Why AI Transformation Is Really a People Problem

Why companies fail at AI

We run performance review cycles at Remote in 48 hours using AI. What used to take eight weeks, running the cycle for almost 2,000 people, now takes two days. People ask how we prepared for that. Honest answer: We didn’t prepare for AI at all. We had monthly check-ins, consistent documentation, and calibration sessions. We did this because that’s just what running a company well looks like, not because we were building toward some AI future. Whe…

Dell CTO John Roese: Partners, culture, and governance are all layers of AI transformation

AI success depends on disciplined execution, governance, culture change, startup innovation, and human relationships, said Dell global chief technology officer (CTO) John Roese. For Dell, this means partners are not an optional route to market – they are one of the primary delivery mechanisms for enterprise and sovereign AI transformation. The vendor’s experience as customer zero and findings from its phase 2.0 journey has been critical, as it h…

Full-scale AI agent adoption remains years away for enterprises

Most organizations will need to overhaul their business processes, data and workforces before reaching widespread adoption of agentic AI, Deloitte found.

Scaling AI agents with trustworthy data

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data…

Why AI Transformation Is Really a People Problem

Tech Transformed host Christina Stathopoulos speaks with Jay Richman of Multiverse about why AI transformation is a people problem and how businesses can turn AI investment into measurable value.