Machine Learning allows to "program" a computer not through the writing of software but through examples.
Credit Management
We use a custom Deep Learning Neural Network design to treat each data as potentially essential for critical insights
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The use of Artificial Intelligence, Machine Learning and Data Science becomes increasingly central to companies’ strategies. Those technologies bring a measurable business value, thanks to data exploitation.
Our team consists of Data Scientists and Machine Learning Engineers. We aim to raise awareness among companies about the importance of investing in these technologies and we enable them to innovation.
We help companies to define specific roadmaps to digital innovation.
RPA is a technology capable of automating business processes. It is not a physical "robot" but a software that allows to emulate the activities of a human resource, using the same systems and respecting company policies.
RPA is useful when there are repetitive and recurring processes. The adoption of robotics allows a rapid and favorable change in economic terms: typically it generates a ROI of 5: 1, often recovering the investment in the first year.
Improvement of overall delivery times.
High scalability, in the face of volume peaks.
Reduction of execution time: a robot can perform the work of 5 FTE, working 24x7x365 h/year.
The error rate is 0%.
A robot costs about a third of an offshore FTE and a fifth of an in-house FTE.
No need for changes or evolutions of the existing application park.
Machine Learning allows to "program" a computer not through the writing of software but through examples.
Machine Learning tools are very useful when it is not known - or difficult to define - the logic that leads to a desired result (for example, autonomous driving).
The tools offered by Data Science make it possible to extract information from data. In fact, the world is full of data, but the data itself does not bring any advantage to a company, but it represents a burden of maintenance.
With Data Science tools, you can analyze important amounts of data, interpret them, and turn them into information much sooner and faster than manual analysis can.
The use of Artificial Intelligence, Machine Learning and Data Science becomes increasingly central to companies’ strategies. Those technologies bring a measurable business value, thanks to data exploitation.
Our team consists of Data Scientists and Machine Learning Engineers. We aim to raise awareness among companies about the importance of investing in these technologies and we enable them to innovation.
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We help companies to define specific roadmaps to digital innovation.
RPA is a technology capable of automating business processes. It is not a physical "robot" but a software that allows to emulate the activities of a human resource, using the same systems and respecting company policies.
RPA is useful when there are repetitive and recurring processes. The adoption of robotics allows a rapid and favorable change in economic terms: typically it generates a ROI of 5: 1, often recovering the investment in the first year.
Improvement of overall delivery times.
High scalability, in the face of volume peaks.
Reduction of execution time: a robot can perform the work of 5 FTE, working 24x7x365 h/year.
The error rate is 0%.
A robot costs about a third of an offshore FTE and a fifth of an in-house FTE.
No need for changes or evolutions of the existing application park.
Machine Learning allows to "program" a computer not through the writing of software but through examples.
Machine Learning tools are very useful when it is not known - or difficult to define - the logic that leads to a desired result (for example, autonomous driving).
The tools offered by Data Science make it possible to extract information from data. In fact, the world is full of data, but the data itself does not bring any advantage to a company, but it represents a burden of maintenance.
With Data Science tools, you can analyze important amounts of data, interpret them, and turn them into information much sooner and faster than manual analysis can.
info@kireygroup.com
57, Via Benigno Crespi
20159 Milan
Società soggetta a direzione e coordinamento di Kirey S.r.l.
Registered Capital €1.089.620,00
Registered Capital €1.089.620,00 kirey@pec.it
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Email: info@kireygroup.com
57, Via Benigno Crespi – 20159 Milan
