AI In a Weekend An Executive's Guide
By Martin Miller and John Sukup
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AI in a Weekend: An Executive's Guide offers a concise and comprehensive introduction to artificial intelligence (AI), tailored for business leaders seeking to integr
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AI In a Weekend An Executive's Guide - Martin Miller
AI in a Weekend An Executives Guide
All rights reserved.
Copyright © 2024 Unriveted Media
No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording or by an information storage and retrieval system – except by a reviewer who may quote brief passages in a magazine, newspaper, or on the web – without permission in writing from the publisher.
First Edition
ISBN: 979-8-9905516-0-2
Unriveted Media
Authors: John Sukup & Martin Miller
www.expectedx.com
www.m-vision.com
Unleashing the Potential
of Artificial Intelligence
Hello and welcome to AI in a Weekend: An Executive’s Guide! This guide offers a brief overview of artificial intelligence (AI), laying the foundation from fundamental concepts to advanced business applications and upcoming trends. Tailored for executives, it aims to illustrate the transformative potential of AI in organizational contexts, empowering leaders to make well-informed decisions regarding the adoption and integration of these cutting-edge technologies and, additionally, how to avoid costly mistakes!
If there is one thing we hope you take away from this book, it’s this:
AI is a transformative technology that enhances decision-making, operational efficiency, and customer experiences. For its successful integration, a profound understanding is essential, coupled with a capacity to navigate ethical–and privacy, considerations while not getting overwhelmed in the continuous chase for the next best thing.
Executives play a crucial role in leading the integration of AI within organizations. They have the responsibility for creating an environment that is receptive to it by promoting a culture that is focused on data-driven decision-making. Additionally, executives can enhance the organization’s adaptability to AI by improving data literacy, providing ongoing training and development opportunities, and nurturing an atmosphere conducive to innovation and technological advancement.
AI holds a promising future with the transformative potential to revolutionize businesses and entire industries (let alone the entire human race) in unprecedented ways. Executives proactive in embracing these evolving technologies will be strategically positioned for success and innovation in the emerging landscape.
Contents
Chapter 1: Introduction
The Rise of AI: From Machine Learning to Generative AI
Importance of Executives’ Understanding of AI
Generative AI: The Latest
Emergent AI Subfield
Augmented Intelligence: The Other AI
Objectives and Structure of the Book
Chapter 2: Foundations of AI
Brief Overview of Concepts
Learning Algorithms
Artificial Neural Networks in Deep Learning
Contrasting ML Systems with LLM-based AI Systems
Chapter 3: Business AI
Enhancing Decision-Making Processes
Improving Operational Efficiency
Transforming Customer Experience
Chapter 4: Considerations for Executives
Establishing a Culture of Data-Driven Decision-Making
Addressing Ethical and Privacy Concerns
Managing Risks and Challenges
Chapter 5: Building an AI Strategy
Defining Business Objectives and Use Cases
Establishing Data Governance and Infrastructure
Selecting Appropriate AI Technologies
Assembling the Right Team and Skill Sets
Developing a Roadmap for Implementation
Chapter 6: Collaboration between Humans and Machines
Augmented Intelligence: Humans and AI Working Together
Reskilling and Upskilling the Workforce
Building Trust and Confidence in AI Systems and their Capability
Chapter 7: Case Studies: Real-World Stories
Industry-Specific Examples of AI Implementation
Business Outcomes and Lessons Learned
Chapter 8: Looking Ahead Towards Future Trends and Opportunities
Implications for Business Strategy and Competitive Advantage
Ethical Considerations and Responsible AI
Role of Generative AI
Chapter 9: Conclusion
The Role of Executives in Driving AI Adoption
The Future of AI in Business
Appendix
Emerging Architecture for LLM App Stack
References
About Unriveted and the Authors, John Sukup & Martin Miller
Chapter 1:
Introduction
The Rise of AI: From Machine
Learning to Generative AI
While AI has recently seen a resurgence in interest; make no mistake, businesses have been seeking efficiencies and competitive advantages from it for years in some form or another (although most of what we called AI
in previous years was far from what we’d currently liken it to). This resurgence began fairly recently with Machine Learning (ML), a subfield of AI, that empowers computers to learn
autonomously without explicit programming. It’s only recently that ML has stood at the forefront among businesses flexing their muscles in the realm of predictive analytics.
AI, however, encompasses a broader spectrum that includes both ML and its own subfield, Deep Learning (DL), a technique used for developing mathematical models that mimic human intelligence and logical reasoning, a formidable undertaking! It’s from these fields that have given rise to today’s AI technologies: Generative AI (GenAI) and most notably Large Language Models (LLMs) like OpenAI’s GPT-4. These stand at the head of technological innovation in contemporary times.
In the dynamic landscape of technology, news of advancements in these fields permeate daily headlines, reflecting their pervasive influence across diverse businesses and industries. Such rapid progression renders information obsolete swiftly, underscoring the volatile nature of technological evolution. It can also lead to hype, which can hinder progress when expectations are set too high.
Grouping GenAI, LLMs, and ML under the umbrella term AI,