1st Session: Modeling Natural Language for Data Protection: Predicting in Context

Recent research breakthroughs in natural language processing, together with advances in computational power, have enabled us to build machines that can automatically extract and retrieve the most relevant pieces of information from piles of unstructured texts.

This session will outline some of the NLP tasks and approaches that were used to build and deploy an AI system that detects sensitive information in enterprise scale. In predictive language solutions - from categorizing entire documents to extracting sensitive sentences or entities - the varying context of each sample is crucial. Yet, the encoding of context in ways that machines can interpret is still possible using sufficient labeled data and deep neural networks.

2nd Session: Chatbots & Voicebots

Chatbots & Voicebots allows us to communicate in the most natural way with machines - through conversation.

You can find bots today in many forms such as personal assistants (Google Assistant, Amazon Alexa), work/productivity bots and leisure bots.

In this lecture, we'll go through the architecture and main components in an AI-powered chatbot.

We'll also try to answer -

Are bots a revolution or overhyped?

What differentiates a "smart" bot from a "simple" bot?

Where do bots excel?

Who can join us?

This session is open for everybody that is interesting in natural language and chatbots. No prior knowledge is required. The sessions are not technical!

Schedule:

18:30 - Gathering and mingling

18:45 – Welcoming

18:50 – Lecture #1: Modeling Natural Language for Data Protection: Predicting in context

19:40 - Break

19:50 – Lecture #2: Chatbots & Voicebots

20:20 - Sayonara

About AI-BLOG:

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AI-Blog Community is about people that help each other to become more professional. It’s the place to learn and to share algorithms, methods and papers summaries between members.

www.ai-blog.co.il

About the lecturer (Adam Bali):

Adam leads the data science at NetApp Cloud Compliance team, and specializes in machine and deep learning for natural-language processing. Adam holds M.Sc. in mathematics from Bar-Ilan University.

About the lecturer (Amit Bendor):

Amit is a consultant in the fields of practical AI/ML, software architecture, Backend development, and CTO at Farmster - a marketplace for smallholder farmers and buyers.

Amit is co-hosting the successful podcast "Making Software", and writes in several publications including his personal blog - amitbend.com