Ideas and experience in communications, technology and customer service.
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.
By 2026, over 70% of new enterprise content management (ECM) systems will integrate artificial intelligence capabilities to automate processes and enhance efficiency. This will transform ECM from a passive repository into a proactive decision-making tool.
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.
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.
Implementing electronic document management in the public sector is a key factor in accelerating digital transformation. Megapolis.DocNet by InBase becomes a central element of this process, ensuring efficient document management and business process automation.
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.
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
By 2026, over 80% of large corporations will integrate AI capabilities into their electronic document management systems (EDMS) to automate routine operations and enhance efficiency. Megapolis.DocNet, as a key ECM platform, is actively developing in this direction.
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.
Approximately 70% of corporate information remains unstructured, complicating document search, analysis, and management. Effective implementation of ECM systems is critical for optimizing business processes and ensuring regulatory compliance.
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.
