Remove 2017 Remove Measurement Remove Risk
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics. This includes: Age.

Insurance 110
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What are model governance and model operations?

O'Reilly on Data

A catalog of validation data sets and the accuracy measurements of stored models. Measuring online accuracy per customer / geography / demographic group is important both to monitor bias and to ensure accuracy for a growing customer base. Related to this is the need to monitor bias, locality effects, and related risks.

Modeling 195
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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Unfortunately, implementing AI at scale is not without significant risks; whether it’s breaking down entrenched data siloes or ensuring data usage complies with evolving regulatory requirements. Similarly, in 2017 Equifax suffered a data breach that exposed the personal data of nearly 150 million people.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR. Citations. [1]

Risk 101
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services. I think not.

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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. Without real-time power measurements, estimated power values were being used.

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How TCS is helping to fight financial crime with AI and Microsoft Cloud

CIO Business Intelligence

As consumers embrace ecommerce, digital banking, and online payment applications, the risk of fraud and other financial crimes has increased dramatically. billion, a 436% increase over 2017 levels, according to McKinsey. The stakes for financial organizations are growing as well. In 2021, U.S. fraud losses amounted to $5.9