Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.

Name: Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.
Rating: 3.9 (246 reviews)
Author: Shripad Ramakant Vaidya

Case studies from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Factory warehouse etc.

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Shripad Ramakant Vaidya

category icon Development,Artificial Intelligence,Data Science

Lectures -32

Duration -1.5 hours

3.9 ★★★ ★ ★

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Course Description

In the contemporary period of gigantic volumes and multi-regional global business internet reach, the new innovative technologies such as Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) have a significant importance in the global business.

This is a basic awareness level course with case studies and academic view from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse etc

Industry AI, ML and DL technologies have benefited immensely as these tech-themes have generated superlative benefits such as

Cost Reduction
Revenue Growth
Brand Proliferation
Phenomenal Customer experience
Generating Complex Business solutions with speed and accuracy

Goals

What will you learn in this course:

Basic understanding of AI, ML, DL
Preconditions of using AI, ML, DL
Which industry life cycle it covers?
Industry benefits of using AI, ML, DL case study includes companies such as Amazon, GM, Coca-Cola, Pepsi, BBVA Bank, Covid19 Vaccine by all pharma companies
Industry case studies from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse etc
Academic view of AI, ML and DL from technology perspective including Front-end View with AI background, Various Task Executed by AI and Few illustrative Tech Terms used in AI concept including NLP, Neural Network, Supervisory Learnings etc.

Prerequisites

What are the prerequisites for this course?

No such perquisite

Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Pre-read
2 Lectures

Intro video 01:04 01:04
Browse for a minute before you start this course 00:55 00:55

Course introduction including what is AI ML DL
3 Lectures

PRECONDITIONS OF USING AND LIFE CYCLE WHERE ITS USED
2 Lectures

BANKING INDUSTRY EXAMPLE TO UNDERSTAND DIFFERENCE BETWEEN AI, ML, & DL
3 Lectures

BENEFIT OF USING AI ML IN INDUSTRY
7 Lectures

INDUSTRY CASE STUDY LEARNING - EXTERNAL VIEW
12 Lectures

Basic Academic view of AI, ML and DL (from tech perspective)
3 Lectures

Instructor Details

Shripad Ramakant Vaidya

Shripad Vaidya is a ex-consulting Director with Oracle corporation, providing solutions to banks and financial Institutions, as a part of the Banking Division. He has worked for more than 25 years in the field of Banking. He is an expert of Digital Banking domain and Digital transformation for last 20+ years. Shripad Vaidya is considered as an authority in the Digital transformation as he has defined business and digital strategies for various corporates across the world.

Shripad has Published a book available across 13 countries of the globe and has been classified as bestseller at Amazon at various geographies. Name of the book is - "A quick view of Global Digital Banking in Just 30 minutes"

Previously, Shripad Vaidya was a "Judging Panelist" for Best Internet Banking contest held by Global Finance Magazine, NY, USA for 5 years between 2002 to 2007. More than 200+ banks across 100 countries use to participate in this contest.

Shripad's articles on Digital Banking have been published in prestigious magazines such as American bankers (USA), Asian Banking and Finance Magazine (Singapore).

His research paper has been published in "International Review of Business Research Papers" on a topic of “Emerging Trends on Functional Utilization of Mobile Banking in Developed Markets in Next 3-4 Years”.

He is a visiting faculty to management colleges esp on a topic of digital banking. He has consulted various Banks across the world across USA, UK, Australia. Teaching is his passion and Banking is a journey of his life.

Shripad Vaidya has CMADBI© Model in Banking which is a Digital Banking Maturity Model or an Assessment model framework for determining the maturity level of the Digital Banking Innovation initiative by banks and financial institutions.

What is CMADBI© - International Digital Banking Assessment Standard Framework model called CMADBI© standard for assessing the Maturity levels of the Digital Banking Innovation was created by Shripad Vaidya and has been published in the "Journal of Digital Banking" of Henry Stewart Publication of UK where Shripad advocated a new assessment methodology for assessing the maturity of the Digital Banking Innovation for banks across the globe, in other words, is it Digital Banking Maturity Model. This CMADBI© is one of the unique assessment models, which did not exist before in the Banking and financial Industry. This title of this article is "Defining the digital banking innovation maturity model: A comprehensive maturity assessment for the digital banking innovation framework" in the year 2022-23, Volume 7 Number 1 of Journal of Digital Banking at the page no 46–61.

About the education: - Shripad Vaidya is a Fellow Chartered Accountant from ICAI and a Master of Commerce.

#CMADBI #CMADBI© #DigitalBankingMaturityModel