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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented.

Strategy 267
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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management.

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How AI is helping the NFL improve player safety

CIO Business Intelligence

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. One of those data sources is the Next Generation Stats System (NGS), which captures real-time location, speed, and acceleration data for every player.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. As more companies set broad environmental, social and governance (ESG) goals, finding a way to track and accurately document progress is increasingly important.

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 102
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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

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Data Mesh 101: How Data Mesh Can Be Used in an Organization

Ontotext

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.