Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
65 publications
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.