IF-Invite Brunel

Interactive Brunel

Amsterdam, 11-10-2017  We are building several applications that use machine learning algorithms (especially deep learning) because it is the best solution for some problems that need external data. The recent boom with the Deep Learning hype and its unprecedented improvement in Speech Recognition, Translation, Image Recognition demand a deeper discussion around its software development. At what cost this happens? How does it differ from the regular software systems? What is the effect in your work as a developer? I will provide an overview of the subject, explain issues that may appear & start a discussion around DevOps, testing, Agile, ML & AI