生成式人工智能将如何改变数字内容服务

How Generative AI is Transforming Digital Content Services

出版日期: 2023年04月28日 | 出版商:

Frost & Sullivan | 英文 53 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

ChatGPT 由 OpenAI 于 2022 年底推出，是增长最快的消费者应用程序，在推出后的短短两个月内就获得了 1 亿次下载。随着 ChatGPT 的发布，AI 算法、专用处理器、云计算和大型分类数据集的组合已经迎来了生成 AI 的转折点。回答问题、撰写论文和撰写报告已成为相当普遍的用例，生成式 AI 用于编写代码、上市和敲定合同，所有这些都影响着整个行业。生成式人工智能将很快集成到这些工具中，并成为软件功能的一部分，作为数字助理来创建、启发、审查和总结数字内容。

本报告对生成式 AI 市场进行了研究分析，提供了影响市场增长、增长前景、增长机会分析、主要参与者概况等的战略要务。

内容

战略要务

为什么增长变得越来越困难？
战略要务 8 (TM)
三大战略要务对生成式 AI 行业的影响
增长机会推动增长 Pipeline Engine(TM)

成长环境

数字内容服务
生成式 AI 的定义和范围
生成式 AI 简介
新一代 AI 时间表
生成式 AI 流程概述
用于文本和图像创建的生成式 AI
生成式 AI 细分
生成式 AI 实施生态系统
生成人工智能的主要实现
生成式 AI 主要实现 - ChatGPT
新一代 AI 使用阶段
增长动力
抑制增长的因素

增长机会分析

生成式 AI 的主要文本模型
生成式 AI 的主要图像模型
生成 AI 使用示例
生成式 AI 用例说明

公司简介

开放人工智能
人择
稳定性.AI

增长机会领域

增长机会 1：跨产品线的聊天机器人集成
增长机会 2：企业数据准备
增长机会 3：在内部引入 AI 专业知识
增长机会 4：Metaverse 的扩展
生成式 AI 对数字内容服务的颠覆性影响

附录

简介目录

Product Code: K88D-70

ChatGPT Sparks Public Awareness of and Growth Opportunities for AI Platforms, Start ups, Cloud Providers, and Dataset Vendors

From its conception in the 1950s to early 2023, artificial intelligence (AI) underwent a series of improvements, from machine learning (ML) to deep learning (DL), which enabled it to mimic human responses (conversational AI), identify images (computer vision), and generate digital text, images, audio, and video, among other content types (generative AI or GAI).

No technology in recent memory has captured the public's imagination as has GAI in the form of ChatGPT. Released by OpenAI in late 2022, ChatGPT is the fastest-growing consumer application that reached 100 million downloads in just 2 months after launch. ChatGPT serves as a chat-based interface for users to generate all manner of text-based media, such as code, essays, and reports, among many other response types. Other forms of GAI create audio, video, images, games, and 3D models, among other digital content.

The combination of AI algorithms, dedicated processors, cloud computing, and large, categorized datasets led to the tipping point of GAI with the release of ChatGPT. Writing responses to questions, essays, and reports is a fairly universal use-case. Using GAI to write code, craft marketing copies, and summarize legal contracts, among other media, will lead to use-cases that will impact entire industries, such as integrated development environments for programmers, photography and image manipulation tools, video editors, and 3D modeling tools.

GAI will be integrated into such tools over the next several years. It can alleviate mundane work, and its integration into consumer applications and media creation tools will be like the integration of electricity into our daily lives. It will soon just be part of the functionality of software-a digital assistant to create, inspire, review, and summarize work in the form of digital content. GAI transforms digital content through new use-cases that replace how consumers and enterprises currently create it. As models develop to provide new capabilities, enterprises will replace old workflows with new ones until they find which steps GAI and humans do best. This repeats as new model capabilities emerge.

Strategic Imperatives

Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Generative AI (GAI) Industry
Growth Opportunities Fuel the Growth Pipeline Engine™