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Reimagined: Building Products with Generative AI
Did you know that incorporating AI into products is now a pivotal strategy for businesses worldwide? According to a 2023 study from Accenture, a staggering 75% of C-suite executives agree that failure to integrate AI effectively in the next five years could lead to business obsolescence.
" Building Products with Generative AI" is your essential guide in this transformative journey. It's not just about understanding AI and Generative AI technologies; it's about strategically harnessing them to drive innovation, team efficiency, and market success.
Spanning over 150+ real-world examples, 30+ detailed case studies, and 20+ practical frameworks, Reimagined offers a comprehensive approach to integrating generative AI into your product strategy and career.
What you’ll get out of reading the book:
A solid understanding of today’s AI landscape: grasp the 6 generative AI 'superpowers,' navigate through the 7 waves of AI evolution, and understand where we currently stand in this transformative journey. Explore a myriad of industries and use cases being reshaped by generative AI, sparking innovative ideas for leveraging AI in your business and product strategies.How to strategize and implement generative AI master the art of targeting the right customer segments and problem areas, guided by 10 essential rules to craft impactful generative AI MVPs to achieve product-market fit. Elevate user experience with proven AI-UX design best practices and apply strategies for growth, scaling, and go-to-market challenge to ensure your products are not only valuable but also defensible in the market.Insights into navigating the ethical AI terrain: Tackle the challenges and limitations of generative AI with a deep understanding of the 7 pillars of the AI Trust Framework. Equip yourself with strategies for responsible AI development and deployment, mitigating risks, and fortifying trust in your AI applications.Future-proof your product management career: Discover how the role of product managers is evolving in the AI era and identify the critical skills required to excel. Learn AI productivity hacks designed to revolutionize product development processes and turbocharge your career growth as a product manager.
Whether you are a budding product manager or a seasoned leader, this book is tailored to elevate your understanding of generative AI's role in product management and empower you to lead with confidence in this AI-centric era.
Who is this book for:
For tech professionals, AI enthusiasts, data scientists, product managers, and business strategists interested in understanding and utilizing generative AI technologyFor product leaders and business executives seeking programmatic AI frameworks to inform decision-making and innovation strategyFor academics, researchers, and students keen on keeping abreast with the latest trends in AI technology
" Building Products with Generative AI" is your essential guide in this transformative journey. It's not just about understanding AI and Generative AI technologies; it's about strategically harnessing them to drive innovation, team efficiency, and market success.
Spanning over 150+ real-world examples, 30+ detailed case studies, and 20+ practical frameworks, Reimagined offers a comprehensive approach to integrating generative AI into your product strategy and career.
What you’ll get out of reading the book:
A solid understanding of today’s AI landscape: grasp the 6 generative AI 'superpowers,' navigate through the 7 waves of AI evolution, and understand where we currently stand in this transformative journey. Explore a myriad of industries and use cases being reshaped by generative AI, sparking innovative ideas for leveraging AI in your business and product strategies.How to strategize and implement generative AI master the art of targeting the right customer segments and problem areas, guided by 10 essential rules to craft impactful generative AI MVPs to achieve product-market fit. Elevate user experience with proven AI-UX design best practices and apply strategies for growth, scaling, and go-to-market challenge to ensure your products are not only valuable but also defensible in the market.Insights into navigating the ethical AI terrain: Tackle the challenges and limitations of generative AI with a deep understanding of the 7 pillars of the AI Trust Framework. Equip yourself with strategies for responsible AI development and deployment, mitigating risks, and fortifying trust in your AI applications.Future-proof your product management career: Discover how the role of product managers is evolving in the AI era and identify the critical skills required to excel. Learn AI productivity hacks designed to revolutionize product development processes and turbocharge your career growth as a product manager.
Whether you are a budding product manager or a seasoned leader, this book is tailored to elevate your understanding of generative AI's role in product management and empower you to lead with confidence in this AI-centric era.
Who is this book for:
For tech professionals, AI enthusiasts, data scientists, product managers, and business strategists interested in understanding and utilizing generative AI technologyFor product leaders and business executives seeking programmatic AI frameworks to inform decision-making and innovation strategyFor academics, researchers, and students keen on keeping abreast with the latest trends in AI technology
- GenresArtificial Intelligence
328 pages, Kindle Edition
Published January 5, 2024
41 people are currently reading
46 people want to read
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Displaying 1 - 6 of 6 reviews
March 31, 2024
I was quite disappointed by the book's content and its overall approach. Although it covers many aspects of product development, the discussion is very superficial. This book might offer basic insights for someone completely new to product management and AI, but for anyone with a bit of experience, it lacks practical value. Despite claims of including numerous use cases and real-world examples, their coverage is too brief and superficial to be of any real benefit.
Additionally, the writing style is dull and lacks engagement, suggesting it might have been generated by AI without any effort to inject personality or liveliness into the text.
Additionally, the writing style is dull and lacks engagement, suggesting it might have been generated by AI without any effort to inject personality or liveliness into the text.
February 28, 2024
Reimagined: Building Products with Generative AI
Pretty Good Read, Could be Better!
Overall a Good Read. I truly appreciate the efforts the Authors are putting along with their full time jobs and family.
For Somebody Landing to such a book would want to know:
1. Difference between traditional product management vs AI Product management- shift in spectrum and paradigm. metrics, product market fit,
2. Difference in serving AI Products to B2B and B2C
3. GTM strategies for AI Products in context of B2B and B2C, challenges faced, real cases studies, Why some products are succeeding and some are failing etc
What's Good?
1. "Body of Knowledge"-The Book touch basis on all the points above. Gives basic body of knowledge to navigate the above concerns.
2. Ease of Readability and Absorbability- is good, no much beating around the bush.
What's Not So Good? And how it could be better.
1. "Prefer Quality of Case Studies rather than Quantity" : The Book offers case studies but are some what shallow. They authors do mention that "This case study is an interpretative analysis and may not encompass all factors" however as a reader I would prefer quality over quantity of case studies. For eg the case study on "PLG Iceberg and the Canva Growth Story" had some meat, neat explanations with figures. The same could be applied to other case studies. For eg why Kite Failed where as GitHub's copilot succeeding could be deep and elaborated to get the real meat. Thus empower Product Managers to learn from case studies and have a well rounded understanding.
2. A real end to end case study of an AI Product from Competitive Analysis, Design, Dev to Growth and Marketing could be explained. It helps in getting a feel of the Journey.
3. Stickiness Element is Missing- The Book while touches base on all aspects, after the read, one does not feel he has levelled up in his knowledge quotient. This may depend on the current level the reader is, however driving home a point couldn't be seen.
Thanks again to the Authors and I hope this book and the review helps potential product managers out there.
Pretty Good Read, Could be Better!
Overall a Good Read. I truly appreciate the efforts the Authors are putting along with their full time jobs and family.
For Somebody Landing to such a book would want to know:
1. Difference between traditional product management vs AI Product management- shift in spectrum and paradigm. metrics, product market fit,
2. Difference in serving AI Products to B2B and B2C
3. GTM strategies for AI Products in context of B2B and B2C, challenges faced, real cases studies, Why some products are succeeding and some are failing etc
What's Good?
1. "Body of Knowledge"-The Book touch basis on all the points above. Gives basic body of knowledge to navigate the above concerns.
2. Ease of Readability and Absorbability- is good, no much beating around the bush.
What's Not So Good? And how it could be better.
1. "Prefer Quality of Case Studies rather than Quantity" : The Book offers case studies but are some what shallow. They authors do mention that "This case study is an interpretative analysis and may not encompass all factors" however as a reader I would prefer quality over quantity of case studies. For eg the case study on "PLG Iceberg and the Canva Growth Story" had some meat, neat explanations with figures. The same could be applied to other case studies. For eg why Kite Failed where as GitHub's copilot succeeding could be deep and elaborated to get the real meat. Thus empower Product Managers to learn from case studies and have a well rounded understanding.
2. A real end to end case study of an AI Product from Competitive Analysis, Design, Dev to Growth and Marketing could be explained. It helps in getting a feel of the Journey.
3. Stickiness Element is Missing- The Book while touches base on all aspects, after the read, one does not feel he has levelled up in his knowledge quotient. This may depend on the current level the reader is, however driving home a point couldn't be seen.
Thanks again to the Authors and I hope this book and the review helps potential product managers out there.
April 1, 2024
Based on the style -a lot of bullet points and small paragraphs-this book was also “built with generative AI”.
Some interesting links and ideas to follow up, especially about “hallucinations”, but overall very shallow and a lot of name dropping without substance.
Some interesting links and ideas to follow up, especially about “hallucinations”, but overall very shallow and a lot of name dropping without substance.
April 14, 2024
A very easy & quick read (took me less than a day) on the general AI space, with a detailed breakdown on top players, principals, as well as best practices. Will lend this for other PM friends to read and it's good to have a holistic understanding.
February 5, 2024
Mostly stuff you will find in VC newsletters.
Figures are copied from Bloomberg and twitter.
Looks like a long blogpost put together in a hurry.
Figures are copied from Bloomberg and twitter.
Looks like a long blogpost put together in a hurry.
June 23, 2024
This book left me disappointed. It’s neither wide, nor deep, which renders it practically inapplicabile. It’s like reading a never ending series od superficial linkedin posts.
Displaying 1 - 6 of 6 reviews