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
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
- 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
Report Attribute | Details |
---|---|
No. of Pages | 166 |
Published | September 2023 |
Forecast Period | 2023 - 2029 |
Estimated Market Value ( USD | $ 1.8 Billion |
Forecasted Market Value ( USD | $ 154 Billion |
Compound Annual Growth Rate | 88.8% |
Regions Covered | Global |