Machine Learning Predictive Analytics Predictive Modeling Uncertainty 
CIO Business Intelligence
OCTOBER 4, 2022
From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.
BizAcuity
MARCH 18, 2019
Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.
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CIO Business Intelligence
SEPTEMBER 2, 2022
How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. The pandemic falls into the macro-level because we really can’t predict those kinds of events.
CIO Business Intelligence
SEPTEMBER 2, 2022
How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. The pandemic falls into the macro-level because we really can’t predict those kinds of events.
Sisense
SEPTEMBER 9, 2019
We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.
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