Current topics, practical solutions, and fresh ideas: On the HMS blog, you'll learn how companies successfully use data and analytics.
Processing Large Volumes of Documents with LLMs
How can large language models effectively process large volumes of documents? In our new blog post, we highlight the key challenges—limited context windows, throughput issues, and the balance between speed and completeness—and present proven strategies from real-world projects.
Global companies manage vast amounts of complex knowledge—from regulatory filings to sales documents. Traditional search quickly reaches its limits in this context. Retrieval-Augmented Generation (RAG) chatbots promise a solution, but scaling them requires careful planning. In this article, we highlight the five biggest challenges and the proven best practices that companies can use to implement sustainable, compliant deployments worldwide.
Optimizing Infrastructure for Large Language Models
LLMs offer enormous potential, but hardware often becomes the real bottleneck. Learn what really matters when it comes to balancing performance, stability, and costs as you scale your AI infrastructure.
How much technological dependence is still acceptable? This article provides guidance—with practical insights, areas of action, and key questions for greater digital sovereignty.
Model Context Protocol (MCP): Integrating LLMs into Enterprises Efficiently, Scalably, and in a Standardized Way
Autonomous agents are becoming increasingly important—and the Model Context Protocol (MCP) plays a central role in this development. In this article, we introduce MCP, explain why context processing needs a standard, and show how MCP simplifies integration and enables new use cases.
Agentic AI is one of the most exciting concepts in the field of artificial intelligence. It enables AI agents to independently take on tasks, make decisions, and interact with systems—always with the goal of making complex processes more flexible and efficient. Learn how Agentic AI differs from traditional workflows, what benefits it offers businesses, and see real-world examples of how it can be used.
