Intelligence Artificielle : Aussi Pour Mon Entreprise ?
Découvrez lors de ce lunch comment l’IA peut aider votre entreprise à grandir à travers des témoignages, une session explicative et des pistes d’action.
Postacademische opleiding Big data (UGAIN – UGENT)
Deze opleiding is breed opgevat en behandelt de belangrijkste aspecten van vergaring, beheer, analyse en presentatie van data. Zo krijg je een totaalinzicht dat je beter in staat zal stellen om jouw Big Data efficiënt aan te wenden ten voordele van jouw onderneming. De aangeleerde technische inzichten worden aangevuld met een degelijk basisinzicht in de Europese General Data Protection Regulation (GDPR) dat in het bijzonder het juridisch kader vastlegt voor het aanwenden van Big Data. De opleiding is dusdanig opgevat dat deze toegankelijk is voor iedereen die ietwat vertrouwd is met informatica.
Mastercourse “Data Innovation beyond the Hype” – The industrial relevance of advanced AI/ML methods
The goal of this session is to give participants a better insight into the type of problems that can be tackled using machine-learning techniques, illustrated by several real-world examples from a diverse set of domains. Among others, the following machine-learning methodologies will be covered: Reinforcement learning, Deep learning, Evolutionary algorithms and Transfer learning.
For each method, its characteristics, advantages and disadvantages will be explained in more detail, as well as the most commonly used algorithm(s) to solve a particular industrial problem. The aim is to guide the participants in making a conscious choice for the appropriate technique in function of the problem setting at hand, as well as the available data (dimensionality, attribute types, etc.) and the expected model requirements (interpretability, accuracy, scalability, etc.).
Les nouveaux paradigmes de l’économie des données
Depuis quelques années, nous assistons à une progression fulgurante des résultats de l’IA et, en parallèle, une intense activité médiatique autour des promesses et des dangers de cette nouvelle technologie. Quelles sont les possibilités réelles de cette technologie? Quelles sont les nouvelles classes de problèmes que nous pouvons maintenant résoudre? Quelle est la fiabilité des prédictions que nous obtenons?
Data Science Louvain-la-Neuve, edition #5!
19h15 – TBA by Prof. Benoit Frénay (University of Namur)
20h15 – “Contaminant analysis: For a company in manufacturing, we have built a machine learning model to detect the type of contaminant detected on medical grade plastic using Xray images, photos, Infrared pictures as a source. The application is fully deployed in the cloud and is going into production now. (model integrated in an application that will be used by all lab technicians around the world). ” by Simon Dubrulle (Data scientist at Keyrus)
EluciDATA Brokerage – “Data and AI-driven Innovation”
In this second edition of the EluciDATA Brokerage – “Data and AI-driven Innovation”, you will have the opportunity to get an update on the current project proposals we have in preparation (AI ICON in Flanders, ECSEL at European level, Joint R&D project call in Brussels…) and to present your company and express your interest in the current project proposal(s) or propose new topics for future projects.
This event is one of the annual EluciDATA Community events. The Community aims at bringing together industrial stakeholders interested in Data innovation and AI, setting up new projects and informing/discussing about emerging technology trends.
The art of formulating a data science task
The goal of this session is to offer an overview of data science and its opportunities for innovation from an industrial point of view. By means of actual cases from current data innovation projects in several domains, the iterative and creative path from business understanding to data exploitation will be described by means of the different steps in the data science workflow. Particular attention will be given to the kind of challenges that can be tackled, and the data and skills that you need to have available in order to realise those challenges. Furthermore, some common beliefs about data analytics as a commodity are debunked.
DI Summit: AI – Beyond the Hype
The digital transformation is in full swing, and so is the Data Innovation Summit 2020 – diSummit2020 -. We are evolving from AI product and solution development to real-life implementations in all areas of life, e.g., industry, telecommunication, energy, finance, health, and government. Additionally, businesses and governments are working together on the essential requirements that AI systems have to meet to be trustworthy
