NLP

It is known that big data holds the key to enterprise successes and that AI is going to replace humanity. Well, are we sure? While these claims may indeed capture some truth, they have also been massively oversold. The first part of the talk provides a qualified defense of the value of less data within the context of AI. We will discuss two problems for big data driven AI, namely a) the limited track record of DL in key areas such as NLP and b) the regulatory and business significance of being able to learn from few data points. In the second part of the talk, we will discuss what we call "A.I. with humans and for humans," namely an AI paradigm whereby the systems we build are privacy-oriented and focused on human-machine collaboration, not competition. Overall, we believe the future of AI is bright but we have to steer it in the right direction: less data, not more, and more humans, not less.

Who is this presentation for?
Anyone that wants to learn a better/more efficient way to work with data.

Prerequisite knowledge:
General knowledge of machine learning.

What you'll learn?
You learn that Deep Learning and Big Data are not a solution to everything - luckily enough, the field of A.I. is much richer and many incredible things are possible even with Small Data.