Reply Webinar Online - Mastering AWS - AI as a Service

1. AI AS A SERVICE:
MASTERING AMAZON
WEB SERVICES (AWS)
Emiliano Pecis, Andrea Mercanti, Gabriele Stella | Storm Reply

2. MASTERING AWS SERIES
AGENDA
AWS AI as a Service
AWS IoT Foundations
September 26th
AWS Database-as-a-service
September 28th
AWS IoT Advanced
October 5th
Bootcamp "Mastering AWS IoT»
October 27th in Rome Registration opens on Oct 2nd

3. WEBINAR AGENDA
AI AS A SERVICE
1 Storm Reply
2 What is AWS?
3 Artificial Intelligence on AWS
4 Amazon Polly Q&A
5 Amazon Rekognition Q&A
6 Amazon Machine Learning Q&A
7 Amazon Lex Q&A
8 Want more?

4. AWS GIVES YOU SUPERPOWERS

5. STORM REPLY
THE REPLY’S COMPANY FOCUSED ON AWS
70 Experts
CloudArchitects, DevOps, Microservices Architects
50 Top Brand Customers
Enel, Vodafone, Ferrero, Volkswagen, ePrimo, Grohe, etc
AWS Premier Consulting Partner
The only Italian company to have the highest level of
certification

6. WHAT IS AWS?
AMAZON WEB SERVICES

7. The future is really simple with Amazon
ARTIFICIAL
INTELLIGENCE
ON AWS

8. ARTIFICIAL INTELLIGENCE ON AWS
LEARN, SEE, SPEAK, WRITE
MACHINE
LEARNING
REKOGNITION POLLY LEX

9. AMAZON POLLY
TEXT TO SPEECH POWERED BY DEEP LEARNING
20+ LANGUAGES
50 DIFFERENT VOICES
SHE IMPROVES DAY AFTER DAY!

10. AMAZON POLLY
Q&A

11. AMAZON REKOGNITION
DEEP LEARNING-BASED IMAGE RECOGNITION SERVICE.
SEARCH, VERIFY, TAG AND ORGANIZE MILLIONS OF IMAGES
OBJECT AND SCENE
DETECTION
FACIAL
ANALYSIS
FACE
COMPARISON
FACIAL
RECOGNITION

12. AMAZON REKOGNITION
OBJECT AND SCENE DETECTION

13. AMAZON REKOGNITION
FACE DETECTION AND ANALYSIS

14. AMAZON REKOGNITION
FACE COMPARISON
SIMILARITY:
98.0%

15. FACE RECOGNITION PLATFORM
ARCHITECTURAL OVERVIEW

16. AMAZON REKOGNITION
Q&A

17. AMAZON MACHINE LEARNING (ML)
CREATING MACHINE LEARNING (ML) MODELS WITHOUT HAVING TO
LEARN COMPLEX ML ALGORITHMS AND TECHNOLOGY.
Will the customer buy this Product?
Is this email spam?
What will the temperature be tomorrow?
Is this book a romance, thriller or adventure story?

18. AMAZON MACHINE LEARNING (ML)
MACHINE LEARNING PROBLEM TYPES
BINARY
CLASSIFICATION
MULTICLASS
CLASSIFICATION
REGRESSION
28

19. AMAZON MACHINE LEARNING (ML)
STEPS TO SOLVE A ML PROBLEM
• BASED ON THE SAME HIGHLY SCALABLE
ML TECHNOLOGY USED FOR YEARS BY
AMAZON’S INTERNAL DATA SCIENTIST
• WIZARDS THAT GUIDE YOU THROUGH
THE PROCESS OF CREATING MACHINE
LEARNING (ML) MODELS
• HIGHLY SCALABLE: CAN GENERATE
BILLIONS OF PREDICTIONS DAILY, BOTH
IN BATCH OR IN REAL-TIME (100MS)

20. AMAZON MACHINE LEARNING (ML)
STEPS TO SOLVE A ML PROBLEM
STEP 1: PREPARE YOUR DATA AND LOADING THE DATASET
STEP 2: SPLITTING DATA INTO TRAINING AND TESTING SUBSETS
STEP 3: CREATING ML MODEL USING TRAINING SET
STEP 4: TESTING ML MODEL AGAINST THE TESTING SET
STEP 5: EVALUATING MODEL PERFORMANCE
STEP 6: USE THE ML MODEL TO GENERATE PREDICTIONS
AWS
TASKS

21. AMAZON MACHINE LEARNING (ML)
EVALUATING MODEL PERFORMANCES

22. AMAZON MACHINE LEARNING (ML)
Q&A

23. AMAZON LEX
AUTOMATIC SPEECH RECOGNITION (ASR) AND NATURAL LANGUAGE
UNDERSTANDING (NLU)
The chatbot can understand user requests. It can
Reply with answers, perform actions, ask for more
Inputs, or respond with error-handling prompts
The chatbot fulfills user requests by triggering
AWS Lambda. Lambda retrieves the requested
Information or performs other types of actions

24. AMAZON LEX
AUTOMATIC SPEECH RECOGNITION (ASR) AND NATURAL LANGUAGE
UNDERSTANDING (NLU)
Intents
An intent performs an action in response to
natural language user input
Utterances
Spoken or typed phrases that invoke your intent
Slots
Slots are input data required to fulfill the intent
Fulfillment
Fulfillment machanism for the intent

25. AMAZON LEX
Q&A

26. WANT MORE?
FOR AI SUPER HEROES

27. AWS DEEP LEARNING AMI
DEVELOP SOPHISTICATED SYSTEMS WITH ANY FRAMEWORK

28. NEXT WEBINARS
UPCOMING EVENTS
AWS AI as a Service
AWS IoT Foundations
September 26th
AWS Database-as-a-service
September 28th
AWS IoT Advanced
October 5th
Bootcamp "Mastering AWS IoT»
October 27th in Rome Registration opens on Oct 2nd

29. THANK YOU
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