Milo Faccenda

Articoli dell'autore



<img width="768" height="512" src="https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/FashionAI-768x512.jpg" class="card-responsive-img fit-img" alt="AI eCommerce" decoding="async" loading="lazy" srcset="https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/FashionAI-768x512.jpg 768w, https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/FashionAI-300x200.jpg 300w, https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/FashionAI-1024x683.jpg 1024w" sizes="auto, (max-width: 768px) 100vw, 768px" data-eio="l" />
L'intelligenza artificiale nel fashion personalizza l'esperienza phygital della clientela
22 Giu 2021
di Milo Faccenda
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<img width="768" height="460" src="https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/CognitiveComputing-768x460.png" class="card-responsive-img fit-img" alt="machine learning supervisionato" decoding="async" loading="lazy" srcset="https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/CognitiveComputing-768x460.png 768w, https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/CognitiveComputing-300x180.png 300w, https://ai4business.dev1.digital360.it/wp-content/uploads/2017/08/CognitiveComputing.png 867w" sizes="auto, (max-width: 768px) 100vw, 768px" data-eio="l" />
Machine learning supervisionato: imparare dal passato per prevedere il futuro
14 Ott 2020
di Milo Faccenda
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<img width="640" height="426" src="https://ai4business.dev1.digital360.it/wp-content/uploads/2019/10/machine-learning-4129175_640.jpg" class="card-responsive-img fit-img" alt="anomalie machine learning" decoding="async" loading="lazy" srcset="https://ai4business.dev1.digital360.it/wp-content/uploads/2019/10/machine-learning-4129175_640.jpg 640w, https://ai4business.dev1.digital360.it/wp-content/uploads/2019/10/machine-learning-4129175_640-300x200.jpg 300w" sizes="auto, (max-width: 640px) 100vw, 640px" data-eio="l" />
People analytics: l’utilizzo del machine learning a supporto delle risorse umane
09 Set 2020
di Milo Faccenda
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<img width="768" height="432" src="https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100-768x432.jpg" class="card-responsive-img fit-img" alt="reinforcement learning" decoding="async" loading="lazy" srcset="https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100-768x432.jpg 768w, https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100-300x169.jpg 300w, https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100-1024x577.jpg 1024w, https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100-678x381.jpg 678w, https://ai4business.dev1.digital360.it/wp-content/uploads/2018/09/Machine-Learning-per-efficienza-dei-processi-di-business-e1661959520100.jpg 1980w" sizes="auto, (max-width: 768px) 100vw, 768px" data-eio="l" />
Il machine learning contro le frodi assuntive nelle assicurazioni
28 Ago 2020
di Milo Faccenda
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