AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
24 publications
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
AI-driven ECM is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
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, 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 SCADA systems enables centralized control and management of production processes, significantly enhancing efficiency and safety. This technology is key to industrial digitalization.
Implementing electronic document management in the public sector is a key factor in accelerating digital transformation. the document management system by the IT team 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. the document repository, developed by the IT team, 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 the ECM solution. 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. the document management system, as a key ECM platform, is actively developing in this direction.