Artificial intelligence (AI) and cloud computing can be combined to provide intelligence capabilities in the cloud. AI involves activities like speech recognition, learning, and problem solving by learning from data. Machine learning algorithms are used for tasks like detecting spam emails and recommending apps. Cloud computing provides on-demand access to virtual computing resources like storage, networking, and software via models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). When combined, AI and cloud computing allow for remote access to intelligence through examples like IBM Watson's SaaS offering and the large AI framework TensorFlow.

1. AI in Cloud
By
Premkumar Chalmeti
Pranay Pujari
Dept. of Computer science & engineering

2. FIG1.1: Data to Intelligence
transformation
Introduction [1]
 Intelligence:
Ability to acquire & apply knowledge & skills.
 Human Intelligence:[HI]
Human learns from experience.
 Artificial Intelligence:[AI]
Also possible to learn from experience that is data.

3. AI [2]
 AI activities:
Speech recognition
Learning
Problem solving
knowledge

4. Speech recognition [3]
 Major activities of AI.
 May/May not be part of Natural Language processing.
 Popular examples,
 Google’s google now
 Apple’s siri
 Microsoft’s cortana

5. Machine learning [4][5]
 Learning + Problem solving.
 Algorithms :
 Linear regression
 Gradient descent
 Naive bayes algorithm
 Clustering algorithm

6. Where machine learning is used??? [6]
 Detecting spam emails.
 Recommending apps.
 Fraud detection in transactions.

7. NOW , lets take a tour of
Cloud Computing

8. What is cloud??? [7]
 It Signifies virtual remote servers which executes tasks given by user on
demand.
 The types of services offered are
 storage
 Resources
 Networking

9. What can do with cloud???
 Create new apps and services
 Store, back up and recover data
 Host websites and blogs
 Stream audio and video
 Deliver software on demand

10. Benefits [7]
 Self-service provisioning.
 Elasticity. (Scaling and descaling)
 Pay per use.

11. Virtualization?
 Key enabling technology in cloud computing
 Types of virtualization :
 Storage virtualization
 Server virtualization

12. Service delivery models [7]
 IaaS (Infrastructure as a Service)
 PaaS (Platform as a Service)
 SaaS (Software as a Service)

13. NOW, lets see what happens when they
are collaborated.
AI + Cloud

14. AI in Cloud
 Intelligence in cloud.
 Remote access.
 Examples
 IBM Watson comes with SaaS.
 TensorFlow one of largest framework.

15. References
[1] https://en.wikipedia.org/wiki/Artificial_intelligence
[2] https://www.techopedia.com/definition/190/artificial-intelligence-ai
[3] http://searchcrm.techtarget.com/definition/speech-recognition
[4] https://en.wikipedia.org/wiki/Outline_of_machine_learning
[5] https://youtu.be/WXHM_i-fgGo
[6] https://youtu.be/IpGxLWOIZy4
[7] https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/
http://csunplugged.org/artificial-intelligence/

16. Thank You !
+Premkumar Chalmeti
+Pranay Pujari