AI у FinOps: Optimizing cloud spending in multi-cloud environments
AI in FinOps aids in forecasting and controlling cloud expenditure, ensuring budget transparency and resource management discipline.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
5 publications
AI in FinOps aids in forecasting and controlling cloud expenditure, ensuring budget transparency and resource management discipline.
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 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.
Implementing SCADA systems enables centralized control and management of production processes, significantly enhancing efficiency and safety. This technology is key to industrial digitalization.
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 the ECM solution. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for