YouTube Link: https://youtu.be/Y46zXHvUB1s ** Machine Learning Masters Program: https://www.edureka.co/masters-progra... ** This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on. Following are the topics covered in this PPT: AI In Artificial Creativity AI In Social Media AI In Chatbots AI In Autonomous Vehicles AI In Space Exploration AI In Gaming AI In Banking & Finance AI In Agriculture AI In Healthcare AI In Marketing Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

2. AI IN ARTIFICIAL CREATIVITY

3. MuseNet, a deep neural network that can generate 4-
minute musical compositions with 10 different instruments.

4. Wordsmith is an AI-powered tool that produces written
analytics by transforming the given data.

5. AI IN SOCIAL MEDIA

6. Facebook uses Machine Learning & Deep Learning to detect
facial features and tag your friends

7. Twitter’s is using AI to identify hate speech and terroristic
language in tweets.
The company discovered and banned 300,000 terrorist-linked accounts,
95% of which were found by non-human, artificially intelligent machines.

8. AI IN CHATBOTS

9. The Amazon Echo is a device that uses speech
recognition and NLP to perform an ever-growing range
of tasks on command.

10. Google Assistant is designed to have conversations with you in
order to complete tasks. It uses AI to process natural language and
perform tasks like book appointments and make calls.

11. AI IN AUTONOMOUS
VEHICLES

12. Waymo’s AI software crunches data from the vehicles’ lidar to produce
control signals that operate the driverless vehicle.

13. “Tesla will have fully self-driving cars ready by the end
of the year and a "robo taxi" version – one that can
ferry passengers without anyone behind the wheel –
ready for the streets next year”.

14. AI IN SPACE EXPLORATION

15. Astronomers used AI to sift through years of data obtained
by the Kepler telescope to identify a distant eight-planet
solar system.
SPACE
EXPLORATION

16. The known AI, AEGIS is on the red planet onboard NASA’s current
rovers. It is developed to handle autonomous targeting of
cameras and choose what to investigate.

17. AI IN GAMING

18. AlphaGo is the very first AI program that was able to beat a
professional human player, 2-dan player Fan Hui in October
2015, on a full-sized board with no handicaps.

19. F.E.A.R. What sets F.E.A.R. apart is the opponent AI which is
extremely good and acts on even minute detail.

20. AI IN BANKING & FINANCE

21. Nomura Securities is using Artificial Intelligence to to analyze
the insights of experienced stock traders.

22. Eva has addressed over 3 million customer queries,
interacted with over half a million unique users, and held
over a million conversations.

23. AI IN AGRICULTURE

24. Blue River Technology developed a robot called See & Spray
which uses computer vision technologies to monitor and
precisely spray weedicide on cotton plants.

25. Plantix uses image recognition to identify defects and
nutrient deficiencies in soil through images.

26. AI IN HEALTHCARE

27. Healthcare organizations use IBM AI (Watson) technology
for medical diagnosis.

28. DeepMind has successfully developed a system that can
analyse retinal scans and spot symptoms of sight-
threatening eye diseases.

29. AI IN MARKETING

30. Amazon
Recommendation
• 35% of Amazon’s revenue is generated by its recommendation
engine.
• Amazon makes use of AI & Machine Learning to recommend
products to their customers

31. Amazon
Recommendation

32. NETFLIX RECOMMENDATION SYSTEM
Ranking
Rows
Over 75% of what you watch is recommended by Netflix
Recommendations are made by machine learning

33. DEMOYouTube Video Link in the Description

34. WebDriver vs. IDE vs. RC
➢ Data Warehouse is like a relational database designed for analytical needs.
➢ It functions on the basis of OLAP (Online Analytical Processing).
➢ It is a central location where consolidated data from multiple locations (databases) are stored.