Tennis game ibm

Open -- to test out Coach Advisor, using them to understand how best to introduce the program to players to the best effect. The plan is to roll it out to more players, largely through the USTA's player development work. Otherwise, for non-American players and those outside of the USTA's purview, high-level scouting and analysis of any kind on both your own playing and that of other players can be pricey, stretching up from five to six figures for those who can afford it.

With that, the program stresses a long-held issue in the sport: unless you're a highly ranked player, tennis -- and the newest assets to improve your game -- can be financially inaccessible without institutional support. And in an age where the top players are older and matches can get longer even with new tiebreak rules -- consider July's Wimbledon final between Novak Djokovic, 32, and Roger Federer, 38, which stretched on for five hours -- the strategic use of energy can be a game-changer.

As David Ramos, manager of coaching education and performance at USTA, explained to reporters: The player and their team can use Coach Advisor to evaluate "are they taking enough time between points, are they managing changeovers, how are they doing in between matches in terms of basically getting themselves ready to play? It's one more example of the ways technology has the potential to change sports, all in a time when athletes don't just have new technology and advanced statistics in front of them, but actively utilize those tools to improve their game.

We really believe that. The IBM Power Rankings Leaderboard will be first posted on the Friday before the tournament, and then will be updated daily during the tournament. Match Insights with Watson : Match Insights with Watson uses Watson Discovery to create AI-generated fact sheets to help fans quickly get up to speed ahead of every singles match during the tournament. First launched in , Match Insights with Watson is enhanced with updated features including "In the Media," to extract key insights about each player from news sources, and "By the Numbers," which uses natural language generation NLG to translate historical statistics into sentences and then uses IBM Decision Optimization for Watson Studio to help select which insights to display to fans.

These are the same technologies IBM is using to digitally transform clients in a variety of industries around the world. US Open Fantasy Tennis, the first-ever fantasy experience for this tennis Grand Slam, gives sports fans the opportunity to create a fantasy team of tennis pros that they can follow throughout the two-week tournament.

US Open Fantasy Tennis will be enriched with Match Insights to help users make the most informed fantasy selections for their teams. Match Insights will be available within the US Open Fantasy Tennis interface to help users select a fantasy roster of four men and four women. The data from IBM Power Rankings and Match Insights will change throughout the tournament, giving users a chance to reevaluate their roster during the pre-determined redemption period, before the fourth round of the tournament.

In the game, US Open Fantasy players will receive points every time their selected tennis players win a match pts , serve an ace two pts each , and break a serve five pts each. IBM designs and develops the US Open app and website, including fan experiences that help engage with fans globally throughout the tournament. Similar to previous years, the US Open's digital properties run on a combination of on-premises, public, and private clouds, and pull from a variety of data sources and APIs.

IBM uses this hybrid cloud approach to collect, integrate, and distribute data and applications across multiple clouds while seamlessly handling a variety of different workloads.

The flexibility of the cloud allows for rapid innovation each year, as the IBM developers building these solutions are able to write code for new features once, and deploy them in the many USTA environments. As experiences have increasingly shifted online during the pandemic, a hybrid cloud architecture gave the US Open's digital operation the flexibility it needed for ongoing remote work while maintaining productivity and certified to the highest commercial level of data security 2.

Due to the ongoing pandemic and lessons learned from the US Open, the tournament's digital and content teams are operating with a combination of on and off-site team members. A hybrid cloud architecture enables remote operations to function with resiliency, scalability and speed.

August Level 4 is the highest level of commercial security. Shopify rolled out new algorithms in mid-December that resulted in several updates. In addition to minor changes to image requirements, it also included significant modifications to how the platform recommends apps that help fill out Shopify's robust ecosystem. Many developers pay for advertising to drive traffic to their apps in Shopify's App Store. ET in response to a couple of negative news items.

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