On New Year's Eve 2019 at 10:00 AM EST, an artificial intelligence algorithm sent a warning out to medical professionals around the globe about a severe respiratory infection affecting Wuhan, China
"In addition to identifying the source of the outbreak, it then used global airline ticketing data to correctly predict that the virus would likely spread to Seoul, Bangkok, Taipei, and Tokyo.
By scouring vast amounts of data including public bulletins, airline travel data, government documents, news reports, and other sources, the AI, developed by Canadian tech firm BlueDot, was able to identify the outbreak of the Wuhan coronavirus before any other organization and issue a warning to health agencies around the world.
The World Health Organization, by comparison, didn't issue their warning to the public until nine days later..."
The convergence of machine learning and business intelligence is upon us, as BI tool makers increasingly are exposing ML capabilities to users, and users are performing ML activities in their BI tools
"That's according to the latest Gartner report on analytics and BI tools, which was released this week.
In its February 11 Magic Quadrant for Analytics and Business Intelligence (ABI) Platforms, the storied Stamford, Connecticut analyst firm did its best to quantify and qualify the trends in the sector. While BI and ML have largely existed on parallel tracks, with BI seeking to report what happened and ML seeking to predict what will happen, Gartner sees the two disciplines converging, at least as far as the toolsets are concerned..."
Data analytics is shaping business today
"As more information and processes take on a digital format, tools like business intelligence (BI) have become increasingly valuable. Proper integration of these technologies can give your company an edge over the competition.
Despite its many benefits, BI comes with its fair share of disadvantages. You'd expect as much with any developing technology, but there are only so many issues you can deal with before something isn't worth the investment. If you're to use BI successfully, you'll have to know what obstacles to expect.
Here are five common problems with BI and how you can avoid them..."
See all Archived IT - BI articles
See all articles from this issue