IQusion IT Held Final Seminar on AI Governance and RAG
On October 19, 2026, LLC IQUSION IT held a final training seminar for its clients in the IQusion Days series – “AI Governance and RAG: Enhancing Control…
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IQusion presented updated HR systems with artificial intelligence technologies
On October 16, 2026, at the IQusion Days event, LLC IQUSION IT presented updated human resource management information systems for businesses and…
LLC IQUSION IT Presented Cloud Optimization Approaches Based on FinOps Principles to Clients
On 15 October 2026, LLC IQUSION IT held a presentation titled “FinOps and Cloud Optimization” for its clients as part of the IQusion Days series. The…
IQusion IT Held a Cybersecurity Training Seminar for Clients Based on Zero Trust Principles
On October 14, 2026, LLC IQUSION IT, as part of the IQusion Days cycle, organized a training seminar for its clients on the topic "Cybersecurity Based…
IQusion Presents Opportunities for AI Application in Business Process Management
During the IQusion Days event, LLC IQUSION IT (iQusion IT) demonstrated the capabilities of artificial intelligence in corporate business process…
LLC IQUSION IT Develops Voice AI Agents Implementation for Businesses in Ukraine
LLC IQUSION IT (iQusion IT) has launched the IQusion Days cycle with a series of presentations for potential corporate clients on the application of…
Hybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
Data Mesh and data products: future of system integration by 2027
Transitioning to a Data Mesh architecture resolves integration chaos through data decentralization, data contracts, and moving away from fragile point-to-point connections.
Common integration mistakes that destroy IT architecture
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a managed architecture.
Data governance and data lineage: quality for AI
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
API Management and Data Contracts: Overcoming Integration Chaos
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure enterprise system stability.
Master Data Management: The role of Data Stewards and Owners
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.