Evaluation

Understanding Cognitive Services

2021-08-19T13:39:54-04:00

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

                        

Evaluation

Evaluating Azure Databricks

2021-08-19T13:40:03-04:00

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

                        

Evaluation

AutoML Overview

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

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

                        

Evaluation

Azure ML Service Overview

2021-08-19T13:40:22-04:00

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

                        

Adoption

Choosing the right ML framework & tool

2021-08-19T13:41:21-04:00

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

                        

Post Deployment

The Post Deployment AI Journey

2021-08-19T13:44:16-04:00

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

                        

Evaluation

Develop your AI POC

2021-08-19T13:40:29-04:00

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

                        

App Development

Azure DevOps with GitHub

2021-06-03T13:01:27-04:00

Jump-start your organization's digital-transformation with the Azure Virtual Workshop: DevOps with GitHub. This hands-on workshop was designed by Microsoft and GitHub engineering to help you implement modern DevOps practices across multiple engineering teams in your organization. Intended Audience IT Pro (TDM, IT Implementor), Developers, App Owners, Engineering Managers, Development Leads. Duration 6 Hours Course Read More

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