DATA SCIENCE LIEGE MEETUP #15 - Online

David Vanden Abeele

David is a specialist in numerical analysis and parallel computing, with a PhD in statistical physics. He looks back on three decades of number crunching experience in industry, academia and the financial sector. He currently oversees risk modelling and data science projects at Credo's customers and is heavily involved in the development and roll-out of Credo's MLOps platform ‘YQ’.

Talk : MLOps – Data Science on Steroids
Most data-driven organizations make money not from a few fantastic AI models, but rather from the combination of many machine learning models and scripts that run continuously and require constant maintenance. Keeping tens or hundreds of such ‘machine learning products’ in the air only works if you are organized for it and supported by appropriate tooling.

MLOps, the Data Science equivalent of DevOps, offers a promising solution to these challenges.  This talk discusses the benefits and pitfalls of building and deploying machine learning products in an MLOps fashion, based on practical experiences in the financial sector.

Fabien Francis

Fabien Francis is a data scientist/data engineer/machine learning specialist with a multidisciplinary background in psychology and entrepreneurship. Through his education and experience, he has developed a good expertise with regard to the analysis and influence of consumers’ attitudes and behaviours, but also with the evaluation of user experience (UX).
Because he is very curious and persuaded that data is the foundation of great business decisions, he followed and finished a university certificate in junior data analyst which provides him with excellent analytics tools for effective analyses of data.

Talk : Quels sont les nouveaux services d’AWS qui vont accélérer l’utilisation de l’IA dans votre Business et faciliter la vie des Data Scientists ?
Amazon Web Services (AWS) a été nommée en 2020, leader du « Magic Quadrant for Cloud AI Developer Service» de Gartner.
Durant le mois décembre a eu lieu « L’événement » d’AWS », re:Invent 2020.
L'offre d'AWS répond aux besoins à la fois de ceux qui n'ont pas encore de compétences en ML et de ceux qui recherchent des fonctions avancées.
Ceux qui n'ont pas encore de compétences en ML peuvent utiliser des services d'IA préentrainés avec des API qui comprennent un large éventail de fonctions de vision, NLP, Speech To text, etc. Les développeurs et Data Scientists à la recherche de fonctions plus avancées peuvent utiliser la suite de ML complète de SageMaker.
Les annonces de nouveaux services de Machine learning ont fusé de toute part, et nous essayerons d’en ressortir l’essentiel pour vous.