A recent article from the University of Waterloo, “Going top shelf with AI to better track hockey data,” highlights the growing role of artificial intelligence (AI) in sports analytics. Researchers are using AI tools to capture and analyze data from professional hockey games with increasing accuracy and speed. This is having “big implications for the business of sports,” with AI now capable of identifying teams with 97% accuracy and individual players at 83% accuracy. But while AI is transforming how sports data is collected, analyzed, and used, the need for tools that can bridge the gap between this raw data and compelling content is more important than ever. That’s where Dataclay’s Templater® comes in.
Sports video has become a crucial part of how teams analyze their performance and improve strategies.
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The AI Revolution in Sports
The significance of sports video in analyzing player movements cannot be overstated.
The article underscores how AI is revolutionizing sports analysis by automating the tracking of players and their movements, a task previously done manually and prone to human error. The AI system can watch a game, compile information, and produce accurate analyses and predictions. This allows for “generating data for multiple purposes,” such as helping coaches craft winning strategies and enabling team scouts to identify talented players.
Without proper tools, the insights from sports video can remain untapped.
Why AI Needs a “Glue” Solution Like Templater
While AI offers powerful capabilities, it often operates in a silo, generating data that needs to be translated into engaging, usable content. This is where Templater acts as a “glue” solution, bridging the gap between AI-generated data and the creation of compelling video content. Here’s how Templater enhances AI-driven workflows for sports organizations:
- Data Integration: Templater seamlessly integrates with various data sources, including those generated by AI models. This allows sports organizations to incorporate dynamic content such as player statistics, scores, and game highlights into their video projects.
- Automated Graphics: Templater enables the creation of customizable video templates that can be automatically populated with data from your chosen sources. This eliminates the need for manual data entry, reduces the risk of errors, and saves time. This is particularly useful for sports broadcasts, where real-time stats and graphics need to be updated quickly. For example, Templater can be used to generate dynamic lower-thirds for live event screens.
- Personalized Highlights: Templater can automatically create personalized highlight reels for sports athletes using data from AI systems. By linking Templater to the AI’s output, you can quickly generate a multitude of unique videos tailored to specific players or teams.
- Consistent Branding: Templater ensures consistent branding across all video content. Sports teams can maintain their identity by using pre-designed templates that adhere to specific colors, fonts, and logos, ensuring consistent graphics for game highlights and promotional material.
- Scalability: Templater can handle large volumes of data, making it easy to produce content for a wide range of games, players, and teams. Whether it’s for social media, broadcast, or internal analysis, Templater can scale to meet the needs of your organization.
- Logical Opportunities for Human Interaction: While AI can automate many aspects of the video creation process, human intervention is often needed to ensure quality and accuracy. Templater provides a streamlined way to insert logical opportunities for human input. For example, Templater’s Spot Checking feature allows users to quickly preview how data will merge, ensuring everything is correct before a full batch render15. And, as one study has shown, automated videos are often better received when they include post-automation human editing.
Examples of Templater in Action
The future of sports video looks bright as technology continues to evolve. Utilizing sports video data has become essential for modern teams.
Several sports organizations already use Templater to enhance their sports video content:
- Professional Teams: The Cleveland Cavaliers and Vancouver Whitecaps use Templater to quickly insert relevant data into player statistics found in highlight reels.
- University Athletics: Brigham Young University and Wichita State University use Templater for sharing sports statistics.
- Live Events: Organizations like SXSW use Templater to rapidly create lower-thirds overlays for screens during keynotes.
- Fan Engagement: Solive uses Templater to automate video used to create branded visual content to increase fan engagement and boost social audiences.
The Future of Sports Video
As AI continues to improve in accuracy and efficiency, the need for tools that can bridge the gap between AI-generated data and compelling content will only increase. Templater is uniquely positioned to help sports organizations make the most of this AI revolution. By acting as a “glue” solution, Templater empowers you to create personalized, dynamic, and engaging video content that enhances the fan experience, drives revenue, and improves athletic performance.
Don’t let your data sit in a spreadsheet. Use Templater to make it come to life in your videos.
Reference:
University of Waterloo. “Going top shelf with AI to better track hockey data.” 11 March 2024. https://uwaterloo.ca/news/media/going-top-shelf-ai-better-track-hockey-data.
