INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
479 publications
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflows, email approvals, and fragmented responsibilities often accelerates technical debt rather than resolving it.
OPC UA transforms disparate tags and registers from the OT environment into a unified semantic model for SCADA, MES, ERP, and Edge AI.
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
Geopatriation and sovereign cloud are emerging as responses to regulatory requirements and cyber risks. This article explains when relocating workloads is justified.
Confidential computing, leveraging TEEs, justifies its complexity for banks by protecting data in the cloud during processing from cyber threats and regulatory risks.
The transition to hybrid infrastructures has rendered the traditional network perimeter obsolete. Oleh Kravchenko explains why the Zero Trust model is critically important for protecting resources in modern environments where trust in any user or device is absent by default.
CERT-UA warns of the activation of UAC-0057 with new tools OYSTERFRESH, OYSTERSHUCK, and OYSTERBLUES, requiring public organizations to strengthen their cyber defenses.
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
Integrating data from drones and IoT devices is transforming the management of critical infrastructure and industrial systems, enhancing efficiency and safety.
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.
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.