INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
69 publications
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) integration, necessitating a reevaluation of sensitive information protection in the age of artificial intelligence.
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.
This Scriptum article explores how artificial intelligence can streamline companies' financial processes.
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, companies will face intensified cybersecurity demands and the need to optimize ISO/IEC 27001 audit processes. The application of artificial intelligence will significantly automate this process, minimizing human errors and reducing preparation time.
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.
Discover how AI centers are transforming document management, minimizing risks, reducing costs, and scaling business processes.
Approximately 60% of corporate data breaches in 2025 were recorded after an employee's termination, while their access formally remained active. Insider threats continue to be one of the most complex cybersecurity challenges.
Discover how AI and IDP are transforming document management, minimizing risks, accelerating processes, and enhancing efficiency for IT Directors.
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.
Integrating AI and low-code platforms significantly accelerates business processes and reduces operational costs for companies.
