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7 famous analytics and AI disasters

CIO Business Intelligence

But a Zillow spokesperson told CNN that the algorithm had a median error rate of 1.9%, and the error rate could be much higher, as much as 6.9%, for off-market homes. Data limitations in Microsoft Excel. The idea was to renovate the properties and flip them quickly. The culprit? Healthcare algorithm failed to flag Black patients.

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Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. The company has integrated data analysis throughout its organization to power decision making.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. How does CDO overlap with Market Research functions? Do Qual data sources for example text, which tend to live in MR cross into the CDO world? This is not how it works though.