AI POCs—the Pathway from Innovation to ROI
A proof-of-concept (POC) is a realization of a technical (AI) capability that demonstrates its potential for value and viability.
From my experience, the power of a POC comes from its ability to start with well-defined scope and success criteria.
Falling in Love with the Problem
With so many tools, it’s easy to get distracted.
It’s tempting to jump straight into the latest model architectures, prompts, or LLMs.
Fall in love with the problem—not the solution.
AI PM Guiding Principles
AI Product Management is as much Art as it is Science 🔥
Most AI products fail—not because the models are bad, but due to a few hard truths that product teams ignore.
Unlocking Business Value with AI
AI isn’t a shiny new tool—it's actually been around for a while.
I’ve witnessed firsthand how AI can jumpstart workflows, but only when implemented thoughtfully.
The key is understanding the value prop that AI can deliver along with the guardrails that come with it.
From Replit with Vibes
The pace of AI product development is accelerating rapidly.
AI providers are over-indexing on speed to market while achieving product-market fit.
Despite the contentious debate surrounding vibe coding, its potential for rapid ideation to prototype is undeniable, particularly for AI Product Managers.
Is AI a silver bullet?
Most of the time, it's not.
Previously, we laid the groundwork for AI product strategy.
Once that's in place, it’s time to get real: when does AI make sense to implement?
AI History 101 📚
Okay, settle down class.
Let's open our textbooks to page 6—and learn about the history of AI.
AI Jargon 101
Imagine sitting in a meeting, and instead of debating ROI, your team is discussing the vibes of your latest AI tool.
Sounds absurd, right?
AI UX: Building at the Speed of Trust
UX for Gen AI apps involves building a useful, human-centric UX that's essential for Product Managers to get right from the get-go.
Deepseek AI Made Quite the Splash 🐋
DeepSeek AI made quite the splash in January due to several innovations the Chinese company took to model training and inferencing to produce a competitive reasoning model vs. o1 et al.
The Unsung Heroes Orchestrating ROI
AI Product Managers (PMs) act as critical conduits between business objectives and AI capabilities.
We lead workshops, bringing together business, technology, and AI teams to prioritize and identify challenges to uncover new opportunities by leveraging AI.
Embracing Failure
I debated writing this post—spoiler alert! It has nothing to do with AI.
It’s about embracing failure—as painful as it is, it’s the secret ingredient for success.
Mastering AI Product Strategy for Success 🔥
In today's digital landscape, where AI products reign supreme, a group of unsung heroes is orchestrating the symphony of innovation behind the scenes.
Enter the AI Product Manager, the mastermind who seamlessly blends business acumen, technical prowess, and customer-centric thinking to craft award-winning product strategy.
The Future of Product Management is Looking Bright
“As coding becomes more efficient, teams will need more product management work (as well as design work) as a fraction of the total workforce. Perhaps engineers will step in to do some of this work, but if it remains the purview of specialized Product Managers, then the demand for these roles will grow.” — Andrew Ng
The Turing Test
“A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.” — Alan Turing
Understanding AI vs. Business Strategy
AI has become table stakes and a business priority for gaining a competitive edge.
To harness AI's full potential, AI Product Managers need a well-crafted strategy that aligns with business priorities.
Unlocking the Power of AI Strategy
In today's data-driven world, understanding AI strategy is no longer a luxury, it's a necessity.
At the heart of any successful AI implementation lies a strong strategic framework that recognizes the interconnectedness of business, data, and AI.
This is where we begin our journey.