Flying Blind On a Rocket Cycle: Customer-Centered Product Strategy For Machine Intelligence - Part 2 скачать в хорошем качестве

Flying Blind On a Rocket Cycle: Customer-Centered Product Strategy For Machine Intelligence - Part 2

I've recorded voice-over narration for my ProductCamp Boston 2024 session, Flying Blind On a Rocket Cycle: Customer-Centered Product Strategy For Machine Intelligence. Originally presented live for a cozy in-person audience, the driving (*cough* - the Italian word for driver is ‘pilota’…) concept behind this case study format was recreating the experience of doing product strategy for an emerging enterprise technology space in real time, by offering the audience a sort of co-pilot’s (*cough* - not a GenAI co-pilot…) view through the windshield for shared learning purposes. Here's an outline of the complete session. Part 1 1. Intro, Business Landscape, Acquisition 2. The Product Strategy Cycle & Customer-centricity 3. Business Strategy & Product Strategy 4. Opportunity Assessment: Emerging Space - Data Science 5. Product Discovery: New Category - Visual Discovery and Analysis, Market / Competitors 6. Product Planning: New Product - Big Data Discovery Part 2 7. Investment: Product Demo, Machine Intelligence Capabilities 8. First Cycle Outcome 9. Customers As North Star and Gravity 10. Second Cycle: Opportunity, Discovery, Planning, Investment - Feature Selection 11. Second Strategy Cycle Review 12. Third Cycle: Opportunity, Discovery, Planning, Investment - Modeling & Machine Learning 13. Third Strategy Cycle Review 14. Fourth Cycle: Opportunity, Discovery, Planning, Investment - Machine Learning Service 15. Fourth Strategy Cycle Review 16. Future Strategy Cycles: Automation, Data Pipelines, Infrastructure, Operational Intelligence 17. Long Term Outcomes: Product, Strategy, Business This particular story of building out new analytics products, categories, and portfolios happened a while back in tech terms, in the pre-transformer era of AI, when deep learning was new. In addition to being strongly enterprise focused, unlike much of the readily available material on product strategy, it’s timely on more than one level thanks to abundant parallels with our current AI-focused moment. Session description: "Using the product strategy cycle as a guide, this session shares a case study on the growth and evolution of B2B product portfolios driven by machine intelligence for a leading SaaS product maker. This case study reviews a series of new product efforts; outlines the methods, tools, and practices that powered opportunity assessment, product discovery, and strategic planning; traces the evolution of product portfolios; and considers business outcomes from building and growing a portfolio of new analytics products and services for Oracle over the course of several years." This case study illustrates and demonstrates: Crafting customer-centered product strategies for new machine intelligence / AI / ML technologies Building and evolving customer-centered products and portfolios, and new product categories Establishing effective, innovative, customer-centered product strategy capabilities and practices for emerging spaces