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About Artificial Intellingence
and Machine Learning

Reasoning and Planning, Learning and Predicting

Depending on business challenges we create, use or adapt the best algorithms in market to achieve high levels of accuracy 

Singularity Digital Enterprise competences in AI and Deep Learning 

Predictive Analysis

Artificial Intelligence Audit

Artificial Intelligence Algorithm creation

Artificial Intelligence Testing

Artificial Intelligence challenge adaptation

As problem solving and machine planning becomes more available and widely spread, and computer processing capabilities become powerfull, faster and more efficient, common challenges become basic computer processes and new demmanding learning, planning and predicting automated machine skills become crucial for the development of new business models, based on data analysis and comprehension.

The ability to get computers to identify patterns, compare, learn and predict, using and building algorithms that can help automate very intense and demanding tasks, that outcome the human capacity in several aspects such as accuracy, reliability, speed or even dimension.

Machine Learning  is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.

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