Top 3 Ways Machine Learning Will Create Jobs
This new technology will only expand the possibilities of what entrepreneurs can do.
I remember watching the iconic movie Back to the Future as a kid, marvelling over what kinds of innovations the future would bring. Would cars really fly? Would hover boards replace skateboards? (I also had a crush on Michael J. Fox.) Only time would tell, and technology would transform the way we live, work and play.
To jump into the machine economy, as I previously noted, remaining agile is of the utmost concern for every company; 78 percent of businesses believe digital startups will pose a threat to their organization either now or in the future, and nearly half of global companies say they don’t know what their industry will look like in three years. Airbnb just started in 2008 and now has more rooms available than the Hilton, Marriott and Intercontinental combined through software, not real estate.
On a mission to prepare organizations for digital disruption, Dell in partnership with 20 luminaries gathered at the Institute for the Future (IFTF) in Silicon Valley to cast their minds into the future and consider what life might look like in 2030. They looked at what emerging technologies could solve some of the intractable problems. The think tank informed the seminal IFTF report “The Next Era of Human-Machine Partnerships.”
Among the attendees was Ian Bork, CEO of Luminate Health and a self-confessed startup junkie. It became clear that while Bork might be working out of his garage, he has the gumption, know-how and kit to bring “quantum customization” to healthcare. According to Bork, Luminate’s digital platform has the potential to change the way labs share test results, physicians relate with patients and patients understand their symptoms for the better.
Carolyn Rodz founded Alice, essentially Siri for entrepreneurs and small-business leaders. Its machine learning capabilities allow any founder to find resources they need to scale based on their stage of growth, industry and location. The idea is to allow the AI to predict the needs of founders, based on data collected from thousands of others in that same stage.
In the playground of the future, bright tech geniuses are forging and shaping our future partnerships with machines to break new ground in almost every aspect of our lives. The technology might evolve into “digital conductors” of our lives — seamlessly coordinating what we need before we need it — but human visionaries will set the score.
Thuc Vu, the brains behind a hyperlocal social app sold to Weeby.co in 2015 and the co-founder of OhmniLabs, which makes affordable home robots, thinks about how technology will power the world 10 years from now. He sees unbridled opportunity and a better world (water security, sustainable food).
