J.J. Kardwell of Everstring – The Dirty Work of Data Quality, Pristine Training Data, and the AI Enhanced Human

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In this episode J.J. Talks about:
- How accuracy is the key to avoiding things that get ugly when they scale
- Using controls to refine and improve instead of just pushing everything out the door
- Fit, Intent and Engagement to get to relevant data
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How the Dark Ops of Shadow IT can drive organizations forward
Marketing and Sales tech professionals getting pushed into also doing data science
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The Everstring view of data – massive and always available
The dirty parts of the job – prep, cleaning and normalization
The power of the mind and AI for pristine training data
It doesn’t help if you reduce coverage without solving the accuracy problem
Looking at both fit, intent, and engagement for relevance
Algorithm drift, bias, and other issues on the horizon
Using ML and AI for massive increases in data hygiene
Find J.J. Kardwell on LinkedIn and on Twitter
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- By:
John Wall - Posted:
March 29, 2018 - Estimated Time:
40:39 - Categories: