Have you always wanted to add predictive capabilities or conversational interfaces to your application, but haven’t been able to find the time or the right technology to get started?

Everybody wants to build smart apps, but only a few are Data Scientists.
This session will help you understand machine learning terminology & challenges.

We’ll use Amazon AI services to build conversational interfaces to your applications using voice and text; add image analysis to your applications; turn text into lifelike speech that you can store and play back; and build smart machine learning applications quickly and easily.

We’ll explore Apache MXNet, an open source, state of the art deep learning engine, which allows developers to build sophisticated, custom artificial intelligence systems. With MXNet developers have access to a fully-featured, flexibly-programmable and ultra-scalable deep learning framework supporting state-of-the-art deep models including convolutional neural networks (CNNs), and long short-term memory networks (LSTMs).

Demo foreseen.
This session will be in english.

About Danilo

Danilo works with startups and companies of any size to support their innovation.

In his role as Technical Evangelist at Amazon Web Services, he leverages his experience to help people bringing their ideas to life, focusing on event-driven programming and serverless architectures, and on the technical and business impact of mobile platforms and data analytics.