Rama Akkiraju, Distinguished Engineer, Master Inventor, IBM Watson User Technologies IBM Watson and Cloud Platform We have entered a new period of computing history — a cognitive era. For decades, science fiction visionaries have shared their renditions of intelligent machines and computers that could learn and function as humans. Intelligent machines have moved beyond the lore of science fiction; today, they are a reality thanks to breakthroughs in AI and machine learning. So how will this impact and change the apps that we build and how we leverage new and existing data? In this interactive session, we’ll explore those questions and: • Discuss where AI currently is and where the technology is going • Show how pioneering apps and developers around the world are already using it • Provide access to sample code and applications which you and your teams can use to understand and explore cognitive computing for yourself

1. Building applications using
Cognitive Services
Rama Akkiraju
IBM Distinguished Engineer

2. Please note IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice and
at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should
not be relied on in making a purchasing decision.
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The development, release, and timing of any future features or functionality described for our products remains at
our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled
environment. The actual throughput or performance that any user will experience will vary depending upon many
factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O
configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that
an individual user will achieve results similar to those stated here.
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3. < Click in screen to play video >
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4. A few snippets of AI’s Historic Timeline
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1950: Alan Turing’s Turing Test
1950: Issac Asimov’s ‘Three laws of
Robotics’
1951-52: Checker’s playing programs
(Univ. of Manchester, IBM)
1958: John McCarthy invents LISP
1959: John McCcrthy & Marvin Minsky
founded MIT AI lab.
1961: Robots in General Motors
automobile assembly line
1965: MIT builds ELIZA, first Dialog system
1975: Marvin Minsky published ‘Frames’ for
knowledge representation
1980s: Expert Systems
Mid 1980s: Neutral nets
1990s: TD-gammon, back-gammon program
by Gerry Tesauro, IBM.
1990s: Datamining, NLP, case-based
reasoning,
Source: Wikipedia

5. AI has come a long way!
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2015
2009
2011
1997
2011
1990s
2017
2010

6. What’s next for AI?
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7. New Computing Era
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Tabulating
Systems Era
Programmable
Systems Era
Cognitive
Systems Era
1900 1950 2011

8. Self-Learning at-scale
Reason with purpose
Interact with humans naturally
Cognitive Computing Systems

9. Cognitive Systems augmenting Human Intelligence
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Healthcare Legal case Research Social Media Listening for
Marketing and Personalization Face Recognition for Security
and Personalization
Speech Recognition for
Customer Care Emotion Recognition for
Personalization
Company Analysis for business
growth opportunity identification

10. Cognitive systems are not about mimicking humans.

11. Cognitive systems augment human abilities.

12. Cognitive systems don’t do your thinking for you.
They do your research for you so that you can think better.

13. Need Building Blocks to Build Cognitive Applications
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Text-to-Speech Natural Language Understanding
Conversation Tone Analysis Emotion Analysis
Discovery
Visual
Recognition
Personality
Insights
Natural
Language
Classifier
Language
Translation

14. Use Conversation
API to build
Conversational
bots
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https://conversation-demo.mybluemix.net/

15. Use Discovery
Service to add a
cognitive search
and content
analytics engine
to applications.
4/11/201715 https://discovery-news-demo.mybluemix.net/

16. Use Personality
Insights to engage
with individuals at
personalized level
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Watson-pi-demo.mybluemix.net
Source: https://www.army.mil/article/78562/Leaving_the_battlefield__Soldier_shares_story_of_PTSD

17. Emotional
Analysis helps
build empathetic
systems
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sentiment-and-emotion.mybluemix.net

18. Use Tone
Analyzer to
understand and
fine tune your
message
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tone-analyzer-demo.mybluemix.net

19. Cutting a Movie Trailer with Visual Recognition and Emotion Analysis
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20. Personalizing shopping Experience with Personality Insights
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21. Tone-aware
Expressions in
Conversations
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food-coach.
mybluemix.net

22. 4/11/2017Page 22

23. Bot Personas & Expressive Paraphrasing
23

24. The race for AI platforms is on!
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25. If you are a AI platform and services vendor,
you can’t win this race with algorithms alone!
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26. Data is the key differentiator!
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27. Developer tools to help assemble cognitive
applications is also very important!
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28. If you are a cognitive application developer,
you will most likely have to customize vendor
services to impart domain knowledge to
make the services relevant!
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29. 4/11/2017Devoxx 201729
Source: Guru Banavar (IBM)’s talk at Stamps school of art & Design

30. Next Gen Cognitive Applications with Immersive User Interfaces
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31. 4/11/2017Devoxx 201731
What do you want to build today?
Tanmay Bakshi: a 13 yr old IBM
Watson Developer

32. Thank you
4/11/2017
Watson
Developer
Conference
201632
Wednesday: 11:20-12:20 Grand Ball Room 220C
Bits, Bytes and Brains - Where Watson Is and Where its going?
LL 20 B: Thursday from 11:00 AM til 11:50 AM
Think. Think again. Watson and the Cognitive Developer

33. © 2017 IBM Corporation
Mission Badge #6:
SMS Text
Your mission should you
choose to accept it….
Join us at the IBM Booth for
hands-on labs, demos, games
and talk to our developers.
Text Cognitive to 41411
to discover, was it Science
Fact or Science Fiction?
Enter the raffle by
completing missions
for a chance to win
• a Drone
• TJBot Kit
• VR glasses

34. Notices and
disclaimers
continued
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