AI Funding Programs in 2026 in Germany and Austria
Germany and Austria will fund AI projects in 2026 through several programs with varying funding rates and maximum grant amounts. This article categorizes the Research Grant, ZIM, KMU-innovativ, FFG, and aws programs and outlines the technical requirements for submitting an application.
RAG Explained: Connecting Company Knowledge Securely to Language Models
RAG Explained in Practice: How Retrieval-Augmented Generation integrates a language model with a company’s proprietary knowledge without retraining the model.
Mistral, Llama, and Qwen: Open-Source Models in Enterprise Use
An open-source LLM comparison of Mistral, Llama, and Qwen for enterprise use, focusing on performance, licensing terms, and hardware requirements.
Private AI Models: On-Premises LLMs for Sensitive Data
An on-premises LLM keeps sensitive data in-house but requires an honest cost analysis. This article outlines hardware prices and payback periods.
Calculating the ROI of AI Projects Realistically
The ROI of AI projects can be calculated using a simple formula, provided that internal costs are taken into account. This article explains the calculation process.
AI Governance in the Enterprise: Guidelines, Roles, and Approvals
AI governance in a company requires a policy, clear roles, and an approval process. This article outlines the structure in four steps.
EU AI Act: Compliance Roadmap Through 2028
The EU AI Act sets several deadlines for companies by 2028. This article outlines the current deadlines, the Digital Omnibus, and the next steps.
Generative AI in Industry and Retail: Three Entry Projects with Measurable Benefit
Three projects to get started with generative AI in your company: RAG document search, proposal support, and knowledge assistance for customer service, including costs and timelines based on recent studies.
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