This standard contains specifications for training to become Big Data Practitioners, Big Data Engineers, Big Data Managers and Big Data…
Process, management and governance
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and…
Although the term “Big Data” has been used for several years, it continues to be associated with very different topics…
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard.…
The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated…
New IEEE Standard – Active. A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model,…
New IEEE Standard – Active. This standard can be applied to internet-based business scenarios, and can also be served serve…
This standard applies to road vehicles. Within its Normative portion, it defines a minimum set of reasonable assumptions and foreseeable…
Provided in this recommended practice is a comprehensive methodology for technology domain exploration, development of strategy, technology evaluation, implementation, management,…
Data has become one of the most important assets in ICT area. Secure multi-party computation plays a very important role…
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…
IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence
Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document…
