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Solution
Consulting
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 modelling possibilities.
Big Data Application Development
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.
Modeling
Our Data Science experts design complex mathematical models and NLP techniques to implement analytical solutions.
Technologies: R, Python, NLTK, Weka, etc.
MLOps
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, Azure ML Studio
AI-powered Robotic Process Automation
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.
Chatbots and Natural Language Processing
Conversation Design
Essentially UI/UX 2.0. Our interfaces will drive conversations by combining Natural Language Interfaces with traditional UI elements like buttons, menus and images. We strive to create as intuitive and simple an experience as possible, so as to replicate the human touch in a conversation.
Chatbot Architecture
We’ve built bots for internal use and clients, and we know which permutations of APIs, frameworks and plugins will work best for which use-cases. We’ve used multiple technologies for queuing, data processing, NLP, third party integration, and worked with multiple open-source platforms.
Natural Language Processing
We use NLP and NLU to parse languages and identify various categories such as entities, intents, actions and context around which responses could be framed. We use technologies such as API.ai, NLTK, CoreNLP and smoochBlob. Of late, we’ve been focusing on voice to text for chatbots, for the comprehensive chat experience.
Processing Pipeline
We help minimize false positives and false negatives with a pre-processing pipeline to handle common errors with dependency parsing, lemmatization, POS-checking and more. We also improve entity recognition, concept/synonym recognition, etc.
Featured Industry Work
Healthcare
EMR analytics, readmission rate prediction, detecting fraudulent insurance claims, among other things. And a decade of extensive business experience in Healthcare to boot.
Retail
We’ve built algorithms to help retailers predict optimal promotion pricing, discounts, inventory and more. We’ve also built intelligent AI-powered chatbots for eCommerce businesses.
Finance
Fraud detection, enhanced credit scoring based on social data, funnel optimization, and other custom-built solutions for financial institutions.