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AI Processing Control: Global Market Shares, Market Opportunity, Market Forecasts, 2023-2029

  • Report

  • 166 Pages
  • September 2023
  • Region: Global
  • Wintergreen Research, Inc
  • ID: 5876303

IBM, Oracle, Accenture, and Other Major Tech Companies have Embraced ChatGPT and Generative AI

AI parallel processing platform controls support scalable machine learning and deep learning model design.

AI technology is revolutionizing the way we automate action. The combination of blockchain and AI creates digital systems that support action at the heart of all economic activity. APIs and AI iterative mechanisms depend on controls to keep the technology manageable. The control systems are more expensive than the generative AI.

AI, when used with proper controls, lets people embrace the globalization of the economy. People can get Generative AI into the blockchain and DL storage in the same manner they enter data into storage. The AI of the ChatGPT and Generative AI strings disparate operations together using strings of conditionals.

Servers have separate software running hundreds or thousands of programs simultaneously, sets of code, and instructions that tell a computer how to run and execute specific tasks. API controls are needed to manage data from the platform level. Inside the computer, software programs allow multiple functions to be implemented, depending on the installed software programs. Software, basically “if...then...else” statements support action by the computer-driven by separate programs.

Generative AI implements “if...then...else” within the blockchain, within the digital ledger, giving a level of function beyond traditional server software programs. By permitting direct action from the stored AI-driven ChatGPT and Generative AI, intelligence is distributed everywhere. ChatGPT and Generative AI can automatically submit payment for the goods without the use of more programs. ChatGPT and Generative AI operate - look like - data within the blockchain and function irrespective of any separate software programs.

Because the processing from the ChatGPT and Generative AI is automatic, not directly initiated by someone, it appears to the user to be more a part of the blockchain or distributed ledger than of the storage mechanism. Data on a server can be accessed using a link location. A ChatGPT and Generative AI simply run in the background. A ChatGPT and Generative AI on a blockchain is useful to automate workflows, moving in successive steps as needed. 

In the blockchain-based ChatGPT and Generative AI, an input triggers action. The ChatGPT and Generative AI connect the blockchain to real-world events. It allows inputs and outputs from the real world to execute decision-making and implement action. Because blockchain fails to scale in most cases, we use distributed ledgers that do scale to implement blockchain.

There are several types of ChatGPT and Generative AI. An RFID sensor on a food shipment sends data to a ChatGPT and Generative AI that then releases payment to the supplier. An IoT device can capture a wide range of useful data that an artificial intelligence system manages. The AI system then uses the data to activate ChatGPT and Generative AI processes automatically. 

Useful in government, farming, healthcare, banking, insurance, business, and for central bank digital currencies (CBDC), ChatGPT and Generative AI revolutionize transactions and processes. Processes implemented with AI through ChatGPT and Generative AI are more efficient. ChatGPT and Generative AI support faster and cheaper automated ordering, purchasing, shipments, and payments. With the government's use of ChatGPT and Generative AI for CBDC, the settlement process moves from two days to several seconds, creating less costly, more efficient settlement processes.

The AI Controls market is projected to grow at a CAGR of 88.8% in the forecast period, 2023-2029.

Diverse market drivers include the pace of global warming, agricultural automation, Chinese investment in the military, and big tech R&D spending. Digital contracting is driving the unprecedented adoption of AI contracting for the military, agriculture, electric vehicles, and digital currency, for everything. 

Digital contracts create the ability to automate and create efficient business practices. ChatGPT and Generative AI revolutionize law firms, making them more efficient. Controls make sure that legal citations are real, an important aspect of generative AI.

AI controls bring the same digital revolution that PCs, smartphones, and the Internet have already got, but quicker and with greater impact. ChatGPT and Generative AI make AI work. All these shifts to AI bring strong growth in the US and World GDP. They create an economic push for further automation. AI is already here; ChatGPT and Generative AI make adoption easier and make change immediate. 

Microsoft invested $20 billion in ChatGPT. By adding the AI functionality to Excel and Word with elaborate API controls, the systems have a tremendous competitive advantage. This type of AI functionality is expected to drive $100 trillion in the global economy because of the efficiencies achieved. Many manual process is replaced. 

Electric vehicle implementation is anticipated to add $114 trillion to the global economy by 2029 over and above AI economic return. Companies have embraced the profound promise and implications of ChatGPT, AI, and blockchain technology. AI promises to revolutionize business practices as we know them. Financial institutions can settle securities in minutes instead of days. Microsoft has positioned ChatGPT to fundamentally change the way organizations do business by providing more secure transactions that are immutable, if they are changed, the change is detectable. ChatGPT changes the way we buy and sell things and the way we interact with everything. Via ChatGPT and Generative AI, Blockchain is redefining the way transactions occur by enabling a series of interlinked, automated steps to be successively implemented. According to IBM, Hyperledger Fabric, an open-source project, is the modular blockchain framework and de facto standard for enterprise solutions. The open, modular architecture uses plug-and-play components. With more than 120,000 contributing organizations and more than 15,000 engineer contributors working together, IBM Hyperledger Fabric offers data privacy. 

ChatGPT and Generative AI implemented on blockchain and distributed ledgers leverage trust to develop a rapidly growing business. With the appropriate guards in place, digital assets and decentralized finance are transformed by ChatGPT and Generative AI. 

These features make the technology work for data validation, data access, and identity protection. A ChatGPT and Generative AI is the code, packaged as chain code. Applications interact with read and update data on the blockchain ledger. A ChatGPT and Generative AI turns business logic into an executable program that is agreed to and verified by all members of a blockchain network. 

Table of Contents

1. AI Platform Control Market Definition and Market Dynamics
1.1 AI Platforms
1.2 Data Powers Modern AI
1.3 AI Systems Data Management Set-Up Process
1.4 Definition of NLtokens, Natural Language Tokens
1.4.1 Encoder Use of NL Tokens
1.5 Generative AI Transformers
1.6 AI Machine Learning Frameworks:

2 AI Platform Market Shares, Market Forecasts
2.1 AI Platform Controls Market Driving Forces
2.2 Generative AI and ChatGPT Control Market Shares
2.2.1 Generative AI ChatGPT Market Shares
2.2.2 ChatGPT
2.2.3 Amazon Language Model
2.2.4 Google Bard (LaMDA)
2.2.5 DeepMind Sparrow
2.2.6 Microsoft Bing AI
2.2.7 Character AI
2.2.8 Amazon Codewhisperer
2.3 AI and ChatGPT Controls Market Forecasts
2.3.1 AI and ChatGPT Controls Market Forecasts
2.3.2 OpenAI Capped-Profit Structure
2.3.3 Generative AI and ChatGPT Solutions Forecasts
2.3.4 Improvements In Payment Systems
2.4 Generative AI Market Segments

3 AI Platform Systems Implementations
3.1 OpenAI Data Set Gap Services
3.2 Digital Transformation
3.2.1 Failure to Achieve Digital Transformation: Sears Bankruptcy Example
3.2.2 Rolling Out 60 Million Smart Meters: Siemens

4 AI Platform Product Technology
4.1 AI Platform Architecture
4.2 AI Technologies and Frameworks
4.3 TensorFlow I/O
4.4 Google AI Services
4.5 Anytree AI

5 Company Profiles
5.1 Google/APIGee
5.1.1 Alphabet/Google/DeepMind
5.1.2 Google AI Chatbot, Bard
5.1.3 Alphabet Google Consolidates Artificial Intelligence Research Groups
5.1.4 Deepmind
5.1.5 Deepmind Chinchilla
5.2 Amazon Web Services (AWS)
5.3 Apache MXNet
5.4 Axway
5.5 Brightdata
5.6 Broadcom CA Layer 7
5.7 ChatGPT - Microsoft AI
5.7.1 Microsoft/OpenAI/ChatGPT
5.7.2 Azure OpenAI Service
5.7.3 Azure Native Qumulo
5.7.4 Microsoft Invests Billions in ChatGPT
5.7.5 Microsoft Trained a Model Called ChatGPT
5.8 Chainlink Labs
5.8.1 Chainlink Industry Standard For Building, Accessing, And Selling Oracle Services Needed To Power Hybrid ChatGPT on any Blockchain
5.8.2 Chainlink Partner: FilSwan
5.9 DataRobot
5.9.1 Data Platforms
5.9.2 Data Robot Revenue
5.10 Docugami
5.11 Everscale Blockchain Consensus Mechanism
5.12 gosh.sh
5.13 Gravitee
5.13.1 Gravitee Commitment to Open Source
5.14 H2O
5.15 IBM
5.15.1 watsonx.governance
5.15.2 IBM Watson
5.15.3 IBM Hyperledger Blockchain Scalability
5.15.4 IBM ChatGPT Code on a Blockchain
5.15.5 IBM ChatGPT Safeguarding the Efficacy of Medications
5.15.6 IBM Supply Chain Transparency
5.15.7 Blockchain for Food Supply
5.15.8 Blockchain for Trade and Trade Finance
5.15.9 IBM Watson AI Healthcare Demise
5.15.10 Watson Failure Was Over Promise And Under-Delivery
5.16 IMG-10
5.17 IMG-11
5.18 Invicti
5.19 Intruder
5.20 Keras
5.21 KPMG Risk and Control Framework
5.22 Kong
5.23 L4S/TapestryX Distributed Ledger
5.23.1 L4S Tapestry Distributed Ledger
5.23.2 L4S/TapestryX
5.24 Meta/Facebook/AI Tools to Prevent False, Biased, or Misleading Information
5.25 Neural Designer
5.26 Polyaxon
5.26.1 Polyaxon Workflow Engine
5.27 Postman
5.27.1 Postman API-Tools
5.27.2 Postman API-Repository
5.27.3 Postman Workspaces
5.28 PyTorch
5.29 Salesforce/MuleSoft
5.30 Scikit-Learn
5.31 Semrush
5.32 Smartbear
5.33 TensorFlow
5.34 WS02
5.34.1 WS02 Event-Driven Systems and Architectures
5.34.2 Challenges of API Management for Event-Driven APIs
5.34.3 API Asynchronous Communications Modernization Initiatives
5.35 Selected API Control Market Participants

List of Figures
Figure 1. AI Platforms Functions
Figure 2. Generative AI and ChatGPT Controls Market Forecasts, Dollars, Worldwide, 2023-2028
Figure 3. AI Platforms Functions
Figure 4. AI Platforms Use Cases Categories
Figure 5. Machine Learning Frameworks
Figure 6. Generative AI Digital Set-Up Process Ecosystem Market Driving Forces
Figure 7. Generative AI Business API Market Driving Forces
Figure 8. Generative AI Customer Service Platform Set-Up Market Driving Forces
Figure 9. ChatGPT and Generative AI Control Market Shares, Dollars, 2022
Figure 10. ChatGPT and Generative AI Control Market Shares, Dollars, 2022
Figure 11. ChatGPT and Generative AI Control Market Company Descriptions, Dollars, Worldwide, 2022
Figure 12. ChatGPT and Generative AI Control Market Company Descriptions, Dollars, Worldwide, 2022
Figure 13. Full Life Cycle API Management Companies
Figure 14. ChatGPT and Generative AI Market Shares, Dollars, 2022
Figure 15. ChatGPT and Generative AI Market Shares, Dollars, 2022
Figure 16. ChatGPT and Generative AI Company Market Positioning, Worldwide, 2022
Figure 17. Key Features of Microsoft Bing AI
Figure 18. Generative AI and ChatGPT Controls Market Forecasts, Dollars, Worldwide, 2023-2028
Figure 19. Generative AI and ChatGPT Controls Market Forecasts, Dollars, Worldwide, 2023-2029
Figure 20. Generative AI and ChatGPT Market Forecasts, Dollars, Worldwide, 2023-2029
Figure 21. Generative AI and ChatGPT Market Forecasts, Dollars, Worldwide, 2023-2029
Figure 22. Blockchain to Boost Global GDP
Figure 23. Generative AI Market Segments
Figure 24. Generative AI and ChatGPT Market Segments, Percent, Worldwide, 2023-2029
Figure 25. Generative AI and ChatGPT Market Segments, Percent, Worldwide, 2023-2029
Figure 26. OpenAI Data Set Gap Services Functions
Figure 27. AI Digital Building Blocks Leverage APIs
Figure 28. AI Functions Used In Organizing Ecosystems That Involve Multiple Business Models
Figure 29. Categories of Layers in AI Platforms
Figure 30. AI Technologies and Frameworks Examples
Figure 31. Technology Stack Factors for AI Platform Development
Figure 32. Gravitee API Designer
Figure 33. AI Services Available on Google Cloud:
Figure 34. Any Tree Visualization
Figure 35. Any Tree Manipulation Visualization
Figure 36. AIPGee Management Plane on Google Cloud Platform
Figure 37. Google Cloud Platform AIPGee Management Plane API Monetization
Figure 38. AI Services Available on AWS:
Figure 39. Broadcom CA Layer 7 Functions
Figure 40. Layer7 API Gateway Install and Configure Functions
Figure 41. Layer7 API Gateway Reference Functions
Figure 42. Azure Native Qumulo
Figure 43. How Microsoft Trained an AI Model Called ChatGPT
Figure 44. DataRobot AI Platform Customers
Figure 45. DataRobot Connects to Best of Breed AI Tools
Figure 46. DataRobot Platform Support
Figure 47. DataRobot Data Platforms
Figure 48. Docugami Integrates With An Array Of Tools
Figure 49. Gravitee Profile
Figure 50. Gravitee Team
Figure 51. Gravitee API Access Management
Figure 52. H2O Functions
Figure 53. H2O Features
Figure 54. H20 AI Services Available on H2o.ai:
Figure 55. IBM AI Watsonx Platform Components:
Figure 56. IBM Watsonx Nonlinear AI Data Interconnections
Figure 57. IBM's Watsonx Functions
Figure 58. IBM AI Positioning
Figure 59. IBM Watsonx.ai Data, Governance
Figure 60. IBM ChatGPT
Figure 61. AI Products Available on IBM Watson:
Figure 62. IBM Provides Home Depo Increased Visibility into The Supply Chain,
Figure 63. IBM We Trade
Figure 64. IBM Benefits of ChatGPT
Figure 65. Sonoco + IBM: Safeguarding the Efficacy of Lifesaving Medications with Blockchain
Figure 66. AI-Communication-Coaches
Figure 67. KPMG Risk And Control Framework AI Categories of Risk Area
Figure 68. KPMG AI Risk and Control Framework
Figure 69. Kong API Application Building Block Functions
Figure 70. Selected Kong Customers
Figure 71. L4S DLT Supply Chain Benefits
Figure 72. L4S Tapestry Distributed Ledger
Figure 73. L4S DL/Blockchain Features
Figure 74. TapestryX Fundamental DTL Requirements vs Blockchain Capabilities
Figure 75. AI Control Services Available on Polyaxon:
Figure 76. MuleSoft Business And Technology Functions
Figure 77. MuleSoft AI Business And Technology Advantages
Figure 78. MuleSoft AI Business And Technology Steps to Customer Engagement
Figure 79. MuleSoft Business And Technology Building Blocks
Figure 80. MuleSoft AI Business And Technology Competitive Advantage Offered
Figure 81. MuleSoft Targeted Problem Areas
Figure 82. Generative Artificial Intelligence Risks
Figure 83. WS02 AI API Event-Characteristics.
Figure 84. WS02 Event-Native Solutions
Figure 85. Event-Driven and Asynchronous APIs
Figure 86. Event-Driven And Asynchronous Api Benefits
Figure 87. Asynchronous API Management for Event-Driven APIs
Figure 88. Organizational Solutions to Streaming API Events Asynchronously
Figure 89. Middleware Risks to Streaming API Events Asynchronously
Figure 90. Middleware Solutions for Events Streamed Asynchronously
Figure 91. Build API Gateway Solution From The Ground Up Advantages and Disadvantages
Figure 92. Build API Gateway solution on top of an open-source solution Advantages and Disadvantages
Figure 93. Invest in a Vendor Solution for API Gateway solution Advantages and Disadvantages

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Alphabet
  • Amazon Web Services (AWS)
  • Apache
  • Axway
  • Brightdata
  • Broadcom
  • Chainlink Labs
  • DataRobot
  • DeepMind
  • Docugami
  • Everscale
  • FilSwan
  • Google
  • gosh.sh
  • Gravitee
  • H2O
  • IBM
  • IMG-10
  • IMG-11
  • Intruder
  • Invicti
  • Keras
  • Kong
  • KPMG
  • L4S
  • Meta (formerly Facebook)
  • Microsoft
  • MuleSoft
  • Neural Designer
  • Polyaxon
  • Postman
  • PyTorch
  • Salesforce
  • Scikit-Learn
  • Semrush
  • Smartbear
  • TapestryX Distributed Ledger
  • TensorFlow
  • WS02

Table Information