Beltug

AI and Machine Learning - a reality check (N-sight)


Date:19/11/2019
Time:12:30
Location:Roularta Conference Center, Zellik


 

Companies are finding it hard to grasp the tangible potential of Artificial Intelligence and Machine Learning, and to find ways to cash in on the opportunities.  The technology remains rather enigmatic.

 

Let's try to clear a bit of the haze, through a closer look at the reality of AI, including how to identify possible use cases within your organisation.

 

In this session, we’ll find out about AI and ML initiatives in business, public entities and academia. We’ll hear two real-life cases: on rolling out data mining and AI at FPS Finance, and on how SD Worx uses AI and big data to integrate new services. We’ll discover some specific ways to use machine learning to enhance digital experiences, from Dropsolid. And we’ll find out what the KU Leuven’s Declarative Languages and Artificial Intelligence (DTAI) research group has been working on in the area of industry.

 

*Beltug is offering Crowdbeamer streaming at our events, so that every participant can get the most from our speakers' expertise. Just download the free app, and then during the presentation you can see the current slide on your mobile device and annotate notes!

 

 


19/11/2019

 

12:30-18:00
 
Roularta Conference Centre
Z.1. Research Park 120
1731 Zellik


 

Agenda

 

12:30 Welcome coffee

 

13:00 Introduction

 

Ann Guinée, Communication Manager, Beltug (English)

 

13:15 Case: Towards an analytics-driven organisation at FPS Finance Belgium

 

The Belgian Federal Public Service Finance has already come a long way in applying data mining and AI to various domains and organisational processes. We'll hear about the FPS's strategic choices, the rollout and some innovative applications in risk management and policy information.

 

Dierk Op 't Eynde, Senior Advisor Strategic Support, FPS Finance and Board Member of the Royal Statistical Society of Belgium (Dutch)

 

14:00 Q&A: Your questions, your experience

 

14:15 How to use practical Machine Learning in improving the digital experience

 

Machine Learning can be exploited by IT to enhance the digital user experience of colleagues in the organisation. In this presentation, we’ll discover:

 

  • How to use Machine Learning to create traffic patterns on websites, portals and web applications that can be used to personalise the experience.
  • How to use Machine Learning to increase search relevancy and improve the search experience in your digital platforms

 

Nick Veenhof, CTO, Dropsolid (English)

 

14:45 Q&A: Your questions, your experience

 

15:00 Coffee break

 

15:30 Case: How AI helps us give value to our data

 

Within the vast data sets owned by companies today, are hidden the business opportunities for the future.  Companies that own such enormous sets of data have the unique potential to integrate this data into new services, in order to deploy new insights and gain an unprecedented, detailed view on data evolution.

 

During this exposé, we’ll hear about the explorations of HR company SD Worx into the world of AI and data.

 

Peter Van Ostaeyen, Manager Innovation & new technologies, SD Worx Group (English)

 

16:00 Q&A: Your questions, your experience

 

16:15 ML and AI: From research to application

 

Applying machine learning and artificial intelligence to real-world problems in industry involves opportunities, requirements and risks. This presentation will illustrate these points with recent use cases based on work performed in KU Leuven’s Declarative Languages and Artificial Intelligence (DTAI) research group.

 

Wannes Meert, Research Manager, Artificial Intelligence research group, KU Leuven (English)

 

16:45 Q&A: Your questions, your experience

 

17:00 Wrap up & Closing drink

 

18:00 End