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AI Observability: Should Tools Remain Standalone or Are They Expansion Opportunity for Observability Vendors?

Publisher IDC
Published Aug 18, 2023
Length 6 Pages
SKU # IDC18120380

Description

AI Observability: Should Tools Remain Standalone or Are They Expansion Opportunity for Observability Vendors?


This IDC Market Perspective examines AI observability, an observability subsegment, which is positioned to meet the growing demand for tools and best practices that support production ML and AI applications. "AI observability vendors predominantly target data quality and model performance and are typically used by data scientists," said Nancy Gohring, research director, Enterprise System Management Observability and AIOps Software at IDC. "While AI observability start-ups tend to argue that their tools have value as standalone products, IDC found that some established observability vendors expect to build and add AI observability to their suites of offerings. It is very early in the development of this subsegment and the lack of best practices around the management of models in production in the enterprise makes this a fast-changing sector."

Please Note: Extended description available upon request.

Table of Contents

6 Pages
Executive Snapshot
New Market Developments and Dynamics
WhyLabs
Arize
Mona Labs
Others
Established Observability Vendors
Advice for Technology Suppliers
Advice for Observability Vendors
Advice for Enterprises
Learn More
Related Research
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