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Unleashing the Power of Data with Trusted AI

Unleashing the Power of Data with Trusted AI

By : Wendy Turner-Williams
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Unleashing the Power of Data with Trusted AI

Unleashing the Power of Data with Trusted AI

5 (1)
By: Wendy Turner-Williams

Overview of this book

Written by a distinguished leader and innovator who has been instrumental in spearheading digital, cloud, and AI transformations across global brands, Unleashing the Power of Data with Trusted AI is an indispensable resource that will make you AI-ready. This comprehensive guide is designed to meet the urgent need for clarity and to give you actionable insights into today's rapidly evolving landscape of AI and its fundamental driver - data. You’ll delve into the exciting world of AI and its integration with data, uncover its significance, ethical considerations, and strategic applications with real-life success stories from industry giants like Starbucks, Netflix, and Siemens. You’ll also witness first-hand how the integration of data and AI has reshaped markets and elevated customer experiences, and discover the future of generative AI based on several surveys and case studies. You’ll gain an understanding of how AI has evolved across industries, empowering decision-making and fostering innovation. Tailored for board members, executives, innovators, and tech enthusiasts, this immersive guide will reshape your understanding of data and AI synergy. By the end of this guide, you’ll be able to lead your teams, customers, partners, and organizations confidently and responsibly in the era of AI.
Table of Contents (14 chapters)
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1
Unleashing the Power of Data with Trusted AI
2
Executive summary
4
Modernizing the boardroom to steer data and AI
9
The road ahead: Embracing the AI revolution
10
Key takeaways for board members and executives
11
Conclusion: Embracing the future of data and AI
12
About the author
13
Bibliography

What is Data by Design?

Data by Design refers to an approach in data engineering that extends the traditional design phase to not only ensure the technical architecture of data systems but also focus on various aspects related to data quality, management maturity, intended use, and risk prevention. It encompasses a comprehensive strategy to deliberately shape and structure data systems while considering potential risks such as privacy concerns, geo-residency, access control, biases, and ethical implications. In essence, it is an inclusive framework that emphasizes the proactive consideration and integration of risk management strategies throughout the entire life cycle of data, from its initial conception to its utilization in different applications.

Data by Design involves the following:

  • Data architecture and platforms: These are key to naming, taxonomy, data linkability, reusable design frameworks, scalability, performance, velocity, and self-service capabilities.
  • ...

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