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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 7: The Impact of COVID-19 on Financial Services & Risk Management

bridgei2i

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. Listening time: 12 minutes.

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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . It won’t matter if you can collect social media data or geo location data, images, etc.

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Selling the C-suite on preemptive IT investments

CIO Business Intelligence

Others include preparation for zero-day attacks, almost anything having to do with data stewardship, as well as IT training and social engineering audits. Here are three strategies for getting it done. When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time.

ROI 122
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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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Generative AI use cases for the enterprise

IBM Big Data Hub

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

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Strong Business Continuity Management Brings Resilience

CIO Business Intelligence

Asking the right questions to understand the business’ strategy and implementing architecture that supports the technology of the future is fundamental. Understanding business requirements, from technology recovery requirements to data loss tolerance, enables a dynamic technology strategy that morphs with the changing needs of the business.

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

Cloudera

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.