Shows
Healthcare IT Today InterviewsObstacles to Healthcare Training Data Accuracy and How to Overcome ThemOne of the biggest problems with AI solutions in healthcare right now is getting quality data that you can use to train your AI models. When you train an AI model using generic data, it is like a child trying to teach another child. For the AI models to be effective, they require the highest quality data including meta data that helps the model to understand the context of the data. This is particularly true in healthcare which has extremely complex data models, superfluous data, and unique terminology.
The good news for healthcare IT companies is that there are...
2023-11-2028 min
Practical AIProduction data labeling workflowsIt’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!Featuring:Mark Christensen – Website, LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:Xelex.aiUpcoming Events: Register for upcoming webinars
2022-09-2731 min
Changelog Master FeedProduction data labeling workflows (Practical AI #195)It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!
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2022-09-2731 min
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