Remove Machine Learning Remove Risk Management Remove Testing Remove Uncertainty
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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . In this session we explored what firms are doing to approach the uncertainty with more predictability.

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How to Build Trust in AI

DataRobot

The first is trust in the performance of your AI/machine learning model. In performance, the trust dimensions are the following: Data quality — the performance of any machine learning model is intimately tied to the data it was trained on and validated against. Dimensions of Trust. Operations.

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Simulation for better decision making

Cloudera

Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI). They can consist of simple rules, machine learning derived models or even AI-based models such as reinforcement learning models.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Impact Awards and see past winners!

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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. I held out 20% of this as a test set and used the remainder for training and validation.

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