Machine Learning

Machine Learning combined with Deep Learning creates a self-healing, self-learning addition to any enterprise, alongside the Quantum AI Engine. This enhances personal security, allows more time for innovation, reduces the risk of identity theft, and automates the mundane tasks to a trusted learning platform. Thus, leaving you with more time to grow and develop.

Create processes to reduce the mundane

In every role there’s an element of the mundane! What if this could be reduced so the tedious and repetitive tasks could be removed by automation? It’s a reality that the amount of time spent that’s costly for the business, it’s less than rewarding for the individual, however what used to be a necessity can now become a task that can be created as a process.

As Machine Learning progresses within the organisation it will continue to improve its results. Experience and accuracy is improved as more data is used and historically understood, to become a critical element of artificial intelligence that’s needed to provide automation and process through dynamically changing algorithms.

Creating the competitive edge with deep learning

Using ML in the workplace

Having a tool set that can be organised to work by your side provides a reporting tool for identifying trends and patterns quickly and easily. Many of these need no human intervention at all once created and can be left to digest data and turn this into meaningful information with depth, accuracy and speed.

Leaving it to run doesn’t mean it stands still, quite the reverse, once in play there is continuous improvement within a wide breadth of applications; processing multidimensional data from multiple sources.

Deep learning can manage complex datasets

Machine intelligence is the last invention that humanity will ever have to make.

– Nick Bostrom

Knowledge Acquisition is Key

Vast quantities of data can be cross-referenced to continually improve the accuracy and results given without Human Intervention. It’s acquiring knowledge over time, providing improved data learning for continually-enhanced results.

Improving decision-making in all environments depends upon the data being referenced in conjunction with the historic information previously referenced.

Automation is a wide offering, to apply this to industry requires a period of data acquisition. Flat files to dynamically changing complex repository data lakes can all contribute to enhance the capability to automate processes based upon experience, learning and business requirement.

Automatically reduce the false positives

Reporting on logs can be a tedious event, but critical! With any kind of data, the task can be mundane and so human error can creep in where repetitive volumes of information are processed. As a result the valued information that should be found or retrieved are easily missed among the raft of irrelevant ones.

On-Demand Intelligence

In every project and business process, clarification is required to unlock a single source of the truth from your big data. Quantum provides the user the access to research and clarify the project needs in an online state; that is, on-demand, as and when it’s required. Self-healing, self learning, the system is waiting and ready when you are to battle the demands together.