AI adoption is outpacing the readiness of the data and controls it depends on. Agents are acting across business systems, boards expect measurable returns, and employees need confidence in the answers they use. Coming soon, Data Priorities 2027 makes a clear case: expanding AI requires sustained investment in the data and controls that support it. The report sets out five connected priorities for Data leaders: establish shared business definitions for people and AI; unify operational, analytical, and unstructured data; govern agents as they operate; align data investment with business outcomes; and define when AI answers can be trusted. Each priority offers a practical starting point, helping leaders begin with a business decision that matters and build from there.
Talk to our analyst about this research
This research isn't live yet, but if you would like to speak to someone about this topic early, we're happy to connect you with an analyst.
Book an Analyst CallIf you are a media professional who would like to cover this research upon its release, please contact pr@infotech.com.
Establish an Analytics Operating Model
Create and Manage Enterprise Data Models
Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Establish the Target Operating Model Needed to Execute Your Data Strategy
Activate Data Governance
Build a Data Architecture Roadmap
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build Your Data Quality Program
Mitigate Machine Bias
Design Data-as-a-Service
Define the Components of Your AI Architecture
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
Establish Data Governance – APAC Edition
Foster Data-Driven Culture With Data Literacy
Generative AI: Market Primer
Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
Promote Data Literacy in Your Organization
Define a Data Practice Strategy to Power an Autonomous Enterprise
Fueling AI Greatness: The Critical Role of Data & AI Literacy
Building the Road to Governing Digital Intelligence
Map Your Data Journey
Launch a Customer-Centric Data-as-a-Product Journey
Data Priorities 2026