AI For Decision Making: Business Strategies And Applications

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Offered bySimplilearn
Private Institute
Estd. 2010

AI For Decision Making: Business Strategies And Applications
at
Simplilearn
Overview

Learn how AI can be applied across business functions such as marketing, finance, and HR and gain the competitive edge in emerging business technologies

Duration	3 months
Total fee	₹1.28 Lakh
Mode of learning	Online
Credential	Certificate

AI For Decision Making: Business Strategies And Applications
at
Simplilearn
Highlights

Gain a certificate from Wharton Online, the Wharton School's Digital Learning Platform
Live online masterclasses delivered by distinguished Wharton faculty
Course content, co-created by eight of the top Wharton professors
Pegdagogy comprises of Self-paced videos, Assignments, Discussions & Quizzes
Gain expertise on Big Data, Data Mining, Predictive Analytics, Supervised & Unsupervised Learning skills

AI For Decision Making: Business Strategies And Applications
at
Simplilearn
Course details

Who should do this course?

For professionals who want to understand how they can make their organizations AI-ready
For business leaders and managers who are responsible for making strategic decisions around AI and other associated technologies
For professionals who want to formulate and evaluate proposals involving machine learning and artificial intelligence technologies and their impact on the business
For aspiring managers, current managers, or senior executives looking to effectively analyze, articulate, and apply key AI management and leadership insights in their work
For Managers and leaders who seek to build their own capabilities in strategy, leadership, and innovation, while developing personalized and actionable plans

What are the course deliverables?

Understand deep learning and how to measure and review errors in your algorithms
Learn different strategies to recognize biases that exist within data
Identify how you can incorporate AI to streamline all HR functions
Understand how to work with data and take advantage of the power of machine learning
Learn how to use big data to not only maintain customer privacy
Learn how to better navigate the risks of AI
Learn how to construct a responsible AI governance strategy
Learn methods to utilize supervised and unsupervised machine learning to enhance the efficacy of fraud-detection methods

More about this course

The program delivers a foundational understanding of today's top technologies, including big data, AI, and machine learning, and how you can use them to support your organization's strategy
This program provides participants with the fundamental skills of big data, AI, and machine learning and how to apply them across the 3 key business functions: marketing, finance, and people management
This AI program also covers the risks and ethics of using AI and how you can design governance frameworks for an effective AI implementation
This Artificial Intelligence program in collaboration with Wharton Online is designed to offer professionals from diverse backgrounds comprehensive training in the most in-demand skills and technologies needed to succeed as an AI business leader

AI For Decision Making: Business Strategies And Applications
at
Simplilearn
Curriculum

Foundations of Big Data, AI and Machine Learning

Introduction to Artificial Intelligence

Big Data Overview and Analysis

Data Management Infrastructure and Tools

Machine Learning Overview

Reinforcement Learning

Machine Learning Methods and Techniques

Selecting Machine Learning Models

Deep Learning

Applications of Machine Learning

Natural Language Processing

Teachable Machine and AutoML

Machine Learning Operations

Industry Use Cases

AI for the Marketing World

Introduction to AI in Marketing

AI and the Customer Journey

AI and Personalization

Recommendation Systems

Impact of AI on Markets

Addressing Marketing Challenges

Industry Use Cases

AI for the Finance Domain

Introduction to AI in Finance

Financial Risk Management with AI

Fraud Detection with AI

Credit Risk Management with AI

Investment Management with AI

Additional Applications in Finance

Industry Use Cases

AI for Human Resource Management

Introduction

The Promise and Potential of AI in

New Solutions in HR

Challenges with Applying AI to HR

Emerging Tech Solutions to AI-HR

Challenges

Impact of AI on Jobs

AI Driven Transformation: Economics & Governance

Introduction

Economic Implications of AI

Adoption

Developing a Portfolio of AI Projects

Driving Transformation and

Innovation using AI

AI and Change Management in

Organizations

Risks with AI

AI Governance

AI Ethics and Principles

Explainable AI

AI For Decision Making: Business Strategies And Applications
at
Simplilearn
Faculty details

Michael R. Robert, Professor of Finance

Michael R. Roberts is the William H. Lawrence Professor of Finance at the Wharton School of the University of Pennsylvania. Professor Roberts earned his BA in Economics from the University of California at San Diego, and Ph.D. in Economics from the University of California at Berkeley.

Peter Cappelli, Professor of Management

Peter Cappelli is the George W. Taylor Professor of Management at The Wharton School and Director of Wharton’s Center for Human Resources. He is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA, served as Senior Advisor to the Kingdom of Bahrain.

Kartik Hosanagar

Kartik Hosanagar is a professor at the Wharton School of the University of Pennsylvania. Professor Hosanagar's research work focuses on the digital economy, in particular internet media, internet marketing, and e-commerce.

Raghuram Iyengar, Professor of Marketing

Raghuram Iyengar’s research investigates how consumers respond to nonlinear pricing schemes. Professor Iyengar’s teaching interests are in the area of Marketing Analytics. He earned his Ph.D. from Columbia University and his undergraduate degree from IIT Kanpur, India.