Domain-specific AI models for enterprise applications
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
AUTHOR / Euro Consulting
Bohdan Tkachuk
Digital Practices Editor
About
Euro Consulting editorial profile. Focus: digital practices editor. Publications cover business-process governance, internal controls and digital change. This profile uses an editorial name.
Published articles44Explore articles
Author’s publications
Current articles · 44Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
Industrial IoT and SCADA: Key Trends for 2026
Industrial IoT and SCADA systems are transforming manufacturing. We examine the key trends for 2026: AI, cybersecurity, cloud solutions, and integration.
Industrial IoT and SCADA trends for 2026
Industrial IoT and SCADA: key trends for 2026. Integration of AI, cloud solutions, and cybersecurity for manufacturing automation.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
RPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
Low-code для бізнесу: можливості платформи (2026)
Discover how the combination of AI and low-code platforms enables CIOs to rapidly automate business processes, minimize risks, and optimize operations.
AI-driven low-code accelerates BPM development by 2026
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
AI-driven data governance for system integration quality
By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT land
RPA and low-code accelerate BPM processes with Scriptum by 2026
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
API-driven system integration accelerates enterprise time-to-market
Integrating enterprise systems via API is a key factor for quickly bringing new products and services to market. This approach ensures flexibility, scalability, and efficiency in data exchange across diverse IT landscapes.
Data governance and enterprise data management for system integration
Increasing data volumes and stricter regulatory requirements necessitate that organizations implement comprehensive Data Governance approaches. Effective system integration is a key factor in realizing these strategies.