Generative AI for Business Leaders: Book Collection
AVAILABLE AT ALL MAJOR RETAILERS
The book collection lays out a comprehensive approach for businesses to successfully adopt and integrate Generative AI technologies. Common errors and challenges that companies face in this relatively new domain are highlighted, along with proven tactics to overcome them and achieve strong results.
A comprehensive playbook to unlock the commercial potential of generative AI for managers, directors, executives, governance specialists, and any professionals interested in the intersection of business and emerging technologies.
Generative AI Transformation Blueprint
Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap.
Who this Book is For
The core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning.
- Understanding Generative AI: What it is, key capabilities and applications, strengths and limitations.
- Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks.
- Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent.
- Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions.
- Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling.
- Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security.
- Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes.
- Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops.
- Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress.
Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.
In this comprehensive guide, business leaders will gain a nuanced understanding of large language models (LLMs) and generative AI. The book covers the rapid progress of LLMs, explains technical concepts in non-technical terms, provides business use cases, offers implementation strategies, explores impacts on the workforce, and discusses ethical considerations. Key topics include:
- The Evolution of LLMs: From early statistical models to transformer architectures and foundation models.
- How LLMS Understand Language: Demystifying key components like self-attention, embeddings, and deep linguistic modeling.
- The Art of Inference: Exploring inference parameters for controlling and optimizing LLM outputs.
- Appropriate Use Cases: A nuanced look at LLM strengths and limitations across applications like creative writing, conversational agents, search, and coding assistance.
- Productivity Gains: Synthesizing the latest research on generative AI's impact on worker efficiency and satisfaction.
- The Perils of Automation: Examining risks like automation blindness, deskilling, disrupted teamwork and more if LLMs are deployed without deliberate precautions.
- The LLM Value Chain: Analyzing key components, players, trends and strategic considerations.
- Computational Power: A deep dive into the staggering compute requirements behind state-of-the-art generative AI.
- Open Source vs Big Tech: Exploring the high-stakes battle between open and proprietary approaches to AI development.
- The Generative AI Project Lifecycle: A blueprint spanning use case definition, model selection, adaptation, integration and deployment.
- Ethical Data Sourcing: Why the training data supply chain proves as crucial as model architecture for responsible development.
- Evaluating LLMs: Surveying common benchmarks, their limitations, and holistic alternatives.
- Efficient Fine-Tuning: Examining techniques like LoRA and PEFT that adapt LLMs for applications with minimal compute.
- Human Feedback: How reinforcement learning incorporating human ratings and demonstrations steers models towards helpfulness.
- Ensemble Models and Mixture-of-Experts: Parallels between collaborative intelligence in human teams and AI systems.
- Areas of Research and Innovation: Retrieval augmentation, program-aided language models, action-based reasoning and more.
- Ethical Deployment: Pragmatic steps for testing, monitoring, seeking feedback, auditing incentives and mitigating risks responsibly.
The book offers an impartial narrative aimed at informing readers for thoughtful adoption, maximizing real-world benefits while proactively addressing risks. With this guide, leaders gain integrated perspectives essential to setting sound strategies amidst generative AI's rapid evolution.
More Than a Book
By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. No credit card required.
AI Academy by Now Next Later AI
We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.
Featured by Amazon as #1 Hot New Release in Big Data Business.
Introducing "Artificial Intelligence Fundamentals for Business Leaders" - the perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI.
Featured by Amazon as #1 Hot New Release in information technology.
More Than a Book
More Than a Book
By purchasing this book, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers.
You will also receive 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.
AI Academy by Now Next Later AI
AI Academy by Now Next Later AI
We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.
Inês Almeida
Inês is the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business supporting organizations with their AI strategy, transformation, and governance. She is a strong proponent of human-centered, rights-respecting, responsible AI development and adoption. Ignoring both hype and fear, she provides a balanced perspective grounded in scientific research, validated business outcomes and ethics.
With a wealth of experience spanning over 26 years, Inês held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation. Inês serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee.
Inês is the author of several books, including three AI guides with a clear aim to provide an independent, balanced and responsible perspective on Generative AI business adoption. She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Her latest books show her extensive knowledge and insights, displaying her unique perspective and invaluable contributions to the field.
