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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. .

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 136
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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. This method can also be applied to risk management in other domains as well.

Risk 67
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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. Learn more about the Cloudera Data Impact Awards and see past winners!