Chris Heuer on Why Digital Transformation Still Fails at the Organizational Level
The technology is rarely the hardest part. The deeper problem is the operating model companies refuse to change.
Business, technology and what comes next.
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Reporting, analysis, interviews and field coverage from across NextNow.
The technology is rarely the hardest part. The deeper problem is the operating model companies refuse to change.
Retail-media networks built their value around first-party data and closed-loop attribution. As investment climbs, brands are demanding common standards, credible incrementality and evidence that reported returns translate into genuine business growth.
Capability claims matter less than integration, governance and the cost of operational change.
Customer growth increasingly depends on shared data, coordinated workflows and clear operating accountability.
OpenAI, Anthropic, Google and Meta were called to Washington to discuss a voluntary framework for government testing of the most capable U.S. AI models.
Attribution can show where a conversion was recorded. Brands increasingly need to know which investment caused profitable growth.
Enterprise teams are moving from accumulating applications to defining which systems truly deserve budget and operational dependence.
A design-preview breaking-news package showing how NextNow will add context to fast-moving platform updates.
The transition from experimentation to expectation will expose which organizations built capability—and which only bought access.
Companies are beginning to treat accumulated context as infrastructure rather than institutional folklore.