Establish a foundation for managing AI implementations within the telecoms industry—the future for managing 5G networks, improving business agility and time-to-market using the Open Digital Architecture (ODA).
TM Forum’s AI and Automation – Deploying in ODA Overview course is an essential first step in establishing your understanding of how AI is changing the telecoms industry and how it relates to the ODA.
Course introduction
The course:
- takes you through the basic terminology and features of AI, including the key application areas within telecoms, aspects and challenges of managing an AI project at scale, and some associated tools and models defined by TM Forum’s ODA to help manage the road to successful AI rollouts.
- explains what AI is, and what it can do in various areas of a telecoms business and review the case studies, demonstrating the value that organizations have realized by using AI.
Level: Overview
Pre-requisites: None
Duration: Self-paced / 1 day
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Download the datasheet for this course.
What will you learn?
Upon completion of this course, you will be able to:
- Recall the difference between AI and automation and why service providers need to implement them
- Identify important areas which may affect the successful implementation of an AI strategy
- Define some of the terminology and how the various TM Forum projects help relate to implementing AI in a network
- Identify the key challenges and considerations for managing AI implementations at scale
- Discuss the key areas or topics related to implementing AI at scale in a telecoms network
Course objectives
Service Providers:
- Introduce aspects of AI and how they can be used to provide business benefits to the service provider.
- Provide the same base knowledge and language across your organization.
- Provide you with an understanding of how to roll out AI projects effectively and efficiently.
- Equip your project teams with a consistent approach to managing and developing AI in your business.
- Enable you to create a more focused and less ambiguous RFx.
- Manage AI projects effectively and use the same terminology as your suppliers and partners to solve common pain points.
- Help you start on the route to Career Certification for AI.
Suppliers:
- Allow consistency and clarity when understanding customer AI requirements.
- Equip you to be better prepared to respond to RFx.
- Help your sales and marketing teams speak the same language as your customers and present your products in the same terms.
- Give you an understanding of how your product can better fit your customers’ AI requirements.
- Help you start on the route to Career Certification for AI.
Course syllabus
- Module 1 Why AI and automation? And why now?
- Module 2 Aspects of AI governance
- Module 3 AIOps introduction
- Module 4 What is closed loop anomaly detection and resolution?
- Module 5 Review of data governance
- Module 6 Autonomous networks introduction
- Module 7 Summary and next steps
Who should attend?
This course is suitable for:
- Anyone involved in selecting, supporting or managing an AI Project
- Anyone tasked with ensuring AI projects within telecoms deliver value to the business
- Technical staff – as a foundation course before taking further TM Forum AI training
- Sales and marketing staff – to understand the benefits that AI can bring to your products and services
- Managers who want to understand AI principles to incorporate them into transformation projects
- Staff involved in procurement requests or responses – to learn and understand the benefits of applying AI principles to these documents
Certification
A course attendance certificate is issued on satisfactory completion of the course. There is a knowledge certification exam also associated with the course material. Passing this exam counts toward Skill certification with TM Forum. Find out more about certification tracks here.