He has more than 30 years of experience in managing engineering services for global projects. True believer of expanding technology prowess across all strata of society
Traditional Data Analytics solutions rely on large volume of historical data. Gathering a huge amount of data is a longer and time-consuming process for businesses and it calls for prior readiness. With COVID-19, we realised that business processes practices may change rapidly giving little scope of data collection.
As opposed to big data, small and varied data from structured and unstructured sources can provide contextual information and deeper insights of data. These processed data compiled from various sources subsequently can be utilized for AI/ML Solutions. Clients can leverage these data insights and predictive solutions for decision making which are faster, evolved and appropriate.
As opposed to big data, small and varied data from structured and unstructured sources can provide contextual information and deeper insights of data. These processed data compiled from various sources subsequently can be utilized for AI/ML Solutions. Clients can leverage these data insights and predictive solutions for decision making which are faster, evolved and appropriate.
Vision
To be a valuable technology partner to our Clients, delivering quantifiable business values through digital transformation by Machine and Human Collaborations
Team
Meet Our passionate & Dedicated Team Member’s
Our team of motivated people are engaged to leverage potential of Al/ML to overcome challenges due to data insufficiencies. Collective experience in different industries ( Services and Financial) is more than 50 years.
Sudipta Samanta
Aloke Bhuniya
He has more than 20 years of experience in managing the business in financial sectors for domestic and international Clients. He is passionate about creating values through new edge technologies.
Bithika Samanta
She has over 25 years of experience in leading AI/ ML R&D teams and designing solutions to automate complex business processes across various verticals. She is passionate about driving digital innovation to meet business goals by adopting appropriate technologies and strategies especially in the field of Computer Vision and related technologies.
