Driving Transformation in Industries with Artificial Intelligence (AI)

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This document discusses artificial intelligence (AI) and its impact across industries. It covers why AI is important, how it is affecting industry landscapes and shaping the global economy. It examines where we are today with AI and related technologies like the Internet of Things, big data, cloud computing and robotics. It also explores what AI is, the different elements and types of AI, and how machine learning and deep learning work. Finally, it discusses the impact of AI on various industries and some of the ethical challenges of AI.

Datos y análisis

1
AI : DRIVING THE TRANSFORMATIONS OF
INDUSTRIES

2
AI : Lets “Unwrap the Blackbox” ……
WHY AI : Why should
we talk about it
HOW : How did we
reach here and How
should we go from here
WHAT : What is that we
should know about AI

3
Why AI – What Industry leaders think …..

4
Why AI – What Industry leaders think …..

5
AI – HOW it is affecting the Industry Landscape

6
AI – HOW it will Shape the Global Economy
* Source : PWC

7
AI – WHERE are we Today ……
IOT / IIOT
Big Data
Cloud
Computing
Robotics
AI / ML / DL

8
AI – Data is New Oil ….
Data is the New Oil AI and Data Analytics are the Refineries
Data at its base is just as crude as oil .
Without the proper refinery tools, the oil
could hardly be used for anything, but
once it was refined, it was a premiere
source of energy around the entire world.
Data is similar in this way. It needs the
proper tools in order to refine and turn it
into something of value.

9
AI – How much Data is being generated …

11
AI – WHAT are the different elements of AI ….

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Digital advertising, or paid media, encompasses the strategic deployment of online advertisements to reach target audiences efficiently and effectively. This includes any digital platform that supports advertising to deliver unique messages for any objective. Understanding the mechanics of digital advertising platforms, along with insights into audience behaviors and preferences, allows marketers to optimize their ad spend and achieve significant engagement and conversion rates. This lecture is for Advanced Digital & Social Media Strategy (MGMTX 466.05) at UCLA Extension.

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This project aims to predict whether a loan application will be approved or denied based on various factors such as applicant's income, credit score, loan amount, etc. Using a dataset containing historical loan application data, we employed machine learning algorithms to build a predictive model. The model was trained on features such as applicant's income, credit history, loan amount, loan term, and others. After training the model, we evaluated its performance using metrics like accuracy, precision, recall, and F1 score. The insights from this project can help financial institutions streamline their loan approval process and make informed decisions. Visit for more information: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

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Boston Institute of Analytics

Driving Transformation in Industries with Artificial Intelligence (AI)

1. 1 AI : DRIVING THE TRANSFORMATIONS OF INDUSTRIES

2. 2 AI : Lets “Unwrap the Blackbox” …… WHY AI : Why should we talk about it HOW : How did we reach here and How should we go from here WHAT : What is that we should know about AI

3. 3 Why AI – What Industry leaders think …..

4. 4 Why AI – What Industry leaders think …..

5. 5 AI – HOW it is affecting the Industry Landscape

6. 6 AI – HOW it will Shape the Global Economy * Source : PWC

7. 7 AI – WHERE are we Today …… IOT / IIOT Big Data Cloud Computing Robotics AI / ML / DL

8. 8 AI – Data is New Oil …. Data is the New Oil AI and Data Analytics are the Refineries Data at its base is just as crude as oil . Without the proper refinery tools, the oil could hardly be used for anything, but once it was refined, it was a premiere source of energy around the entire world. Data is similar in this way. It needs the proper tools in order to refine and turn it into something of value.

9. 9 AI – How much Data is being generated …

10. 10 AI – WHAT is AI ?

11. 11 AI – WHAT are the different elements of AI ….

12. 12 AI – WHAT are the Types of AI ….

13. 13 ML – Broad Types of ML

14. 14 ML – Supervised Machine Learning

15. 15 ML – Unsupervised Machine Learning

16. 16 DL – Deep Learning

17. 17 AI Technologies : Few More Examples…

18. 18 Analytics Ascendancy Model

19. 19 Impact of AI on various Industries

20. 20 Impact of AI on various Industries