Implementing a multi-tenant blockchain platform

Implementing a multi-tenant blockchain platform

Multi-tenant blockchain platform:

Multi-tenant architecture: describes a multi-tenant blockchain platform that allows different tenants to operate on a shared blockchain, with each tenant accessing the blockchain as a participating node.

Blockchain interface: The system interacts with the blockchain on behalf of multiple tenants through the blockchain interface, configuring the blockchain to share training data sets between tenants.

AI model training and decision making:

Training data sharing: The blockchain is configured to share training data sets between tenants according to the consent agreement, and the AI ​​model uses this data for training.

AI model decision making: The trained AI model is used to make recommendations based on the training data set, which can be to accept or reject transactions on the blockchain.

Audit record keeping service:

AI model registration: The system receives a request to register an AI model to the audit record keeping service, which records the decisions of the AI ​​model and the training data set used.

Immutable audit records: The blockchain provides immutable audit records to ensure transparency and traceability of decisions and training data.

Blockchain transaction processing:

Transaction processing flow: The system receives transactions on the blockchain, the AI ​​model makes a decision (accept or reject) on the transaction, and then trades the new asset to the blockchain, recording the decision results and the training data set used.

Version control: record the version of the AI ​​model and the version of the training dataset to ensure traceability and consistency.

Data verification and serialization:

Data verification: Use smart contracts to verify the data of transactions on the blockchain to ensure that the data meets the defined metadata requirements.

Data serialization: Serialize the updated data records into byte streams to reduce storage size and improve processing efficiency.

Index and retrieval optimization:

Index construction: Build indexes to speed up the retrieval of data records on the blockchain. The index can be stored in the database of the blockchain or the host organization.

Partial address retrieval: Retrieve nodes or subtrees in the index by partial addresses to improve retrieval flexibility.

Dynamic metadata verification:

Dynamic verification: Before writing new data to the blockchain, perform dynamic metadata verification to ensure that the data format and type meet the requirements.

Protobuf generation: Generate serialized data using Protocol Buffers (protobuf), providing encryption and efficient data exchange.

Blockchain events and smart contracts:

Event listeners: Blockchain event listeners trigger smart contract execution and perform predefined actions based on events on the blockchain.

Custom Triggers: Allows you to define custom triggers to perform specific actions on the blockchain based on business rules.

User Interface & API:

GUI Tools: Provides graphical user interface (GUI) tools that allow non-programmers to declare applications, entities, and field definitions through point-and-click operations.

API Interface: Interacts with external systems through API interfaces and provides programmable access to blockchain services.

Einstein Platform Integration:

Einstein Cloud Platform: Integrates Salesforce's Einstein Cloud Platform to record AI model decisions through blockchain to improve decision transparency and auditability.

EinsChain Service: Implements EinsChain Service as a multi-tenant Einstein registration and decision tracking platform to record decisions and training data on the blockchain.

Based on the content of the provided document, here are some short answer questions and their answer summaries:

What is the subject of the document?

Answer: The subject of the document is about implementing a multi-tenant blockchain platform in a cloud computing environment to manage decisions of the Einstein Platform, using distributed ledger technology (DLT).

How does a multi-tenant blockchain platform work?

Answer: A multi-tenant blockchain platform allows different tenants to operate on a shared blockchain, and each tenant accesses the blockchain as a participating node. The system interacts with the blockchain on behalf of multiple tenants through the blockchain interface, configuring the blockchain to share training data sets between tenants.

What role does the AI ​​model play in the system?

Answer: The AI ​​model is trained using the training data set shared on the blockchain and makes decisions to accept or reject transactions on the blockchain based on the training results. These decisions are recorded on the blockchain to improve transparency and traceability.

What is the audit record keeping service and what role does it play in the system?

Answer: The audit record keeping service is used to record the decisions of the AI ​​model, the training data set used, and other related information. These records are immutable, ensuring transparency and traceability of decisions and complying with regulatory requirements.

How to optimize data retrieval on the blockchain?

Answer: The system speeds up the retrieval of data records on the blockchain by building indexes. The index can be stored in the blockchain or the database of the host organization and allows the retrieval of nodes or subtrees in the index by partial addresses, improving retrieval flexibility.

How is dynamic metadata verification achieved?

Answer: Before writing new data to the blockchain, the system performs dynamic metadata verification to ensure that the data format and type meet the requirements. Protocol Buffers (protobuf) is used to generate serialized data, further providing encryption and efficient data exchange.

What is the EinsChain service and what function does it have in the system?

Answer: The EinsChain service is a multi-tenant Einstein registration and decision tracking platform implemented by the host organization. It records AI model decisions, training data, and other related information on the blockchain, providing transparency and audit capabilities.

How does the system support non-programmer users?

Answer: The system provides a graphical user interface (GUI) tool that allows non-programmer users to declare applications, entities, and field definitions through point-and-click operations. This lowers the technical threshold for the use of blockchain and smart contracts, enabling more business users to participate.

What is the role of the blockchain event listener?

Answer: The blockchain event listener is responsible for listening to events occurring on the blockchain and triggering smart contract execution based on predefined business rules. This allows the system to respond to activities on the blockchain in real time.

What is the "Einstein Platform" mentioned in the document?

Answer: The Einstein Platform is an artificial intelligence platform provided by Salesforce to provide functions such as data analysis, prediction, and recommendation. The integration mentioned in the document refers to combining blockchain technology with the Einstein platform to record the decision-making process of the AI ​​model through blockchain to improve the transparency and credibility of decision-making.