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Robotic Process Automation (RPA) leverages low code/no code software robots to automate rules-based business processes that involve repetitive tasks and deterministic outcomes. RPA solutions increase productivity, efficiency, accuracy, and employee satisfaction all while saving costs and freeing up time for high-value work.
*RPA automates routine tasks.
Machine Learning (ML) can find and analyze patterns in complex data, allowing for modelling based on those patterns in order to build AI. ML maximizes the use of existing and future data and opens the potential for solutions that can continue to improve over time.
*ML finds patterns in data.
Artificial Intelligence (AI) – While RPA automates tasks and ML finds the patterns in the data, AI uses ML algorithms to automate decisions about that data, simulating human intelligence to carry out tasks without being explicitly programmed to do so.
*AI automates decisions.
Intelligent Automation (IA) – also known as hyperautomation – leverages RPA, ML, AI, BPM and advanced analytics to rapidly automate complex business and IT processes, ultimately accelerating digital transformation.
Digital Transformation (DX) refers to the journey that companies undertake to make use of evolving digital technologies including data, analytics, and AI. This transformation encompasses IT modernization.
IT Modernization improves organizations’ technology and business processes for efficiency, convenience, capability, security, scalability, and profitability. Each individual IT modernization is a step in the digital transformation journey.
Low code/no code implies the building of software through visual components instead of writing lines of code.
