The document discusses applications of machine learning across various domains such as smartphones, computers, security, transportation, web services, sales and marketing. It describes how machine learning is used for tasks like voice assistance, computer vision, biometric authentication, video surveillance, transportation route optimization, email filtering, search engines, recommendation engines, personalized marketing, and customer support chatbots. The conclusion states that AI and machine learning are central to building computational models of intelligence and that the global machine learning market is predicted to significantly grow in value between 2019 to 2027.
Artificial intelligence and Machine learning Applications
1. Artificial intelligence
And Machine learning Applications
Himanshu Moliya
Department of research and development
Planetoid Inc.
January, 2022
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
2. Summary
1 Overview
2 Machine Learning
3 ML in Smartphones and computers
4 ML in Security
5 ML in Transportation
6 ML in Web services
7 ML in Sales and Marketing
8 Conclusion
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
4. Overview
What is Artificial intelligence (AI)
Artificial intelligence is intelligence demonstrated by machines, as opposed
to natural intelligence displayed by humans.
Examples
Using computers to solve problems
Make automated decisions
For tasks that, when done by humans, Typically require intelligence
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
5. Overview
Major Al Approaches
Two Major Al Techniques
Logic and Rules-Based Approach
Machine Learning (Pattern-Based Approach)
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
6. Overview
Logic and Rules-Based Approach
Logic and Rules-Based Approach
Representing processes or systems using logical rules
Top-down rules are created for computer
Rules can be used to automate processes
Examples
Expert Systems
Represented as logical computer rules
Software computes tax liability
Program with nested If and Else conditions
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
8. Machine Learning
Machine Learning (Pattern based)
Machine Learning (Pattern based)
Algorithms find patterns in data and infer rules on their own
”Learn” from data and improve over time
These patterns can be used for automation or prediction
ML is the dominant mode of Al today
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
9. ML in Smartphones and computers
ML in Smartphones and computers
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
10. ML in Smartphones and computers
ML in Smartphones and computers
Voice Assistance (concept of speech recognition and NLP)
Apple’s Siri
Google Assistant
Google Duplex
Microsoft’s Cortona
Samsung’s Bixby
Figure: Voice assistants
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
11. ML in Smartphones and computers
ML in Smartphones and computers
Computer Vision Applications (Smartphone Cameras))
Object Detection (locate many objects in an image)
Image enhancement (Filling Missing Parts of image)
OCR (Extract text from image)
FASTag and License plate recognition
Signature verification in banking
Figure: Computer Vision
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
12. ML in Security
ML in Security
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
13. ML in Security
ML in Bio-metric Authentication
Face Recognition
Facebook uses Face Recognition
to identify people in the image
Government uses it to identify
Criminals
Airports uses it to identify crew
members and passengers)
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
14. ML in Security
ML in Security
Video Surveillance
Video surveillance is used globally to detect intruders, identify threats
of violence, catching criminals etc...
It’s include person tracking using face data, from bank transactions
activity, etc ...
Figure: ML in Security
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
15. ML in Transportation
ML in Transportation
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
16. ML in Transportation
ML in Transportation
Rise of ride hailing apps like OLA, Uber, Lyft, etc...
Dynamic Pricing in Travel
Change travel price depends upon
factors like:
Location
What time of the day you are
traveling
Whether Conditions)
Overall Customer Demand,
Festivals
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
17. ML in Transportation
ML in Transportation
Maps Services
Transportation and Commuting (To identify most optimal route from
source to destination)
E.g. Google maps, HERE, etc...
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
18. ML in Web services
ML in Web services
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
19. ML in Web services
ML in Web services
Email Filtering
Use ML to figure out whether an email is spam or not
Remove spam emails from your inbox
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
20. ML in Web services
ML in Web services
Search Engine
Translator
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
21. ML in Sales and Marketing
ML in Sales and Marketing
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
22. ML in Sales and Marketing
ML in Sales and Marketing
Recommendation Engines
E-commerce sites like Amazon and Flip kart
Book sites like Goodreads
Movie services like IMDb and Netflix
Hospitality sites like MakeMyTrip, Booking.com, etc.
Retail services like Stitch Fix
Food aggregates like Zomato and Uber Eats
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
23. ML in Sales and Marketing
ML in Sales and Marketing
Personalized Marketing (Digital Revolution)
Earlier : Get calls from credit cards and loans companies offering
services for free without understanding what we want
Now : Calls and emails are highly personalized based on our interests.
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
24. ML in Sales and Marketing
ML in Sales and Marketing
Customer Support and Chat bots
Use Natural language processing (NLP) to solve customer queries
No agent required to solve a) text based Queries b) Voice Based
Queries
Use Sentiment Analysis to get feedback and improve systems
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022
26. Conclusion
Conclusion
AI is at the centre of a new enterprise to build computational models
of intelligence.
The global machine learning market is predicted to grow from $8.43
billion in 2019 to $117.19 billion by 2027. Despite being a trending
topic, the term ’machine learning’ is often used interchangeably with
the concept of artificial intelligence.
Himanshu Moliya (Planetoid) Artificial intelligence January, 2022