You’re racing to the airport, unaware there’s a wreck on the highway ahead. Fortunately, an artificial intelligence-driven system in your vehicle is looking after you. The system automatically checks on your flight –still on schedule and determines your chances of making ti to the gate on time are slim. With your permission, it can proactively book an alternate flight.
“That’s the true virtual assistance in the future,” says Gartner vice president and fellow David Cearley. “Rather than having conversational interfaces respond to discrete things, it understands the context and can respond to (your) intent.”
Much has been said and written about the future of AI, and the role it will play –good and potentially bad– in practically everything consumer and businesses engage in. What pretty much everyone agrees on is that AI will make a profound difference through the next decade and beyond, during which we may see a further blurring between human and machine.
About a year ago, reseachers at Pew Research Center and Elon University’s Imagining the Internet Center asked the following: “By 2030, do you think it i most likely that advancing AI and related technology systems will enhance human capacities and empower them?” Of then nearly 1,000 technologists who weighed in, about two-thirds predicted most of us will be better off, with one-third thinking otherwise. And most expressed at least some concern over the long-term impact of AI on the “essential elements of being human”.
Almost no one disputes the fact that AI will continue to get smarter. Sriram Raghavan, who heads IBM Research AI, says that this year by combining learning with logic, AI will start to develop a “common sense” reasoning system, to help businesses deploy more conversational automated customer care and technical support tools. For his part, Jeff Loucks, executive directors of Deloitte’s Center for Technology, Media & Telecommunications, believes that within 10 years, AI-powered robots may help aging people remain in their homes. And, AI embedded in more smart devices will help all of us monitor our health and wellness.
For more on this article, please get a copy of today’s USA Today Jan. 22, 2020 or refer to this website -https://www.usatoday.com/story/tech/2020/01/02/where-ai-going-2020-useful-virtual-assistants-digital-versions-you/2634457001/.
Importance of Entrepreneurship Now
Entrepreneurship is needed NOW as a survival skill by those workers being displaced by automation, not just blue collar workers but now, because of artificial intelligence, white collar workers. AI has enabled cognitive thinking through repetitive patterns to allow “machines” to think for themselves and replaced repetitive think work. Thusfar, State Farm has replaced claims handling processors, MetLife underwriters, and all forms of cognitive computing such as finance, marketing, government and healthcare.
The world economy faces a massive disruption of labor. Jobs are going to machines at an alarming rate, and ramifications will alter everything we know about work. Three forces have been at work since 1990, but will soon go to warp speed. First is the Gig Economy, which is an environment in which temporary positions are common and organizations contract with independent workers. A study by Intuit predicted that by 2020, 40 percent of American workers would be independent contractors.
Second is the automation of anything that is repetitive and can be replaced by robotics; most automobiles are now made by robots. Third is the combination of Artificial Intelligence and Big Data. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions.
Because Big Data has been growing exponentially, AI and deep learning have much to work from. In 2013 SINTEF estimated that 90% of all information in the world had been created in the prior two years. Lots of data is exactly what machines need in order to learn to learn. Google’s DeepMind AI has learned how to read and comprehend what it reads through thousands of annotated news articles.
McKinsey research says that up to one-third of U. S. workers and 800 million globally could be displaced by 2030. They recommend businesses and policymakers act now to keep people employed. The single most impactful solution is to empower one and all with entrepreneurship whose innovative and creative skills can allow laborers to transit to self-employment (or to thrive as a freelancer in the Gig Economy).