DEEP-DIVING INTO AI & INDUSTRY 4.0
1. From Digital Agility to Digital Resilience
2. From Industry 4.0 to Industry 5.0
3. Generating Value with Data Analytics in Smart Manufacturing
Professor Robotics at Vrije Universiteit Brussel
Prof. dr. ir. Bram Vanderborght has a degree in Mechanical Engineering at the Vrije Universiteit Brussel. Since October 2009, he has been a professor at the VUB, where he teaches mechatronics and a robotics project. Besides, he coordinates the EU FET SHERO on self-healing soft robotics at Marie Curie ITN SMART. Bram’s research interests include cognitive and physical human-robot interaction, robot-assisted therapy, humanoids, and rehabilitation robotics with the core technology of using variable impedance actuators.
Global VP Intelligent Enterprise Solutions & AI at SAP
Marc is a serial corporate entrepreneur, responsible for vision and products that enable digital transformation of businesses around the world, through Innovation, Data Monetization, Artificial Intelligence and Machine Learning technologies. Prior to his current role at SAP, Marc was IBM Watson’s Chief Business Strategist, where he oversaw the new offerings portfolio for the Watson platform during IBM’s formative years of Artificial Intelligence. Marc is active in the startup community as an angel investor, mentor, and board member and has been an active participant of the World Government Summit’s Global Governance of AI Roundtable since its conception in 2018.
Technical Director Data Analytics EMEA at Altair
Marco’s specialization is applying data analytics to engineering and manufacturing processes for Altair’s Industry-leading clients. Throughout his career at Altair, he pioneered in using data-driven methodologies to improve product development processes. Since 2015 he lectures statistics to Automotive Master students at the University of Applied Sciences FH-Joanneum in Graz, Austria. Marco holds a Dipl.-Ing. (FH) degree in Aerospace Engineering.
AI undoubtedly has a revolutionary impact on all industries. The most critical component of Industry 4.0 is data, and AI is the enabling technology for that.
However, what do you do with it, what are you looking for, and what do you want to achieve?
It is essential to focus first on identifying your business problems and then, secondly, look at whether AI technology can help you solve it.