eis

Efficient data preparation and structuring, is crucial for AI model performance

Generating knowledge and actionable insights from raw data, is very difficult and costly without an automated AI strategy.  At Equitus we simplify the complex process of integrating multiple computer systems, programs and data seamlessly and effectively to generate Unified Intelligence.   

At Equitus our goal is to improve the process of systems integration by automating ETL and Reducing FTE. There are many bottlenecks that system integrators face and Equitus brings the benefits of AI to solve those problems. By interconnecting multiple machine learning pipelines automatically with Equitus Knowledge Graph Neural Network , integration can accelerate the generation of knowledge from previously unconnected sources . Interconnecting the multiple sources of data can generate knowledge and value for the Enterprise Users.

eq ibm watson

Equitus.ai's Knowledge Graph Neural Network (KGNN) could potentially enhance the integration of Watson X and Granite LLM models on IBM Power10 systems in several ways:

1. Data Integration: Equitus.ai's Auto-ETL and autonomous data mapping capabilities could streamline the process of integrating diverse data sources for Watson X and Granite LLM models[1]. This would allow for more efficient data preparation and structuring, which is crucial for AI model performance.

2. Contextual Enrichment: The KGNN could provide additional context and relationships between data points, enhancing the knowledge base available to Watson X and Granite models[1]. This could lead to more accurate and contextually relevant outputs from the LLMs.

3. Multi-modal AI Integration: Equitus Video Sentinel (EVS) could be used to convert visual data into structured, actionable intelligence[1]. This capability could be particularly useful for integrating video analytics with text-based LLM outputs, creating a more comprehensive AI solution on Power10 systems.

4. Scalability and Performance: By leveraging the schema-less knowledge graph architecture of Equitus.ai, users could potentially handle larger volumes of data more efficiently on Power10 hardware[1]. This aligns well with IBM's focus on performance and scalability for enterprise AI applications[2].

5. Enhanced RAG Capabilities: The structured, semantically rich data produced by Equitus.ai's systems could significantly improve retrieval augmented generation (RAG) tasks when used in conjunction with Watson X and Granite models[1][2].

6. Governance and Transparency: Equitus.ai's approach to data transformation and structuring could complement Watson X's governance toolkit, potentially enhancing transparency and explainability of AI workflows[1][3].

7. Cross-platform Integration: As Watson X is designed to work across various cloud platforms and on-premises setups[3], Equitus.ai's KGNN could serve as a bridge for data integration and knowledge representation across different environments where Watson X and Granite models are deployed on Power10 systems.

By combining Equitus.ai's KGNN capabilities with Watson X and Granite LLM models on Power10 hardware, users could potentially create more robust, efficient, and context-aware AI solutions for enterprise applications.

Citations:

[1] https://equitus.ai

[2] https://www.ibm.com/products/watsonx-ai/foundation-models

[3] https://www.youtube.com/watch?v=FOlzrUPzqx0

[4] https://python.langchain.com/docs/integrations/llms/ibm_watsonx/

[5] https://www.linkedin.com/posts/equitus_videosurveillance-aimonitoring-realtimemonitoring-activity-7262532217526972416-_m7Z

[6] https://www.constellationr.com/blog-news/insights/ibm-open-sources-granite-models-integrates-watsonxgovernance-aws-sagemaker

[7] https://www.linkedin.com/posts/thomas-richardson-64b17573_unlocking-the-power-of-ibm-watson-x-assistant-activity-7220475616532340736-A7__

[8] https://news.sap.com/uk/2024/10/ibm-granite-llm-now-available-through-the-generative-ai-hub-in-sap-ai-core/

[9] https://www.youtube.com/watch?v=a9hIP1oZf7k

ibm ai

 Based on the technologies mentioned, here are some correlative technologies from IBM and Equitus AI on Power 10:

IBM Technologies

1. IBM Watson Assistant: A cloud-based AI platform that enables businesses to build conversational interfaces.

2. IBM Watson Discovery: A cloud-based AI platform that enables businesses to analyze and extract insights from large datasets.

3. IBM PowerAI: A suite of AI tools and frameworks optimized for Power 10 architecture.

Equitus AI Technologies

1. Equitus AI KGNN (Knowledge Graph Neural Network): A patented AI technology that enables knowledge graph-based reasoning and decision-making.

2. Equitus AI CAG (Context Augmented Generation): A technology that generates contextualized text based on input prompts.

3. Equitus AI Autonomous Knowledge Engines: A suite of AI-powered knowledge engines that enable autonomous decision-making.

Correlative Technologies

1. IBM Watson Studio: A cloud-based platform for building, deploying, and managing AI models, similar to Custom GPTs by OpenAI.

2. IBM Cloud Pak for AI: A suite of AI tools and frameworks that enable businesses to build, deploy, and manage AI models, similar to Copilot Actions by Microsoft.

3. Equitus AI's KGNN-powered chatbots: Similar to Google's Gems in the Google lexicon, Equitus AI's KGNN-powered chatbots enable conversational interfaces with contextual understanding.

These technologies from IBM and Equitus AI on Power 10 provide similar functionalities to the mentioned technologies from Google, OpenAI, and Microsoft.

connecting oracle on ibm

Valid/ Unvalid/ Other -Notes

IBM, Oracle, and Equitus using the 7-layer OSI model as a guide:

Physical Layer (Layer 1)

- IBM: Provides hardware infrastructure (e.g., servers, storage) for Oracle and Equitus solutions.

- Oracle: Utilizes IBM hardware for its cloud infrastructure and on-premises deployments.

- Equitus: Deploys its AI-powered solutions on IBM hardware, leveraging Oracle's database and cloud infrastructure.

Data Link Layer (Layer 2)

- IBM: Offers networking solutions (e.g., Ethernet, Wi-Fi) for connecting Oracle and Equitus systems.

- Oracle: Utilizes IBM networking solutions for its cloud and on-premises deployments.

- Equitus: Leverages IBM networking solutions for secure and reliable data transfer between its AI-powered systems and Oracle's database and cloud infrastructure.

Network Layer (Layer 3)

- IBM: Provides network management and routing solutions (e.g., IBM Cloud Networking) for Oracle and Equitus.

- Oracle: Utilizes IBM network management and routing solutions for its cloud infrastructure.

- Equitus: Leverages IBM network management and routing solutions for secure and efficient data transfer between its AI-powered systems and Oracle's database and cloud infrastructure.

Transport Layer (Layer 4)

- IBM: Offers transport layer solutions (e.g., IBM Cloud Connectivity) for secure and reliable data transfer between Oracle and Equitus systems.

- Oracle: Utilizes IBM transport layer solutions for its cloud infrastructure.

- Equitus: Leverages IBM transport layer solutions for secure and efficient data transfer between its AI-powered systems and Oracle's database and cloud infrastructure.

Session Layer (Layer 5)

- IBM: Provides session management solutions (e.g., IBM Cloud Session Manager) for Oracle and Equitus.

- Oracle: Utilizes IBM session management solutions for its cloud infrastructure.

- Equitus: Leverages IBM session management solutions for secure and efficient session management between its AI-powered systems and Oracle's database and cloud infrastructure.

Presentation Layer (Layer 6)

- IBM: Offers data transformation and formatting solutions (e.g., IBM Cloud Data Transformation) for Oracle and Equitus.

- Oracle: Utilizes IBM data transformation and formatting solutions for its cloud infrastructure.

- Equitus: Leverages IBM data transformation and formatting solutions for secure and efficient data transformation and formatting between its AI-powered systems and Oracle's database and cloud infrastructure.

Application Layer (Layer 7)

- IBM: Provides application layer solutions (e.g., IBM Cloud Application Gateway) for Oracle and Equitus.

- Oracle: Utilizes IBM application layer solutions for its cloud infrastructure.

- Equitus: Leverages IBM application layer solutions for secure and efficient application layer services between its AI-powered systems and Oracle's database and cloud infrastructure.

In summary, IBM provides the underlying infrastructure, networking, and security solutions for Oracle's cloud infrastructure and Equitus' AI-powered systems. Oracle utilizes IBM's solutions for its cloud infrastructure, while Equitus leverages IBM's solutions for secure and efficient data transfer, session management, data transformation, and application layer services between its AI-powered systems and Oracle's database and cloud infrastructure.

ibm

 IBM's Integrated Systems and Data Unification Solution

IBM can leverage its recent acquisitions, Accelalpha and Applied Software Technologies, in combination with Granite 3 and Equitus AI to provide a comprehensive systems integration and data unification solution.

Key Components:

1. Accelalpha: Provides expertise in SAP and Oracle ERP systems, enabling IBM to offer integrated solutions for enterprise resource planning.

2. Applied Software Technologies: Brings expertise in Salesforce, MuleSoft, and other cloud-based technologies, enabling IBM to offer integrated solutions for customer relationship management and API-led connectivity.

3. Granite 3: Offers a robust data management and analytics platform, enabling IBM to provide a unified view of enterprise data.

4. Equitus AI: Provides AI-powered data integration and analytics capabilities, enabling IBM to offer real-time insights and decision-making support.

Integrated Solution:

1. Systems Integration: Accelalpha and Applied Software Technologies' expertise enables IBM to integrate disparate systems, including SAP, Oracle, Salesforce, and MuleSoft.

2. Data Unification: Granite 3 and Equitus AI provide a unified view of enterprise data, enabling real-time insights and decision-making support.

3. API-Led Connectivity: Applied Software Technologies' expertise in MuleSoft enables IBM to provide API-led connectivity, facilitating seamless data exchange between systems.

4. AI-Powered Analytics: Equitus AI's AI-powered analytics capabilities enable IBM to offer predictive insights, enabling enterprise clients to make data-driven decisions.

Benefits:

1. Improved Systems Integration: Enables seamless data exchange between disparate systems.

2. Unified View of Enterprise Data: Provides real-time insights and decision-making support.

3. Increased Efficiency: Automates data integration and analytics processes.

4. Enhanced Decision-Making: Offers predictive insights, enabling enterprise clients to make data-driven decisions.

Implementation Roadmap:

1. Discovery and Planning: Identify integration requirements, define scope, and create a project plan.

2. Design and Development: Design and develop integrated solutions using Accelalpha, Applied Software Technologies, Granite 3, and Equitus AI.

3. Testing and Quality Assurance: Conduct thorough testing and quality assurance to ensure seamless integration.

4. Deployment and Training: Deploy integrated solutions and provide training to enterprise clients.

5. Ongoing Support and Maintenance: Provide ongoing support and maintenance to ensure continued success.

integrate with oracle

Equitus KGNN can help IBM integrate systems and connect to Granite, enhancing enterprise client efficiencies by automating ETL, reducing FTE, and integrating with Oracle Cloud Applications Suite.

Benefits

1. Improved Data Integration: Equitus KGNN enables seamless data integration across various systems, including Oracle Cloud Applications Suite.

2. Automated ETL: KGNN automates ETL processes, reducing manual effort and increasing efficiency.

3. Reduced FTE: By automating ETL and integrating systems, KGNN helps reduce the need for full-time employees (FTE) dedicated to data integration and management.

4. Enhanced Decision-Making: With KGNN, enterprise clients can access unified, real-time data, enabling better decision-making.

Integration Scenarios

1. Oracle Fusion Cloud ERP: Equitus KGNN integrates with Oracle Fusion Cloud ERP, enabling automated data integration and synchronization.

2. Oracle Cloud HCM: KGNN integrates with Oracle Cloud HCM, streamlining HR data management and analytics.

3. Oracle Fusion Configure, Price, Quote (CPQ): Equitus KGNN integrates with Oracle Fusion CPQ, automating quote-to-cash processes.

4. Oracle Cloud Infrastructure (OCI): KGNN integrates with OCI, enabling secure, scalable, and on-demand infrastructure services.

5. JD Edwards and NetSuite: Equitus KGNN integrates with JD Edwards and NetSuite, providing a unified view of enterprise data.

6. Salesforce and MuleSoft: Through Applications Software Technology's partnerships, KGNN can integrate with Salesforce and MuleSoft, enabling seamless customer relationship management and API-led connectivity.

Technical Architecture

1. Equitus KGNN: Provides AI-powered data integration and analytics capabilities.

2. IBM Granite: Enables secure, scalable, and on-demand data management and analytics services.

3. Oracle Cloud Applications Suite: Provides a comprehensive set of enterprise applications, including ERP, HCM, and CPQ.

4. APIs and Connectors: Equitus KGNN uses APIs and connectors to integrate with Oracle Cloud Applications Suite, Salesforce, and MuleSoft.

Implementation Roadmap

1. Discovery and Planning: Identify integration requirements, define scope, and create a project plan.

2. Design and Development: Design and develop KGNN integrations with Oracle Cloud Applications Suite, Salesforce, and MuleSoft.

3. Testing and Quality Assurance: Conduct thorough testing and quality assurance to ensure seamless integration.

4. Deployment and Training: Deploy KGNN integrations and provide training to enterprise clients.

5. Ongoing Support and Maintenance: Provide ongoing support and maintenance to ensure continued success.

Equitus --- >>> Making the best real-time systems intelligence software in the world.

 

Equitus --- >>> Making the best real-time systems intelligence software in the world.

Knowledge Generation (KoGeN) Enhancement

KGNN's Role

1. Knowledge Graph Neural Network (KGNN): Enhances Knowledge Generation (KoGeN) by providing a more comprehensive understanding of complex systems.

2. Entity Recognition: KGNN's entity recognition capabilities enable accurate identification of entities, relationships, and concepts.

3. Relationship Extraction: KGNN extracts relationships between entities, providing a deeper understanding of complex systems.

Context Augmented Generation (CAG)

1. Cutting-Edge Technology: CAG enhances the understanding of AI systems by providing more focused semantic outputs.

2. Improved Accuracy: CAG's focused semantic outputs enable more accurate entity recognition, relationship extraction, and sentiment analysis.

3. Enhanced Contextual Understanding: CAG provides a deeper understanding of complex systems by incorporating contextual information.

Benefits for IBM Granite Users

1. Superior Results: CAG produces superior results, including improved accuracy, enhanced contextual understanding, and increased efficiency.

2. Better Decision Support: CAG enables IBM Granite users to make more informed decisions, driving business value and competitiveness.

3. Increased Productivity: CAG reduces the need for manual data processing and analysis, freeing up resources for more strategic tasks.

Technical Advantages

1. Advanced NLP: CAG leverages state-of-the-art NLP techniques to analyze and understand complex systems.

2. Knowledge Graph Integration: CAG integrates with knowledge graphs to provide a more comprehensive understanding of entities, relationships, and concepts.

3. Contextual Reasoning: CAG's contextual reasoning capabilities enable it to understand the nuances of complex systems.

kogen

 

To explain Equitus KoGen (Knowledge Generation) and its benefits to IBM's Sales Marketing Group, customers, and venture capitalists, you can highlight the following key points:

1. Unified AI System

Equitus KoGen integrates multiple products into a single AI system, leveraging IBM Power10, Equitus KGNN, IBM Granite, and legacy corporate infrastructure systems. This unified approach simplifies data management and enhances AI capabilities.

2. Enhanced Data Processing

Equitus KGNN (Knowledge Graph Neural Network) automatically ingests, structures, and augments raw data, transforming it into a semantically rich, machine-readable format. This process optimizes data for AI processing and retrieval-augmented generation (RAG) pipelines[1].

3. Cost Control and Efficiency

By utilizing IBM's on-premises solutions, organizations can achieve significant cost savings. The integration of IBM Power10 servers with Equitus KGNN allows for efficient data processing without relying on costly GPUs, reducing energy consumption and operational costs[1].

4. Improved Security and Data Sovereignty

Processing data locally on IBM Power10 servers ensures compliance with data privacy regulations and reduces security risks. This approach eliminates the need for constant cloud communication, resulting in faster data processing and real-time analytics[1].

5. Increased Information Confidence

The combination of IBM Granite and Equitus KGNN enhances data consistency and quality across the enterprise. Knowledge graphs map relationships within the data, providing a single source of truth that improves decision-making and reduces errors[2].

6. Scalability and Flexibility

Equitus KoGen's AI-ready, structured graph data can be readily used by edge AI applications, enabling organizations to scale their AI initiatives more efficiently. The system's middleware technology ensures seamless integration with existing data sets without causing disruption[2].

7. Actionable Insights

Equitus AI reveals non-obvious connections and patterns in datasets, offering visual, contextual insights that streamline and improve decision-making. This capability transforms isolated datasets into contextual knowledge, providing actionable insights that drive business value[2].

By emphasizing these benefits, you can effectively communicate the value of Equitus KoGen and IBM's Enterprise AI approach to various stakeholders. Would you like more detailed information on any specific aspect?

References

[1] KGNN Knowledge Graph Neural Network | Equitus AI

[2] Equitus AI Autonomous Knowledge Unification