Are you aware of your AI’s carbon footprint?Capgemini Invent has developed a tool that helps you measure and reduce the carbon footprint of your AI algorithms.Oct 18, 2021Oct 18, 2021
Hybrid Working: Data-driven approaches to make work worthwhile in remote organizationsHybrid Working: What is it and what are the benefits?Oct 19, 2020Oct 19, 2020
Episode VI: Use Case Management — Are agile principles applicable to data science projects?In the first episode of our blog series, we detailed how an AI Service Unit can build the baseline for scaling AI to the everyday life of…Oct 1, 2020Oct 1, 2020
Episode V: How to develop your pharma laboratory into an AI-driven research factoryIn our earlier blog article about AI service units we introduced the concept of establishing an AI service unit to scale AI successfully…Jul 14, 2020Jul 14, 2020
Published inThe StartupDifferential Privacy: Embedding Privacy Into Data UsagePrivacy violation cases are soaring and call for specific solutions: differential privacy embeds privacy constraints from the start.Jul 8, 2020Jul 8, 2020
Episode IV: 6 Dimensions of Scaling AIFrom AI prototypes to scaled AI benefits — how to overcome the gap and make AI big in your organizationJun 10, 2020Jun 10, 2020
Episode III: Data Catalogue — Creating transparency on available dataScaling AI — The hard truthApr 3, 2020Apr 3, 2020
Episode II: Increasing operational excellence with analytical data quality managementTraditional data quality management is unfit to meet today’s challengesMar 18, 2020Mar 18, 2020
Public sector in the age of AI: How to turn pile of papers into analytical assets?Paperwork and complicated hierarchies of Word documents – we often equate the public sector with the image of inefficiency. However, they…Feb 19, 2020Feb 19, 2020
Who are the Data Scientists working at Capgemini Invent?Interview with Ahmed BESBES — Senior Data Scientist at Capgemini InventFeb 11, 2020Feb 11, 2020