![]() If fans see someone performing exceptionally well in a match, they might rush to find out how that affects the player’s ranking. Spector said the OWL team values that fast turnaround time. It takes only around an hour for Watson to crunch an enormous volume of data every week. IBM will receive information about Overwatch League games directly from the OWL data center and feed that into Watson. The Power Rankings, which Spector said was the culmination of months of hard work between the two teams, will be updated after each week’s matches. AutoAI “simplifies the process of building an AI model,” according to Shelton. ![]() Although all of the stats have an impact on the Power Rankings, around 30 of them are heavily weighted and are the most significant in how teams are graded. The machine learning and AutoAI capabilities of IBM Watson Studio were then used to assign a weighting to each metric. By employing advanced analytics to figure out the correlations between the metrics and the outcome of a match, the team was able to figure out how each stat impacted whether a team won or lost. The Area 631 team first used IBM Cloud Pak for Data to aggregate, sort and prepare a massive volume of data for analysis. Those include everything from accuracy and healing rate to how quickly players build up their ultimate. The AI model analyzes more than 360 different stats from OWL matches. MORE FROM FORBES Overwatch League Fans Can Earn Free OWL Tokens By Watching 4K Streams On YouTube By Kris Holt IBM and OWL’s analyst team worked together to create Power Rankings with IBM Watson (to give its full name) in just two months. It’s an incubator-style initiative that brings together six experts - including data scientists, AI specialists and software developers - and gives them three months to come up with one solution. To build the AI model in time for the start of the 2021 season, IBM harnessed its Area 631 program. But this opportunity gives us the chance to show Overwatch fans what our tech can do." These are technologies that we use in other industries, like banking and airlines and retail. “What it becomes is a really powerful demonstration of what's possible with data and AI today. That's a very interesting challenge and one that IBM is absolutely thrilled about trying to tackle with the Overwatch League. “When you look at that from a numbers perspective, we're looking at, essentially, nearly two million data points in a given match that have to be processed from a statistics perspective. You have the 32 characters to choose from," Corey Shelton, an IBM digital strategist and the leader of IBM’s Overwatch League project, told me. “For the first time, heading into our fourth season, we'll have this ability for our fans, our broadcast talent and others interested in Overwatch League, to actually go and finally, definitely answer who's the best player in the world of Overwatch." "Every player in the league now gets an overall score,” Overwatch League VP Jon Spector told me last week. MORE FROM FORBES IBM Inks Its First-Ever Esports Deal With The Overwatch League By Kris Holt
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