The Artificial Intelligence Startup Battle where the jury is an algorithm keeps on traveling around the world! We are glad to announce our next stop: São Paulo, Brazil, on December 9, 2016. This will be the third edition of a series of very exciting battles, where five AI startups compete with each other and are judged by a Machine Learning algorithm, with no human involvement.
The world’s premiere Artificial Intelligence Startup Battle took place in Valencia, Spain, last March 2016, when Telefónica Open Future_ and BigML presented PreSeries to the world. The reaction of the audience was extremely positive! So much that the PreSeries team and Telefónica Open Future_ decided to continue with a series of battles spread worldwide. That is why we launched the second edition in Boston last October 12 at PAPIs ’16. But we still want more! This third time in São Paulo, Brazil.
Apply to compete!
The worldwide interest in Machine Learning makes Brazil’s economic capital São Paulo the perfect South American stop to organize the next AI Startup Battle. If your startup applies Artificial Intelligence and Machine Learning as a core component of your offering, we invite you to compete in the battle! Submit your application and if you are selected, you’ll be able to pitch on stage, make connections at the conference, and get unique exposure among a highly distinguished audience.
Five Artificial Intelligence startups will be selected to present their projects on stage on December 9 at the closing of the Brazilian Summer School in Machine Learning 2016. These five startups will be automatically judged by the Machine Learning algorithm of PreSeries that will predict the probability of success for each startup.
The winner of the battle will be invited to Telefónica Open Future_’s acceleration initiatives to enjoy the access to the Wayra Academy (up to six months) and to Wayra services and contacts, such as training, coaching, a global network of talent, as well as the opportunity to reach many Telefónica enterprises in Brazil and abroad. After six months the winning company will be evaluated and may apply to run for a full Wayra acceleration process, including up to a US $50,000 convertible note loan (versus a possible 7 to 10% equity). Microsoft will also contribute to the prize of the winning startup with US $120,000 in Microsoft Azure credits to be consumed in two years. The winner will receive a BizSpark Plus stamp, an upgrade of the Microsoft benefits for startups offered in Azure, access to its software platform, and the opportunity to connect with investors and other businesses.
- Artificial Intelligence Startup Battle.
- Friday, December 9, 2016 from 06:00 PM to 07:30 PM BRST.
- VIVO Auditorium (Telefónica Building). Av. Engenheiro Luís Carlos Berrini, 1376 – Brooklin, São Paulo – SP, 04571-000, Brazil.
- To apply to present at the battle, please fill out the application form before November 29.
The Machine Learning technology behind PreSeries
The battle is powered by PreSeries, a joint venture between Telefónica Open Future_ and BigML that uses a diverse set of public and private data about early stage startups to find patterns that help investors foresee which companies warrant a potential investment. PreSeries predictive models are built on top of BigML’s Machine Learning platform and facilitate agile data-driven decisions in combination with the worldwide funding experience of Telefónica Open Future_.
The AI Startup Battle will meet its select audience in a very innovative context, the Brazilian Summer School in Machine Learning 2016. This event is part of a series of Machine Learning courses organized by BigML in collaboration with VIVO and Telefónica Open Future_. Read this blog post for more details.
BSSML16 is a two-day course for industry practitioners, advanced undergraduates, as well as graduate students seeking a fast-paced, practical, and hands-on introduction to Machine Learning. The Summer School will also serve as the ideal introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.