Text-to-X – How ChatGPT and Generative AI can Transform the Future of Business

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Accessing in-depth insights from the ‘Text-to-X – How ChatGPT and Generative AI can Transform the Future of Business’ report will offer you:

  • Innovation examples by each use case segment of various sectors to present key trends.
  • Real-world innovation use cases and examples related to the implementation of ChatGPT and generative AI by companies across sectors.
  • How generative AI-enabled innovations are developing use cases that are helping enterprises across different sectors.

How is the report different from other reports in the market?

  • No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has all of the sudden become the key catalyst to drive the next wave of innovation across sectors.
  • The report uses expert analysis to showcase how enterprises are quickly leveraging generative AI for use cases such as advanced search, content generation, data augmentation, and customer management, among others across various sectors.
  • The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors.
  • Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
  • Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.

We recommend this valuable source of information to anyone involved in:

  • Technology Leaders and Startups
  • Strategy, Marketing and Business Development
  • Market Intelligence and Portfolio Managers
  • Professional Services – Investment Banks, PE/VC firms
  • M&A and Investment Consultants
  • Management Consultants and Consulting Firms

 To get a snapshot of the ‘Text-to-X – How ChatGPT and Generative AI can Transform the Future of Business’ report, download a free report sample

ChatGPT Trend Overview

ChatGPT is a conversational assistant platform built on OpenAI’s generative pre-trained transformer 3 (GPT-3) family of large language models, more specifically, the GPT-3.5 model. It is a buzzword in the tech world and will have over 100 million users by the end of February 2023.

Popular Generative AI Applications (Text-To-X)

Popular Generative AI Applications (Text-To-X)

For more insights into the applications of Generative AI, download a free report sample

Generative AI is a subset of artificial intelligence technology that can produce various types of content based on input data. The generated output is very similar to human-generated content such as text, imagery, audio, and synthetic data.

The ‘text-to-x – how ChatGPT and Generative AI can transform the future of business’ report showcases how enterprises are quickly leveraging generative AI for use cases such as advanced search, content generation, data augmentation, and customer management, among others across various sectors.

Key Use Cases Advanced Search, Contract Management, Dynamic Interaction, Product Development, Asset Management, Customer Management, Generative Design, Risk Management, Content Generation, Data Augmentation, and Process Management
Key Ecosystem Players Google, Microsoft, IBM, Nvidia, Salesforce, Baidu, Meta, JD.com, Open AI, Sportify, and CSM

Generative AI - Popular Techniques

Generative AI applications are mostly based on three key deep learning techniques. They are Generative Adversarial Networks (GAN), Variational Auto-Encoder (VAE), and Transformers. 

Transformers: A transformer is a deep learning model that learns context and thus meaning by tracking relationships in sequential data. Transformers are essentially developed for tasks that transform an input sequence into an output sequence. They use a mathematical technique known as the ‘attention model’ to detect how distant data elements in a series are dependent on each other. Transformers are widely used in translation, with generative pre-trained transformer 3 (GPT-3) being the prominent example. 

For more insights into the popular techniques of Generative AI, download a free report sample

Generative AI - Key Use Cases

The key use cases of Generative AI are advanced search, contract management, dynamic interaction, product development, asset management, customer management, generative design, risk management, content generation, data augmentation, and process management.

Advanced Search: It uses AI models to analyze search results, generate custom content, and present them to the user via a browser

Dynamic Interaction: Leverages AI models for advanced interactive platforms and adds multimodal aspects to automated enterprise communications

For more insights into the use cases of Generative AI, download a free report sample

Generative AI - Key Ecosystem Players

The generative AI market is at a nascent stage in terms of commercial deployments. However, due to its disruptive potential, the market is a beehive of established tech players and startups. The key ecosystem players of Generative AI are Google, Microsoft, IBM, Nvidia, Salesforce, Baidu, Meta, JD.com, Open AI, Sportify, and CSM among others.

Absci
Ada
AI21 Labs
Akros Technologies
Alphabet
Amazon Web Services
Andi
Anthropic
Anyverse
anyword
Arena
Augmenta
Axion Ray
Baidu
Bain & Company
Bedrock
Blackbird
Buzzfeed
C3.ai
Character.ai
ClearCOGS
Cohere
Connectwise
Copy.ai
Copysmith
CSM
DeepMind
D-ID
Doximity
Duolingo
Elevance Health
Emplifi
Evisort
Fliki
Forethought
Fyrebox
Glowforge
Google
Gupshup
Harvey AI
Hazy
Huma.AI
IBM
Inworld AI
Jasper AI
JD.com
Kadmon
Khosla Ventures
Latent Technology
LeewayHertz
Legible
Lexica
LivePerson
Logz.io
Lunchbox
Matthew Brown Companies
Meta
Microsoft
Mirage
NASA
Navan
Notion Labs
Nvidia
OpenAI
Opera
Opoplan
Orca Security
Outreach
Paige.AI
Paladin Group
Photoroom
Provinzial
Rephrase.AI
RESAAS
Roblox
Route Mobile
Salesforce
Sequoia Capital
Shopify
Shutterstock
Simplified
SoundHound
Spotify
Stability AI
Swedbank
Synthesis AI
Tabnine
Tiger Global
Veritone
Vizcom
Vodafone
Wand AI
Yext
You.Com

Table of Contents

Table of Contents

1. AI roadmap

2. What is ChatGPT and generative AI

3. Evolution of generative AI models

4. Popular generative AI applications (text-to-x)

5. Key use cases of generative AI

6. Ecosystem players

7. Company overview – OpenAI

8. Major patent filers

9. Limitations & drawbacks

10. Real-world innovations by use case

11. Methodology

Frequently asked questions

  • What is ChatGPT?

    ChatGPT is a conversational assistant platform built on OpenAI’s generative pre-trained transformer 3 (GPT-3) family of large language models––more specifically, the GPT-3.5 model.

  • What are the three key techniques of Generative AI?

    Generative AI applications are based on three key deep learning techniques, which are Generative Adversarial Networks (GAN), Variational Auto-Encoder (VAE), and Transformers.

  • What are the key use cases of Generative AI?

    The key use cases of Generative AI are advanced search, contract management, dynamic interaction, product development, asset management, customer management, generative design, risk management, content generation, data augmentation, and process management.

  • Who are the leading ecosystem players of Generative AI?

    The leading ecosystem players of Generative AI are Google, Microsoft, IBM, Nvidia, Salesforce, Baidu, Meta, JD.com, Open AI, Sportify, and CSM among others.

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