Our Solution Consultants will closely work with the client’s executive, business and technical stakeholders to craft analytical solutions.
It is a delicate balancing act between business drivers, feasibility based on data availability, and modeling possibilities.
Big Data application team implements tested Data Science Models and NLP Algorithms at scale. This team also builds applications through which the analytical solutions are consumed by the end user.
Technologies: Apache Spark, Storm, Hadoop, Pig, Kafka, Hive, HBase, etc.
Our Data Science experts design complex mathematical models and NLP techniques to implement analytical solutions.
Technologies: R, Python, NLTK, Weka, etc.
Our MLOps team handles the end-to-end management of the Big Data infrastructure from Data Acquisition to Model Engines on on-premise or Cloud. We can roll your own infrastructure or leverage managed infrastructures like AWS EMR or Altiscale.
Services: Automated infrastructure provisioning. Continuous integration and delivery pipelines. Implementation and management of large clusters of Hadoop, Spark etc. Real-time monitoring and service management. Security consulting and implementation.
Technologies: Sagemaker, MLFlow, and Azure ML Studio
Robotic Process Automation helps delegate mundane tasks to algorithms. We combine RPA solutions with our already established strength in implementing AI to offer Intelligent Process Automation solutions. The automation we provide is an evolved version of RPA, where machines mimic human actions in terms of autonomous decision-making and cognitive capability.
We leverage Machine Learning, Natural Language Understanding and Computer Vision to make sure your processes aren’t just automated, but autonomous and intelligent.
Technologies: AntWorks, Blue Prism, UiPath, Automation Anywhere, etc.