AI Applications for Growth
offered by Northwestern University

Private University
240 acre campus
Estd. 1851

AI Applications for Growth
at
Northwestern University
Overview

Learn about in-depth AI applications in three key industries: autonomous vehicles, financial services, and healthcare/life sciences

Duration	2 months
Start from	Start Now
Total fee	₹2.38 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

AI Applications for Growth
at
Northwestern University
Highlights

Earn a certificate of completion from Northwestern University
Learn from expert faculty

AI Applications for Growth
at
Northwestern University
Course details

Skills you will learn

Open source Human resource management Financial Management Sales Operations Cloud Computing Operations management Risk Management Routing Big Data

Who should do this course?

For C-level executives, division presidents, and vice presidents
For Senior managers and executives
For Functional leaders
For Mid-career professionals looking to stay current with the AI revolution
For Investors in venture capital, private equity, or hedge funds

What are the course deliverables?

Understand how AI is being utilized to manage customer experiences, operations, and business support functions
Apply the AI concepts and frameworks to develop an AI strategy initiative for your company

More about this course

Artificial Intelligence (AI) has moved into the mainstream of business, driven by advances in cloud computing, big data, open source software, and improved algorithms.
As AI technologies impact how we work, live, and manage businesses, organizational leaders, innovators, and investors are looking to harness the power of AI to create customer value and a competitive advantage
This program will stretch your thinking and broaden your perspectives with a practical, behind-the-scenes look at how established companies - as well as start-ups - are putting AI to work to disrupt industries and gain a competitive edge

AI Applications for Growth
at
Northwestern University
Curriculum

Module 1: The AI Revolution: Trends, Tools, and Applications

Learn why AI is at an inflection point

Understand the fundamentals of AI, Machine Learning, and Deep Learning, and the key players in the AI ecosystem

Explore the process for framing an AI initiative with the AI Canvas and the 7-Step process for framing an AI initiative

Module 2: AI and Customer Experience Management

Understand the Customer Experience DNA (CxDNA) framework to identify use cases for AI across the customer journey

Learn how AI is being used to create demand, to enable sales, and to drive customer service

Analyze customer segments, conversion rate optimization and customer churn using the KNIME analytics platform

Module 3: AI and Operations Management

Understand how AI can be used to optimize your assets and operating processes to increase agility, reduce operating costs, enhance quality and improve safety

Learn about the use cases and Jobs to be Done for AI across 5 stages in the Operations Ecosystem: Sourcing, Making, Storing, Routing, and Delivering products and services

Module 4: AI and Business Support Functions

Learn how AI is being used to transform key business support functions: Human Resource Management, Financial Management, IT Systems Management and Risk Management

Study a broad range of use cases including AI-driven candidate screening, AI-driven collections management, AI-driven code development and AI for fraud prevention

Build your own AI bot to process purchase orders

Module 5: AI Applications in Select Industries

Understand the leading applications of AI in the financial services, insurance and healthcare sectors

Learn from a deep case study on financial crime detection using Deep Learning at a major bank

See how various players in the healthcare ecosystem are using AI to improve patient outcomes, reduce healthcare costs, accelerate clinical development and fight healthcare claims fraud

Module 6: AI Applications in Autonomous Vehicles and Transportation

Learn about the evolution of Autonomous Vehicles and the Levels of Autonomy

Understand the "AV Efficient Frontier" framework to define the appropriate level of autonomy for a specific use case

Learn about the use cases of AI for the autonomous transportation of people and cargo by land, sea and air

Become aware of the ethical and regulatory challenges in commercializing Autonomous Vehicles

Module 7: Putting AI to Work in Your Organization -Strategy and Platforms

Synthesize your learning to create an AI strategy for your organization

Understand where to focus your AI use cases by applying the AI Radar to your company

Structure selected use cases with the AI Canvas

Define your AI strategy roadmap using the AI Journey capability maturity model

Module 8: Putting AI to Work in Your Organization - People, Organization and Society

Learn to avoid the most common pitfalls by studying six pathologies of failed AI initiatives

Explore best practices on how to structure AI teams, manage roles and responsibilities, and govern AI projects to drive responsible and ethical outcomes

Apply these learnings to evolve your AI initiatives

AI Applications for Growth
at
Northwestern University
Faculty details

Mohanbir Sawhney, Academic Director

Prof. Sawhney has written seven management books as well as dozens of influential articles in leading academic journals and managerial publications. His most recent book, The Sentient Enterprise: The Evolution of Business Decision Making, was published in October 2017 and was on the Wall Street Journal bestseller list.

Varun Poddar

Varun Poddar, Vice President, Digital Transformation and Product Innovation, Winsight, LLC