Today, Artificial Intelligence is a hot (but commonly misunderstood) topic. A beginner's introduction to what is and what is not AI. And how it is actually used in industry to build software.

1. ARTIFICIAL INTELLIGENCE
How it is used in industry

2. SPEAKER
Anurag Bhandari
• aka Ashcharyachakit — always surprised and
curious
• Technology Research Specialist at Accenture
Labs
• Works on AI, ML, IoT, and Accessibility.
• Co-authored the book “Artificial Intelligence for
.NET” (Apress, 2017)

3. DISCLAIMER
Opinions and views expressed are my own,
not those of my employer (Accenture).
This presentation does not endorse Accenture or its services/products in any way.

4. AI IN INDUSTRY
The General Perception
(including developers’)

5. AI IN INDUSTRY
The General Perception
(including developers’)
• Robots

6. AI IN INDUSTRY
The General Perception
(including developers’)
• Robots
• Siri

7. AI IN INDUSTRY
The General Perception
(including developers’)
• Robots
• Siri
• Home automation

9. AI IN INDUSTRY
Behind the Scenes

10. AI IN INDUSTRY
Behind the Scenes
• Face recognition in Facebook

11. AI IN INDUSTRY
Behind the Scenes
• Face recognition in Facebook
• Spam filters in Gmail

12. AI IN INDUSTRY
Behind the Scenes
• Face recognition in Facebook
• Spam filters in Gmail
• Next word suggestion

13. Can you think of more such small examples?

14. HUGE POTENTIAL IN SOFTWARE
AI can improve a software’s:
• usability
• user experience
• reliability

15. HUGE POTENTIAL IN SOFTWARE
Artificial Intelligence techniques:
• Natural Language Processing
(NLP)
• Natural Language Understanding
(NLU)
• Automatic Speech Recognition
(ASR)

16. HUGE POTENTIAL IN SOFTWARE
Artificial Intelligence techniques:
• Natural Language Processing
(NLP)
• Natural Language Understanding
(NLU)
• Automatic Speech Recognition
(ASR)
• Computer Vision (CV)

17. HUGE POTENTIAL IN SOFTWARE
Artificial Intelligence techniques:
• Natural Language Processing (NLP)
• Natural Language Understanding
(NLU)
• Automatic Speech Recognition
(ASR)
• Computer Vision (CV)

18. HUGE POTENTIAL IN SOFTWARE
Artificial Intelligence techniques:
• Natural Language Processing (NLP)
• Natural Language Understanding
(NLU)
• Automatic Speech Recognition
(ASR)
• Computer Vision (CV)

19. HUGE POTENTIAL IN SOFTWARE
Artificial Intelligence techniques:
• Natural Language Processing
(NLP)
• Natural Language Understanding
(NLU)
• Automatic Speech Recognition
(ASR)

20. AI IS THE NEW UI

21. CASE IN POINT:
HUMAN-LIKE CHATBOT

22. WEATHER BOT
Ingredients
• NLU (DialogFlow)
• Weather API (OpenWeatherMap)
• Translation API (Google Translate)

23. CASE IN POINT:
DRISHTI

24. DRISHTI - VISION FOR THE BLIND

25. COMPUTER VISION
TASKS
• Object recognition
• Scene description
• Face detection
• Face recognition
• Emotion analysis
• Feature detection

26. AI FRAMEWORKS
• NLP
• Stanford NLP
• Microsoft Cognitive Services
• NLU
• Microsoft LUIS
• Google Dialogflow (erst. API.ai)
• Amazon Lex
• ASR
• Sphinx
• Google Speech API
• CV
• OpenCV
• Microsoft Cognitive Services
• Google Cloud Vision

27. Will AI replace me?

28. Will AI replace me?
The short answer is NO

29. “Thank you.”