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Perplexing Impacts of AI on The Future Insurance Claims

Smart Data Collective

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. Capturing data from documents.

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Salesforce’s Financial Services Cloud targets ops automation for insurance firms

CIO Business Intelligence

>To help insurance brokerages tie in disparate systems to manage their operations and increase employee productivity, CRM software provider Salesforce has introduced a new offering in preview, the Financial Services Cloud. In addition, Financial Services Cloud can be used to service property and casualty insurance clients as well.

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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Meanwhile, AI-powered tools like NLP and computer vision can enhance these workflows by enabling greater understanding and interaction with unstructured data. AI in action The benefits of this approach are clear to see. 4] On their own AI and GenAI can deliver value.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.

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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. Millions.

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CIOs worry about Gen AI – for all the right reasons

CIO Business Intelligence

And they won’t be able to interact with customers. One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. For now, at least. May I help you? That’s huge.”

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Covid Data: An anomalous blip, or the new normal?

Cloudera

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. Data Variety. Insurance .