Data Management governs the data lifecycle: quality, cataloging, integration, access, governance and preparation for analytics and AI.
When a major bank decided to migrate part of its critical financial operations to the cloud, it faced a dilemma: how to ensure regulatory co…
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations…
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a manage…
The integration of artificial intelligence into electronic document management systems opens new opportunities for automating routine tasks,…
The AI Act is changing the game for telecom operators. How to prepare VoIP and contact center data and architecture for new regulatory requi…
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.…
Industrial IoT and SCADA systems are transforming manufacturing. We examine the key trends for 2026: AI, cybersecurity, cloud solutions, and…
Industrial IoT and SCADA: key trends for 2026. Integration of AI, cloud solutions, and cybersecurity for manufacturing automation.…
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approa…
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial i…
An improperly managed employee offboarding process can pose a direct threat to a company's cybersecurity, opening avenues for data breaches …
In today's threat landscape, where security perimeters are blurred, traditional infrastructure protection approaches are insufficient. The Z…
