Emergence of a New Architecture Classification: Knowledge
Jake Miller
CEO | AI-Powered Solutions for Regulated Industries | Driving Innovation with AI in Healthcare, Finance, and Beyond
Enterprise technology is evolving, and with it, the classification of system architectures. Traditionally, systems have been categorized into two main types: operational data and analytics. Now, a third classification is emerging—Knowledge Systems. This new category is driven by multi-agent architectures and offers unprecedented opportunities to unlock data and insights.
Understanding the Three System Classifications
Traditional enterprise architectures have focused on operational data and analytics. However, Knowledge Systems introduce a new layer that integrates with and enhances these traditional systems:
Operational Data: Manages day-to-day transactions and lists. Analytics: Encompasses data warehouses and big data for analysis and insights. Knowledge Systems: Focuses on advanced data utilization for query and retrieval, inference, content generation, and reasoning.
As the knowledge systems evolve, so do the concepts that substantially improve their robustness. Consider the concepts listed below. How does your team utilize these concepts to gain a competitive advantage? For example, boosting productivity, introducing new product capabilities, enhancing services, and creating multi-agent systems capable of advancing automation to hyper-automation.:
Before committing to LLM implementation, evaluate your team's proficiency in assessing the potential impact on your business. Many organizations lack the specialized skills required to create basic LLM applications, hindering the development of more advanced systems that leverage the full range of LLM capabilities.
Types of Memory in Cognitive Computing and Generative AI Architecture
Memory in knowledge systems encompasses various information storage and retrieval mechanisms that enable systems to perform complex tasks more efficiently. This increased focus on memory in cognitive computing is driving innovation and providing businesses with powerful tools to harness the full potential of their data. Part of an LLM data strategy must include an understanding of how these types of memory can be leveraged.
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By leveraging advanced knowledge systems, organizations can now harness structured information and create highly intelligent systems to augment their workforce. Although a degree in cognitive computing is not necessary, expertise in data design and implementation across various memory types remains a challenge for many teams.
The Role of Multi-Agent Architectures in Knowledge Systems
The fact is that multi-agent architectures consist of multiple agents, each specialized in different tasks. These systems offer a dynamic, flexible, and scalable approach to problem-solving, which is integral to Knowledge Systems. Here’s why they matter:
In retail, various AI agents may work together to manage inventory, anticipate customer behavior, optimize pricing strategies, and improve supply chain efficiency. These collaborations result in increased sales, reduced costs, and a substantial return on investment (ROI).
Additionally, extending the use of AI to aspects such as hyper-personalization of customer preferences and gaining a deeper understanding of individual wants and needs can assist marketing, sales, and other departments in enhancing their services and products, leading to a more satisfying customer experience.
Get Started
Knowledge Systems offer significant advantages for businesses that are ready to innovate. The potential for enhanced collaboration, scalability, resilience, and real-time decision-making makes this approach a valuable investment.
We offer a comprehensive workshop for IT leaders, innovation leaders, and executives. This workshop will equip you with the knowledge and tools to leverage multi-agent architectures and integrate them effectively with your data strategy. Contact us for more details and take the first step towards unlocking the full potential of AI in your organization.
Software engineer at Ford Motor Company
5 个月Good point!
Trailblazing Human and Entity Identity & Learning Visionary - Created a new legal identity architecture for humans/ AI systems/bots and leveraged this to create a new learning architecture
6 个月Hi Jake, You might be very interested in skimming these articles: * “Hives, AI, Agents/Bots & Humans - Another Whopper Sized Problem”- https://www.dhirubhai.net/pulse/hives-ai-bots-humans-another-whopper-sized-problem-guy-huntington * ?“AI Agent Authorization - Identity, Graphs & Architecture” - https://www.dhirubhai.net/pulse/ai-agent-authorization-identity-graphs-architecture-guy-huntington-gapkc/ I'll continue in the next message...