Keeping fans and the media updated on the Bundesliga's star players is a key strategy in helping to build and improve the league's brand and reach. Humans and machines are now working together closely to further improve player profiles: Every player in the Bundesliga will have an online profile on the league's website and app, with biographical facts such as their nationality, birthday and age as well as information on their career and most recent matches. These machine-generated profiles are created by a Natural Language Processing (NLP) engine and are updated automatically after every matchday to provide the latest details about a player's performance. Due to the extent of standardised information, artificial intelligence (AI) can carry out this task far more quickly than any human editor could manage, given the sheer volume of data to be processed: 18 teams, each with a matchday squad of 18 players, for a total of 324 profiles. Nevertheless, cooperation between humans and machines is vital to ensure that the whole process runs smoothly.

Fears of the rise of robots swooping in to steal jobs abound, stoked by the confluence of artificial intelligence, machine learning and other technologies that automate routine tasks traditionally performed by humans. The reality is that job replacement will happen more gradually than the media headlines suggest, and eventually AI will create more jobs than it eliminates, say Gartner researchers. "I try to step back and wait for the boomerang because there always will be one," says Gartner analyst Craig Roth, of the hype surrounding job cannibalization via automation.

Fears of the rise of robots swooping in to steal jobs abound, stoked by the confluence of artificial intelligence, machine learning and other technologies that automate routine tasks traditionally performed by humans. The reality is that job replacement will happen more gradually than the media headlines suggest, and eventually AI will create more jobs than it eliminates, say Gartner researchers. "I try to step back and wait for the boomerang because there always will be one," says Gartner analyst Craig Roth, of the hype surrounding job cannibalization via automation. "Once it goes too far to one side, people wake up and realize, 'you know, maybe it's not that bad.'" Make no mistake, AI and robotics will have a profound impact on the job market long term.

Fears of the rise of robots swooping in to steal jobs abound, stoked by the confluence of artificial intelligence, machine learning and other technologies that automate routine tasks traditionally performed by humans. The reality is that job replacement will happen more gradually than the media headlines suggest, and eventually AI will create more jobs than it eliminates, say Gartner researchers. "I try to step back and wait for the boomerang because there always will be one," says Gartner analyst Craig Roth, of the hype surrounding job cannibalization via automation. "Once it goes too far to one side, people wake up and realize, 'you know, maybe it's not that bad.'" Make no mistake, AI and robotics will have a profound impact on the job market long term.

Registration has just opened up for an all new US 5 million XPrize, this time focusing on getting humans collaborating better with artificial intelligence to solve major global issues. Unlike previous competitions, this XPrize, sponsored by IBM's Watson division, doesn't feature a set of pre-determined goals, but instead challenges teams to come up with their own. You might be familiar with XPrize from its ongoing Google Lunar effort, which is seeing small teams from around the world compete to successfully land a robot on the Moon. It's a seriously ambitious project, and one that has seen rivals team up in the hope of winning out against the competition. This new project is totally different to the Lunar XPrize, but it's no less ambitious.