NIST: AI Bias Goes Way Beyond Data
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI
Security solutions that use continuous intelligence can derive real-time insights into cloud-native app security
Organizations working on digital twins have seen an improvement in key sales and operational metrics and an improvement in system
In this week's real-time analytics news: DataRobot enhanced its AI Cloud Platform, Union.ai released its open-source MLOps
Organizations recognize that they need a systematic approach to “operationalizing” AI in order to drive AI success.
An estimated 200 ecosystem partners will be at Snowflake Summit 2022. Here is a look at 27 of
Synthetic data can help train AI/ML applications in edge cases where it is difficult or dangerous to capture data in real
Computer vision efficiencies become especially important as AI applications migrate to operate mobile devices, drones, automobiles, and more.
The solution is an AI computing platform for medical devices that combines hardware systems and optimized libraries for data processing and
Cloud Data Insights is a community of experts for practitioners and data leaders looking to navigate the changing landscape of working with data in the