1. Machine Learning Session
11/27/ :05 AM
Machine Learning Session
CCG Analytics Solutions & Services
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Machine Learning Session
11/27/ :05 AM
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.
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

3. Logistics: 1 Day Session
11/27/ :05 AM
Logistics: 1 Day Session
Location
Customer office or CCG Office
Requirements
Whiteboard
Conference Room
Wifi
Conferencing Capabilities
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4. Session Attendees Customer Consultants
11/27/ :05 AM
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
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

5. Session Outputs Deliverables
11/27/ :05 AM
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.
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6. Sample Agenda Time Topic Description 11/27/2018 12:05 AM 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.
9:45-10:45
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
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.
2:30-2:45
Break
2:45-4:30
Solution Design (cont.)
(cont.)
4:30
Wrap Up and Next Steps
Document plan for acting on highest priority use case.
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. Want More than Machine Learning?
11/27/ :05 AM
Want More than Machine Learning?
Modern Architecture & Migration
Application Infrastructure
Machine Learning / AI
Governed Self-Service
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

8. Next Steps: Establish Timeline Coordinate resources
11/27/ :05 AM
Next Steps:
Establish Timeline
Coordinate resources
Schedule pre-call to finalize agenda
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

9. 11/27/ :05 AM
Learn More
CCG offers analytics solutions and services to enable businesses to transform in this digital era through the strategic use of analytics and data assets. CCG is a Microsoft Gold Partner, certified to implement and procure all Microsoft Data, Analytics and Cloud Platform Applications.
Learn more by visiting
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.