The demand for AI-enabled applications that deliver increasingly refined results is driving the need for high-quality annotated data to train AI
Topic: Machine learning
The latest approaches using machine learning and artificial intelligence in business, Internet of Things, and the medical industry.
Infrastructure spending specifically to train machine learning models has grown more than 50 percent year-to-year over the past two
Using AI, researchers and executives can evaluate which areas of study have the best chance of translating to clinical trials.
AI research at US agencies includes work on autonomous systems, predictive maintenance, smart cities technology, and
MLOps, like its counterpart DevOps, focuses on building and maintaining the machine learning pipeline across all the different stages in the lifecycle of AI …
As organizations attempt to create new digital services that drive additional revenues, many of them are realizing existing approaches to data management no …
AI is unlikely to replace a human clinician anytime soon. However, it may help with synthesizing and collecting patient data.
The combined solution speeds up customized BI visualizations of operational data for improved insights.
Data quality. Integration. Governance. DIG?
Ignoring analytics basics is a route to ruin, warns a veteran Silicon Valley CTO. For more advice on AI success, read on.