![]() ![]() Programmers who want to learn new concepts that they can apply to their own coding Parents and teachers who are looking for a fun and easy way to make an intro to logical thinking, programming, and technologies for kids People who want to know more about how machine learning and related technologies work Now this coder (it’s you!) must learn all there is to know about machine learning and use visual programming to build a cat-to-human speech recognition system. In this game, you play as a coder who accidentally found out that their cat is extremely good at coding, but not as good at speaking human language. But most importantly, it’s about understanding your cat. Now’s the time to get ahead, be part of a dynamic new space in sport – and become a true game-changer.While True: learn() is a puzzle/simulation game about even more puzzling stuff: machine learning, neural networks, big data and AI. Possibilities for monetizing data before, during and after each event are boundless. Cybersecurity and confidentiality are mission-critical systems are therefore secure by design and compliant with data privacy regulations.Īll the technologies needed for this paradigm already exist. Seeing the stadium itself holistically in real time opens up new ways of thinking and vital new revenue streams from sponsorship, ticketing, merchandising. Securing possibilities that are boundless And when visitor data is enriched by capturing their emotions, this creates new ways to approach sponsors with opportunities for hyper-personalized campaigning. To make this new data monetization vision a reality, Atos is working with our own partner ecosystem, pioneering experiences that heighten fan enjoyment, and enable organizers to plan and manage events while growing monetization opportunities for themselves and their partners.Įmotion- and opinion-based gamification, such as live polling, in-app games, rewards and rankings, create meaningful real-time fan interactions that can be monetized. Gamification for live emotions and interactions Sports organizations can use and share data to drive cost-effectiveness and offer even more value to their partners and sponsors by enabling them to monetize their content and target advertising specific visitor segments, all via digital channels. Insights from data can inform highly targeted and personalized communications and marketing, between events and on the day through live campaigning and digital in-venue advertising. Visitors’ Wi-Fi experiences can be dramatically improved through enablement of one-click connectivity across all group-owned venues for a faster and easier experience. ![]() With 5G-enabled AI capabilities at the edge, stadia and sports organizations can gather real-time data about visitor demographics, such as age, gender, interests and behavior patterns, as well as getting their consent to marketing/communications. There are many other ways to leverage data within the stadium. Enhancing connectivity, cost-effectiveness, and in-stadia experiences A digital twin, as ‘3D supervisor’, can analyze crowd numbers and movement for cost-effective, efficient and secure space management. On match day, by aggregating live telecoms and other data feeds, including 5G-enabled AI computer vision capabilities (as well as GSM/Wi-Fi beacons), they can monitor events in real time and use this intelligence for strategic and operational planning. Using a digital twin of the stadium, they can simulate multiple crowd flow and assess impacts to ensure safety and security. Using mature smart building management technologies and private 5G networks, stadium operators can optimize logistics and crowd management, right through from initial planning through to real-time event monitoring. Let’s look first at the stadium operations and crowd management part of the lifecycle. Smart stadia operations: real-time safety monitoring ![]()
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