19–20 June 2017

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EUROPEAN WOLFRAM TECHNOLOGY CONFERENCE 2017 19-20 June 2017| 9-6pm| Nemo museum Amsterdam

Pushing the Boundaries of Computation

Join the European Wolfram Technology Conference to explore how computation can empower you and your organization in research, development, deployment—and progress. Wolfram Research is a world leader in computation with technologies like Wolfram|One, Wolfram|Alpha, Wolfram Enterprise Private Cloud, the Computable Document Format (CDF), Mathematica and the core of them all: the Wolfram Language. This conference will showcase how you can unify your workflows with computation to deliver quicker and smarter results.

What to Expect

New technology

Wolfram is innovating at a breathtaking pace. Get up to speed on the latest applications of our cutting-edge technology, like cloud-based computation, machine learning, data science, interactive deployment and knowledge management. Find out what's next in tomorrow's computational technology.

Learning

Whatever the level of knowledge, this is the chance to learn and explore what Wolfram technology makes possible in a broad range of fields. See how Mathematica, CDF, SystemModeler, Wolfram Enterprise Private Cloud and others can make your organization more efficient, more effective and more informed.

Social

This is a great chance to meet those who develop this technology, as well as those who use it. With plenty of networking opportunities throughout the conference, you will not only come away with a comprehensive grasp on our technology, but will also be part of a thriving and dynamic community.

Topic Highlights

The conference will feature both introductory and expert sessions on all major technologies and many applications made possible with Wolfram technology.

  • Machine learning and neural networks
  • Deployment in the Wolfram Cloud
  • Computational finance
  • Enterprise computation strategies
  • Educational tools and courseware development
  • Enhanced visualization
  • Audio processing
  • Efficient numerical computation
  • Signal and image processing
  • Integrated workflows, from research to production
  • Computational application deployment and development
  • Finite element method
  • Computational geometry
  • System modeling and simulation
  • Analyzing and processing big data