Mphasis
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Algorithmic bias is a major concern in models predicting outcomes for people such as loan approval, hiring, committing crime in the future etc. Algorithmic Bias needs to be detected and corrected to ensure that historically disadvantaged groups are not being discriminated against. The solution utilizes bias metrics at different levels of strictness to identify demographic and statistical disparities in groups results.
Mphasis helps enterprises leverage the power of Quantum Computing in solving business problems in areas such as Machine Learning, Optimization and Simulation. We engage with our customers through Quantum computing services such as Assessment, Workshops, Consulting and Algorithm Development.
This solution generates a standardized output for input files from various sources containing insurance policy related data.
Autocode Text To Golang Code Recommender takes a code related user text query as input and returns 3 optimal code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community.
Autocode Text To Ruby Code Recommender takes a code related user text query as input and returns 3 optimal Ruby code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community.
Autocode Text To PHP Code Recommender takes a code related user text query as input and returns 3 optimal PHP code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community
A Deep Learning based incident forecasting solution for efficient incident management of IT Infrastructure.
Quantum simulator based solution for selecting optimum locations for delivery points.
Damaged Shipment Prediction analyzes images of shipment packages and predicts with whether they are damaged or not.
Mphasis Reviews
Tikum T.
Productivity and efficiency of Software
Pawan R.
Systems EngineerAutomated Image Classifier using DL make image classification much easier.
Miguel C.
Tools accuracy and efficiency
About
What is Mphasis?
Mphasis Stelligent, with its website located at https://stelligent.com/, specializes in providing DevOps automation and continuous delivery solutions on the Amazon Web Services (AWS) cloud platform. As part of Mphasis, a larger IT services company, Stelligent focuses on helping clients automate and accelerate the development, testing, and deployment of applications within AWS environments. Their suite of services includes consulting, engineering, and automation expertise to implement secure and scalable CI/CD pipelines, facilitating a faster go-to-market strategy for enterprises across various sectors. Stelligent's approach integrates tightly with AWS technologies, offering tools and practices that enhance the cloud capabilities of their customers, ensuring efficient and innovative cloud-based solutions.