UBER recently announced the acquisition of Machine Learning startup, Geometric Intelligence for an undisclosed amount.
This acquisition not only brings in the 15-person GI team, but more importantly, sets up the company’s future core development engine, Uber AI Labs. The infusion of top talent not only brings in fresh perspective, but a group of A-List intellectuals with most of the 15-member team possessing Phd’s and professorships.
Founded by a group of noted scientists and leading machine learning pioneers, the team at Geometric Intelligence is redefining the boundaries of machine learning through innovative, patent-pending techniques that learn more efficiently from less data.
Companies like Uber have been quietly building up capability and infrastructure for the next generation of consumer products and services, ones driven by consumers and less focused on closed apps.
Uber’s road to the promised land, the one with autonomous vehicles and algorithms capable of replacing today’s mishmash of self-employed app-dispatched drivers, isn’t quite here. , much advancement needs to be done not only on the Machine Learning side but also on the Autonomous driving end. Still, Uber’s other recent acquisition, Otto, a self-driving truck startup as well as the high-profile partnership with Volvo only serves to reinforce the notion that the future is an intelligent, interactive one.
Whatever the future brings, Uber is betting that Machine Learning and investments in AI will bear fruit, the emerging Bot Economy is proof of that understanding. The mission-critical urgency that AI, Machine Learning and Bot Automation cannot be more well-understood than in the C-Suites of today’s biggest Brands.
What is Coming?
Will Uber can power forward with it’s fleet of drivers long enough and profitably enough to make it to this land of promise? Will the future truly be a driverless automated wonderland of intuitive luxury?