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

Cloudera

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

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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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Financial services firms turn to automated, data-driven processes for new products and services

CIO Business Intelligence

Consumer banks can use digital interactions to gather more customer data and apply real-time analytics to expand services and speed up processes. Machine-managed risk Risk management is a top-of-mind issue for all financial services firms. But there’s an opportunity in this shift.

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IT leaders adjust budget priorities as economic outlook shifts

CIO Business Intelligence

For the most part, budgets are holding steady or growing in the single digits, with continued investments in security, analytics, and the cloud, among other areas. Security tops the list According to this year’s State of the CIO survey , cybersecurity and risk management are the top investment areas for 45% of IT leader respondents.

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State of the CIO, 2024: Change makers in the business spotlight

CIO Business Intelligence

The senior vice president and chief information and strategy officer at National Life Group, has spent years executing a technology roadmap to modernize the insurance company. A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. In the realm of sales, generative AI boosts team performance by providing deep analytics and insights into customer behavior.

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What Are the Industries That Benefit Most from Big Data?

Smart Data Collective

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. On the surface, the use of data analytics in hospitals and clinics offers an easy way to streamline operations and avoid human error.