Goals Identify the high-level value chain of your organization Understand where you are in your Digital Transformation Journey Understand the business problem's that the customer is looking to solve Outcomes High-level value chain map of your organization An articulation of the high-level business problem and a solution approach
Evaluation
Combining SQL and ML
Ever wondered if SQL and ML can be leveraged together? SQL ML Services is the best solution to combine both these technologies. Machine Learning Services as a feature in SQL Server gives the ability to run Python and R scripts with relational data. Agenda: A brief overview of the components of SQL ML 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,
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
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
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
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
Evaluation
Component Overview- Power BI
Understand the components and functions of a Power BI Solution Visualize your data and share insights across your organization Develop a data-driven culture
Evaluation
Containers on Azure
Explore different options for hosting containerized applications on Azure Automate the distribution, scaling of operations, and lifecycle management of containerized applications from anywhere
Evaluation
Chatbot Platform Services
Learn Power Virtual Agents Build chatbots using a simple graphical interface - no coding experience required Evaluate bot service options Plan your bot framework and choose a strategy