceleran.do

Yves Gorat Stommel

Deputy Head Function at Evonik Digital

Yves Gorat Stommel is currently the deputy head of the function Evonik Digital, as well as the head of the Cognitive Solutions team, with a strong focus on setting-up and implementing a comprehensive, company-wide Artificial Intelligence and data analysis strategy.

In his current function, Yves’ motivation stems from bringing together people, technology and positive change. By continuously questioning, improving and re-imagining operational and business processes – amongst others by looking at the company through the “lens” of enabling and disruptive technologies like Artificial Intelligence – value is created for both the company and its employees. This does not only require identifying, benchmarking and implementing best practices, but more importantly targeted communication, linking knowledge and an emphasis on global instead of local mindsets and approaches.

Through his international exposure as an expat (China and US) and through his work assignments, Yves has gained a deeper understanding of (and growing interest in) intercultural and international work environments. Yves holds both an engineering (Dipl.-Ing.) and PhD (Dr.-Ing.) degree from the University of Cottbus, Germany, as well as an MBA degree from the Euro*MBA Consortium.

Jürgen Käser

Director Process Applications at Voith Group

The start of the professional career as a global service engineer for process troubleshooting was a fast track to gather domain knowledge in industrial manufacturing. Most of the following roles concentrated in using the knowledge in a data driven approach for process optimization. Starting point were model predictive controls close to the automation system – optimizing cost efficiency in production by AI quality predictors including the closed loop control. The path of digitization was consequently followed towards cloud based solution packages including advanced AI applications. Development is driven from capturing the customer need, thru pilots until the delivery of a finished product to the operative Voith units.