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How AI-driven data management helps organizations meet rising regulatory challenges

CIO Business Intelligence

Enterprises must reimagine their data and document management to meet the increasing regulatory challenges emerging as part of the digitization era. The cost of compliance These challenges are already leading to higher costs and greater operational risk for enterprises. One particular challenge lies in managing “dark data” (i.e.,

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A Data Prediction for 2025

DataKitchen

The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. ’ They are data enabling vs. value delivery.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In a 2021 white paper titled “Data Excellence: Transforming manufacturing and supply systems“ written by the World Economic Forum and the Boston Consulting Group, it documented that 75% of executives interviewed believed that advanced analytics in manufacturing was more important today than three years ago. Risk Management.

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Achieve Flexible Monitoring and Notification with our Data Alert?

FineReport

Risk control and key indicator management are increasingly becoming primary concerns for modern enterprises. When key indicators show abnormal fluctuations or significant outlier values are detected in key data, it is necessary to promptly communicate risk information to business leaders for effective risk alerting.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Learn, improve, and iterate quickly (with feedback from the customer) with low risk.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that. Watsonx.ai Depending on the task, watsonx.ai