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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. To learn more, visit us here.

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AWS Glue Data Quality is Generally Available

AWS Big Data

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

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The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

While this is a technically demanding task, the advent of ‘Payload’ Data Journeys (DJs) offers a targeted approach to meet the increasingly specific demands of Data Consumers. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.

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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

Having disparate data sources housed in legacy systems can add further layers of complexity, causing issues around data integrity, data quality and data completeness. million in insurance fraud in just 7 months. .

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Handle UPSERT data operations using open-source Delta Lake and AWS Glue

AWS Big Data

We examine a hypothetical insurance organization that issues commercial policies to small- and medium-scale businesses. The insurance prices vary based on several criteria, such as where the business is located, business type, earthquake or flood coverage, and so on. Let’s start with the full load job. option("header",True).schema(schema).load("s3://"+

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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

Today, most banks, insurance companies, and other kinds of financial services firms have deployed natural language processing (NLP) tools to address some of their customer service needs. billion, and for insurance, the savings will approach $1.3 Data integration can also be challenging and should be planned for early in the project. .

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.