Machine Learning Session Description Identify those unique use

Machine Learning Session Description Identify those unique use cases in your business that are ripe for machine learning; use cases that will not only produce immediate value, but act as a springboard for applying advanced analytic techniques to improve your entire enterprise. Identify the objectives for machine learning in your business, explore the latest in ML / AI technology, pinpoint actionable use cases that will impact the business and develop a plan for taking action. During the envisioning session, they will see Microsoft solutions in action through powerful demos and scenarios customized to meet their needs.

Logistics: 1 Day Session Location Customer office or CCG Office Requirements Whiteboard Conference Room Wifi Conferencing Capabilities

Session Attendees Customer Analytics Manager / Lead, member of team responsible for executing future ML projects Analytics Stakeholder (if different), visionary enacting ML / innovation initiatives Business User, a process SME who can provide human intuition to scenarios (Optional) Data Manager, IT person who can speak to data availability Consultants Microsoft Technical Specialist Microsoft Solution Consultant CCG Data Scientist CCG Solution Consultant

Session Outputs Deliverables Documentation of all machine learning use cases discussed and recommended prioritization, including reasoning and values. Recommended plan for executing on highest value machine learning use case, including technology needs and human resource planning. Direct knowledge transfer and guidance on implementation techniques for the solution. (Optional) Architecture Design Document - High level architecture framework and conceptual design for solution that addresses business goals and technical requirements. (Optional) Summary of additional topics explored: Special areas of concern, such as security, compliance, and compatibility. Deployment scenarios that map to established deployment and practices and that cite specific examples where applicable. Familiarity with the Microsoft technologies proposed for the solution, in addition to any trade-offs among the differing technology options.

Sample Agenda Time Topic 8: 30 -9: 00 Arrival & Breakfast 9: 00 -9: 45 Introductions and Discovery We provide this time to begin a dialogue around desired direction with regards to key success factors for <customer> for today's session on machine learning. Technology Topic Present an overview of Machine Learning and demonstration of Microsoft Azure Machine Learning Studio relevant to <customer>. 10: 45 -12: 00 Use Case Ideation Identify opportunities for applying machine learning in <customer> business and assign value to each use case. 12: 00 - 1: 00 Lunch 1: 00 -2: 30 Solution Design 2: 30 -2: 45 Break 2: 45 -4: 30 Solution Design (cont. ) 4: 30 Wrap Up and Next Steps Document plan for acting on highest priority use case. 9: 45 -10: 45 Description In this session, we will take the inputs from the previous sessions and discuss solution design and architecture of the overall application of machine learning, exploring data availability, processes and overall business impact to prioritize analytics use cases.

Want More than Machine Learning? Modern Architecture & Migration Application Infrastructure Machine Learning / AI Governed Self-Service

Next Steps: Establish Timeline • Coordinate resources • Schedule pre-call to finalize agenda •

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