Remove 2023 Remove Data Analytics Remove Data Quality Remove IoT
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How data teams move from offense to defense in 2023

CIO Business Intelligence

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

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Prioritizing Data: Why a Solid Data Management Strategy Will Be Critical in 2024

Ontotext

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. As innovative and emerging technologies such as digital twins, IoT, AI, and ML gain further mind share, managing data will become even more important.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. With AI infused throughout, the industry is moving towards a place where data analytics is far less biased, and where citizen data scientists will have greater power and agility to accomplish more in less time.