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.

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

We have offers no matter what stage of the technology acquisition journey you are on.

Crawl

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.

Walk

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

Run

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

Book an Appointment
Arash Askary
Cloud 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.

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

technical solutions

Take advantage of our free learning

2021-08-19T13:39:54-04:00
Understanding Cognitive Services

Understanding Cognitive Services

                        

Evaluation

Understanding Cognitive Services

Explore a wide variety of cognitive options in Text, Speech, Image, Web Search for building your solutions. Cognitive Services is a purpose-built collection of AI algorithms and application programming interfaces ( APIs) to help developers add AI capabilities to websites, apps, and AI agents. Cognitive Services allow enterprises to support AI research staff, infrastructure, Read More

2021-08-19T13:40:03-04:00
Evaluating Azure Databricks

Evaluating Azure Databricks

                        

Evaluation

Evaluating Azure Databricks

Azure Databricks is the jointly developed data and AI service from Databricks and Microsoft for data engineering, data science, analytics, and machine learning. Agenda: Understand how Azure Databricks are tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Machine Learning, Azure Synapse Analytics, Power BI, and other Azure services to store all Read More

2021-08-19T13:40:13-04:00
AutoML Overview

AutoML Overview

                        

Evaluation

AutoML Overview

A deeper dive into the AutoML to build a high-quality model by automating algorithm selection and hyperparameter selection. Automated machine learning (AutoML) for dataflows enables business analysts to train, validate, and invoke Machine Learning (ML) models directly in Power BI. It includes a simple experience for creating a new ML model where analysts can use their Read More

2021-08-19T13:40:22-04:00
Azure ML Service Overview

Azure ML Service Overview

                        

Evaluation

Azure ML Service Overview

A deeper dive into the Azure Machine learning Service to build integrated, end-to-end Azure data science and advanced analytics solutions that enable data scientists to prepare data, develop experiments, and deploy models at a cloud-scale. Agenda: Gain a deeper understanding of Microsoft Azure ML service functionality and limitations. Understand how the different components of Read More

2021-08-19T13:41:21-04:00
Choosing the right ML framework & tool

Choosing the right ML framework & tool

                        

Adoption

Choosing the right ML framework & tool

Choosing the right framework and right tools for your business problem is the first and foremost step of AI adoption. This can be overwhelming at times because of the plethora of options out there. We at DSI can guide you in this decision-making process understanding your requirements and pinpointing them in the right directions. Read More

2021-08-19T13:44:16-04:00
The Post Deployment AI Journey

The Post Deployment AI Journey

                        

Post Deployment

The Post Deployment AI Journey

Implement an early end-to-end integration to iterate faster by using small and valuable increments. Create an entire deployment process, continuous monitoring, and management strategy. Agenda: Evaluate the best approach to train and serve models to production – batch / real-time. Adopt ML System Architecture and Writing Production-Ready Codes. Model Deployment, Monitoring, Maintenance Measures – Read More

2021-11-18T14:32:11-05:00
Develop your AI POC

Develop your AI POC

                        

Evaluation

Develop your AI POC

Simplify your advanced analytics journey by leveraging Microsoft technologies such as cognitive services, Azure ML Studio, ML designer, Auto ML, Azure Databricks, and more. Agenda: Build your Proof of Concept (POC). Evaluate data quality & understand your requirements. Deliver top-notch POC’s with the best tools to address your business challenges with insights that have Read More

2021-08-19T13:41:31-04:00
Data & Business Understanding – Becoming AI Driven

Data & Business Understanding – Becoming AI Driven

                        

Adoption

Data & Business Understanding – Becoming AI Driven

Implement robotic process automation to your business analytics, predictive analytics, and artificial intelligence. Leverage ML and AI technologies using Microsoft Azure tools to transform your business needs and maintain a competitive edge. Agenda: Understand your AI maturity. Address your specific data-intensive processes and existing business analytics systems. Define your business problem and audit your Read More

You may also choose to book an on-demand session with our trainers

Trends & Technology Updates

Charting Your Data Platform Modernization Future with DSI: Beyond the Traditional Vendor-Client Relationship

Charting Your Data Platform Modernization Future with DSI: Beyond the Traditional Vendor-Client Relationship

April 26, 2024
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Beyond Data Management: Exploring the Capabilities of MS Fabric

Beyond Data Management: Exploring the Capabilities of MS Fabric

April 19, 2024
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