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Generative AI in Engineering — A Revolution in Process

Publisher IDC
Published Jun 05, 2023
Length 8 Pages
SKU # IDC17999922

Description

Generative AI in Engineering — A Revolution in Process


This IDC Perspective explores the opportunities and challenges for generative artificial intelligence (GAI) tools, such as Open AI's ChatGPT, to improve engineering and product/process development. This document reviews fundamental aspects of how AI-driven content generation works, including the programmatic nature of creating new content and the role of large language models (LLMs) for training the GAI. This document also describes two strategies for deploying GAI to address the specific engineering needs of manufacturers, and it identifies the opportunities and risks. Finally, recommendations are provided for technology customers, vendors, and consultants."Generative AI represents a revolution that will significantly improve engineering for product and process development. Generative AI will enable engineers to achieve new levels of product innovation and creativity and will address many of the current talent shortages by upskilling employees and improving development processes that optimize product design, manufacturing, sourcing, and service," said John Snow, research director, Product Innovation Strategies at IDC.

Please Note: Extended description available upon request.

Table of Contents

8 Pages
Executive Snapshot
Situation Overview
Generative AI — Creating New Content
Content Basics
Imposter Syndrome
No Search Required
Generative AI — LLM Strategies
Upskilling Employees — Fake It Till You Make It
Mentoring Employees — Knowledge Management on Steroids
Generative AI — Moving Forward
Balancing Opportunities and Risks
Applications Worth Considering
Why It Matters
Technology Customers
Technology Vendors
Technology Consultants
Advice for the Technology Buyer
Learn More
Related Research
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