Thursday 6th August, 2015
9:10am to 10:00am
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon Machine Learning makes it easy to get predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
We will build an end-to-end social media listening application powered by ML technology. This application will continuously monitor all tweets that mention your company's Twitter handle, and predict whether or not your company's customer support team should reach out to the poster. By using a ML model as your first tier of support you can lower support costs and increase customer satisfaction. The same application integrates Amazon Machine Learning with Amazon Mechanical Turk, Amazon Kinesis, AWS Lambda, and Amazon Simple Notification Service (Amazon SNS).
General Manager at Amazon Machine Learning
Danny is a serial innovator of large-scale distributed software systems with significant breakthroughs in cloud-based Machine Learning, MapReduce, Mobile-to-Cloud architectures, Mobile Search, Distributed Speech Recognition, Mobile Agents, and Hypertext.
Highly motivated, self-starting individual who has contributed in both startups and large companies. Known as a skillful engineering leader who favors agile development with a strong drive for daily progress.
Founder of Vocomo Software in 2001. Vocomo technology platform acquried by Google in 2005. Vocomo customer base acquired by Voxeo same year.
Accomplished author and speaker; author of numerous patents.
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