Data & AI
You have a lot of data. Maybe you have a data lake, or you are just convinced that you could or should do something with data and Artificial Intelligence (AI)… but you don’t know where and how to start?
Do you have ideas that you want to test and/or industrialise? Do you want to verify the return on investment and feasibility of your AI initiatives? Do you want to build a coherent roadmap? Are you stuck in POCs and unable to industrialise? Do you want to transform your company into an innovative, data-driven company? You want to share data with your ecosystem and wish to build a data sharing policy ?
Eleven has significant experience thanks to numerous successful AI transformation assignments, from data exploitation strategy to large-scale transformation projects, including agile implementation of concrete cases.
Thanks to its unique combination of strategy and AI and our consultants at the cutting edge of data science, eleven can help you define and implement the most challenging and value-creating AI cases. Thanks to our past experience, our dedicated methodologies, our knowledge of the most recent AI algorithms and libraries, our hundreds of hours of training available, and the proprietary algorithms from our R&D, our consultants will help you carry out high-impact assignments in a very short period of time, guaranteeing a very high return on investment.
Technological expertise
From data acquisition to data processing and exposure, eleven has the ability to leverage both our internal capabilities and our ecosystem of technology partners to provide our customers with the solutions that meet their demands.
Generative AI
Transform your business thanks to generative AI, by industrialising concrete use cases with high value for your business. Our expertise in LLM and generative AI, backed up by a team of Data Scientists and AI experts, makes us the partner of choice.
Business expertise
Eleven has developed specific know-how in many areas so we can provide expert and concrete solutions to data science issues.
Data exploitation strategy
Implementing a data exploitation strategy is an essential step to allowing a group to structure itself and maximise the value created that data science creates.
Data science acceleration
Have you designed or selected use cases and are now looking to implement them? Do you already have a team, or are you just looking to test concepts?
Data governance
Among the many challenges that using artificial intelligence (AI) poses for companies, those related to data governance and algorithms are among the most important.
Data science industrialisation
Have you produced POCs but are having trouble industrialising them? Do you have a lot of data but find it difficult to organise them? Are your industrialisation cycles very long?