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Demystifying the AI black box

Demystifying the AI black box

Self-Driving cars. Commercial drones. Smart cameras. Movie and music creation. Powerful & intelligent robots. Over the past few years, a new revolution has brought AI almost to the level of science-fiction. However, most companies are not worried about far-off futuristic applications of AI, they want to know what AI can do - today - for their organizations. Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organization get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organization in more impactful ways.

Adrian Hornsby

October 04, 2018
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  1. © 2017, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Demystifying the AI Black Box ©2018 Amazon Web Services, Inc. or its affiliates, All rights reserved Adrian Hornsby, Senior Technical Evangelist @adhorn
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    rights reserved. Myth: AI is dark magic
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    rights reserved. What are we talking about? AI Machine Learning Deep Learning
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    rights reserved. One of the ”Founding Father" of Artificial Intelligence John McCarthy 1955
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    rights reserved. Photo from the 1956 Dartmouth Conference with Marvin Minsky, Ray Solomonoff, Claude Shannon, John McCarthy, Trenchard More, Oliver Selfridge and Nathaniel Rawchester
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    rights reserved. Frank Rosenblatt, 1957 Perceptron
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    rights reserved. Paul Werbos, 1975 Backpropagation
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    rights reserved. LeCun, 1989 First application of backpropagation https://www.youtube.com/watch?v=FwFduRA_L6Q
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    rights reserved. The curse of dimensionality
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    rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. The Advent of AI Data GPUs & Acceleration Cloud Computing Algorithms
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    rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. What is a Deep Learning?
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    rights reserved. Predicting the price of a house with humans Price City ZipCode Life Quality Parking Size # Room Accessibility Family Friendly
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    rights reserved. Predicting the price of a house with neural network Price City ZipCode Life Quality Parking Size # Room Accessibility Family Friendly Input Output Discovered by the neural network
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    rights reserved. https://ml4a.github.io/ml4a/neural_networks/ Deep Learning Training Learning
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    rights reserved. Learning = Minimizing the loss (error) function Backpropagation
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    rights reserved. Deep Learning is a big deal It’s able to do better than other ML and Humans
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    rights reserved. https://github.com/precedenceguo/mx-rcnn https://github.com/zhreshold/mxnet-yolo Object Detection
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    rights reserved. Text Detection and Recognition https://github.com/Bartzi/stn-ocr
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    rights reserved. https://github.com/tornadomeet/mxnet-face Face Detection
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    rights reserved. FDA-approved medical imaging https://www.periscope.tv/AWSstartups/1vAGRgevBXRJl https://www.youtube.com/watch?v=WE81dncwnIc Object Segmentation
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    rights reserved. Real-Time Pose Estimation https://github.com/dragonfly90/mxnet_Realtime_Multi-Person_Pose_Estimation
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    rights reserved. Generative Adversarial Networks (GAN) The future at work (already) today Generating new ”celebrity” faces https://github.com/tkarras/progressive_growing_of_gans
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    rights reserved. Data Visualization & Analysis Business Problem – ML problem framing Data Collection Data Integration Data Preparation & Cleaning Feature Engineering Model Training & Parameter Tuning Model Evaluation Are Business Goals met? Model Deployment Monitoring & Debugging Yes No Data Augmentation Feature Augmentation The ML Process Re-training Predictions
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    rights reserved. FRAMEWORKS AND INTERFACES PLATFORM SERVICES APPLICATION SERVICES Amazon Rekognition Amazon Polly Amazon Lex ML for everyone. Amazon Rekognition Video Amazon Transcribe Amazon Comprehend Amazon SageMaker AWS DeepLens Amazon EMR Deep Learning AMI Amazon Translate
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    rights reserved. Where do you start? The Low Hanging Fruits
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    rights reserved. FRAMEWORKS AND INTERFACES PLATFORM SERVICES APPLICATION SERVICES Amazon Rekognition Amazon Polly Amazon Lex ML for everyone. Amazon Rekognition Video Amazon Transcribe Amazon Comprehend Amazon SageMaker AWS DeepLens Amazon EMR Deep Learning AMI Amazon Translate
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    rights reserved. Amazon Rekognition Deep learning-based image & video analysis
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    rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. http://timescapes.org/trailers/
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    rights reserved. Marinus Analytics uses facial recognition to stop human trafficking “Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims.” http://www.marinusanalytics.com/articles/2017/10/17/amazon-rekognition-helps-marinus-analytics-fight-human-trafficking
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    rights reserved. Amazon Polly “What's the difference between a hippo and a zippo? One is really heavy, and the other is a little lighter.” Amazon Polly: Text In, Life-like Speech Out The Text-To-Speech technology behind Amazon Polly takes advantage of bidirectional long short-term memory (LSTM)* 52 voices across 25 languages
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    rights reserved. <speak xml:lang="en-US"> The price of this book is <prosody rate="60%">€45</prosody> </speak> A Focus On Voice Quality & Pronunciation Support for Speech Synthesis Markup Language (SSML) Version 1.0 https://www.w3.org/TR/speech-synthesis
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    rights reserved. “With Amazon Polly our users benefit from the most lifelike Text-to-Speech voices available on the market.” Severin Hacker CTO, Duolingo
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    rights reserved. Amazon Lex “What’s the weather forecast?” “It will be sunny and 25°C” Weather Forecast Amazon Lex Build Conversational Chatbots
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    rights reserved. Amazon Comprehend Discover insights from text Entities Key Phrases Language Sentiment Amazon Comprehend Topic Modeling
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    rights reserved. « Amazon Comprehend helps us analyze the key sentiments, objects, and geos in our 30 million plus reviews & testimonies […] so our customers can make the best decision possible for their travel.” Matt Fryer, VP and Chief Data Science Officer Hotels.com https://aws.amazon.com/solutions/case-studies/expedia/
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    rights reserved. FRAMEWORKS AND INTERFACES PLATFORM SERVICES APPLICATION SERVICES Amazon Rekognition Amazon Polly Amazon Lex ML for everyone. Amazon Rekognition Video Amazon Transcribe Amazon Comprehend Amazon SageMaker AWS DeepLens Amazon EMR Deep Learning AMI Amazon Translate
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    rights reserved. https://www.youtube.com/watch?v=qGotULKg8e0 • Over 10 million images from 300,000 hotels • Fine-tuned a pre-trained Convolutional Neural Network using 100,000 images • Hotel descriptions now automatically feature the best available images Expedia Ranking hotel images using deep learning https://news.developer.nvidia.com/expedia-ranking-hotel-images-with-deep-learning/
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    rights reserved. There’s Never Been A Better Time To Build New Businesses https://aws.amazon.com/machine-learning/
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    rights reserved. Thank You. Adrian Hornsby, Cloud Architecture Evangelist @adhorn