AI Night with Laurent Bugnion & Ari Bornstein

Are you going?

36 people going

Share:

Mirabeau

Paul van Vlissingenstraat 10C · Amsterdam

How to find us

There is enough (paid) parking space, and excellent public transport connections (Metro OverAmstel or Spaklerweg).

Location image of event venue

Details

Tonight we have 2 special guests from the Microsoft Cloud Advocate Team, Laurent Bugnion and Ari Bornstein, who can tell us all about AI.

Location
The event is hosted at the office of Mirabeau, a Cognizant Digital Business at the Kauwgomballenfabriek in Amsterdam. There is enough (paid) parking space, and excellent public transport connections (Metro OverAmstel or Spaklerweg).
Address: Paul van Vlissingenstraat 10C, Amsterdam.

Program:
18:00 - 19:00 - Inloop en eten
19:00 - 20:00 - Talk: Taking advantage of AI easily with Azure Cognitive Services
20:00 - 21:00 - Talk 2: Beyond word embeddings
21:00 - 21:30 - Borrel

Taking advantage of AI easily with Azure Cognitive Services

Data Science and Artificial Intelligence are fascinating areas of computing. Microsoft is betting a lot on these new technologies, but we are also aware that data scientists are highly trained professionals, and that not every software developer can create and maintain complex data models, perform linear algebra or purchase expensive GPU rigs to run these models. This is exactly why we created Cognitive services. This suite of services offers pre-trained models that you can use out-of-the-box to perform operations in Vision, Speech, Knowledge, Search and Language.

In this session, Laurent Bugnion, a Cloud Developer Advocate with Microsoft will show you how you can use cognitive services to enhance your applications with advanced capabilities, how you can refined the trained models with your own data and how you can integrate Cognitive Services with other Azure services to automate tasks.

------------------

Beyond word embeddings

Since the advent of word2vec, word embeddings have become a go to method for encapsulating distributional semantics in NLP applications. This presentation will review the strengths and weaknesses of using pre-trained word embeddings, and demonstrate how to incorporate more complex semantic representation schemes such as Semantic Role Labeling, Abstract Meaning Representation and Semantic Dependency Parsing in to your applications.