Large Language Model (LLM)

What is Semantic Kernel, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is Semantic Kernel?

Semantic Kernel is a development framework that enables seamless integration of Large Language Models (LLMs) with traditional software applications through a unified programming interface. It provides orchestration capabilities, memory management, and AI function chaining while abstracting away the complexity of working directly with AI models. For organizations, it significantly reduces development time and maintenance costs when building AI-powered applications by providing standardized patterns and tools. A practical example is automating customer support ticket classification and routing - the framework can analyze incoming tickets, extract key information, categorize issues, and automatically direct them to appropriate departments while maintaining context throughout the resolution workflow.

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Use cases for Semantic Kernel

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Why is Semantic Kernel better on Shakudo?

Semantic Kernel's integration with Shakudo streamlines the deployment and management of AI applications by automatically handling dependencies, scaling, and infrastructure setup. The operating system approach means your SK plugins and functions are instantly deployable with proper resource allocation and monitoring, eliminating traditional DevOps complexity.

Teams can seamlessly connect Semantic Kernel with other AI tools and data sources in their stack through Shakudo's unified platform. This native interoperability means SK functions can directly interact with your existing data pipelines, authentication systems, and other AI services without additional configuration overhead.

Shakudo's expertise accelerates Semantic Kernel implementation from months to weeks, with built-in best practices for security, monitoring, and scalability. The platform's flexibility allows teams to evolve their SK applications as requirements change, while maintaining enterprise-grade reliability.

Why is Semantic Kernel better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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