Data and Analytics 2030: The Future AI-Native Enterprise

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:

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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