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
By 2026, 40% of web application attacks will leverage APIs as the primary vector, necessitating a reevaluation of security approaches in system integration. Artificial intelligence is becoming a key tool for detecting and preventing these threats.
The growing volume of unstructured data necessitates new archiving approaches. Scriptum.Repository, developed by InBase, integrates AI for efficient corporate archive management, ensuring rapid access and regulatory compliance.
Companies face daily challenges in processing large volumes of data, automating routine processes, and making decisions. AI agents are becoming a key tool for addressing these tasks, providing a new level of efficiency and adaptability.
The integration of artificial intelligence into electronic document management systems, particularly Megapolis.DocNet, opens new opportunities for automating routine tasks, enhancing efficiency, and improving information security. This enables a reevaluation of approaches to archiving and corporate
AI agents extend beyond chatbots, integrating into business processes within corporate systems to perform actions rather than merely answering questions.