Unleashing the Power of Data with Trusted AI E-Book

Wendy Turner-Williams

• Herausgeber: Packt Publishing
• Kategorie: Fachliteratur
• Sprache: Englisch

Seitenzahl: 86

Veröffentlichungsjahr: 2024

Beschreibung

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.

Leseprobe

Table of Contents

Unleashing the Power of Data with Trusted AI

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&R model and AI task force

Orchestrating the symphony of AI

Example: Balanced approach

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

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Unleashing the Power of Data with Trusted AI

A guide for board members and executives

Wendy Turner-Williams

BIRMINGHAM—MUMBAI

Unleashing the Power of Data with Trusted AI

Copyright © 2024 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publisher: Vishal Bodwani

Product Manager: Sathya Mohan

Development Editor: Afzal Shaikh

Lead Development Editors: Siddhant Jain and Oorja Mishra

Copy Editor: Safis Editing

Proofreader: Safis Editing

Project Coordinator: Yash Basil

Production Designer: Deepak Chavan

First published: April 2024

Production reference: 01270624

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street, Birmingham, B3 2PB, UK.

ISBN 978-1-83546-036-8

www.packt.com

Executive summary

Enter the realm where data becomes the catalyst for innovation and generative AI emerges as the beacon guiding executives and board members through the dynamic landscape of business transformation. Dive into this comprehensive guide, illuminating the synergy between data and AI and how you can fast-track your journey with the use of generative AI. This report is designed to elevate your strategic vision and redefine your organization’s success.

This definitive handbook covers the following topics:

Generative AI demystified: Embark on the AI journey with a walkthrough of the evolution and applications of AI. Uncover its power to revolutionize industries, elevate decision-making, and forge the path to unparalleled innovation.Data mastery and AI fusion: Explore the harmonious integration of data and AI, unraveling the strategies to use these pillars for business transformation. Discover how this synergy accelerates decision-making and creates sustainable competitive advantages.Real-life transformations: Engage with captivating case studies spotlighting industry giants such as Starbucks, UPS, Netflix, and Siemens. Witness how the fusion of data and AI catalyzed their success stories, reshaping markets and redefining customer experiences.Ethical AI in action: Navigate the ethical intricacies of AI implementation with precision. Learn how to instill ethical considerations into the DNA of your AI endeavors, fostering trust and responsibility at every turn.Data by Design framework: Discover the critical pillar of Data by Design—a strategic approach embedding data intent, quality, ethical considerations, privacy, and security into the fabric of your data operations. Unveil its power to fortify your organization’s data practices, aligning them seamlessly with strategic business goals.

Unleashing the Power of Data with Trusted AI is more than a guide; it is your indispensable roadmap to navigating the realm where data unleashes its full potential. Tailored explicitly for board members, executives, innovators, and tech enthusiasts, this immersive guide promises to reshape your perception of data and AI and their transformative synergy.

Empower your organization to embrace a future where data and generative AI blend seamlessly, leading to innovation, growth, and sustained success.

Target audience

This report targets executives and board members of mid to large enterprises as well as AI, data, ethics, privacy, and security professionals.

Introduction to AI and generative AI

In today’s fast-paced digital landscape, the quest for high-value data insights has become the cornerstone of organizational success. It is a critical market differentiator in a real-time, device-connected modern society. The convergence of data and advanced technologies has unleashed a powerful tool: artificial intelligence (AI). At the nexus of innovation, generative AI, a specific form of AI, stands poised to revolutionize how businesses harness data to engage customers, transform decision-making, and drive operational efficiencies.

Generative AI represents a paradigm shift in technology, empowering machines not only to comprehend and process data but also to create and generate new content, imitating human-like cognitive functions. The underlying premise of generative AI lies in its ability to learn from vast datasets, understand patterns, and subsequently generate content, whether it is natural language, images, graphs, or other forms of data. AI can be looked at as a new type of advanced analytics or decision-making tool that applies your data to content, engagements, and processes. The recent advances in these areas have unleashed generative AI in all aspects of life.

A journey through the AI evolution

The landscape of AI has traversed a remarkable evolutionary path, transforming from theoretical concepts to tangible solutions. Initially conceived as an ambitious pursuit to replicate human intelligence in machines, AI has evolved exponentially, navigating through several phases of development. To grasp the full potential of generative AI, it is important to explore some of the pivotal events and visionaries who have set the AI stage.

1950 – 1970:Inception: Alan Turing and John McCarthy laid the groundwork for AI.Early stages: Emergence of symbolic reasoning and logic-based problem solving.1980 – 1990:Challenges: AI faced setbacks like the machine translation failure.AI winter: Lack of funding and progress led to setbacks.Progress: Expert systems with rule-based AI emerged.2000 – 2010:Surge of big data AI: Cloud computing and machine learning fueled AI.Breakthroughs: Deep learning powered significant advancements.Data revolution: Data-driven cultures emerged globally.Early 2010:Generative AI: Generative adversarial networks (GANs) revolutionized generative AI.Synthetic data: GANs enabled generation of synthetic data.Mid to late 2010:IoT impact: IoT led to a surge in data.Democratization of data: Access to diverse data fueled innovation.Advancements: AI made leaps in image synthesis, natural language processing, text generation, and music composition.Ethical concerns: Challenges with data management and ethical AI outcomes.

It’s this rich tapestry of people and technology woven over decades that has now set the stage for everyday AI, powering the world into the AI era.

Unveiling the power of generative AI

Generative AI, at its core, represents a monumental shift in the modern market. Today’s consumer has an insatiable appetite for personalized, data-driven experiences in real time. In fact, it is predicted that AI will inject over $15.7 trillion1 to the global economy by 2030, highlighting its substantial market opportunity.

$15.7 trillion

AI’s potential economic impact by 2030

AI applications span industries transforming content creation in marketing to personalizing entertainment recommendations, revolutionizing healthcare diagnostics2 and personalized medicine, streamlining manufacturing processes through virtual prototyping, and enhancing customer service interactions via digital empathy and advanced chatbots. This seismic shift in AI will redefine human interactions with technology, learning, and even social connections. As AI takes on routine tasks, it will herald a renaissance of human creativity and collective empathy, providing newfound freedom for artistic, intellectual, and social exploration.

While this burgeoning technology is poised to revolutionize industries, everyday AI also introduces unprecedented challenges. The complexities of missing, unclear, and disparate regulatory hurdles, copyright3 challenges, data poisoning, and ethical concerns such as algorithmic bias are significant legal risks.

In fact, in the United States, numerous laws and regulations, such as the FTC Act, the Fair Credit Reporting Act, and the Equal Credit Opportunity Act (ECOA), ensure protections from algorithmic bias. There’s also a notable threat of class-action lawsuits, as evidenced by the case with United Health Group (UHG).4

Likewise, in the European Union (EU), the risks are similarly substantial, even prior to the implementation of the AI Act. The General Data Protection Regulation (GDPR) specifically addresses algorithmic decision-making in Article 22(1) and (4), establishing distinct rights and legal frameworks that companies must adhere to.

The lack of focus on data management means organizations must now grapple with years of data debt, as the center stage risk is the data itself. To mitigate this risk, organizations must focus on data management maturity and embrace a Data by Design approach to meet bias, compliance, ethics, and quality concerns.

Navigating the AI transformation is now an essential board mandate. The rising market opportunity demands proactive leadership that steers AI effectively, balancing business benefits with the risk of unethical or even harmful AI impact on your customers, your brand, and society. Leaders must embrace this transformative power, utilizing it as a catalyst for agility, creativity, innovation, and operational efficiency within their organizations.