top of page
Stay ahead with data & AI trends, leadership, and personal growth insights by subscribing today
Featured Post
The AI Talent Squeeze: Why Your Most AI-Fluent Employees Are Also the Most Likely to Leave
Every enterprise wants an AI-engaged workforce. The exact employees who become that workforce are the ones the market wants most. Discover why retention is now one of the most underrated AI strategies of 2026, what actually works to hold AI-fluent talent, and how the preceptor role becomes a retention moat.
The Leadership Flywheel: How AI Leaders Compound Competitive Advantage
The greatest AI advantage is not automation—it is accelerated learning. Discover the AI leadership flywheel—productivity, reinvestment, innovation, and scale—and how the leaders who build it compound competitive advantage cycle after cycle.
AI Leadership Edge: The Week AI Investment Outpaced AI-Ready Leadership
Enterprise AI investment hit $8 billion this week, but McKinsey finds 72% of organizations aren't ready for the changes AI requires. What Data & AI leaders should do to close the readiness gap.
From AI Projects to AI Operating Models
Winning companies do not implement AI—they redesign how the business runs. Discover why the AI operating model—embedded workflows, AI as infrastructure, continuous strategy loops, and execution systems—turns potential into durable competitive advantage.
Portfolio Leadership: How Data & AI Executives Now Manage Models Like Assets, Not Tools
Model access has commoditized. Betting a five-year architecture on one vendor is now a leadership risk. Discover how the best Data & AI executives are running a real portfolio — across models, use cases, risk tiers, and horizons — and what the 70/20/10 discipline looks like in practice.
AI Pulse: The Week AI Infrastructure Investment Overtook the Model Race
Anthropic's $35B infrastructure deal and new McKinsey agent-scaling data reveal a shift already underway: enterprise AI investment is moving from models to infrastructure and governance readiness.
The Answer-Key Model: Redesigning Entry-Level Roles for the AI Era
AI has absorbed the routine tasks through which entry-level employees once learned. Discover Play 2 of building expertise in the age of AI: the answer-key model for entry-level role design—attempt first, AI grades, manager discusses the difference—and why the comparison step is where judgment gets built.
AI-First Culture: Why Technology Adoption Is Actually a Leadership Problem
Most organizations don't fail because AI is weak—they fail because culture resists change. Discover why an AI-first culture is a leadership problem: adoption over algorithms, communication, psychological safety, and leaders who model the change.
Codify the Way Your Best Performers Think: The Knowledge Management for the AI Era
Every organization has an invisible library of judgment in the heads of its best performers. In the AI era, that library must be codified—or neither AI nor the next generation can reach it. Discover Play 1 of building expertise in the age of AI: knowledge management as the substrate every other play depends on.
AI Is Becoming Infrastructure: Long Context, Custom Silicon, and Why Energy Is the New Bottleneck
The most important AI story of late July 2026 isn't a model launch—it's what sits beneath every model. Long-context models, TPU 8i vs 8t, confidential compute, sovereign-scale build-outs, and energy as the new bottleneck are quietly rewiring enterprise AI infrastructure.
The Rise of the Agent Fleet: Enterprise Agentic AI Is Moving From Pilots to Production Workforces
In late July 2026, enterprise agentic AI grew up. Cisco, HPE + NVIDIA, Squirro, and 8090 Labs signaled the same shift: from single-agent pilots to production agent fleets. Discover what the fleet moment means for data & AI leaders in week 1 of August.
bottom of page