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Solution & expertise
To meet your scalability and traceability challenges, our experts will help you establish and translate your Data IA strategy into concrete actions along your organizational and governance process lines, in alignment with company policies and accessibility standards. We integrate practical and tactical approaches with customized tools to achieve efficient results.
Context & challenges
Regulations are continuously evolving; following the implementation of GDPR, ESG regulations and the AI Act are on the horizon. Companies must proactively anticipate these changes and leverage them as a competitive advantage for their organization.
Data is essential for any AI initiative, yet it's considered the number one cause of failure for these projects. Producing qualitative, contextualized, and well-documented insights is a top priority for building solid foundations. Both data and algorithms must be accessible and secure to facilitate their use.
To empower users as co-creators of new AI and Data products and services, companies must reorganize their structures and foster a culture of adaptation and integration within these emerging fields.
of Chief Data Officers estimate that they collect more information than they are able to leverage
71%
of IT decision-makers believe that data quality is the primary barrier to expanding AI usage
76%
of CIOs state that AI models will play a role in their organization's strategy in the next 5 years
98%
To define your strategy, promote a Data AI culture within your organization, and ensure the deployment of ethical and responsible AI in accordance with European regulations
Secure AI at scale by defining a strategy and governance tailored to your needs
AI Strategy and Governance