The idea of autonomous robotic cars have always held a special place in sci-fi culture. Technology is now catching up. In 2009 many luxury brands began introducing assisted cruise control and adaptive lane change software built with endless reams of modelling data. More recently Tesla used big data and artificial intelligence to launch its Autopilot feature. Nvidia and Alphabet use artificial intelligence to build detailed real-time maps their test vehicles use to see the world.
As someone who watches technology trends closely as part of my business, I have been thinking about the future impact of all the technology innovations and automation we are currently experiencing and on the cusp of achieving. Many of the headlines I read about these trends -- and even some I write -- predict some pretty negative consequences right along with the monumental achievements and improvements. While improvements in machine learning, artificial intelligence, big data, and robot automation could mean huge advances in medicine, science, commerce and human understanding, it's also undeniable that there will be consequences as well. These technological advances represent a significant challenge to capitalism. Together, they are poised to potentially create jobless growth and the paradox of an exponentially growing number of products, manufactured more and more efficiently, but with rising unemployment and underemployment, falling real wages and stagnant living standards.
IBM delivers cognitive computing to healthcare and weather forecasting. Google launches a new machine learning research center. GE uses machine learning to restore a power plant in Northern Italy. Microsoft acquires one of the big contributors to big data open source software. Those are the highlights of this week's Big Data Roundup.
This company has developed a new anti-cancer drug (against pancreatic, breast, liver or brain cancer) called BPM 31510, which has been discovered by an algorithm. The major technology companies are using millions of people data to find treatments. In addition to the start-ups, all major technology companies have already begun to apply Big Data and artificial intelligence to the service of health. Big Data and artificial intelligence, combined with genetic analysis, allow researchers to search for and find patterns among patients with rare diseases, who may be separated by distance but carry the same mutation.