Artificial Intelligence: Implication for Business Strategy

The course explores the transformative impact of artificial intelligence (AI) on business strategy. It examines how AI technologies are reshaping industries, disrupting traditional business models, and creating new opportunities for innovation and growth. Participants will gain a comprehensive understanding of AI concepts, applications, and ethical considerations, and learn how to develop effective business strategies to leverage AI for competitive advantage. 

What is AI and its implications for Business Strategy

Artificial Intelligence: Implications for Business Strategy explores the impact of AI on business strategies. It delves into: 

  1. How AI technologies such as machine learning, natural language processing, and automation are reshaping various aspects of business operations, including decision-making, customer service, marketing, and supply chain management.  
  2. It explores how organizations can leverage AI to gain competitive advantages, improve efficiency, and drive innovation.
  3. It also addresses the challenges and considerations associated with implementing AI initiatives, such as data privacy, ethics, and workforce implications.  

It provides insights and strategies for businesses to navigate the evolving landscape of AI and develop effective strategies to harness its potential for growth and success. 

Demand for AI and its Implications for Business Strategy

The demand for Artificial Intelligence: Implications for Business Strategy would likely be driven by growing interest in AI. As artificial intelligence continues to gain traction across industries, there is a growing interest in understanding its implications for business strategy. Executives, managers, and decision-makers are seeking insights into how AI can transform their organizations and drive competitive advantage. 

Many businesses recognize the potential of AI but may lack the expertise or understanding to effectively integrate it into their strategic plans. There is a demand for resources that provide practical guidance on how to leverage AI technologies to achieve business goals and navigate potential challenges. 

Course Details

Course content

  • Introduction to Artificial Intelligence  
    Overview of AI: Definitions, history, and key concepts.
    Types of AI: Narrow vs. general AI, supervised vs. unsupervised learning, etc.  
    Machine Learning Basics: Algorithms, training data, and model evaluation.

  • AI Applications in Business
    Navigating the Tableau interface.
    Connecting to data sources.
    Basic concepts of data visualization in Tableau.

  • Case study with Machine Learning using Python – Demand Forecasting
    Real-world examples of successful AI adoption and business transformation.
    How a marketer forecasts the demand of a product in the market.
    Practical case study of a demand forecasting using Python.
    Which all are ML algorithms available for such a problem. Learn the theory and practical code to forecast the demand in the class.
    Business interpretation of the solution.

  • Real-world examples of successful AI adoption and business transformation. 
    How a banker identifies a potential fraud in the banking system. 
    Practical case study of fraud identification using Python. 
    Learn one of the widely used ML algorithm fraud identification with theory and practical using Python coding.  
    Business interpretation of the solution.

  • Developing an AI Strategy for Employee Churn 
    How does a HR manager use ML to predict employee churn.
    Real word case study using Python coding and automating the same.
    Business interpretation of the result.
    Accuracy check of the model. 

  • Future Trends and Emerging Technologies  
    Future scope – how we can enhance the performance of an AI algorithm. What can we learn next to improve model accuracy. 
    How can we use ML in cloud platform. 

Pre-requisites
Instructors

  • Our Trainers have years of real-time experience in Artificial Intelligence and are subject matter experts in using AI business strategy. They share their work experience in various domains to help students gain perspective on how AI works in the industry. 

Certificate

  • After the completion of the course and the exam, you will be awarded with the course completion certificate. 

Duration

  • 16 hours

Enroll Now

RESOURCES

Download:

Download python from: http://www.python.org/downloads

Related Courses