The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

Cover Page....2 Table of Contents....3 Preface....5 Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well....11 Chapter 1: Understanding the Infrastructure and Tools for Building AI Products....12 Definitions – what is and is not AI....13 ML versus DL – understanding the difference....16 Learning types in ML....19 The order – what is the optimal flow and where does every part of the process live?....24 Managing projects – IaaS....31 Deployment strategies – what do we do with these outputs?....32 Succeeding in AI – how well-managed AI companies do infrastructure right....34 The promise of AI – where is AI taking us?....36 Summary....38 Additional resources....39 References....40 Chapter 2: Model Development and Maintenance for AI Products....42 Understanding the stages of NPD....42 Model types – from linear regression to neural networks....47 Training – when is a model ready for market?....49 Deployment – what happens after the workstation?....54 Testing and troubleshooting....57 Refreshing – the ethics of how often we update our models....59 Summary....63 Additional resources....64 References....65 Chapter 3: Machine Learning and Deep Learning Deep Dive....67 The old – exploring ML....68 The new – exploring DL....69 Emerging technologies – ancillary and related tech....84 Explainability – optimizing for ethics, caveats, and responsibility....85 Accuracy – optimizing for success....87 Summary....88 References....89 Chapter 4: Commercializing AI Products....92 The professionals – examples of B2B products done right....93 The artists – examples of B2C products done right....95 The pioneers – examples of blue ocean products....98 The rebels – examples of red ocean products....100 The GOAT – examples of differentiated disruptive and dominant strategy products....102 Summary....107 References....107 Chapter 5: AI Transformation and Its Impact on Product Management....109 Money and value – how AI could revolutionize our economic systems....111 Goods and services – growth in commercial MVPs....114 Government and autonomy – how AI will shape our borders and freedom....117 Sickness and health – the benefits of AI and nanotech across healthcare....121 Basic needs – AI for Good....123 Summary....125 Additional resources....125 References....126 Part 2 – Building an AI-Native Product....130 Chapter 6: Understanding the AI-Native Product....131 Stages of AI product development....132 AI/ML product dream team....137 Investing in your tech stack....143 Productizing AI-powered outputs – how AI product management is different....145 AI customization....147 Selling AI – product management as a higher octave of sales....149 Summary....151 References....151 Chapter 7: Productizing the ML Service....153 Understanding the differences between AI and traditional software products....153 B2B versus B2C – productizing business models....164 Consistency and AIOps/MLOps – reliance and trust....169 Performance evaluation – testing, retraining, and hyperparameter tuning....170 Feedback loop – relationship building....172 Summary....173 References....174 Chapter 8: Customization for Verticals, Customers, and Peer Groups....175 Domains – orienting AI toward specific areas....176 Verticals – examination into four areas (FinTech, healthcare, consumer goods, and cybersecurity)....184 Anomaly detection and user and entity behavior analytics....190 Value metrics – evaluating performance across verticals and peer groups....191 Thought leadership – learning from peer groups....195 Summary....196 References....196 Chapter 9: Macro and Micro AI for Your Product....198 Macro AI – Foundations and umbrellas....199 ML....201 Robotics....206 Expert systems....208 Fuzzy logic/fuzzy matching....208 Micro AI – Feature level....209 ML (traditional/DL/computer vision/NLP)....210 Successes – Examples that inspire....214 Challenges – Common pitfalls....217 Summary....221 References....222 Chapter 10: Benchmarking Performance, Growth Hacking, and Cost....223 Value metrics – a guide to north star metrics, KPIs and OKRs....224 Hacking – product-led growth....234 The tech stack – early signals....237 Managing costs and pricing – AI is expensive....245 Summary....246 References....247 Part 3 – Integrating AI into Existing Non-AI Products....249 Chapter 11: The Rising Tide of AI....250 Evolve or die – when change is the only constant....251 The fourth industrial revolution – hospitals used to use candles....254 Fear is not the answer – there is more to gain than lose (or spend)....261 Summary....266 Chapter 12: Trends and Insights across Industry....267 Highest growth areas – Forrester, Gartner, and McKinsey research....268 Trends in AI adoption – let the data speak for itself....275 Low-hanging fruit – quickest wins for AI enablement....281 Summary....283 References....284 Chapter 13: Evolving Products into AI Products....286 Venn diagram – what’s possible and what’s probable....287 Data is king – the bloodstream of the company....293 Competition – love your enemies....299 Product strategy – building a blueprint that works for everyone....301 Red flags and green flags – what to look for and watch out for....308 Summary....311 Additional resources....312 Index....314 Why subscribe?....335 Other Books You May Enjoy....336 Packt is searching for authors like you....337 Share Your Thoughts....337 Download a free PDF copy of this book....338