Data & AI culture

Data & AI culture

Data is a major company asset. Mastering data collection, analysis and processing offers a major competitive advantage. Data is the main element to empower and drive Artificial Intelligence (AI).

Our Data and AI experts take into account the corporation’s culture to initiate, it’s organization to transform, the methods to develop and the tools to use in order to implement a data centric strategy driven by Artificial Intelligence. The main challenge is to transform data into value so as to provide service to the corporation and it’s customers.

Data & AI culture

Data and AI news

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Big Data, Machine Learning, Artificial Intelligence, DataOps/MLOps/AIOps, Open Data, what’s happened recently in the world of Data and AI?Our experts break downthe latest news and trends, analyze successes and failures and look at best practices for the success of your Data and AI projects.

Data & AI culture

Data Strategy

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The digitalization of society is generating an exponential growth in the production of data. But while the value of data is now unanimously recognized, it’s not possible to capitalize on it effectively  without a clearly defined strategy.Data has become a strategic asset with high added value for companies and organizations, and must be put to work to meet business challenges and objectives. A winning data strategy combines multiple axes: uses, ethics, data governance, organization, methodology, architecture,... The objective? To ensure that all the data collected is reliable and usable so that it can be used, shared and enhanced, for the benefit of customers and employees.

Data & AI culture

Data Trends

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Artificial Intelligence, Machine Learning, Deep Learning, Data Architecture, Self Service Data, Big Data, Data Governance or Open Data, what are the trends in these areas? What are the topics to follow in the Big Data universe?Reinvented professions, challenges to be taken up, "to be or not to be". For you, our experts will decipher the current topics, new uses and controversies in the world of (Big) Data.

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Digitalization

Digitalization

Digitalization has created an increasing number of new uses and is contributing to innovation. Digital transformation has become a necessity for companies and organizations.
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Data protection

Data protection

Data Protection has become a vital issue for companies in just a few years. Data is a strong source of growth and must be protected.
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Data Science / AI

Data Science / AI

Data Science leverages data and uses the most advanced technologies and algorithms to create knowledge and drive predictions.
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