AI Live: No Experience Required
10 June 2020 | 18:00 to 20:00 | Microsoft Reactor London

This fast-paced, interactive and example-driven exploration will showcase the AI capabilities of the Wolfram Language. This presentation will demonstrate how sophisticated AI tools can be rapidly developed and deployed to extract new insights from your data and improve decision making.

This is a free workshop, but your registration is required to secure your space.

Program

  • 18:00—Registration and networking
  • 18:30—Talk
  • 19:30—Q&A and networking

Who Should Attend?

  • Data scientists, data analysts, technologists
  • Software developers, engineers
  • Anyone with an interest in artificial intelligence

About the Speaker

Mark Braithwaite, a Senior Technical Specialist at Wolfram Research, is responsible for developing AI and technical solutions for customer projects. Mark has built a reputation as an exciting speaker delivering livecoding demonstrations and data science and AI talks across Europe. He also develops technical content for our customer training programmes, including multiple courses about the application of Wolfram technology to data science and machine learning.

Company Intro

Best known for Mathematica and Wolfram|Alpha, Wolfram Research has been pioneering computational intelligence and scientific innovation for over three decades. Wolfram provides a highly integrated technology stack for multiparadigm data science, including the very latest methods in machine learning, computer vision, predictive analytics and automated reporting.

All of these applications, and many more, are unified by the Wolfram Language, a robust computational language with the largest integrated collection of algorithms ever assembled.

As well as providing technology, Wolfram's Technical Services group can lead or support your data projects from innovation to deployment.


Location

Address: The Microsoft Reactor London, 70 Wilson St, Finsbury, London, EC2A 2DB

If you have any questions, please contact events-europe@wolfram.com or call +44-(0)1993-885024.