AI in practice, business cases
The promises of artificial intelligence are impressive: when employed adequately, AI can make production processes leaner and faster, and organisations more efficient. As the AI Revolution gains speed, more and more organisations are looking to hop on the wagon and implement AI-technologies or increase the number of existing AI-applications. But what exactly is already possible? How far do some of the leading companies in Flanders stand with regard to AI?
Practical information:
Georganiseerd door:
Program
Melexis – 11 March 2022
Anomaly detection: challenges and solutions in a high volume, zero tolerance production environment
Anomaly detection is a well established application of machine learning. Unsupervised learning algorithms, for example, can be powerful outlier detectors. When faced with extremely unbalanced datasets and high feature counts, however, a straightforward implementation of these algorithms leads to inadequate performance. Kristof Coddens will review some cases that show how careful feature engineering and data preprocessing can help to overcome the challenges and lead to compelling results.
VDAB – 18 March 2022
Upgrading the digital orientation tool Orient with Machine Learning
VDAB employed Machine Learning techniques to improve its classic orientation test.
In this webinar, VDAB’s AI Project Leader Michael De Blauwe will showcase how AI was used to meet the business requirements for changing the existing old Orient (e.g. making it smarter, shorter, easier to use, easier to maintain and in sync with the labor market).
Televic – 25 March 2022
Speech to text in trains
In public transport, it is crucially important for passengers to understand what was announced by the conductor or driver. However, for the average passenger this is often not the case, due to background noise, distractions or unfamiliarity with the local accent or language. A solution to this problem is to not only present the announcement acoustically but also textually. In this class, Steven Lauwereins and Bert Aelter from Televic GSP will talk about how the company developed an accurate solution capable of near-perfect transcription of these complex but important words.
ML²GROW – 1 April 2022
Unlocking the next wave of intelligent devices
Running AI processes on individual devices rather than in the cloud eliminates many issues with privacy & GDPR, cybersecurity and hosting issues. When combining the edge with the power of efficient computer vision models, many new opportunities for AI emerge that previously were impossible. Kevin D’Hooge will discuss the challenges that need to be overcome to bring computer vision to the edge; equipment cost, limited computing power, privacy by design, etc.
Perhaps you are curious to hear first hand how companies deal with AI-related challenges and opportunities. Or you would like to hear the stories of AI-professionals in order to get a clearer idea of what is possible today, and what is not. In this series of inspirational talks, you will be offered a glimpse behind the scenes of leading companies and their current AI-projects.
Teachers / speakers
Michael De Blauwe
Experienced Project Lead with a demonstrated history of working in the government administration industry. Skilled in Operations Management, Coaching, Government, Organizational Development, and Change Management. Strong program and project management professional with a master focused in Criminology from KU Leuven.
Steven Lauwereins
Research Lead at Televic Rail.
Bert Aelter
General Manager Western Europe at Televic GSP
Kevin D'hooge
As a technology strategist, Kevin D’hooge guides companies and organisations in their journey towards becoming future-proof, data-driven organisations. He offers interactive workshops to, for example, refine strategic insights; discover data and AI opportunities; stimulate advanced, data-driven decision-making at all levels.
Related courses
Artificial Intelligence in Business and Industry
Postgraduate - Kortrijk - KU Leuven, PUC - KU Leuven Continue, VAIA