Report · from Databricks
Laying the foundation for data and AI-led growth
Ready to reinvent your data and AI strategy to capture exponential return in the new AI race? In this MIT Technology Review Insights report, you’ll gain an understanding from a global survey of 600 CIOs, CDOs, CTOs

- Format
- Report
- Published by
- Databricks
- Category
- Marketing Analytics & Data
- Added
- 19 Jun 2026
About this report
Ready to reinvent your data and AI strategy to capture exponential return in the new AI race? In this MIT Technology Review Insights report, you’ll gain an understanding from a global survey of 600 CIOs, CDOs, CTOs, chief architects and chief data scientists on the steps they are taking to be AI-ready. You’ll also hear best practices from C-level executives from the world’s best-known companies and organizations, including Starbucks, Condé Nast, Dell Technologies, GM, ADP, U.S. TSA, Regeneron and Razorpay. Lastly, you’ll learn from Databricks CIO Naveen Zutshi on operationalizing and scaling generative AI.
Explore key findings:
- 80% of execs expect big efficiency gains from AI. But what are they doing to pave the way?
- 74% have already made the move to lakehouse architecture. And how are they maximizing the ROI?
- 88% of executives have already started investing in generative AI. What are the most common use cases? Should companies buy or build LLM?
Listen or skim
Summaries are generated from this page’s text. Read the full piece for the detail.
More from Databricks
All 6 →
Maximize your organization’s potential for data and AI with data intelligence
The Data Intelligence Platform For Dummies is your guide to democratizing data and AI across your organization.

State of AI Agents
The agentic AI playbook for the enterpriseAI agents are starting to show what they can really do. Everyone’s talking about them, but only a small percentage of companies have agents in production. What does it take to

Learn the AI strategy behind highly successful data teams
The new MIT Technology Review report, Building a High Performance Data and AI Organization, explores how leading companies are translating trusted data, strong governance and unified platforms into measurable business
Elsewhere in Marketing Analytics & Data
See the category →
The Modern Marketing Data Stack 2026
AI has moved beyond features and into workflows. Systems now select tools, coordinate actions and shape decisions with limited human intervention. That changes the operating model for every marketing organization.

AI and predicive analytitcs
How AI can help boost travellers’ payment experiences.

How communications and media organizations can become data management leaders in the AI era
Today’s communications and media organizations contend with vast amounts of data. We surveyed 1,475 engineering, IT, and security professionals and learned that the majority (71%) of communications and media
