Conversational AI Benefit Case
What you'll learn
- How to identify a target use case for conversational AI - including user persona, business capabilities, and benefit areas.
In this socially distanced environment, there is an increasing demand for taking your engagement with your customers and employees online. Conversational AI offers novel ways of providing you with productivity lift and automation in your online engagements. This course introduces business students and working professionals to Conversational AI. It uses a set of use cases to illustrate the meaning and value of Conversational AI in engagements with customers and employees in business and consumer use cases.
On behalf of the Applied AI Institute, we welcome you to the course Conversational AI Benefit Case. This is the first course in our Conversational AI Series. In future courses, we will cover design and development of Conversational AI solutions using open source and commercial tools as well as testing and deployment ideas on how to improve, operate and govern such solutions.
This course has been developed for working professionals. As you know, Conversational AI is a topic of interest among many professionals including those working for business organizations, public services, educational services, and non-profit organizations.
This course is divided into multiple sections.
Course Overview – provides an outline of the course
What is Conversational AI? – identifies characteristics of a good conversation and illustrates with an example
Conversational AI Example 1 – Sales Engagement– shows how conversational AI is used in a sales conversation with a shopper
Conversational AI Example 2 – Service Engagement– shows how conversational AI is used in troubleshooting and repair a defective equipment
Conversational AI Use Case Library – discusses many other examples of conversational AI
Summary and Other Courses – provides a summary of the course and outlines possible next steps for the students
We use quizzes to prepare the students
Who this course is for:
- Customer engagement professionals dealing with business automation and transformation
- Information technology management dealing with IT development projects
- Senior year undergraduate and graduate students in Business, Information Technology and Analytics
- Vendors, consultants and service provider involved with Automation
Neena Sathi is a principal at Applied AI Institute. She has 30+ years of experience envisioning, designing, developing and implementing AI solutions associated with enhancing customer experience, back office automation and risk and compliance for many Fortune 100 organizations. She has worked in senior technical positions at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena has three masters degrees including MBA from leading US universities. She is Master certified integration architect from IBM and Open Group as well as certified Project management professional (PMP) from Project management institute. She is also certified in many Cloud and Cognitive technologies. She has widely presented and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works and various academic journals.
Suvesh Balasubramanian has teamed up with Neena Sathi on this course. He has over 25 years of broad base industry, management consulting and advisory experience aligning enterprise strategy and desired outcomes with technology enabled business solutions. He has led and delivered several large digital transformation initiatives, including AI, Data Science and Analytics across a wide array of industries including Healthcare, Logistics, Hi-Tech, Financial Services and Retail