Exploiting the data generated in the context of sensors, IoT and industrial environments remains a great challenge. It is estimated that today only 20% of industrial data has already been used. This amount of data needs to be valorized to be put at the service of research, citizens, and the advancement of the understanding of climate issues. This is why data plays a key role in digital transformation. It must be collected, stored, and processed. Because of their ability to deal with targeted and personalized information, IoT has become very present in our environment. Its place in our daily lives explains this scope: from the moment we wake up until late at night. Various categories of personnel data are generated by IoT: health data, geolocation data, financial data, sociodemographic data, biometric data, etc. Several standards govern IoT that are the source of unstructured data such as movement, gesture recognition, and biometric measurement, proximity; infrared luminosity; sound, and; smell. These standards include IEEE 802.11. Two technologies are helping to leverage this data and accelerate digital transformation: Artificial Intelligence (AI) and Blockchain.