AI Today Podcast: AI Failure Series- Data Quality Issues
AI Today Podcast10 Marras 2021

AI Today Podcast: AI Failure Series- Data Quality Issues

The saying garbage in is garbage out couldn’t be more true when it comes to data being fed into AI and ML models. In this podcast, hosts Kathleen Walch and Ron Schmelzer discuss the importance of data quality and why bad data is a main reason for AI project failure. Show Notes: CPMAI MethodologyCPMAI MethodologyIntro to CPMAI webinarAI Today Podcast: AI Failure Series – Data Quantity & Data Understanding IssuesAI Today Podcast: AI Failure Series – ROI MisalignmentContinue reading AI Today...

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AI Use Case Series: AI in Automotive [AI Today Podcast]

AI Use Case Series: AI in Automotive [AI Today Podcast]

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AI Use Case Series: AI in Pharma [AI Today Podcast]

AI Use Case Series: AI in Pharma [AI Today Podcast]

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AI Use Case Series: AI in Insurance [AI Today Podcast]

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AI Use Case Series: AI in the Supply Chain [AI Today Podcast]

AI Use Case Series: AI in the Supply Chain [AI Today Podcast]

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AI Use Case Series: AI in Telecommunications [AI Today Podcast]

AI Use Case Series: AI in Telecommunications [AI Today Podcast]

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AI Use Case Series: AI in Real Estate [AI Today Podcast]

AI Use Case Series: AI in Real Estate [AI Today Podcast]

The real estate industry is embracing AI for enhancements across a wide range of applications. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in rea...

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