Discover all you can do with...
Simple answer: Automate tasks which can be performed more efficiently by robots and augment your data analytics capabilities.
Robot Process Automation (RPA)
RPA combines applications of Artificial Intelligence and Machine Learning to create robots which can emulate human interaction using software and hardware.
It encompasses the acquisition of structured or unstructured inputs and the programming of underlying business logic into a robot, allowing it to autonomously execute tasks.
Its application scope is broad but the benefits of RPA generally come from the automation of routine and repetitive tasks, particularly those which are predictable and based on programmable rules.
Robots can be split in 3 major categories:
Artificial Intelligence (AI)
The study of how to train computers so they can handle tasks traditionally attributed to humans. In other words, it means training computers so that someday they can take over tasks in which they are more efficient than humans. A landmark application of AI has been in x-ray analysis, in which a computer can be extra sensitive to light patterns and recognise trends based on a volume of data that is out of the reach of most humans.
Machine Learning is the process through which an AI entity can learn new things from experience, without the need for being taught. This requires the exposition of AI to a large amount of data with the validation of results being conducted in parallel by both humans and AI itself. This way an AI can recognise new information on its own and generate new information from apparently disconnected data using self learning algorithms.
Deep learning is a subset of machine learning in artificial intelligence (AI) that comprises networks capable of unsupervised learning, from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network, these algorithms and infrastructures can learn without human dependency.
What can you do with RPA and Machine Learning?
Automate routine tasks for users and agents of your organisation,
increase the effectiveness and efficiency of your digital processes.
Find some practical examples bellow.
Predictive Analytics is a very complex process requiring multiple techniques and multiple competences to prepare-it so actionable results can be obtained.
Usually this process requires multiple statistical techniques ranging from data mining, predictive modelling and machine learning so it can be properly setup.
WHAT WE DO
Solutions Design and Architecture
Development, Implementation and Maintenance
TECHNOLOGIES WE WORK WITH
Found something interesting?
Get in touch and find out all we can do together
Give Us A Call
(+351) 914 001 194
R. António Champalimaud, 1 1600-514 Lisbon, Portugal
Send Us A Message
(+351) 914 001 194