Machine Learning
We equip Machine Learning capabilities with complex data interpretation, mathematical optimization, pattern detection, trend recognition and computational intelligence.
We Provide An AI Strategy That Includes A Project Plan And Structured Approach To Build A Foundation For AI Adoption. We Accelerate AI Enablement Step-By-Step:
AI Readiness Assessment – We Assess Infrastructure, Existing Systems, Tech Stack, Tools, And Process To Analyze Whether An Organization Is Ready For AI.
AI Use Cases – We Develop Use Cases Through Which The Organization Can Avail Benefits Of AI.
Adoption And Implementation Timeline – We Create Timelines For MVP, Algorithm Development, Deployment And Evaluation.
Future Roadmap – We Create An AI Ecosystem With A Roadmap To Adopt Emerging AI Technologies And Concepts.
We Focus On The Below While Assessing An Organization In All Aspects For Ai Readiness:
To Evaluate The Results Of AI Implementation, We Create Use Cases Around Business Processes Which Will Be Transformed With AI. We Create Strong Use Cases With The Following:
The quality of data determines whether the developed AI models deliver business value. We set up a process that leverages data exploration, data cleansing, data structing and data labelling to prepare data. We ensure data preparation is streamlined to improve the efficiency of AI models, and provide the flexibility for models to pivot and solve new problems.
We have a strong expertise in developing Machine Learning and Deep Learning models for various industries. Our differentiators in AI modeling include:
We understand that AI models need to work with other systems within an organization to meet its business objectives. So, we help organizations to create a stimulated environment and test AI models in defined use cases. We ensure the robustness of AI models with the following:
With our years of experience in deploying a broad range of AI solutions, we have prepared a checklist for successful AI deployment. We work with organizations and ensure the production environment is built on scalable and reliable infrastructure. Adhering to the checklist, and with utmost diligence we deploy AI models with inference requests in real-time and batch as per the use case.
An organization’s data and business processes tend to change with change in business models and business offerings. So, we offer maintenance and continuous monitoring to: