Virtual Data Innovation Summit * Full-Year 2021 Program

About

Welcome, we are organizing a Virtual DI Summit program instead of an in-person DI Summit. The theme of the full-year 2021 online edition is AI For Everyone. Our objective is to make AI accessible for everyone by showing practical AI-applications from a business- and a technical point of view. The program starts with a monthly webcast, including real-life AI cases and complemented by, e.g., blogs and podcasts.

Webcasts

Each monthly webcast starts with an inspiring keynote by an expert in, for example, FinTech, Manufacturing, Telco, Energy, Security, Data4Good, HealthTech, and more. Additionally, partners present a deep-dive into purposeful, real-life AI cases that give you insights into business problems, solutions, and technologies. The recording of every webcast is available for 12 months.

Data Collection

Data Access

Data Analysis

Data Reporting

Registration

AI & Manufacturing

Manufacturing is leading the way to apply artificial intelligence technology.

Finding new ways to create business value with industrial data is crucial for manufacturers to manage today’s data volume, velocity, and variety.

AI techniques assist manufacturers in unlocking new insights, e.g., detecting potential quality issues and improvement areas, reducing inefficient scrap and rework, and enhancing yield.

Moderator & Speakers - March 16

Ferdinand Casier

Business Group Leader Digital at Agoria

Ferdinand Casier holds an Executive Master in Management from the Solvay Business School. He has more than 20 years of experience in the digital industries.

In March 2013, he joined Agoria, the Belgian Federation for the technology industry, as Business Group Leader for the Digital. He has accelerated innovation in the data field through the EluciDATA project in collaboration with Sirris and DTAI (2014-2018). Besides, he developed several projects, including technologies such as IoT, cybersecurity, and information management.

Nowadays, Ferdinand is actively involved in implementing regional and national strategies to encourage AI adoption by companies and organizations. He is also the AI4Belgium Working Group Co-Lead for AI4Industry4.0.

Kaat Tastenhoye

Analytical Consultant
SAS

Kaat graduated in 2013 from the University in Leuven as a business engineer, master in production and logistics.

She started her career as a supply chain consultant where she did several different supply chain projects. In 2017, she joined SAS as an analytical consultant.

Sébastien Verhelst

Manufacturing Analytics Expert at SAS

Since 2018, Sébastien joined SAS with a background in industrial engineering (2011), global management (2012) and obtained lean six sigma black belt certification (2015).

The specialized engineering skills together with business expertise enables him to analyze, predict and optimize systems and processes in an international context. Before joining SAS, Sébastien started his career at DuPont Chemicals as demand planner.

Afterwards he initiated multiple projects to improve their forecasting performance by using SAS. He then moved to Qualivino, a family business, to run a business transformation project.

Leila Rebbouh

Head of Data Science & AI Solutions at NRB

Leila has broad career experience, from Corporate Research in Physics in Blue Chips like Toyota and Huntsman to Academical Research at the University of Manitoba. She participated in multiple high-tech projects.

Leila also has entrepreneurial experience as she founded her own company, LR Physics – LR Data Science, before Heading NRB’s Data Science & Artificial Intelligence Solutions team.