The agenda for Stream Africa 2017 is in your hands. There are six session times a day, hosted in nine different meeting spaces. Each session runs for 1 hour (give or take) and all sessions are led by you, the Stream participants. Here's how it works:

  1. Before Stream - Share your idea - Create a New Discussion by clicking on the blue ‘add idea’ button on the left of this page
  2. Before Stream - Invite others to join you - you can see the participants list at the Participants page.
  3. At Stream - Book a slot - when you arrive on site, write your discussion on the Big Boards

The Stream team is on hand to help. Please get in touch if you'd like to talk an idea through before posting, or would like help finding some co-hosts.


Kieran Duggan


Artificial Intelligence: possibilities and limitations, a look inside the black box of machine learning

Advances in machine learning in recent years has improved how we are able to aggregate and derive value from big datasets, group data and identify pattens. How can these advances be made immediately useful to those of us with big datasets available? What are the possibilities now that we have made a large leap? What are the limitations we face in applying the state of the art in machine learning? What is inside the ML "blackbox"? Join as we explore how it works, what the possibilities are, where the limitations lie, and what it means for the world we live in.

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