Beyond the Hype: Understanding Diverse AI Capabilities and the Data Necessary to Power Them

Beyond the Hype: Understanding Diverse AI Capabilities and the Data Necessary to Power Them


This IDC Perspective discusses the different types of AI — predictive, interpretive, and generative — and their impact on data connectivity needs. It highlights the importance of understanding these categories to maximize value from AI investments using data from IDC's September 2023 Future Enterprise Resiliency and Spending Survey, Wave 8, as well as IDC's August 2023 GenAI ARC Survey. Despite the hype around generative AI, more investments are planned in interpretive AI and predictive AI due to their proven value. The document also emphasizes the importance of data connectivity and quality for successful AI implementations and provides advice for technology buyers.According to Shari Lava, research director within the AI and Automation team at IDC, "Data is oxygen to AI. To maximize value from AI investments, technology leaders must understand different AI capabilities and the data requirements needed to fuel each capability."

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
Introduction
The Importance of Data Connectivity
Future Use Cases
Advice for the Technology Buyer
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Related Research
Synopsis

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