LLMs in Business: Agentic AI, Multimodal Models & Conference Details

Large language models (LLMs) are increasingly finding their place in enterprise workflows. A growing trend, known as Agentic AI, leverages LLMs to tackle complex tasks by integrating them with other tools, and systems. This approach moves beyond simple text generation, enabling AI to autonomously execute processes and make decisions.

Recent advancements have also focused on multimodal models, capable of processing not just text but also images, tables, and other data formats. This expanded capability allows for more comprehensive data extraction than text-based approaches alone. The ability to understand and interpret diverse data types is crucial for unlocking deeper insights and automating more sophisticated tasks.

The LLMs im Unternehmen online conference, scheduled for March 19th, will explore how AI agents can take over work processes, how LLMs aid in data extraction, and how to efficiently operate models within a company’s own data center. The conference is organized by iX and dpunkt.verlag.

Models, Agentic AI, Self-Hosting, and Data Privacy

The conference program covers a range of topics, including an introduction to large language models and current trends, building stable agents with LLMs, multimodal extraction pipelines for complex documents, secure deployment of deep agents, practical experience with productive self-hosting of AI clusters, and data privacy considerations when using LLMs. These sessions aim to provide attendees with a comprehensive understanding of the current landscape and practical guidance for implementation.

Agentic AI, as defined by Microsoft, combines the strengths of traditional software – workflows, state management, and tool utilization – with the adaptive reasoning capabilities of LLMs. This pairing allows agents to understand intent, take action, and interact dynamically with other systems, surpassing the limitations of rule-based automation. The Agentics 2026 conference, as highlighted by web search results, further emphasizes the transformative potential of agentic and generative AI across various human activities.

The NVIDIA GTC 2026 conference will also feature sessions on Agentic AI, focusing on how AI developer platforms grant agents deep access to enterprise knowledge, transforming data into intelligent, production-ready digital workforces.

Workshop on Fine-Tuning Large Language Models

Tickets for the conference day are available at a discounted early-bird price of 279 Euros (plus 19% VAT) until February 25th. An additional online workshop, “Große Sprachmodelle feintunen” (Fine-tuning Large Language Models), on October 30th costs 579 Euros.

Fine-tuning allows organizations to adapt pre-trained LLMs to specific tasks and datasets, improving performance and relevance. This is a critical step in deploying LLMs effectively in enterprise settings.

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The increasing adoption of gen AI is also being driven by real-world use cases from leading organizations, as reported by Google Cloud. This demonstrates the practical value and growing maturity of the technology.

Research also indicates a shift in user perception of AI, viewing it as an exploratory collaborator, particularly with models that are both agentic and multimodal. This suggests a move towards a more interactive and collaborative relationship between humans and AI systems.