What are the most effective data research collaboration approaches for artificial intelligence?
Data research collaboration is essential for advancing artificial intelligence (AI) projects and applications. However, sharing and integrating data from different sources and domains can pose various challenges, such as privacy, security, quality, and interoperability. How can you overcome these obstacles and collaborate effectively with other data researchers in AI? In this article, you will learn about some of the most effective data research collaboration approaches for AI, such as federated learning, differential privacy, data quality assessment, and data standardization.
-
Catia C. Terossi MoreiraDirector, Professional Services at Servicenow - We make the world of work, work better for people
-
Samantha Glover??“?? ?????? ???????? ???? ?????????? ????????????????.” CIO, Mathematician, AI Consultant, Research Scientist, Data…
-
Javier David Benitez fuentesConsultant Medical Oncologist ?? Hospital General Universitario de Elche, clinical researcher, with a special interest…