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IDC PeerScape: Best Practices for Overcoming Enterprise Machine Learning Operations Challenges to Fortify Enterprise Intelligence

Publisher IDC
Published May 03, 2023
Length 7 Pages
SKU # IDC17916019

Description

IDC PeerScape: Best Practices for Overcoming Enterprise Machine Learning Operations Challenges to Fortify Enterprise Intelligence


This IDC PeerScape discusses best practices for overcoming enterprise MLOps challenges."MLOps is a team sport. It requires collaboration and collective learning among data engineers, data scientists, ML engineers, and business experts with different skills and tools," said Kathy Lange, research director, AI Software research at IDC. "Standardizing and automating MLOps processes are vital for delivering insights at scale across the enterprise and delivering value from AI investments. MLOps can help organizations overcome short-term skills shortages while they reskill, build critical talent, and improve AI maturity."

Please Note: Extended description available upon request.

Table of Contents

7 Pages
IDC PeerScape Figure
Executive Summary
Peer Insights
Practice 1: Build an Integrated Team with a Multidisciplinary Skill Set
Challenge
Example
Retail Pharmacy
Guidance
Practice 2: Create a Standardized Machine Learning Software Stack and an Automated Deployment Process
Challenge
Example
Financial Services Firm
Guidance
Practice 3: Take a Phased Approach to Deliver AI Value Using MLOps; Start with a Solid Data Foundation
Challenge
Example
Global Automotive Distributor
Guidance
Learn More
Related Research

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