The challenges posed by artificial intelligence are as great as its potential. As it shapes our professional and personal futures, it is one of the major issues of our time. To harness such power, new professions have emerged, such as that of artificial intelligence engineer.

Data refers to the digital information created by clients, consumers and members. The data engineer is the first to access and manage these datasets. Information, videos, photos, comments, questionnaires… Data processing is vital for supporting a company’s strategy and management. An immense resource when properly utilised, it is, of course, linked to artificial intelligence.

Data is now used by all sectors to guide their strategy, improve performance and gain a competitive edge. The data architect prepares the organisation to undertake a big data project. They creatively solve data-related problems, addressing technical challenges whilst driving growth objectives.

Whether internal or external, big data comprises a vast amount of information that needs to be managed. The data manager is responsible for this dense and rich source of data. Data refers to all the digital information collected on the web or other platforms… Today, it is essential for artificial intelligence, for managing a business and for developing its products and services.

‘The new black gold’ – the fuel of the digital economy – data has become a source of wealth for businesses that know how to process and capitalise on it. The business data analyst is responsible for determining how a company can utilise this data; they extract key indicators from it to improve the company’s overall strategy, operational processes, customer relations, marketing and more…

Data refers to all internal and external digital information available on the web. As a source of valuable market insights, it is essential for managing a business and developing its offerings.