How Machine Learning APIs are Being Used to Predict Startup Success

That's the question they will be looking to answer--for the first time in history--at next week's PAPIs AI Startup Battle in Valencia, Spain. If artificial intelligence has a continued track record of enhancing and advancing our decision-making skills, it presents itself as an interesting way to better determine which startups are safer to invest in. Telefonica Open Future has partnered with machine-learning platform provider BigML to extract historical data from the application programming interfaces or APIs of websites like Crunchbase and AngelList--it's proprietary so we can't know the exact secrets--and combined it with data like the LinkedIn profile of funders to find a quantifiable correlation among successful startups. The only requirement to be a part of this competition is that artificial intelligence is at the startup's core. But what makes the machine capable of accessing these analytics and what makes it easily available for both techie and layman is the predictive API that connects to that data.