CASE STUDY
angles , game and tracking data , and merging them together on the VAST Data Platform at the arenas . This opens up new possibilities for creating and distributing more engaging and innovative content for fans .”
Outcome
The NHL ’ s work with VAST has also been critical in preserving the League ’ s rich history . As Grant Nodine said : “ We ’ ve taken it very seriously making sure that our history is safeguarded . It ’ s important , our archive is a huge asset for us .”
The migration from LTO tape to the VAST Data Platform has not only safeguarded historical game footage but also enabled the NHL to explore and leverage those assets in new ways .
By having all their archival data readily accessible on a single data platform , the NHL can now run AIdriven discovery tools on its assets – creating new opportunities to uncover gems from its history .
The NHL is now exploring how the VAST DataBase and DataEngine can further enhance NHL operations , particularly through AI and machine learning . AI models will be used to automate the process of tagging and enriching footage with metadata . This involves tasks such as recognizing key moments in games , identifying players , and detecting logos or specific events . Traditionally , this process would require manual logging , but with AI , it becomes automated and scalable for all footage . This automated metadata tagging allows the NHL to make its footage more discoverable and accessible to editors and producers . “ We have quite a bit of metadata already . We can now improve upon metadata capture because there have been a bunch of generational jumps lately that unlock tagging capabilities which didn ’ t exist before ,” points out Nodine .
Nodine envisions using VAST ’ s DataEngine to continuously collect metadata in near real-time as game footage is captured , making the entire process more efficient .
“ Being able to push AI discovery down into the data tier means that we don ’ t need an additional asset management system ,” he said .
As the League looks ahead , it is clear that VAST will continue to play a pivotal role in helping the NHL innovate , safeguard its history and provide fans with unique , cutting-edge content experiences .
Jeff Denworth , Co-Founder , VAST Data , said : “ If data is the fuel of AI , the sports media industry holds the keys to one of the world ’ s greatest reserves , with the potential to unlock opportunities to analyze and enhance player performance , create new content that elevates the fan experience , and streamline the business of sports broadcasting .” p
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