Change Management e competenze a T
- Evoluzione del ruolo manageriale nello sport nell’era di AI e Blockchain
- Change management nelle organizzazioni sportive
- Impatto trasversale dell’innovazione tecnologica su marketing, finance, area tecnica, comunicazione e operations
- Mindset strategico e approccio metodologico alla trasformazione digitale
- Visione sistemica e capacità di integrazione interfunzionale
BLOCKCHAIN E WEB3 NELLO SPORT
Introduzione
- AI and Blockchain as a transformation of the Web3
- Context and applications in the sports industry, with a focus on soccer
Blockchain
- Definition and operation
- Data ownership and the Copernican revolution of ownership
- Smart contracts and practical applications in soccer (e.g., conditional contracts, secure transfers, image rights management)
- Use cases and impacts on trust, transparency, and decentralization
- Use cases and impacts on trust, transparency, and decentralization
- Enabling technologies: hash functions, asymmetric encryption
- Perceived problems in blockchain and solutions (e.g., Proof of Stake, Proto-Danksharding)
Digital Product Passport e Sport
- Sports product traceability and sustainability
- AI and blockchain interaction for certification of sports equipment
Web3 nello Sport
- Evolution of the decentralized Web
- Differences between Web2 and Web3 in the implementation of sports technologies (asset tokenization, NFT for ticketing and merchandising)
Esercitazioni e attività pratiche
- Discussion on trust and use of blockchain in sports business cases
- Practical case study: application of blockchain in soccer (e.g., smart contracts for transfers, GPS data notarization of athletes)
INTELLIGENZA ARTIFICIALE NELLO SPORT
Introduzione
- Historical context and public perception of technological innovation
- Digital Transformation and its costs in the sports industry
- Critics and obstacles in digital transformation
Costruzione e utilizzo di modelli IA nel calcio
- Data as the foundation of AI
- Problems related to incorrect or outdated data
- Computer and statistical tools (e.g., platforms such as KAMA Sport for data analysis)
Applicazioni pratiche dell’IA nel calcio e nello sport
- Analysis and optimization of athletes' performance using GPS data
- Training monitoring and workload
- Fatigue sensors and injury prevention
- IA for injury risk assessment and rehabilitation strategies
- Scouting area: performance analysis for talent selection
- Economic evaluation of athletes
Diritto informatico e regolamentazione
- Privacy policy and sports data management
- Social impacts of technology and the need for regulations
- Analysis of historical cases (e.g., Red Flag Act, GDPR applied to sports)
IA Generativa nello Sport
- Revolution and challenges brought by generative models
- Creating simulations for game strategies and athletic preparation
Futuro: Blockchain + IA nello Sport
- Synergies between technologies for content management and reliable data
- Regulatory initiatives for authentication and tracking of sports performance
Leadership strategica, dati e AI al centro della trasformazione sport-tech
- L’industria del calcio come ecosistema data-driven
- Costruzione di un’infrastruttura organizzativa abilitante per AI e innovazione
- Presupposti strategici, culturali e strutturali per l’integrazione efficace dell’AI nelle società sportive
- Creazione di valore manageriale attraverso la governance dei dati
- Il manager come motore di sviluppo e catalizzatore di innovazione
ASPETTI TECNICI E PRATICI
Introduzione al linguaggio Python per l’analisi dati sportivi
- Fundamentals of programming for sports (AI and Blockchain)
- Data analysis with Python libraries
- Creating basic smart-contracts in solidity
- Data visualization
LABORATORIO PRATICO E CASE STUDY FINALE
- Production of reporting through the Kama Sport platform
- Example of smart-contract creation for wallet, token minting and PoC of Digital Fan Passport
- GPS data analysis for training optimization
Modulo Giuridico
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Artificial intelligence between regulation and accountability: analysis of EU Regulation 2024/1689 - AI Act, with a focus on impacts in sports and federal contexts;
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Algorithmic governance and compliance in intelligent systems: legal tools for risk management, transparency, and fairness in automated decision making;
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Blockchain, smart contracts and sports asset tokenization: regulatory profiles and applications in digital business models, with a focus on traceability, certification and interoperability;
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AI ethics, fundamental rights, and ESG criteria: audit models and impact assessment of emerging technologies, with a focus on sustainability, inclusion, and accountability.
