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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

This book is a very timely contribution to the world of industrial digital transformation. The digital twin is more than a data collector. In order to help an organization get started with a DT (digital twin), this book outlines the process of building the MVT (Minimum Viable Twin).

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

BizAcuity

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

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Getting Started With People Analytics

Sisense

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. has its own unique KPIs.

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What Is Data Intelligence?

Alation

Cloud Transformation. Digital Transformation. Data Governance and Data Strategy. Today, enlightened governance leaders are realizing that governance can service a data strategy that plays both offense and defense. Source: “What’s Your Data Strategy?” Augmented Analytics. Cloud Data Migration.

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

Andrew White

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. I am sorry I don’t know what that is.