Telefónica Open Future_ (TOF_) and BigML are partnering to build the World’s First Automated Early Stage Investing Platform to help usher a new way of technology investing. To make this a reality, the alliance will take advantage of PAPIs conference events series as they offer the best platform to introduce new predictive applications to the world:
• In all future PAPIs CONNECT events as well as the annual PAPIs conference, there will be a new startup battle section devoted to best startups actively working on state-of-the-art predictive apps.
• Both the invited startups as well as the eventual winner will be automatically selected by TOF_and BigML’s new algorithm. The winning startup will be offered an investment by one the TOF_ funds thereby making PAPIs the world’s first event where an algorithm automatically selects the contestants and the winner.
“The race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.” – Professor Pedro Domingos of University of Washington
Not a day goes by without an important figure from the technology world acknowledging the immense potential of large-scale machine learning applications in virtually every industry. The award-winning researcher and scientist Professor Pedro Domingos of University of Washington recently mentioned “Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs.” He then went on to add “The race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.”
Machine learning’s impending impact on jobs that so far were considered exclusive to highly skilled humans will likely remain a controversial yet unavoidable topic for the foreseeable future. Take for example Early Stage Startup Investing. Silicon Valley venture capitalists have had a big hand in funding startups that are strategically leveraging machine learning to…
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