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Building AI-Powered Products

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Building AI-Powered Products

The Essential Guide to AI and GenAI Product Management

O’Reilly,

15 Minuten Lesezeit
8 Take-aways
Audio & Text

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Learn smart strategies for every step of the AI product development cycle.

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The proliferation of AI models is bringing new challenges and opportunities to the product manager role. Organizations of all kinds are looking to incorporate AI into their products, and it’s up to project managers to ensure these tools enhance product value and address customer pain points. In this helpful guide, AI product leader Marily Nika leads readers through the AI product development cycle, which differs in notable ways from that of non-AI products. Her actionable strategies, real-world examples, and suggested frameworks will help both current and aspiring AI product managers navigate the process of building AI-driven products.

Summary

AI product managers have unique responsibilities.

Artificial intelligence (AI) as a research field has existed since the 1950s, when scientists took up British mathematician Alan Turing’s challenge to teach machines to think and reason like humans. The goal of AI was always to get computers to perform human-like cognitive tasks, such as reasoning, perceiving in visual and auditory modes, speaking and writing natural languages like English or German, and learning through processing data sets.

In its early decades, AI’s progress was limited by hardware and sheer computing power. Advances in computer chips, vast increases in computing power, and more sophisticated machine learning (ML) techniques, combined with an abundance of available data, have opened wholly new horizons for artificial intelligence.

Though artificial general intelligence (AGI) and artificial superintelligence (ASI) could emerge in the not-so-distant future, advanced generative artificial intelligence (GenAI) already has viable, practical applications in real-world products. The role of today’s AI product managers is to make these new and powerful technologies useful and valuable to product...

About the Author

Marily Nika is a computer scientist, AI product leader, and educator known for her work at Google and Meta in augmented reality, speech technologies, and artificial intelligence. She founded AI Product Academy, co-founded Geekettes and Greek Women Do Tech, and is a Harvard Business School Fellow. 

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