The irruption of artificial intelligence, its well-known application and its progressive penetration in different markets is increasingly arousing the interest of companies that want to make a quantitative leap between digitalization and smart automatic models or systems.
Access to data is one of the main barriers to adopting artificial intelligence in the business environment. Third party data or ecosystem data usually needs to be accessed to optimise the outcome: companies do not want to share it if the privacy, confidentiality and sovereignty of the data shared with third parties is not guaranteed.
In massive collection and sensorisation, most of them are now considering (if they have not already done so) how to extract knowledge from that raw data and improve their processes.
It is important to have basic knowledge, such as the key to AI technologies, what objectives could be addressed, what requirements must be met, and good practices for carrying out a project. This will help minimize risk and maximize impact.
TARGET AUDIENCE
- Managers
- Heads of production
- Scientists
- Anyone interested in learning more about the possibilities of AI
REGISTRATION