The AI Advantage
Decoding Neural Networks for Innovation and Growth
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Pub Date Oct 14 2026 | Archive Date Mar 15 2027
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Description
Stop Chasing the AI Hype. Start Building Lasting Competitive Advantage.
Artificial intelligence is transforming every industry, yet few people truly understand the neural networks powering today's most advanced AI systems.
The AI Advantage cuts through the buzzwords and headlines to reveal how neural networks actually work and, more importantly, how innovators, engineers, scientists, entrepreneurs, and business leaders can use them to create lasting value.
Written by entrepreneur, inventor, and intellectual property attorney Christopher Sappenfield, this practical guide makes one of today's most powerful technologies approachable without sacrificing depth.
Complex concepts are explained in clear, engaging language, taking readers from the fundamentals of neural networks and deep learning to real-world applications, emerging trends, and practical strategies for successful AI innovation.
What sets this book apart is its unique focus on innovation and intellectual property. Beyond understanding AI, readers will discover how to identify, protect, and commercialize valuable neural network innovations, turning technical knowledge into lasting competitive advantage.
Whether you're launching a startup, leading digital transformation, advancing scientific research, or simply determined to understand the technology reshaping the future, The AI Advantage is the essential guide to moving beyond curiosity and building with confidence.
The future belongs to those who understand AI. Start building your advantage today.
Marketing Plan
Publication: October 14, 2026. CJIN Publishing.
Formats: trade paperback (ISBN 979-8-9977448-1-6) and ebook (ISBN 979-8-9977448-0-9), both through IngramSpark. Print-on-demand, so there is no offset first printing to announce.
Audience: executives, founders, and managers who have to evaluate, fund, or protect neural-network work without becoming engineers, plus counsel and technology-transfer readers.
What is scheduled:
- NetGalley copies for reviewers, librarians, booksellers, and industry readers
- Direct advance copies to practitioners the author already works with, including technology-transfer offices and research scientists
- Author page at cjinpub.com, with bulk and corporate-reading inquiries to info@cjinpub.com
- Publication posts from the author on LinkedIn and X under #DecodingNeuralNetworks
No author tour is scheduled. The priority after October 14 is an honest review on Amazon, Goodreads, or a professional channel. The advance copy is free and should be disclosed. No rating is requested.
Available Editions
| EDITION | Ebook |
| ISBN | 9798997744809 |
| PRICE | $8.99 (USD) |
| PAGES | 302 |