Technologies
Technologies to drive Hyper-automation of business
HYPER-AUTOMATION
Advanced approach that goes beyond the simple automation of individual tasks, integrating different advanced technologies with the objective of automating complex end-to-end processes in a comprehensive manner.
ROBOTIC PROCESS AUTOMATION (RPA)
Technology that uses software robots to automate repetitive, rule-based tasks, improving operational efficiency and allowing organizations to focus on higher-value activities.
INTELLIGENT DOCUMENT PROCESSING (IDP)
Technology that combines Artificial Intelligence and machine learning to automate the capture, classification, processing and extraction of document data.
GENERATIVE IA (LLM/NLP)
Approach based on AI LLM and NLP models to automate the generation and understanding of text and images, improving operational efficiency and facilitating the achievement of organizational goals.
LOW/NO-CODE
Application development and automation technology without the need for advanced programming, making it easy for non-technical users to quickly create customized solutions.
BUSINESS PROCESS MANAGEMENT (BPM)
An approach that seeks to understand, model, analyze, improve and control business processes to achieve strategic and operational objectives.
PROCESS AND TASK MINING
An approach that uses data analytics technology to discover, monitor and improve business processes, providing visibility and deep understanding of them.
BUSINESS INTELLIGENCE (BI)
Data analysis technology and techniques to transform information into strategic insights, enabling organizations to make informed decisions and improve their operational performance.
