AI Meets Big Data

In the age of big data, companies have more consumer data, and more kinds of data, available to them than ever before — far more than humans and their current technologies can ever hope to keep up with. AI closes the gap by moving far past human limitations to consume and analyze data on a scale we previously could only imagine.

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Fuzion Analytics Inc

Fuzion Analytics is a data mining and analytic services organization dedicated to serving the informational needs of the Long-Term Care (LTC) insurance industry. Our goal is to drive competitive advantage for our clients by utilizing their data assets to drive better decisions in real-time. Fuzion's cutting-edge technology allows us to deliver innovative data analysis, consulting and information infrastructure designed to improve carriers' claims experience, enhance operations management and reporting, reduce the incidence of fraudulent claims, and enable them to make more accurate projections for decision management practices. Sophisticated, best-of-breed technology drives Fuzion's service solutions. We provide Web-based business intelligence dashboards, fraud detection with case investigation and workflow applications, advanced data mining and predictive modeling capabilities, and robust data storage mechanisms with advanced integration software. These capabilities, combined with our

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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4 Powerful Reasons Why Your Organization Benefits With Data Sharing

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”

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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

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The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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Spotlight

Fuzion Analytics Inc

Fuzion Analytics is a data mining and analytic services organization dedicated to serving the informational needs of the Long-Term Care (LTC) insurance industry. Our goal is to drive competitive advantage for our clients by utilizing their data assets to drive better decisions in real-time. Fuzion's cutting-edge technology allows us to deliver innovative data analysis, consulting and information infrastructure designed to improve carriers' claims experience, enhance operations management and reporting, reduce the incidence of fraudulent claims, and enable them to make more accurate projections for decision management practices. Sophisticated, best-of-breed technology drives Fuzion's service solutions. We provide Web-based business intelligence dashboards, fraud detection with case investigation and workflow applications, advanced data mining and predictive modeling capabilities, and robust data storage mechanisms with advanced integration software. These capabilities, combined with our

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