Unleashing the Power of Data with Trusted AI : A Guide for Board Members and Executives / Wendy Turner-Williams.

Format:

Book

Author/Creator:

Turner-Williams, Wendy, author.

Language:

English

Subjects (All):

Electronic data processing--Management.

Electronic data processing.

Artificial intelligence.

Physical Description:

1 online resource (68 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Biography/History:

Turner-Williams Wendy: Wendy is a distinguished leader and innovator at the intersection of business, AI, data, and software. She has been instrumental in spearheading digital, cloud, and AI transformations across globally recognized brands, translating complex concepts into actionable strategies. As the founder and CEO of Culstrata-ai and TheAssociation-ai, Wendy has created platforms that not only provide AI and data professional services but also globally unite professionals across the fields of AI, data, ethics, privacy, robotics, and security in promoting an ethical, quality, and trustworthy AI future. Her leadership role as a CDAIO at Salesforce, Tableau, and other tech giants reflects her ability to realize substantial revenue and operational advancements.

Summary:

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.

Contents:

Intro

Executive summary

Target audience

Introduction to AI and generative AI

A journey through the AI evolution

Unveiling the power of generative AI

Modernizing the boardroom to steer data and AI

The offense and defense of data

Navigating the future of AI by bridging strategies

What is Data by Design?

The strategic ring that binds us

Seven steps to ethical, quality, and trusted generative AI implementation

A personal journey in Azure engineering

Step 1: People and processes - executive R&amp

R model and AI task force

Step 2: Assessing business readiness

Step 3: Assessing data readiness

Step 4: Understanding the risk landscape

Step 5: Data roadmap - using generative AI to uplift readiness

Step 6: Embracing the secret sauce - humanism and digital empathy

Step 7: Implementing an AI Data by Design program

Real-world AI success cases

Case study: Starbucks - personalizing coffee encounters with AI

Case study: UPS - optimizing deliveries with generative AI

Case study: Netflix personalizing user engagement with generative AI

Case study: Siemens streamlines operations with generative AI

Recommendations and best practices

The future of generative AI in data and analytics

Impact of generative AI on data-driven decision-making

The road ahead: Embracing the AI revolution

Key takeaways for board members and executives

Conclusion: Embracing the future of data and AI

About the author

Bibliography.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781835460368

1835460364

OCLC:

1429159169