Do you want to transform your workforce, delight customers and cut costs with the help of business intelligence using cognitive automation?
Zuci’s Cognitive Automation Services
Zuci has been at the forefront of solving business problems using AI, ML, and computer vision technologies with Robotic Process Automation. We transform unstructured tasks into rule-based and structured tasks which enables end-to-end enterprise automation, thanks to our cognitive automation expertise.
Businesses that bank on us
There is a lot of unstructured data available. Robotic Process Automation automates structured processes, but Cognitive Automation has the ability to structure the unstructured data for intelligent automation. It uses cognitive elements such as Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and other techniques to add meaning to the data.
Benefits of Cognitive Automation:
There is a lot of unstructured data available. Robotic Process Automation automates structured processes, but Cognitive Automation has the ability to structure the unstructured data for intelligent automation. It uses cognitive elements such as Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and other techniques to add meaning to the data.
Benefits of Cognitive Automation:
Zuci’s Cognitive Automation process with a client looks like this
SCOPE REQUIREMENTS
Understanding what our clients want and finding out how we can help them with cognitive automation is the first process we undertake.
DATA ANALYSIS
At this stage, the data that we have at our disposal is completely analysed. The implementation of the solution happens at this stage based on the data we have collected and the requirements of the client.
MODEL CONFIGURATION
The team develops the solutions based on RPA, Big Data, and Machine Learning. Different modules and interfaces are developed during this stage.
MODEL’S ACCURACY
We use random data to find the accuracy of the model that we have built. If the results are not satisfactory, then we re-work and find better solutions.
DEPLOYMENT
In this phase, the technology is deployed on the client’s system. All the other details will be mentioned during this so that the client can work on it independently.
SUPPORT
If there are instances where the components are not working at its optimal best, then the clients are alerted so that they can take measures.
Zuci’s Cognitive Automation process with a client looks like this
SCOPE REQUIREMENTS
Understanding what our clients want and finding out how we can help them with cognitive automation is the first process we undertake.
DATA ANALYSIS
At this stage, the data that we have at our disposal is completely analysed. The implementation of the solution happens at this stage based on the data we have collected and the requirements of the client.
MODEL CONFIGURATION
The team develops the solutions based on RPA, Big Data, and Machine Learning. Different modules and interfaces are developed during this stage.
MODEL’S ACCURACY
We use random data to find the accuracy of the model that we have built. If the results are not satisfactory, then we re-work and find better solutions.
DEPLOYMENT
In this phase, the technology is deployed on the client’s system. All the other details will be mentioned during this so that the client can work on it independently.
SUPPORT
If there are instances where the components are not working at its optimal best, then the clients are alerted so that they can take measures.
