kgnn and enterprise performance management

 

modernize legacy IT systems--notably with low-code /no-code software

Cloud native embraces a container model where a single kernel becomes the common denominator for managing many networking objects

Equitus Advanced Intelligence Platform's KGNN (Knowledge Graph Neural Network) can significantly assist Synovus Bank in ensuring Data Integrity, Streamlined Access, and Timely Delivery of insights:

1. Data Integrity Assurance:

   • Data Validation: KGNN can validate and verify data integrity across multiple sources. It checks for inconsistencies or errors in the data to ensure accuracy and reliability.
   • Anomaly Detection: It employs machine learning algorithms to detect anomalies or irregularities in data, flagging potential integrity issues before they become problematic.

2. Streamlined Access to Information:

   • Unified Data Access: KGNN organizes information from various sources into a unified structure within the knowledge graph. This provides a seamless and consolidated view of data, making it easily accessible.
   • Contextual Retrieval: Users can retrieve information contextually, making it easier to find relevant data without going through multiple systems or databases.

3. Timely Delivery of Insights:

   • Real-time Analysis: KGNN can process data in real-time, enabling quick analysis and generation of insights.
   • Predictive Capabilities: Utilizing the neural network's predictive abilities, Synovus Bank can forecast trends, potential risks, or customer behaviors, aiding in timely decision-making.

4. Security and Compliance:

   • Data Security Measures: The platform likely includes robust security protocols to ensure data confidentiality and compliance with regulations like GDPR or financial data security standards.
   • Audit Trails: KGNN may maintain comprehensive audit trails, allowing the bank to track data usage and changes, ensuring accountability and compliance.

5. Customizable Insights and Reporting:

   • Tailored Reporting: KGNN can generate customized reports and insights based on specific requirements, enabling Synovus Bank to obtain insights that directly address their needs.
   • Visualizations: It might offer visualization tools to present complex data in an easy-to-understand format, aiding in decision-making processes.

6. Continuous Improvement:

   • Feedback Loop: The platform likely includes mechanisms to gather user feedback and adapt to evolving needs, continuously improving its performance and the relevance of insights provided.

Implementing Equitus Advanced Intelligence Platform's KGNN can greatly enhance Synovus Bank's data management, ensuring data integrity, accessibility, and timely delivery of actionable insights, thereby aiding in more informed decision-making processes.

Logistus, Hunstman Chemical

 

Performance Materials for Enterprise and Federal:

Knowledge Graph Neural Network - Providing a platform to improve Enterprise Performance stretching from Science to Marketing. 

The core of Huntsman Chemical is add value to advanced vehicles and weapon systems ranging from rockets to Aradur to Arathane

Huntsman’s Business:

 

• Manufacturer providing materials for Aerospace & Defense, Transportation, Construction, Energy, Electronics, and other market sectors
• Key Customer Types – manufacturers of aircraft, rockets, and ground transportation platforms (including tactical vehicles)
• Core Product Classes – thermoset resins, adhesives, nanomaterials (Huntsman manufactures roughly 3,500 unique products)
• Extensive R&D capability – performing internal product development and funded development, including Federally funded development (past or ongoing projects for all US military departments, and multiple additional Federal agencies)
• Emerging Federal contractor – currently about 90% of revenue is generated commercially

 

The Federal Problem Set

 

The US National Defense Strategy emphasizes an urgent need for the DoD to “make the right technology investments” (pg. 19) and to “adapt and fortify our defense ecosystem.” (pg. 20) Regardless, numerous Federal and private sector studies continue to report extensive security risks due to a vulnerable and insufficient Defense Industrial Base.  (DIB)  It is therefore imperative that we implement appropriate measures to maximize the effectiveness of the DIB while facilitating its development.

 

• Key DoD Entity – DoD Office of Industrial Base Policy
• Key Documents:  Industrial Capabilities Report to Congress, The U.S. Defense Industrial Base: Background and Issues for Congress, NDIA Vital Signs 2023, GAO Defense Industrial Base Report GAO-22-104154

 

Solution

 

Develop and demonstrate an AI enabled cyber-compliant toolset that helps DIB manufacturers to

 

1. Match Defense needs to their capabilities
2. Leverage information and assets to accelerate technological innovation
3. Facilitate RDT&E teaming (Government, Industry, Academia)
4. Optimize and scale production operations

 

There are likely multiple agencies and offices that would be open to funding such an effort, and there is good potential for our companies to collaborate.

 

NOTE:  As is the case for most large manufacturers who distribute globally, Huntsman is currently using a wide range of software tools to assist with most aspects of our business.  Having a scientist use a modeling and simulation program to investigate thermomechanical properties of a test structure, for example, would not address whether the R&D effort was connected to bona fide DoD nor business needs.

 

Thanks for the questions you listed.  After we have an NDA, we can identify specific applicable Federal opportunities and contact the appropriate agency personnel.  With that information, we should be able to craft a submission white paper that will outline the project.

 

Typically, my organization is focused on developing and manufacturing physical goods.  Collaborating with a software company will require additional socialization on my part.  Nevertheless, I see plenty of upside potential for the DoD, Equitus/Novus Point, Huntsman, and ultimately the DIB community.

 

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