Advanced Analytics with Power BI 201808
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The document outlines various Microsoft tools and services related to artificial intelligence and machine learning, including Azure AI services, machine learning model management, and cognitive services. It highlights features such as experimentation environments, serverless deployment, and data preparation modules aimed at supporting emerging data scientists. Additionally, it provides links to further resources and examples of data applications to enhance business intelligence and insights across organizations.
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Advanced Analytics with Power BI 201808
- 9. 1950 1960 1970 1980 1990 2000 2010
- 10. Azure AI Services Azure Infrastructure Tools
- 16. Local machine Scale up to DSVM Scale out with Spark on HDInsight Azure Batch AI (Coming Soon) ML Server Azure Machine Learning - Experimentation A ZURE ML EXPERIMENTATION Command line tools IDEs Notebooks in Workbench VS Code Tools for AI
- 17. DOCKER Single node deployment (cloud/on-prem) Azure Container Service Azure IoT Edge Microsoft ML Server Spark clusters SQL Server Azure Machine Learning – Model Management A ZURE ML MODEL MANAGEMENT
- 20. Visual Studio Tools for AI Visual Studio extension with deep integration to Azure ML End to end development environment, from new project through training Support for remote training Job management On top of all of the goodness of Visual Studio (Python, Jupyter, Git, etc)
- 21. Azure Machine Learning Studio Platform for emerging data scientists to graphically build and deploy experiments • Rapid experiment composition • > 100 easily configured modules for data prep, training, evaluation • Extensibility through R & Python • Serverless training and deployment Some numbers: • 100’s of thousands of deployed models serving billions of requests
- 22. Machine Learning & AI Portfolio When to use what? What engine(s) do you want to use? Deployment target Which experience do you want? Build your own or consume pre- trained models? Microsoft ML & AI products Build your own Azure Machine Learning Code first (On-prem) ML Server On- prem Hadoop SQL Server (cloud) AML services (Preview) SQL Server Spark Hadoop Azure Batch DSVM Azure Container Service Visual tooling (cloud) AML Studio Consume Cognitive services, bots
- 34. Sign up
- 35. Self-service customization done in days… Full rich AI tools and framework provides unlimited possibilities
- 36. Demo
- 41. √
- 45. Sample sale data to share with the Business Intelligence team to demo how easy it is to gain insights out of siloed data across the organization.