An end to end management of AI/ML transformation ranging from laying a data foundation to creating infrastructure to statistical modelling to applying and industrializing AI/ML
Understanding the “deep smarts” that drive an industry and knowing the right questions to ask
Working with diverse teams of data scientists, data engineers, programmers and domain specialists and business owners
Ability to adapt statistical models and algorithms to unique client requirements.
Computational capabilities in fields such as Statistics, Probability, Distributions, Mathematics, Algorithms, and Distributed computing.
Lumiq is a data strategy company that powers data driven decision making & intelligent automation. Our goal is to help customers leverage all data across different user groups and drive insights into action quickly and at a lower cost by adopting a step-by-step iterative approach of integrating AI/ML with data modeling.
We design and execute e2e AI Transformation initiatives. Our expertise is in building a data foundation, deploying data science models and enabling self-learning for models. Our deep technical expertise , pre-built functional components and our ability to comprehend business outcomes make us reliable partners for any AI transformation journey. Our unique workshop approach has helped multiple customers achieve successes in shortened time frames for their AI transformation projects.Get to know how we can help
Crisp Analytics' (Lumiq) talent lies in architecting solutions for the future, today. Having deep expertise around data science and data engineering allows Lumiq to build data solutions quickly, efficiently and effectively. The ability to deeply understand both business and tech allows Lumiq to chart out the architecture and implementation smartly." (A customized solution was delivered using Amazon S3, EC2, EMR, Elasticsearch, Aurora, Lambda, SQS, and SES).
Team demonstrated their deep understanding of the business, data and AI technology and delivered many successful projects in our Collections and Risk Control departments