We provide a comprehensive range of services, from data strategy and case studies to high-level recommendations and hands-on projects. Our team of recognized technical experts can help you make sense of a complex environment, pick the right technology for your problems, and conduct projects to put your organization on track to success.
We work closely with several technology vendors and develop in-house solutions. We have a strong focus on the meaning of data. We develop and help you implement processes for policies around data modeling, data governance, reference data, taxonomies, under a coherent strategy.
While we are fluent with concepts such as Data Fabric, Data Mesh, Semantic Layer, and Knowledge Graphs, we look at the fundamentals of your business and the specificities of data management in your organization. We conduct interviews and analyze information systems to pinpoint issues. We work with you to prioritize projects, either large or small.
We are based in New York City and are open for business across the world. Our previous clients include prestigious companies with a history of having the highest standards, and a culture of maximizing predictability when introducing change. We led successful projects with them resulting in improved data agility and streamlined processes enabling cost savings and technology leadership.
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BULLET POINT VERSIONOF THE ABOVE...
We are a leading data management and AI consulting firm with a proven track record of success.
We have a team of experienced professionals with a deep understanding of data management and AI.
We offer a comprehensive range of services, from data strategy and case studies to high-level recommendations and hands-on projects.
We are committed to helping our clients achieve their data management and AI goals.
We are confident that we can help you improve your data agility and streamline your processes, enabling cost savings and technology leadership.
Founder of The Data Chefs, François is also an associate professor at the University of Montpellier, a co-founder of The Knowledge Graph Conference. He has published several articles on artificial intelligence, deep learning, ontology engineering, linked data and knowledge graphs which have received many citations. François combines deep technical expertise with extensive knowledge of data systems in large organizations.