Who Owns the Outcome? Governing the Age of AI Sprawl
AI agent sprawl is outpacing enterprise governance. Here's why that's a leadership problem — and what the governance stack actually needs to look like.
Tag: Enterprise Technology
15 articles tagged with "Enterprise Technology"
The Rise of Artificial Confidence
AI delivers answers with total certainty, even when it's wrong. How artificial confidence is quietly eroding critical thinking in technical teams.
Part 3 — Edge AI in the Developer’s Workflow
Edge AI is moving from IoT devices to developer laptops. Running models locally eliminates latency, outage risk, and cloud costs in day-to-day coding.
AI at the Crossroads (Part 2): Rising AI Costs and the Push to the Edge
Cloud AI costs are rising fast, and token economics change how teams build. Part 2 explores why edge computing is becoming the pragmatic alternative.
AI at the Crossroads (Part 1): Why the Edge Matters More Than Ever
Cloud computing democratized AI, but rising costs and latency are pushing compute back to the edge. Why the next era of AI may not live in the cloud.
A Second Set of Eyes: How AI Is Quietly Crowdsourcing Our Workflows
AI’s biggest near-term value isn’t automation — it’s acting as a second set of eyes. How personal crowdsourcing is quietly reshaping how we work.
The AI Hype Trap: Why You Should Be Skeptical of Overnight Success Stories
“Most AI success stories collapse under basic business scrutiny. How to separate real product-market fit from tech theater and weekend demos.”
The Real AI Transformation Starts When You Stop Talking About AI
The companies getting real value from AI have stopped talking about it. What post-hype AI adoption looks like when it's embedded in actual workflows.
The Developer Paradox: Why Technology Innovation and AI Keep Creating More Dev Jobs
Every productivity tool was supposed to reduce demand for developers. Instead, the industry grew from under 1M to 27M. Why AI will likely do the same.
What It Means to Be Data Intentional
Most organizations collect far more data than they use. A data intentionality strategy focuses collection on what matters and turns it into decisions.
What It Means to Be Data Intentional
Most organizations collect far more data than they use. A data intentionality strategy focuses collection on what matters and turns it into decisions.
The Healthcare Industry is Prime for Curing the Paper Problem with Context
Healthcare still runs on paper despite decades of IT investment. Semantic technology and contextual data capture can reduce the back-office burden.
Building an Empire of Knowledge with Semantic Data
Knowledge graphs and semantic data are the foundation of the autonomous enterprise. Why being data-driven isn't enough — you need to be context-driven.
Why Enterprise Survival Depends on a Context Driven Approach to Data
Enterprises invest heavily in big data and AI but struggle with ROI because most data is inaccessible. A context-driven approach unlocks the value of dark data.
Progressing the Digital Worker with Context
Most organizational data is dark and inaccessible. Enriching captured data with business context is the key to enabling digital workers and automation.