Fintech firms are understandably wary of outsourcing data processing, but security measures exist to mitigate risk and maximize workflow efficiency.
Preparing data for machine learning is the most time-consuming part of machine learning. Here are a few tips for getting it right.
CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.
CloudFactory partner Scientia shares the AI opportunity and the importance of quality data for machine learning.
Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.
Azavea's mission is to create advanced geospatial technology and research for civic and social impact. They interviewed a handful of leading data labeling firms, and studiously ...
Deep learning platform MissingLink and the MIT Media Lab brought together AI innovators in Boston last month for a meetup about how AI is changing the world for the better.
Cloud workforce solutions and integrations with leading data labeling platforms support higher quality training data for machine learning.
Realizing AI’s potential benefits - and mitigating its challenges - will require collaboration. As partnerships form and critical questions arise across the globe in government, ...