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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

A personal journey in Azure engineering

I would like to provide a personal example of a Data by Design initiative that had a top-down, bottom-up, and side-to-side approach all at once. Years ago, when Azure was in its initial stages, I was responsible for the Azure Data Platform’s Engineering Fundamentals program. This program was the result of strategy and technology shifts, as Azure was in its infancy and many of the employees had originally worked in a box product environment. The concept of shipping in a day was foreign, as was building products on top of other infrastructure cloud services that were also shipping in a day. We needed to shift engineering fundamentals left to ensure available, extensible, supportable, and trusted services.

To do this, we had to significantly invest in frameworks, training, process automation, and monitoring to assess the maturity of each product against standardized architecture, engineering, support, and risk management processes. This...

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