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Summary

The USTA has been working with IBM for over three decades to develop and deliver a world-class digital experience for the US Open tennis tournament. The experience includes the Match Insights with Watson, which uses data analytics and natural language processing to provide insights about each match. IBM Consulting also built a platform of innovation for the US Open, which uses hybrid cloud and AI to process structured and unstructured data and integrate technology from a variety of sources. The platform is also capable of automating the process of turning data into insight, and securing the digital environment. Finally, IBM Security QRadar software is used to assess the severity of security threats and the IBM Cloud Pak for Security solution's Threat Intelligence Insights provide recommendations to security analysts.

Q&As

How many tennis fans follow the US Open tournament globally?
More than 10 million tennis fans follow the US Open tournament globally.

How has the USTA partnered with IBM to improve the digital experience of the US Open?
The USTA has partnered with IBM for more than three decades to develop and deliver a world-class digital experience that constantly advances its features and functionality.

What is IBM Match Insights with Watson?
IBM Match Insights with Watson are AI-powered fact sheets that use sophisticated data analytics and natural language processing to distill millions of data points into meaningful insights about every singles match.

How does IBM Consulting use the IBM Garage Methodology to develop new capabilities for the US Open?
IBM Consulting uses the IBM Garage Methodology, a highly collaborative approach to co-creation, to develop new capabilities for the US Open.

What technologies are used to secure the US Open digital platform?
The US Open uses IBM Security QRadar software to assess the severity of each security event, and IBM Cloud Pak for Security's Threat Intelligence Insights to analyze millions of security blogs, articles and other material to provide recommendations to security analysts on how best to deal with the threat.

AI Comments

👍 This article is a great example of how the USTA and IBM have come together to create a powerful platform of innovation for the US Open that is driven by data and AI. The explainability feature is also a great way to break open the black box of AI and understand why a machine comes to a certain conclusion.

👎 Although the article does a good job of describing the data and AI capabilities of the US Open, the security measures mentioned are not detailed enough to provide readers with a comprehensive understanding of how the platform is kept secure.

AI Discussion

Me: It's about how the US Open tennis tournament uses IBM technology to provide a digital experience for millions of fans. IBM has been working with the USTA for over three decades to develop and deliver a world-class digital experience that is constantly evolving. IBM has developed an AI-powered platform that uses millions of data points to provide insights about every match. They are also using AI Explainability 360 to break open the black box of AI and share the reasoning behind their conclusions.

Friend: That's really impressive! It seems like technology is playing an increasingly important role in sports.

Me: Absolutely. Technology is becoming an integral part of how we experience sports. It's great that IBM is helping the US Open stay ahead of the curve and provide a cutting-edge experience for its fans. It's also interesting to see how AI and automation are being used to process and analyze data in order to provide insights that help viewers understand the game better.

Action items

Technical terms

USTA
United States Tennis Association - The national governing body for the sport of tennis in the US.
IBM iX
Experience design partner within IBM Consulting - A partner within IBM Consulting that helps create powerful platforms of innovation.
IBM Garage Methodology
A highly collaborative approach to co-creation - A process used to develop new capabilities every year that is highly collaborative and involves ideating, iterating, and adapting.
IBM Watson Natural Language Understanding
A tool used to assess the volume and sentiment of media commentary - A tool used to analyze the language and sentiment of millions of articles from hundreds of thousands of different sources.
Red Hat OpenShift
A containerized app running on Red Hat OpenShift - A platform used to integrate and orchestrate data and AI services.
IBM Security QRadar
Software used to assess the severity of each security event - Software used to evaluate threats and pass along only the most urgent issues to security analysts.
IBM Cloud Pak for Security
A solution used to provide recommendations to security analysts - A solution used to analyze millions of security blogs, articles, and other material to provide recommendations to security analysts.

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