Machine Learning Session

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Presentation transcript:

Machine Learning Session 11/27/2018 12:05 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.

Machine Learning Session 11/27/2018 12:05 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.

Logistics: 1 Day Session 11/27/2018 12:05 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.

Session Attendees Customer Consultants 11/27/2018 12:05 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.

Session Outputs Deliverables 11/27/2018 12:05 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.

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.

Want More than Machine Learning? 11/27/2018 12:05 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.

Next Steps: Establish Timeline Coordinate resources 11/27/2018 12:05 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.

11/27/2018 12:05 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 www.ccganalytics.com/microsoft © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.