target audience: TECH BUYER Publication date: Nov 2021 - Document type: IDC Perspective - Doc Document number: # US48354321
Accelerate Innovation and Sustainable Competitive Advantage with a Solid Data Strategy for AI
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Abstract
This IDC Perspective covers the importance of a solid data strategy for AI. It includes the current challenges and provides guidance on putting together a foundational data strategy for AI. It covers data strategy for AI goals and components like data defense versus offense, single source multiple versions, data architecture for diverse data landscapes, intelligent data fabric, feature stores, organizational roles, and data/AI governance.
"Artificial intelligence (AI) is changing the rules of the game for almost every industry. AI applications are fueled by data to function and provide outputs. The success of an AI model is highly dependent on the relevance and accuracy of the data that is fed into it. Hence creating an appropriate data strategy is a prerequisite for building and deploying a successful AI model." — Ritu Jyoti, group vice president, AI and Automation research at IDC. "Without a data strategy for AI, an organization's efforts will be greater than necessary, risks will be magnified, and chances of success will be reduced."