Senior leaders
C-suite, EVPs and SVPs, directors, and technology department heads
Interviewed for the report. Meet them ↓
In association with
New research · Publishing soonOut now
What's really holding enterprise AI back?
MIT Technology Review Insights polled 250 executives on where their AI stands and what is holding it back. 68% of organizations rank governance, business understanding, or trustworthy outputs as their biggest AI barrier. Sign up now and read it first.
Who answered
Executives at organizations like yours
4 regions
North America Europe Asia-Pacific Middle East and Africa
$100M to $5B+
In annual revenue
12 industries
From banking and healthcare to aerospace and retail
- Banking and finance
- Technology
- Healthcare
- Life sciences and pharma
- Retail
- Consumer goods
- Media and telecom
- Energy and utilities
- Automotive
- Aerospace and defense
- Transportation
- Construction
Who we interviewed
The pioneers of enterprise AI
Vidyut Naware
Vice President, AI Architect
Unless AI is grounded in your enterprise knowledge and in your enterprise's way in which it operates, it is still going to be very prone to hallucination, very prone to not acting like Verizon would.
Joe DosSantos
Vice President, Enterprise Data and Analytics
Context gives AI “the strategy for finding the right answer.”
Prukalpa Sankar
Co-founder
This cannot be a two-year-long ontology project. This needs to be something that you can get to business value in the next three months.
What the poll found
What 250 executives told
MIT Technology Review Insights
What's inside
What the report answers
- How far most organizations have really gone with AI, and how returns change at each stage
- The top three challenges blocking organizations from making progress with AI
- How you can start building your organization's context
- Who owns AI at the organizations that have agents in production
- How Verizon and Workday build, test, and own the context their agents run on
Watch the report come to life.
On October 28, leaders from Verizon and Workday walk through what they built, live at Context Conference.
Featured sessionsSee the full agenda →
Inside Verizon's context architecture
Steven HuangThe architect behind Verizon’s Enterprise Context Platform
Architecture deep diveStarts at 11:50 AM ET
The Post-AI Data Stack: A blueprint for analytics agents
Joe DosSantosVice President, Enterprise Data & Analytics
Piyush BhargavaSr. Director, Global Data & Analytics
Sowmya ParthanSr. Director, Data Platform & AI Engineering
Austin KronzField CDAO
Builder session + customer panelStarts at 12:30 PM ET