DATA SCIENCE

Making the most of your data

Data Science is the practice of applying advanced machine learning techniques to address complex business problems. At DSI, we combine our client’s domain expertise and data with our AI expertise to develop production-ready AI models.

Arash Askary
Arash AskaryCloud Solution Architect - Data Science
Arash is an academically trained Data Scientist with a thorough understanding of big data analytics and a deep fascination with its implications for our future. He is a problem solver, big thinker and a team player. His passion resides in using machine learning to identify patterns within data and develop AI based applications that enable smarter business decisions.

Combine your domain knowledge and data with our machine learning expertise to build powerful AI solutions

A free half-day session on machine learning to enhance your internal capabilities followed by a discovery session to collaboratively define business use-cases that can be addressed with the latest in AI.

Free discovery session to collaboratively define your business problem before developing a minimal viable ML product that objectively demonstrates value.

Full end-to-end AI application build, with retraining, model management pipelines & data surfacing layer.

Allow us to assist you on your AI adoption journey

A PaaS offering from Azure that provides full end-to-end control over the Data Science lifecycle, including compute resources, experimentation, model & data registries, deployment and monitoring.

A term coined by Gartner: a person who develops statistical models but whose primary job function is outside the field of statistics. Allow us to get you started on your Data Science journey by registering for our Data Science 101 sessions!

Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning has enabled us to build statistical models that can detect objects from images, recognize speech, translate languages and much more. Join our AI in a day session to learn more about the intricacies of deep learning!

MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle – from conception to productionization and maintenance

Data Science Process:

Using a variety of Azure services, data from various sources is transferred into an AI-enabled environment to build optimized models that are deployed and utilized by business users

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