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Alation State of Data Culture Report: Bad Data Spells Trouble for AI

Alation

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). Unsurprisingly, survey respondents cited these specific issues as the main culprits behind their AI failures.

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3 ways CIOs should drive the future of work

CIO Business Intelligence

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. Large enterprises have transformed from batch data processing, where executives review weekly and monthly reports to more real-time analytics.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. Even the COVID-19 pandemic and the acceleration to digital transformation — when data and data insights became two of the main business drivers — haven’t improved the situation. From Bad to Worse.

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The year of the data catalog

Alation

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

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7 sins of digital transformation

CIO Business Intelligence

But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations. All three must align business and data-management strategies, complemented by streamlined data and analytics capabilities.”

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. For accurate predictions, companies now use various data models, machine and deep learning techniques to continuously improve and refine the quality of the outcome. Intense competition at every level. AI Services.

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What Is Embedded Analytics?

Jet Global

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.