Remove Insurance Remove Predictive Modeling Remove Risk
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Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. they can train their own surrogate model.

Modeling 278
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Is Artificial Intelligence relevant to insurance?

IBM Big Data Hub

In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. The early versions of AI were capable of predictive modelling (e.g., The four categories of predictive modelling, robotics, speech and image recognition are collectively known as algorithm-based AI or Discriminative AI.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111
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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.

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Think Big – Applying Analytics to Injury Claims Is the Next Challenge for Law Firms

Smart Data Collective

When the risk of recurrence for a malpractice case is high, for example, they can convince the judge to be more generous in rewarding the client. The impact of predictive modelling on personal injury cases. Predictive modelling is a technology that evolved together with big data analytics.

Analytics 133
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Structural Evolutions in Data

O'Reilly on Data

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” “Here’s our risk model. And it was good. For a few years, even. But then we hit another hurdle.

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AI for Climate Change and Weather Risk

DataRobot Blog

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. The post AI for Climate Change and Weather Risk appeared first on DataRobot AI Cloud. In 2017, Hurricane Harvey struck the U.S. Gulf Coast and caused approximately $125 billion in damage. Learn more.

Risk 52