Author: YES.2022

The global workforce of the 21st century is undergoing an unprecedented period of transformation. Artificial Intelligence (AI) is now at the core of our daily lives, influencing how we shop, communicate, and the nature of the work we do.
In a world where climate change and environmental degradation are escalating, and geopolitical issues shift unpredictably, the concept of ecological transition gains prominence. This transformative process, shaping public discourse and international policies, warrants exploration to grasp its full meaning and significance.
Many contemporary businesses are driven by knowledge. They base their operations, the products and services they offer, and, ultimately, their success on the competencies they possess and continuously acquire, validate, and update.
The constant growth of traffic and the need for more sophisticated and numerous devices make the management of telecommunications networks increasingly complex and costly. The rapid adoption of artificial intelligence (AI) becomes crucial in telecommunications to support networks and customers on a large scale.
In the realm of Artificial Intelligence (AI), the spotlight often gravitates towards Large Language Models (LLMs), chatbots, and Generative AI. However, the scope of AI extends far beyond these applications, encompassing invaluable techniques like machine learning, deep learning, and predictive modeling.
In the ever-evolving landscape of technology, artificial intelligence (AI) has become an integral part of various ecosystems. Despite its widespread adoption, there remains a challenge in fully harnessing its potential and enhancing its performance.
A few years ago, during the same period when I delved deeply into the realm of AI, Environmental, Social, and Governance (ESG) initiatives also appeared on my radar as compelling emerging topics. It became apparent rather quickly that this was no mere coincidence
Gruppo Ferrovie dello Stato Italiane is among the largest Italian companies. It operates in the railway transport sector and local public transport, as well as freight transport, through various group companies such as Trenitalia, ANAS, Mercitalia Rail.
Parte di un network internazionale, Valuement Group è una società di consulenza che ridisegna i processi aziendali dei suoi clienti in un’ottica data-driven. Opera da anni nel settore Retail, manifatturiero e dei Servizi Finanziari.
Che cos’è esattamente un Data Lake, come funziona, e soprattutto come va utilizzato in azienda per estrarre dai dati valore per il business?