生成式人工智能將如何改變數字內容服務

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個工作天內

價格

簡介目錄

ChatGPT 由 OpenAI 於 2022 年底推出，是增長最快的消費者應用程序，在推出後的短短兩個月內就獲得了 1 億次下載。隨著 ChatGPT 的發布，AI 算法、專用處理器、雲計算和大型分類數據集的組合已經迎來了生成 AI 的轉折點。回答問題、撰寫論文和撰寫報告已成為相當普遍的用例，生成式 AI 用於編寫代碼、上市和敲定合同，所有這些都影響著整個行業。生成式人工智能將很快集成到這些工具中，並成為軟件功能的一部分，作為數字助理來創建、啟發、審查和總結數字內容。

本報告對生成式 AI 市場進行了研究分析，提供了影響市場增長、增長前景、增長機會分析、主要參與者概況等的戰略要務。

內容

戰略要務

為什麼增長變得越來越困難？
戰略要務 8 (TM)
三大戰略要務對生成式 AI 行業的影響
增長機會推動增長 Pipeline Engine(TM)

成長環境

數字內容服務
生成式 AI 的定義和範圍
生成式 AI 簡介
新一代 AI 時間表
生成式 AI 流程概述
用於文本和圖像創建的生成式 AI
生成式 AI 細分
生成式 AI 實施生態系統
生成人工智能的主要實現
生成式 AI 主要實現 - ChatGPT
新一代 AI 使用階段
增長動力
抑制增長的因素

增長機會分析

生成式 AI 的主要文本模型
生成式 AI 的主要圖像模型
生成 AI 使用示例
生成式 AI 用例說明

公司簡介

開放人工智能
人擇
穩定性.AI

增長機會領域

增長機會 1：跨產品線的聊天機器人集成
增長機會 2：企業數據準備
增長機會 3：在內部引入 AI 專業知識
增長機會 4：Metaverse 的擴展
生成式 AI 對數字內容服務的顛覆性影響

附錄

簡介目錄

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™