AI Made Simple. Christian Petters, Solutions Architect, Amazon Web Services

Transcription

1 AI Made Simple Christian Petters, Solutions Architect, Amazon Web Services 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

2 Amazon AI: New Deep Learning Services Polly Life-like Speech Rekognition Image Analysis Lex Conversational Engine

3 Amazon AI: New Deep Learning Services Polly Life-like Speech

4 Polly: Life-like Speech Service Converts text to life-like speech Fully managed 48 voices 24 languages Low latency, real time

5 Demo 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

6 Text-to-Speech Pipeline Text Sie hat 20 in ihrer Tasche. Text normalization Sie hat zwanzig Euro in ihrer Tasche Grapheme-to-phoneme conversion ˈ [ziː ˈ hat ˈ ˈ ʦvanʦɪç ˈ ˈɔɪ ʀo ˈ ɪn ˈ ˈiːʀɐ ˈ ˈ taʃə ˈ Waveform generation Speech

7 Speech Marks Synchronize voice with visuals

8

9 Amazon AI: New Deep Learning Services Rekognition Image Analysis

10 Demo , Amazon Web Services, Inc. or its Affiliates. All rights reserved.

11 Amazon AI: New Deep Learning Services Lex Conversational Engine

12 Advent of Conversational Interactions 1 st Gen: Punch Cards & Memory Registers 2 nd Gen: Pointers & Sliders 3 nd Gen: Conversational Interfaces

13 Amazon Lex - Features Text and speech language understanding: powered by the same technology as Alexa Deployment to chat services Designed for builders: efficient and intuitive tools to build conversations; scales Versioning and alias support Enterprise SaaS connectors: connect to enterprise systems

14 Demo , Amazon Web Services, Inc. or its Affiliates. All rights reserved.

15 Amazon Lex - Technology Multi-Platform Clients: Mobile, IoT, Web, Chat AWS Services Cognito CloudTrail CloudWatch SDK End-Users Input: Speech or Text Output: Speech (via Polly TTS) or Text Authentication & Visibility Amazon Lex Action AWS Lambda Console Intents, Slots, Prompts, Utterances Speech API Language API Fulfillment API Developers Automatic Speech Recognition (ASR) Natural Language Understanding (NLU) Same technology that powers Alexa

16 Contact Flow Engine Customer Experience Example Incoming customer call CRM content Data Dip Hi Nikki Wolf, I see your flight was cancelled today. How can I help you? Can you please rebook me for the same flight tomorrow? Ok, you are now booked for a 9:00AM departure tomorrow out of San Francisco, arriving in Seattle at 11:45AM. Great Thank you!

17 Contact Flow Engine Customer Experience Example Incoming customer call CRM content Data Dip Hi Nikki Wolf, I see your flight was cancelled today. How can I help you? Can you please rebook me for the same flight tomorrow? Ok, you are now booked for a 9:00AM departure tomorrow out of San Francisco, arriving in Seattle at 11:45AM. Great Thank you! DYNAMIC Answer customer questions before they are even asked PERSONAL Contact flows adapt on a per customer basis NATURAL Amazon Lex (in preview) the same technology that powers Alexa

18 Amazon Lex Use Cases Informational Bots Chatbots for everyday consumer requests News updates Weather information Game scores. Application Bots Build powerful interfaces to mobile applications Book tickets Order food Manage bank accounts. Enterprise Productivity Bots Streamline enterprise work activities and improve efficiencies Check sales numbers Marketing performance Inventory status. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions Wearables Appliances Auto.

19 Amazon Machine Learning 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

20 Amazon Machine Learning service

21 Amazon Machine Learning service

22 Amazon Machine Learning service

23 Amazon Machine Learning service

24 Demo , Amazon Web Services, Inc. or its Affiliates. All rights reserved.

25 Questions?