Menu
Machine learning algorithm to help VCs choose startups

Machine learning algorithm to help VCs choose startups

BigML and Telefónica Open Future create a "world first" algorithm

Machine learning API company, BigML, and Telefónica Open Future, the telecom’s global entrepreneurship and innovation network, have partnered to build an algorithm that helps venture capitalists decide which startups to invest in.

This is a world first, according to the companies, which will test their new algorithm through a startup battle event series.

Startups working in the predictive analytics space that are looking for early stage investment will be able to participate in competitions as part of the PAPIs CONNECT events and PAPIs conferences.

The new machine learning algorithm will automatically select the startup contestants and decide on a winner that’s best for one of the Telefónica Open Future funds to invest in.

The idea behind having a machine decide which startup to invest in is to avoid any human bias that goes into investment decisions and test whether an algorithm could make smarter investment decisions, BigML said.

In related news, BigML last month acquired a software tool from Australian company, G.I. Webb and Associates. The Magnum Opus software uses k-optimal (top-k) association discovery, meaning finding items in the data that are associated with one another. Geoff Webb, originally a research professor from Monash University, who developed the software, is now BigML’s technical advisor.

Join the CIO Australia group on LinkedIn. The group is open to CIOs, IT Directors, COOs, CTOs and senior IT managers.

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.

Tags startupsTelefónicamachine learningmachine learning APIsMagnum OpusTelefónica Open Future

More about Monash University

Show Comments
[]