Introduction to Artificial Intelligence (AI)
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by David Pearson, Principal Technical Business Development Manager, AWS
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Introduction to Artificial Intelligence (AI)
- 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. David Pearson AWS AI Services May 2017 AI and Deep Learning at Amazon
- 2. Artificial Intelligence At Amazon
- 3. Amazon AI Intelligent Services Powered By Deep Learning
- 4. Amazon + Intel • 10+ year partnership • Joint development • Shared customer passion • High performance + low costs • World class supply chain CLOUD & DATA CENTER THINGS & DEVICES AWS IOT Alexa Voice Services Amazon EC2 Amazon S3
- 5. MXNet: Scalable Deep Learning Framework
- 6. Voice & Text “Chatbots” Powers Alexa Voice interactions on mobile, web & devices Text interaction with Slack & Messenger Enterprise Connectors (with more coming) Salesforce Microsoft Dynamics Marketo Zendesk Quickbooks Hubspot Amazon Lex: Build Natural, Conversational Interactions in Voice and Text Improving human interactions… • Contact, service, and support center interfaces (text + voice) • Employee productivity and collaboration (minutes into seconds)
- 7. Amazon Lex – Use Cases Informational Bots Chatbots for everyday consumer requests Application Bots Build powerful interfaces to mobile applications • News updates • Weather information • Game scores …. • Book tickets • Order food • Manage bank accounts …. Enterprise Productivity Bots Streamline enterprise work activities • Check sales numbers • Marketing performance • Inventory status …. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions • Wearables • Appliances • Auto ….
- 8. Converts text to life-like speech 47 voices 24 languages Low latency, real time Fully managed Amazon Polly: Life-like Speech Service Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text 4. Customized Pronunciation Articles and Blogs Training Material Chatbots (Lex) Public Announcements
- 9. Whisper Voice and Speech Marks Whisper SSML effect: <amazon:effect name="whispered"> Synchronize Speech for an Enhanced Visual Experience • Request an additional stream of metadata about sentence word timings • Use the metadata stream alongside the synthesized speech audio stream to sync audio and visual
- 11. Rich Metadata from Visual Content objects, scenes, facial attributes, people Amazon Rekognition Deep Learning-Based Image Recognition Service
- 12. Image Moderation Hierarchical taxonomy Confidence score Top-Level Category Child Category Explicit Nudity Nudity Graphic Male Nudity Graphic Female Nudity Sexual Activity Partial Nudity Suggestive Female Swimwear Or Underwear Male Swimwear Or Underwear Revealing Clothes "ModerationLabels": [ { "Confidence": 83.55088806152344, "Name": "Suggestive", "ParentName": "" }, { "Confidence": 83.55088806152344, "Name": "Female Swimwear Or Underwear", "ParentName": "Suggestive" DetectModerationLabels
- 13. Collection IndexFaces SearchFacesbyImage Nearest neighbor search FaceID: 4c55926e-69b3-5c80-8c9b-78ea01d30690 Similarity: 97 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 92 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 85
- 14. Travel and Hospitality Anticipatory guest experiences for hotels using Amazon Rekognition for facial recognition and sentiment capture Kaliber is using Amazon Rekognition to help front desk agents enhance relationships with guests: • Recognize guests early for instant and personalized service • Receive rich, contextualized guest information in real time • Track guest sentiment throughout their stay • Drive an 80% increase in guest satisfaction scores
- 15. Developer Resources and more… https://aws.amazon.com/blogs/ai/ https://aws.amazon.com/amazon-ai/
Editor's Notes
- Intel and Amazon have enjoyed a solid, collaborative partnership over the past 10+ years. We develop custom silicon for AWS and work together to jointly develop new solutions w/ tech that power AWS. Partnered closely with AWS on a Developer Kit to allow developers to build innovative prototypes and easily connect them to the AWS IoT service Shared passion for innovation, customers and providing the highest performance and cost sensitive solutions to enable customer choice Also have world class supply chains – Alexa can have coffee delivered to a home in less than an hour, and Intel can deliver millions of CPUs to partners anywhere in the world We’re expanding our partnership in to audio and visual leadership in the smart home We’ve been working on enabling the ecosystem to bring AVS and natural voice interaction to multiple devices. Speech is a foundational way that consumers will interact with their smart home. Intel and Amazon are both passionate about the end consumer experience and have products to support a delightful experience. Amazon strategically partnered with Intel to deliver their vision of delivering on this innovation because Intel is one of the world’s largest and most advanced leaders in computing innovation, powering the cloud and billions of smart, connected computing devices, and brings over four decades of experience in creating ecosystems that scale computing innovation..