AI Strategy
- AI Strategy (430)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (374)
- Uncategorized (32)
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How to Scale AI Pilots Into Everyday Operating Work
A practical operating model for choosing the right workflow, setting AI boundaries, measuring value, and scaling with auditable controls.
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Cost-Aware AI Model Selection: Pay for Accepted Work
A practical framework to compare AI models by accepted-result cost, test quality, choose hosting, and route production work with safe fallbacks.
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How to Design Production AI Guardrails for Sensitive Workflows
A practical control-plane design for routing sensitive data, constraining agent actions, enforcing approvals, testing failures, and preserving auditability.
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Gamma’s AI Pivot: Why the Blank Page Mattered More Than AI
Gamma’s pivot shows how to find an AI-native wedge, prove activation, price real value, and absorb enterprise demand without losing focus.
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How to Build Trustworthy AI Diagnostics for Women’s Health
A practical framework for defining clinical scope, communicating uncertainty, preventing automation bias and governing sensitive health data.
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AI Productivity Is Not a Product Outcome: Measure What Matters
A practical operating model for linking AI-enabled speed to customer behavior, business impact, quality guardrails, and deliberate capacity choices.
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AI-Assisted Behavioral Analytics: A Product Leader’s Playbook
A practical operating model for using AI to investigate user behavior, validate product insights, build cohorts, and turn launch data into safer decisions.
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How Snapbar Turned Crisis Into an AI-Native Photo Experience Revolution
Snapbar’s reinvention shows how a mature company can turn crisis into a durable AI product strategy. The company moved from physical photo booths to a WebRTC-based…
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From Static Scores to Adaptive Customer Health Intelligence
A practical framework for turning customer health from a lagging score into an adaptive system connecting behavior, context, and timely action.
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How to Operate AI Customer Agents as a Reliable CX System
A practical operating model links agent capabilities, release readiness, evaluation, measurement, and ownership into one continuous CX improvement loop.
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AI Product Leadership: Faster Learning, Safer Systems
A practical framework for improving product discovery and delivery while matching AI evaluation, privacy, and governance to real-world risk.
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Connecting Product Analytics, Attribution, and Growth Decisions
A practical framework for linking journey context, governed product data, AI-assisted analysis, and measurable action without overstating attribution.
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Behavioral Analytics for AI Agent Activation and Retention
A practical framework for measuring an AI agent’s first useful outcome, repeat value, and behavior-triggered interventions without mistaking activity for trust.
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How I Make AI Agents Speak Like Our Team: A Conversation Design Playbook That Lifts CSAT
Your AI Agent will sound like an LLM unless you intentionally design how it communicates. I share a practical conversation design playbook covering tone, response structure,…
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AI Inference Economics: Optimize for Value, Not Cost
A practical framework for balancing AI inference cost, latency, and quality against conversion, retention, support demand, and revenue.
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How I Use Novus, the First Product Agent, to Turn Rapid Releases into Measurable Wins
Rapid releases don’t have to blur what’s working. I use Novus to connect code velocity to customer outcomes with eval-driven development, observability, and continuous discovery—without drowning…
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Salesforce to Acquire Fin for ~$3.6B: Powerful AI Synergy, Product Strategy Takeaways
Salesforce will acquire Fin for ~$3.6B, with the deal expected to close in the fourth quarter of Salesforce’s fiscal year 2027. The announcement caps a bold…
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Claude Code for Product Managers: Accelerate Prototypes, Validate Faster, Ship with Confidence
Claude Code helps me turn ambiguous product ideas into testable prototypes, grounded analyses, and instrumented experiments in a fraction of the time. By pairing it with…
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Beyond Black‑Box Scores: Custom AI That Elevates Trust & Safety Without Burnout
Off-the-shelf moderation scores miss nuance and force teams into painful manual review. In this episode, I explore how Musubi blends traditional ML with LLMs, policy optimizers,…
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Secure System Access for AI Agents: A Phased Control Model
A practical framework for giving AI agents narrowly scoped system access through phased permissions, independent controls, and measurable safeguards.
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