Remove Data Science Remove Digital Transformation Remove Prescriptive Analytics Remove Strategy
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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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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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What Leaders Want: Shifting to AI-Driven Healthcare

DataRobot Blog

The message we’ve heard from attendees, loud and clear, is that the COVID-19 pandemic has enabled organizations to rapidly accelerate digital transformation and that there’s a strong mandate to maintain momentum. The push to predictive and prescriptive analytics requires strategy and C-Suite ownership.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

From there, it can be easily accessed via dashboards by data consumers or those building into a data product. The kind of digital transformation that an organization gets with data integration ensures that the right data can be delivered to the right person at the right time. Data science and MLOps.

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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. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. Artificial Intelligence Analytics.

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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? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.