Steve recognises the "disruptive and pervasive" impact AI is already having on business: "AI is enabling companies to achieve improved operational efficiency, develop new and improved products and services, and most significantly entirely new business models. Universities are particularly well suited for interdisciplinary approaches that include multiple technical disciplines as well as the liberal arts, humanities, arts, and social sciences. "Data sharing agreements with appropriate protections for sensitive confidential information enable university data science researchers to develop practical algorithms using real-world data. Municipal, state, and national governments are working to improve accessibility and the democratization of data.

Automakers sought the NHTSA guidance in part because they fear a patchwork of state laws will slow or complicate deployment of self-driving cars. Some state lawmakers see the advent of autonomous cars as a way to attract technology companies and spur economic growth, and are proposing laws friendly to the technology. The Michigan legislature, for example, is considering bills that would allow the testing of self-driving cars without brakes or pedals on state roads. New York, on the other hand, has a longstanding law that requires drivers keep one hand on the wheel at all times, which undermines the rationale for self-driving technology.

Even though only 15% of the respondents think artificial intelligence is having a large impact on their business today. Forty-six percent believe AI will be critical to them within the next 40 months - that's a 207% predicted increase in business impact. Only 18% of digital leaders in our survey report bots are having a "large to very large" impact on their businesses today, but by year 2020, it jumps to 41%. Without the implementation of an OILS, your IT infrastructure will be too slow to operate today in an increasingly mobile world, and too slow to add the additional layers of AI, bot and predictive functionality for tomorrow.

BOULDER, Colo.--(BUSINESS WIRE)--Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets. Research reports include an in-depth examination of AI business models, use cases, technology issues, and key industry players in addition to detailed market sizing, segmentation, and forecasts. Tractica's Artificial Intelligence Advisory Service examines use cases and business models for the application of artificial intelligence technologies in enterprise, consumer, and government markets.

Next year, the Dutch city's Institute for Advanced Metropolitan Solutions (AMS) will start experimenting with an entire fleet of autonomous boats to haul people and goods while cleaning up the water. Obviously, using conventionally-designed boats to transport goods and people will be a major focus. Further, the Roboat fleet could track environmental conditions and comb the canals for waste, including the 12,000 bicycles that end up in the water every year. That extends to human waste, too, and testing it in the city's water systems could tip officials off to outbreaks of disease or other health trends, AMS' scientific director told The Verge.

Three-week old social network Gab.ai gains traction among alt-right users; has LAUNCH Ticker

A Chicago company called Narrative Science was among the first to give computers the power of the pen -- or keyboard. It's created a software called Quill. And, like anyone with a creative streak, automated writing software likes to stretch its artistic muscles. The best part is, this virtual reality and machine learning revolution will spark the investing trend of the decade ahead.

A new release out of the company reports, "Dataiku, the maker of the all-in-one predictive analytics software platform Dataiku Data Science Studio (DSS), has today announced the release of Dataiku DSS 3.1, which now enables transformations in Apache Spark's Scala, adds additional external integrations, an improved UX interface, and includes 5 machine learning engines in its visual analysis section. Dataiku DSS 3.1 introduces new visual machine learning engines that allow users to create incredibly powerful predictive applications within a code-free interface. Users of all skill levels can now leverage HPE Vertica machine learning, H2O Sparkling Water, MLlib, Scikit-Learn, and XGBoost directly from within the visual analysis section of Dataiku DSS 3.1 to apply powerful machine learning algorithms to their data science projects without having to write a single line of code."

FILE - This Aug. 29, 2016, file photo provided by Sharper Shape and SkySkopes shows a Sharper A6 drone before a test to fly over power lines in eastern North Dakota near Blanchard. The drone is specially designed for utility asset inspections. The drone is being tested as part of a project by Xcel Energy to see of unmanned aircraft can help crews restore power to areas hit by natural disasters. Officials with the company hope to be flying beyond visual line of sight by the end of the year.

Matthew Ramirez was teaching writing classes to students at the University of California at Berkeley when he started to get frustrated. Mixing his experience as a teacher with some advanced learning technology, he and his business partner started WriteLab – a Berkeley, California-based software company that helps students strengthen their writing skills by providing quick, customized feedback. WriteLab can even adapt its feedback over time to students' individual writing styles. "Focus on problems that eliminate waste – wasted time, wasted energy, or wasted space," Ramirez advises.