Artificial intelligence opens a new era for businesses. Yet, you must know where to create value, how to integrate it into your operations, and how to evolve it over time.
Generated brings together strategy, data, technology, and marketing expertise to imagine, design, and evolve artificial intelligence solutions that create a sustainable advantage.
Artificial intelligence doesn't just automate tasks or speed up processes. It redefines how businesses innovate, make decisions, and create value.
The boundaries between consulting, data, technology, and marketing are blurring to make way for a more integrated, agile, and ambitious approach to transformation.
The companies that will take full advantage of this revolution will not be those that simply use AI. They will be those that know how to make the right expertise work together to serve their challenges.
It is this conviction that gave birth to Generated.
Sources: Gartner, Forrester & O'Reilly studies on AI & Data.
Unstructured enterprise data
growth in generative ai demand
AI projects reaching production
Top priority for CDOs
T&S supports organizations across the entire data value chain, from governance and architecture to AI deployment and operational adoption.
Shape the vision, establish governance, structure the organization, and ensure long-term sustainability. Establishing data governance, data quality, and data usage frameworks, while improving services and processes through data and AI.
We design, optimize, and industrialize cloud platforms, pipelines, data warehouses, and data lakes, consolidating data across services, divisions, and the enterprise.
Harnessing data visualization and analytics to understand performance, steer operations, and support executive reporting. Business intelligence, dashboard industrialization and analytics environments leveraging market-leading technologies including Power BI, Tableau, Qlik and SAS
Building machine learning and AI models that drive operational efficiency and improve decision-making. LLM and Generative AI, Machine Learning, Deep Learning and predictive analytics supporting business optimization, recommendation engines, forecasting and advanced operational use cases.
GEO (Generative Engine Optimization) strategies designed for AI-driven search platforms, supporting predictive, contextual, and conversational SEO across Google SGE, Copilot, Perplexity, and ChatGPT. Data-driven customer segmentation, profiling, NLP analysis, recommendation engines and AI-enhanced performance management supporting marketing transformation initiatives.
Our Data & AI R&D incubator is CIR-certified (Research Tax Credit) and drives the development of the group’s innovative solutions, including our Data Quality AI platform.
Custom training programs supporting adoption of analytics and AI tools including Python, R, Power BI, Dataiku and Knime.
Data-driven approaches supporting environmental transition initiatives, operational optimization and sustainability performance monitoring.
A pragmatic, step-by-step approach: capitalize on what exists, deliver fast, and govern for the long term.
Data & IA landscape, maturity assessment, roadmap definition and business adoption support. Governance & Data Management : Organizational design and principles, key roles (CDO, Data Stewards, data owners), data quality policies, metadata management, data lineage, and data governance & master data management (MDM) tools.
Designing, optimizing, and industrializing cloud data platforms, data pipelines, data warehouses, and data lakes, while consolidating and unlocking value from data across the enterprise.
Deployment of tools (data catalog, data quality, MDM), ingestion pipelines, fine-grained access control, LDAP and e-Government integration, consent management, and audit logging.
Harnessing data visualization and analytics to understand data and effectively steer business performance.
Prioritizing high-impact data and AI use cases, rolling out solutions incrementally, measuring value, and fostering adoption and data culture among employees. Deployment automation, monitoring and scaling of AI models in production environments.
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