Azure AI/ML Ideation: 8-Hour Workshop

Work with a Rackspace data scientist to uncover the possibilities when leveraging cloud-native AI/ML platforms as it pertains to your business. Then take a technical deep dive into Microsoft Machine Learning products and the associated tools and services enabling AI/ML frameworks on Azure.

During this workshop, you can expect to:

• Hear how businesses in your segment are leveraging AI/ML today
• Collaborate around business drivers and desired outcomes
• Ideate your high-priority use cases
• Whiteboard requirements, outcomes and high-level architecture
• Analyze and visualize your ML models on cloud-native platforms
• Deploy ML models fast with existing sample data sets
• Identify problem formation ML method best practices
• Hands-on data engineering, model validation and testing with sample data set
• Review model updates and interpretation to reflect naturally occurring changes
• Deep dive into compute speed and power

The workshop is intended for business and technical decision-makers such as:

• Operations and product teams
• Digital transformation, technical sales and technical
• engineering leaders
• Engineering / IT leadership
• Software engineers
• DevOps and Data scientists

This workshop will also address typical business outcomes:

• Gain insights faster with automation using Azure MLOps continuous integration and delivery (CI/CD) pipelines.
• Automate document discovery with Azure Form Recognizer and Cognitive Services to extract, classify and store in structured formats.
• Gain valuable insights from your video and audio files by automatically extracting advanced metadata with Azure Video Indexer.
• Automatically classify and answer leveraging Azure chatbot solutions using natural language processing and Azure Cognitive Services.