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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
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Executive summary
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Introduction to AI and generative AI
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Modernizing the boardroom to steer data and AI
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Navigating the future of AI by bridging strategies
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The future of generative AI in data and analytics
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The road ahead: Embracing the AI revolution
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Key takeaways for board members and executives
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Conclusion: Embracing the future of data and AI
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About the author
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Bibliography
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Other books you may enjoy
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Example: Balanced approach

Here is an example illustrating the delicate balance achieved of offense and defense in my own capacity as a CDAIO. In a previous role, I spearheaded the modernization of our data strategy, data management processes, data platforms and services while concurrently enhancing the quality, reliability, and trust of the data housed within these platforms and mitigating data risks.

One notable project involved the migration of product logs and instrumentation from an expensive and limited on-premises Hadoop instance to a more flexible, scalable, and innovative cloud-based infrastructure. Rather than a simple lift-and-shift approach, we divided the initiative into three parallel tracks:

  • People and processes: Understanding existing consumers/producers and their data use cases to identify opportunities to improve the data itself. This touched every organization in the company and included use cases like product debugging, customer security incident response...

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