Takeaways from Disruptive Tech Conference; AI Not Slowing Down on Private Side

Research evidence excerpt

Takeaways from Disruptive Tech Conference; AI Not Slowing Down on Private Side

ld versus hours/days old can represent the largest factor

impacting personalized, useful experience and a generic, irrelevant experience.

The organizations that have been investing early in data infrastructure are the

ones capitalizing on the agentic AI opportunity to see tangible returns while the

companies that skipped this foundational stage find themselves stuck. As we

mentioned in our data deep dive, the data layer represents both the decisive

constraint, and the monetization unlock within the enterprise AI buildout.

Governance and Compliance No Longer Obligations, Rather Competitive

Advantages. With agentic deployments accelerating at scale, regulatory

requirements and security features that were previously seen as friction points

are now viewed as imperative with governance an increasingly important feature

of agentic buildouts. In highly regulated industries, the ability to demonstrate

auditability, data residency controls, and transparent decision trails is now a

prerequisite to entering the conversations, rather than just a nice-to-have feature

pointing to the significant controls needed prior to deploying agentic AI. The

governance around AI is now shifting to an offensive strategy rather than a

defensive strategy with companies that have spent time building compliance into

data architectures gaining customer trust faster with sales cycles accelerating faster

than competitors that viewed compliance as afterthoughts now scrambling to add

these features inherently. With AI agents taking autonomous actions with real

business consequences, the ability to explain, audit, and control those actions

is increasingly a focus that separates the players that get products and services