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Generative AI Augmenting the Traditional AI and Machine Learning Life Cycle

Publisher IDC
Published Jul 23, 2024
Length 11 Pages
SKU # IDC19024016

Description

Generative AI Augmenting the Traditional AI and Machine Learning Life Cycle


This IDC Perspective highlights the transformative impact of generative AI (GenAI) on the traditional AI and machine learning life cycle, emphasizing its role in enhancing efficiency, accelerating model development, and addressing talent gaps. By embedding GenAI within the AI/ML life cycle, organizations can leverage foundation models to automate and improve various life-cycle tasks, from data preparation to deployment, thereby driving adoption and optimizing AI/ML investments."Foundation models are game changers not only for many new GenAI-based applications but also for streamlining traditional AI/ML drudgery," says Kathy Lange, research director, AI Software at IDC. "They have the potential to revolutionize each step of the machine learning life cycle, from data preparation to deployment and monitoring."

Please Note: Extended description available upon request.

Table of Contents

11 Pages

Executive Snapshot

Situation Overview

IDC's Point of View

Copilots

Bias Detection

Data Pipelines

Feature Pipelines

Train Model

Validate and Integrate

Deploy and Monitor

Enterprise Needs

Vendor Integration of Foundation Models in Commercial AI/ML Platforms

Advice for the Technology Buyer

Learn More

Related Research

Synopsis

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