Enterprise technology is trend driven. If you went to an IT industry conference five years ago, there was no vendor worthy of offering platform upgrades and updates without mentioning robotic process automation (RPA), bots of all kinds, and autonomous automation. did not.
Whether it’s good news or not, the trend is pervasive.
A year ago, the major themes might have been process automation, kernel-level development, infrastructure as code (IaC), and platform engineering. In fact, come to think of it, all these trends are still at the forefront. So it’s probably good news as well.
If there are any significant trends currently on the rise, they should include (of course) Generative Artificial Intelligence (AI), the use of Large Language Models (LLM), the rise of vector-based data classification and data analytics, etc. .
So what happens when these two things happen together? A no-code application platform provider working with a vector-based database provider clearly demonstrates a state-of-the-art generative AI automation stack.
Hi, are you telco grade?
EnterpriseWeb, a New York-based software company that provides application platforms for digital business transformation, has unveiled its first communications-grade demonstration of generative AI for network service orchestration. The company is highly regarded as a pioneer in communication virtualization/automation. partnered with KX Adopts High Performance Time Series Database and real-time analytics for that Generative AI automation stack.
“Generative AI has captivated the public imagination with human-centric interfaces (text and voice) and advanced conversational features that bring the power of AI to the public. A race is already underway to extend the use cases and capabilities of generative AI to nearly every aspect of human activity, including business productivity and the mass market for automation solutions,” he said. stated in the documentation.
Generative AI has already spawned many experiments, but most demonstrations focus on the technology’s ability to follow human prompts and generate output such as text, music, art, or even software code templates. While these outputs are impressive enough, they are commonly understood to be “first drafts” and often contain varying degrees of errors and omissions, such as those offered by entry-level assistants.
Basic if-this-then-that (IFTTT)
Early automation demonstrations tend to demonstrate naive if-this-then-that (IFTTT) style functionality, lacking any mention of security, governance, and compliance concerns. Complex enterprise and industrial systems have much higher standards for securely automating processes with complex use case requirements, organizational policies and industry regulations, requiring deep domain-specific knowledge and rules.
EnterpriseWeb’s no-code platform was specifically designed to enable software engineers to design, deploy and manage dynamic, data-driven applications. It features a graph knowledge base that provides domain context, configuration, and control for stateless middleware functions that provide intelligent backend services to developers.
Now, with the advent of generative AI, the company is exposing declarative interfaces to developers and AI to co-design, deploy, and manage next-generation business and infrastructure applications. The integration of EnterpriseWeb with partners Microsoft and KX is said to advance the state of the art we have reached with these technologies. This is achieved by providing the domain-specific context and constraints necessary to enable telco-grade service orchestration.
According to KX, “This demo, now available on YouTube, uses publicly available generative AI tools and services, particularly those from Microsoft Corporation, to allow customers to interact with network services in natural language conversations.” It shows how to build. jarvis project of natural language programming interfaces (NLP) and basic models Open AI, is an AI research and implementation company. ”
kdb+ vector-based time series database
KX’s vector-based time-series database, kdb+, acts as a middleman between Microsoft’s generative AI and EnterpriseWeb’s automation capabilities.
This design provides an architectural separation of concerns between the two technologies and acts as an important security and IP boundary. As an intermediary, KX also translates between the developer’s unstructured natural language requests and the structured, rule-based logic of EnterpriseWeb’s graph domain model.
EnterpriseWeb uses graphs to interpret queries and commands and identify relationships with known business concepts, types, and policies. This allows developers to speak in informal abbreviations while the platform runtime handles implementation complexity.
Developers can configure network services to order directly through EnterpriseWeb or a front end such as Microsoft’s PowerApps. In either case, EnterpriseWeb provides a backend that automates service deployment and configuration. The platform runtime is responsible for enforcing system controls, IT governance, business compliance, and acts as a guardrail for secure system operation. After instantiation, KX monitors network services and reports events to his EnterpriseWeb for closed-loop autonomous management (i.e. self-scaling, self-healing, self-optimizing).
Microsoft, KX, and EnterpriseWeb say they offer a best-of-breed, integrated generative AI stack for transformative telco-grade automation solutions.
