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Building a Data Strategy for Defence Partners

Alation

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Its principles are the same as those of data protection—to protect data and support data availability.

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The path to embedded sustainability

IBM Big Data Hub

While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

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Impacts and Takeaways From the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Cloudera

It builds upon the collective wisdom of the AI community and complements existing frameworks like the AI Bill of Rights and the AI Risk Management Framework from the National Institute of Standards and Technology.

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4 Steps to Data-first Modernization

CIO Business Intelligence

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy.

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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Whose responsibility is it to justify the existence of a given data product?