BS 10102-2:2020
Big data. Guidance on data-intensive projects
This part of BS 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including: a) defining…
Data processing
Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects…
Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…
ETSI TS 128 105
5G – Management and orchestration – Artificial Intelligence/ Machine Learning (AI/ML) management (3GPP TS 28.105 version 17.0.0 Release 17)
NEMA IOT P 2
A NEMA White Paper on Emerging Technologies and the Industrial Internet of Things and Their Applications
The NEMA 2018 IoTNOW webinar series was designed to learn about the IoT emerging trends that must be considered during…
Research and analysis item
AI barometer 2021
The CDEI’s AI Barometer is a major analysis of the most pressing opportunities, risks and governance challenges associated with AI…
Research and analysis item
Ethics of machine learning in children’s social care
Across the press, academia, and the worlds of policy and practice, concerns abound about the possible impacts of the growing…
Research and analysis item
Data justice in practice guides
The Data Justice in Practice Guides are a series of three guides for policymakers, impacted communities, and developers. The guides…
Research and analysis item
Advancing data justice
In 2021, the Global Partnership on AI chose The Alan Turing Institute to lead a project they had begun titled…
Research and analysis item
Good practice in training set preparation for marine navigation systems
Research and analysis item
Big data analytics need standards to thrive: what standards are and why they matter
With data now considered by some to be the “new oil,” civil society, industry and governments need to begin setting…
Research and analysis item
AI barometer 2020
The AI Barometer is an analysis of the most pressing opportunities, risks, and governance challenges associated with AI and data…
