Wipro HOLMES

Wipro HOLMES – Artificial Intelligence Platform is a rich set of cognitive computing services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, robotics and drones.

Wipro HOLMES is developed using machine learning, natural language processing, genetic and deep learning algorithms, semantic ontologies, pattern recognition and knowledge modeling technologies to provide solutions that deliver cognitive enhancement to experience and productivity, accelerate process through automation and at the highest stage of maturity reach autonomous abilities.

Wipro HOLMES is designed with a focus on enterprise use cases from IT and Business process areas, has the ability to continuously learn from new data, recommend a solution and predict failures. The following are the applications of Wipro HOLMES.

It offers enhanced user experience with capabilities like speech recognition, natural language understanding such as Collaborative Agents, Customer Support/Experience and DIY Support. Its Predictive Systems works by extracting meaning from different forms of data, using tools and techniques – to discover patterns, predict future outcomes and trends.

Wipro HOLMES’ also provides visual computing applications that can acquire, analyze and help synthesize realistic interactive interfaces and identify patterns. It is a system that can curate knowledge by using AI techniques and relies on usage of expert knowledge databases to arrive at decisions.

This includes Diagnostic Experts, Advisory Systems and Natural Language Generation. Lastly, Robotic automation is powered by a repetitive set of instructions. These instructions are mostly defined by the user and sometimes machine-learnt. They can be fed into the system by analyzing repetitive patterns. These features are what make Wipro HOLMES an effective tool to help businesses grow.

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.