Data and Analytics 2030: The Future AI-Native Enterprise

By 2030, AI models may be everywhere. Competitive advantage won't be.

In this episode of Gartner ThinkCast, Distinguished Vice President Analyst and Chief of Research Rita Sallam explores what will separate the true leaders as AI becomes increasingly commoditized. Drawing from Gartner's vision for the AI-native enterprise, she outlines the critical shifts data and analytics leaders need to make now, from building trusted data and context foundations to rethinking workforce design, governance, and the role of AI agents in decision-making.

You'll learn:

Why trusted data will become the primary sources of AI differentiation
How AI agents will reshape data and analytics workflows and operating models
What AI-native organizations are doing differently to generate value
Why "questioneers" may become the workforce advantage of the future

Dig deeper:

Register to watch the full webinar
Enhance your data, analytics and AI strategy
See why Gartner is the world authority on AI

Timestamps:

(00:00) Intro

(01:40) A New AI Advantage

(03:25) Beyond Models and Infrastructure

(07:57) Three Shifts for D&A Leaders

(12:08) Human-Agent Teams

(16:45) Analytics Gets Automated

(20:42) Hiring for the AI Era

(22:40) Making AI Pay Off

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