Build your Private Knowverse to steer your Daily Operations

SBDH Knowverse Workflows enable the process of coordinating and managing the deployment, integration, and interaction of various artificial intelligence (AI) /software/infrastructure components, blockchain-based systems and data sources. This ensures seamless communication, efficient data exchange, and secure execution of Data & AI-driven applications and services.

Key Components:

1. $AXONE Orchestration layer : Tools and frameworks that enable the design, execution, and monitoring of Data & AI workflows

2. Blockchain Infrastructure: Cosmos

3. AI Models and Services: Various AI algorithms, models, and services, including machine learning, natural language processing, computer vision, and predictive analytics, integrated with blockchain-based data sources.

4. Data Integration and Preprocessing: Standardized data formats, data quality checks, and data integration platforms ensuring seamless data ingestion and preprocessing from diverse sources.

5. Resource Allocation and Management: Dynamic resource allocation strategies and auto-scaling mechanisms to adapt to changing demands and optimize resource utilization.

Benefits

1. Improved Efficiency: Automated workflows and streamlined data processing reduce manual intervention and accelerate Data & AI application development and deployment.

2. Enhanced Security: Blockchain-based data storage and transaction processing ensure secure and transparent data exchange, reducing the risk of data breaches and tampering.

3. Increased Scalability: Dynamic resource allocation and auto-scaling enable Data & AI applications to adapt to changing demands and scale efficiently, ensuring high availability and performance.

4. Better Governance: Centralized control over AI workflows and data management enable organizations to adhere to regulatory requirements and governance standards, promoting transparency and accountability.

5. Faster Time-to-Market: Orchestration of digital Data & AI solutions powered by blockchains accelerates the development and deployment of Data & AI-powered applications and services, enabling organizations to respond quickly to changing market demands.

Key features

Anything-as-a-Service (XaaS) as a decentralized “Zapier” for Data & AI

• Ontology : models every resource, their properties and relations with each otherHandle technical complexity of collaboration with heterogeneous systems, on & off-chain environments

• Orchestration : enforces policies governing each resource and coordinates off-chain and on-chain resources to produce knowledge

• Governance : establishes and validates resource permissions and rules

• Create TRUST, especially with shared private data

• The decentralized nature of the protocol ensures transparency and impartiality

• Align incentives for fair value sharing

Upgrade your enterprise technology architecture to integrate and manage generative AI models and orchestrate how they operate with each other and existing AI and machine learning (ML) models, applications, algorithms and data sources.

• Connect any dataset and digital services to any infrastructure (Akash, AWS etc.) via any API, authorizing access via any identity (Lens, Google authentication)

• Ensuring compliance via trustless execution of rules for each zone and resource

• Innovation has occurred at the hardware level finding solutions to connect and share GPU, CPU and RAM resources. AXONE enables connections and sharing of any software resources complementing existing solutions

• Data, the most valuable input for AI remains siloed limiting the accuracy of models. Axone unlocks public and private data for usage, in a decentralized, compliant manner (removing limit)

Some classic business cases

1. Fraud Detection: A blockchain-based platform integrates AI-powered fraud detection models with various data sources, such as transaction records and customer profiles, to identify and prevent fraudulent activities.

2. Supply Chain Management: An AI-powered supply chain management system, built on a blockchain infrastructure, orchestrates data exchange and processing between various stakeholders, ensuring transparency and efficiency throughout the supply chain.

3. Predictive Maintenance: A predictive maintenance application integrates AI models with blockchain-based data storage and transaction processing to optimize maintenance schedules and reduce downtime for industrial equipment.

SBDH has developed experience & expertise in retail, healthcare & manufacturing processes and related data transformation workflows.

SBDH selects dedicated Apps from our partner iiwari to optimize your Daily Operations

With Iiwari, we offer the best in-building UWB localization technology (RTLS) from Finnish research laboratories already tried and tested in Northern Europe, the UK and the USA.

Retail / Store Manager

RTLS is just the starting point for improving and optimizing the day-to-day running of your store, thanks to real-time knowledge of the position of products on shelves, staff and trolleys/customer carts in the store.

The intelligent processing of this real-time location data enables you to achieve the following objectives:

• Reduce the overall time required to carry out daily activities

• Replenish shelves in the most efficient way

• Reduce food waste

• Quickly identify the position of products to be processed because they are approaching or have passed their expiry date.

• Maintain productivity regardless of staff changes

• Simply guide staff around the store to carry out their daily tasks.

• Identify the real impact of promotions

• Simply combine the foot path of shoppers with the power stoppage of promotions

Link to the Store Manager App video