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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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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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7 sins of digital transformation

CIO Business Intelligence

Expecting developers on self-organizing agile teams, data scientists, and user experience specialists to have all the required knowledge and best practices can lead to material risks and implementation setbacks. Roadmaps give employees a sense of direction, an explanation of purpose, and convey strategic priorities.

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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. The AI strategy becomes the compass for meaningful contributions to the organization’s success.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset .

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says. “The

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Generative AI – How to Care For, and Properly Feed, Chatty Robots

Ontotext

They run the risk of using trademarked, copyrighted, or protected data as they scour public data and can be easily exploited and manipulated to ignore previous instructions. Additionally, data is the fulcrum of AI, and the data used to train LLMs must be properly governed and controlled.

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