AWS re:Invent 2018
496 episodes - English - Latest episode: over 5 years ago - ★★★★ - 8 ratingsAWS re:Invent 2018 Conference
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Episodes
ADT202: Use Amazon Rekognition to Power Video Creative Asset Production
December 01, 2018 00:00 - 35 minutes - 32.7 MBIn this session, hear from an AWS customer about how they leveraged Amazon Rekognition deep learning-based image and video analysis to power a data-driven decision system for creative asset production. Learn how this customer was able to leverage the raw data provided by Amazon Rekognition combined with performance data to discover actionable insights. See a demonstration of the solution, and hear about media- and advertising-specific use cases. Learn from the customer's experiences implement...
AIM202: Leadership Session: Machine Learning
December 01, 2018 00:00 - 58 minutes - 53.7 MBAmazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. Amazon Go, Amazon Alexa, and Amazon Prime Air are also examples. In this session, learn more about the latest machine learning services from AWS, and hear from customers who are partnering with AWS for innovative AI.
AIM203: Patient-Focused Data Science: Machine Learning for Complex Diseases
December 01, 2018 00:00 - 59 minutes - 55.4 MBCurious about how Amazon machine learning (ML) services can enable healthcare organizations to find the insights they need to survive and thrive? Join us to learn how Takeda researchers built and trained their own disease-specific ML models, including deep-learning models using Deloitte ConvergeHEALTH running on AWS to simulate and quantify the overall disease burden and identify potential risks. This session is brought to you by AWS partner, Deloitte Consulting LLP.
AIM204: Smarter Event-Driven Edge with Amazon SageMaker & Project Flogo
December 01, 2018 00:00 - 1 hour - 56 MBA single device can produce thousands of events every second. In traditional implementations, all data is transmitted back to a server or gateway for scoring by a machine learning (ML) model. This data is also stored in a data repository for later use by data scientists. In this session, we explore data science techniques for dealing with time series data leveraging Amazon SageMaker. We also look at modeling applications using deterministic rules with streaming pipelines for data prep, and mo...
AIM207: Faster, Better, Cheaper: AI Apps in One-Tenth the Time and Cost
December 01, 2018 00:00 - 50 minutes - 46.7 MBIn this session, learn how the C3 Platform on AWS is architected and why it accelerates the development of enterprise-scale AI applications. Hear how customers like the US Air Force, Enel, and global manufacturing leaders are using C3 on AWS to rapidly aggregate, unify, federate, and normalize data from sensor networks and enterprise IT systems, and apply ML/AI algorithms against this data to unlock significant economic value. Hear from global organizations that are solving complex business c...
AIM208: Accelerating Enterprise-Scale AI Application Development
December 01, 2018 00:00 - 53 minutes - 49.8 MBIn this session, learn how the C3 Platform on AWS is architected to accelerate the development of modern AI applications. Hear how customers and partners have used the C3 Type System's data-object centric abstraction layer to realize 10-100x productivity gains when building complex AI/ML applications. In addition, hear how global organizations are using C3 on AWS to solve complex business challenges, from optimizing the supply network, to predicting asset failure, to identifying fraud and mon...
AIM301: Deep Learning for Developers: Introduction, Featuring Samsung SDS
December 01, 2018 00:00 - 52 minutes - 48.1 MBArtificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. In this session, learn what deep learning is and how you can use it in your applications to unlock new and exciting capabilities for your customers and business. Also hear from Samsung SDS about how it developed a deep-learning model for cardiac arrhythmia detection using Apache MXNet, an open-source deep-lear...
AIM302: Machine Learning at the Edge
December 01, 2018 00:00 - 48 minutes - 45.3 MBVideo-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity.
AIM303: Smart & Interactive Apps w/ Intelligent Language Services on AWS
December 01, 2018 00:00 - 43 minutes - 40 MBAmazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
AIM304: Transform the Modern Contact Center Using Machine Learning & Analytics
December 01, 2018 00:00 - 57 minutes - 53.1 MBAnalyzing customer service interactions across channels provides a complete 360-degree view of customers. By capturing all interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect and AWS machine learning services, such Amazon Lex, Amazon Transcribe, and Amazon Comprehend, to quickly process and analyze thousands of customer conversations and gain valuable insights. With s...
AIM307: Deep Dive on Amazon Rekognition, ft. Tinder & News UK
December 01, 2018 00:00 - 36 minutes - 50.3 MBJoin us for a deep dive on the latest features of Amazon Rekognition. Learn how to easily add intelligent image and video analysis to applications in order to automate manual workflows, enhance creativity, and provide more personalized customer experiences. We share best practices for fine-tuning and optimizing Amazon Rekognition for a variety of use cases, including moderating content, creating searchable content libraries, and integrating secondary authentication into existing applications.
AIM344: NEW LAUNCH! Introducing Amazon Forecast
December 01, 2018 00:00 - 49 minutes - 45.9 MBBased on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
AIM351: Harness the Power of Crowdsourcing with Amazon Mechanical Turk
December 01, 2018 00:00 - 55 minutes - 50.9 MBAmazon Mechanical Turk operates a marketplace for crowdsourcing, and developers can build human intelligence directly into their applications through a simple API. With access to a diverse, on-demand workforce, companies can leverage the power of the crowd for a range of tasks, from ML training and automating manual tasks to generating human insights. In this session, we cover key concepts for Mechanical Turk, and we share best practices for how to integrate and scale your crowdsourced applic...
AIM352: Business Process Automation Using Crowdsourcing
December 01, 2018 00:00 - 1 hour - 57.3 MBWhile technology continues to improve, there are still many things that human beings can do much more effectively than computers, such as performing data deduplication or content moderation. Traditionally, such tasks have been accomplished by hiring a large temporary workforce-which is time consuming, expensive, and difficult to scale-or have gone undone. However, businesses or developers can use Amazon Mechanical Turk (Mechanical Turk) to access thousands of on-demand workers-and then integr...
AIM363: NEW LAUNCH! Introducing Amazon Hieroglyph: Now in Preview
December 01, 2018 00:00 - 54 minutes - 50.5 MBAmazon Textract enables you to easily extract text and data from virtually any document. Today, companies process millions of documents by manually entering the data or using customized optical character recognition solutions, which are prone to error and consume valuable resources. Join us to learn how Amazon Textract uses machine learning to simplify document processing by enabling fast and accurate text and data extraction so you can process millions of documents in hours.
AIM366: NEW LAUNCH! Amazon Elastic Inference: Reduce Learning Inference Cost
December 01, 2018 00:00 - 50 minutes - 47 MBDeploying deep learning applications at scale can be cost prohibitive due to the need for hardware acceleration to meet latency and throughput requirements of inference. Amazon Elastic Inference helps you tackle this problem by reducing the cost of inference by up to 75% with GPU-powered acceleration that can be right-sized to your application's inference needs. In this session, learn about how to deploy TensorFlow, Apache MXNet, and ONNX models with Amazon Elastic Inference on Amazon EC2 and...
AIM367: NEW LAUNCH! Introducing AWS DeepRacer
December 01, 2018 00:00 - 51 minutes - 48.1 MBDevelopers start your engines! This breakout session will provide an introduction to the newly launched AWS DeepRacer. Learn about the basics of reinforcement learning, what's under the hood and your opportunities to experience AWS DeepRacer for yourself.
AIM369: NEW LAUNCH! Amazon SageMaker Ground Truth: Quality & Accurate Datasets
December 01, 2018 00:00 - 59 minutes - 54.8 MBSuccessful machine learning models are built on high-quality training datasets. Labeling raw data to get accurate training datasets involves a lot of time and effort because sophisticated models can require thousands of labeled examples to learn from, before they can produce good results. Typically, the task of labeling is distributed across a large number of humans, adding significant overhead and cost. Join us as we introduce Amazon SageMaker Ground Truth, a new service that provides an eff...
AIM371: NEW LAUNCH! Machine Learning w/ Amazon SageMaker & AWS Marketplace
December 01, 2018 00:00 - 59 minutes - 55.2 MBUntil now, many customers spent time creating or searching for the right algorithm and model when using Amazon SageMaker. In this session you'll learn how to build machine learning applications even faster by finding curated algorithms and model packages in AWS Marketplace and deploying them directly on Amazon SageMaker.
AIM386: Accelerate AI/ML Adoption with Intel Processors and C3IoT on AWS
December 01, 2018 00:00 - 39 minutes - 36.8 MBToday, organizations deploy more AI/ML workloads on AWS than on any other cloud platform. The cloud has removed many of the challenges associated with scalability, and it's never been easier or more cost effective to build custom and intelligent data models. In this session, learn how the C3 Platform leverages the full power of Intel Xeon Scalable processors on AWS to rapidly train, deploy, and operationalize AI/ML and big data applications like C3 Inventory Optimization and C3 Predictive Mai...
AIM390: Machine Learning Your Eight-Year-Old Would Be Proud Of
December 01, 2018 00:00 - 46 minutes - 43.1 MBCome see examples of how Bebo uses Amazon SageMaker to power massive Fortnite tournaments every week. Traditional sports require referees, scorekeepers, field staff, and broadcast crews for every match. But esports are digital by nature. In this session, learn how machine learning and computer vision are enabling esports to occur at a massive scale. Learn how Bebo developed a model that can detect every victory and elimination, and can even prevent cheating on their tournament platform.
AIM396: ML Best Practices: Prepare Data, Build Models, and Manage Lifecycle
December 01, 2018 00:00 - 49 minutes - 45.4 MBIn this session, we cover best practices for enterprises that want to use powerful open-source technologies to simplify and scale their machine learning (ML) efforts. Learn how to use Apache Spark, the data processing and analytics engine commonly used at enterprises today, for data preparation as it unifies data at massive scale across various sources. We train models using TensorFlow, and we use MLflow to track experiment runs between multiple users within a reproducible environment. We the...
AIM401: Learning Applications Using TensorFlow, Advanced Microgrid Solutions
December 01, 2018 00:00 - 51 minutes - 47.7 MBThe TensorFlow deep learning framework is used for developing diverse artificial intelligence (AI) applications, including computer vision, natural language, speech, and translation. In this session, learn how to use TensorFlow within the Amazon SageMaker machine learning platform. Then, hear from Advanced Microgrid Solutions about how they implemented a deep neural network architecture with Keras and TensorFlow to forecast energy prices in near real time. Complete Title: AWS re:Invent 2018: ...
AIM402: Deep Learning Applications Using PyTorch, Featuring Facebook
December 01, 2018 00:00 - 1 hour - 63.8 MBWith support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook user...
AIM403: Integrate Amazon SageMaker with Apache Spark, ft. Moody's
December 01, 2018 00:00 - 1 hour - 58.7 MBAmazon SageMaker, our fully managed machine learning platform, comes with pre-built algorithms and popular deep learning frameworks. Amazon SageMaker also includes an Apache Spark library that you can use to easily train models from your Spark clusters. In this code-level session, we show you how to integrate your Apache Spark application with Amazon SageMaker. We also dive deep into starting training jobs from Spark, integrating training jobs in Spark pipelines, and more.
AIM404: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker
December 01, 2018 00:00 - 39 minutes - 55.5 MBAmazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployme...
AIM405: Better Analytics Through Natural Language Processing
December 01, 2018 00:00 - 51 minutes - 47.9 MBNatural language processing holds the key to unlocking business value from unstructured data. Organizations that implement effective data analysis methods gain a competitive advantage through improved decision-making, risk reduction, or enhanced customer experience. In this session, learn how to easily process, analyze, and visualize data by pairing Amazon Comprehend with services like Amazon Relational Database Service (Amazon RDS), Amazon Elasticsearch Service, and Amazon Neptune. We also s...
AIM406: Unlock the Potential of Your Media Assets, Fox Entertainment Group
December 01, 2018 00:00 - 59 minutes - 55.1 MBMachine learning (ML) enables developers to build scalable solutions that maximizes the use of media assets through automatic metadata extraction. From automatic transcription and language translation to face detection and celebrity recognition, ML enables you to automate manual workflows and optimize the use of your video content. In this session, learn how to use services such as Amazon Rekognition, Amazon Translate, and Amazon Comprehend to build a searchable video library, automate the cr...
AIM407: Build Learning Applications Using Apache MXNet
December 01, 2018 00:00 - 1 hour - 59.1 MBThe Apache MXNet deep learning framework is used for developing, training, and deploying diverse AI applications, including computer vision, speech recognition, natural language processing, and more at scale. In this session, learn how to get started with Apache MXNet on the Amazon SageMaker machine learning platform. Chick-fil-A share how they got started with MXNet on Amazon SageMaker to measure waffle fry freshness and how they leverage AWS services to improve the Chick-fil-A guest experie...
AIS301: Delivering on the Promise of AI Together
December 01, 2018 00:00 - 28 minutes - 26 MBRohit Prasad Amazon AI We are living in a golden age of artificial intelligence (AI). Machines have already surpassed humans in some specific tasks, including image and speech recognition, thanks to the power of cloud computing, the abundance of data required to train AI systems, and improvements in foundational AI algorithms. While some express fear about the potential for AI systems to increasingly overtake the role of humans, together we should influence how these systems can improve ever...
AIS302: The Future of Mixed-Autonomy Traffic
December 01, 2018 00:00 - 29 minutes - 27.1 MBHow will self-driving cars change urban mobility patterns? This talk examines scientific contributions in the field of reinforcement learning, presented in the context of enabling mixed-autonomy mobility-the gradual and complex integration of autonomous vehicles into existing traffic systems. We explore the potential impact of a small fraction of autonomous vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning. We share examples in the c...
AIS303: Creating Movie Magic with Computational Simulations
December 01, 2018 00:00 - 32 minutes - 30 MBRapid improvements in computational simulation have driven advances in many industries that rely on modelling natural phenomena. In particular, visual effects engineers use AI algorithms to create stunning imagery for feature films like Star Wars, Harry Potter, and the Marvel Cinematic Universe. In this talk, Ronald Fedkiw will discuss his research to produce a new wave of simulation technology with more realistic facial animation to remove the 'uncanny valley,' more realistic and predictive ...
AIS304: Unbiased Learning from Biased User Feedback
December 01, 2018 00:00 - 30 minutes - 27.8 MBLogged user interactions are one of the most ubiquitous forms of data available because they can be recorded from a variety of systems (e.g., search engines, recommender systems, ad placement) at little cost. Naively using this data, however, is prone to failure. A key problem lies in biases that systems inject into the logs by influencing where we will receive feedback (e.g., more clicks at the top of the search ranking). This talk explores how counterfactual inference techniques can make le...
AIS305: Intelligent Systems for Cancer Genomics
December 01, 2018 00:00 - 29 minutes - 27 MBOne of the most exciting frontiers in science is building automated systems that use existing biomedical data to understand and ultimately treat human disease. The key difficulty in the case of cancer is that it is a highly heterogeneous disease, making it challenging to uncover which molecular alterations in tumors are important for the disease and to predict how an individual will respond to treatment. This talk presents an overview of integrative computational methods for analyzing cancer ...
AIS306: Making Aerial Micro-Drones a Reality
December 01, 2018 00:00 - 21 minutes - 19.9 MBThe concept of insect-scale aerial drones has long been in the realm of science fiction rather than reality, especially since powering such small drones is fundamentally difficult. In this talk, Shyam Gollakota will share his work on robofly, the first honeybee-sized wireless drone to successfully lift off. He will also discuss an alternative biology-based solution that integrates sensing, computing, and communication functions onto live-flying bumblebees. Data generated from this mobile IoT ...
AIS307: Designing for a Data-Driven Economy
December 01, 2018 00:00 - 24 minutes - 22.3 MBThe abundance of data available today has been described as a sea change and its own economy. Data has enabled new products, services, businesses, and economies. How can designers thrive as data-savvy innovators in this new economy? What do designers need to know about data, machine learning, and artificial intelligence? In this talk, Jodi Forlizzi draws from multiple research and development efforts to present relevant findings about how to design in a new data-driven economy.
AIS308: Pragmatic Quantum Machine Learning Today
December 01, 2018 00:00 - 27 minutes - 25.4 MBQuantum computing's theoretical potential to exponentially speed up deep learning stands in sharp contrast to the current reality. Implementations are imperfect, suffering from noise and poor coherence times, and scalability limitations. In this talk, we explore how quantum-enhanced machine learning plays a complementary role to classical techniques, rather than acting as a replacement. We discuss relevant computing paradigms, such as quantum annealing and gate-model quantum computing over di...
ALX201: Alexa Everywhere: A Year in Review
December 01, 2018 00:00 - 56 minutes - 52.2 MBSince its launch in 2015, Alexa has enabled new experiences across many device form factors at home, work, in the car, and on the go. With over 50,000 published skills, hundreds of new API features releases, and numerous Alexa-enabled devices, it can be hard to keep track with of the current pace. In this session, we get you up to speed on the current Voice First movement, the current Conversational AI trends, and we give demonstrations of some of the latest Alexa features and devices. Come l...
ALX302: Best Practices for Making Money with Alexa Skills
December 01, 2018 00:00 - 48 minutes - 44.5 MBIn this session, we walk you through the process of designing and adding in-skill purchasing to your skills. Experienced developers share their in-skill purchasing journey, the lessons they learned, and the best practices that they followed.
ALX305: Voice Assistants Beyond Speakers - Alexa into Your Unique Product
December 01, 2018 00:00 - 39 minutes - 37 MBJoin us for a deep dive into the system architecture for voice-enabled products with "Alexa Built-In". Device makers can use the Alexa Voice Service (AVS) to add conversational AI to a variety of products from smart speakers to headphones, screen-based devices to smarthome, and more. Learn how to choose the right hardware and software tools, ensure great customer experience with test and certification guidelines, and leverage qualified solution providers to get your products to market faster....
ALX312: Lessons Escape the Room That Apply to Making Money w/ Your Alexa Skills
December 01, 2018 00:00 - 1 hour - 58.2 MBGames push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for 'Escape the Room' and 'Escape the Airplane' game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda.
ALX313: Use Alexa to Reach New Customers by Developing for Multiple Screens
December 01, 2018 00:00 - 52 minutes - 48.9 MBLearn how the new Alexa Presentation Language makes it easy to develop interactive voice and touch experiences that are portable to any Alexa enabled device with a screen-tablets, TVs, Echo Show, Echo Spot, and more. Learn how to use the new APL file format, reusable UI components, and device groupings to create rich, interactive multimodal experiences that automatically adapt to target devices.
ALX315: Home Skill API: Connect Any Device to Alexa & Control Any Feature
December 01, 2018 00:00 - 48 minutes - 45.2 MBIn this session, learn about the latest update to the Smart Home Skill API, featuring new capability interfaces you can use as building blocks to connect any device to Alexa, including those that fall outside of the traditional smart home categories of lighting, locks, thermostats, sensors, cameras, and audio & video gear. Also learn how to create Alexa Skills that contain multiple interaction models to provide a seamless customer experience. We walk through an example case study to demonstra...
ALX402: Make Money with Alexa Skills
December 01, 2018 00:00 - 56 minutes - 51.9 MBIn this session, developers learn how to leverage Alexa in-skill purchasing APIs, Amazon Pay, and developer reporting tools to help unlock premium digital content in a custom voice experience. Discover how in-skill purchasing gives customers and developers the flexibility of making payments through consumables, subscriptions, and one-time entitlements. Dive deep, and leave this session with everything you need to know to make money with Alexa skills.
ALX406: Alexa Skill Developer Tools: Build Better Skills Faster
December 01, 2018 00:00 - 53 minutes - 49.6 MBIn this session, we explore the suite of developer tools offered by the Alexa Skills team and dive into how they can help you be more productive in coding, deploying, testing, debugging, and collaborating with others on your skill. Learn about the different tools and libraries we have built to help you through the development process. A guest speaker joins us to introduce real-world use cases where our tools helped the team improve their productivity and the robustness of their skill.
AMT301: Alexa, Where's My Car? Test Drive of AWS Connected Vehicle Solution
December 01, 2018 00:00 - 55 minutes - 51.1 MBThe transformation of the auto industry from manufacturers to mobility providers is centered on seamlessly and safely connecting vehicles to the outside world. In this session, we discuss how customers are using AWS for a variety of connected vehicle use cases. Leave this session with source code, architecture diagrams, and an understanding of how to use the AWS connected vehicle reference architecture to build your own prototypes. Also learn how companies leverage Amazon services such as Ale...
AMT302: Easy Rider: How ML, Serverless, and IoT Drive Mobility as a Service
December 01, 2018 00:00 - 55 minutes - 58.6 MBVehicle mobility is evolving, from traditional rental and fleet services, to car sharing, ride hailing, and future driverless services. Mobility providers need an agile, scalable, digital platform to manage all aspects of their fleet and its usage. In this session, Avis Budget Group (ABG) and Slalom walk through their serverless mobility platform using the AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda. Learn the practical applica...
ANT201: Big Data Analytics Architectural Patterns & Best Practices
December 01, 2018 00:00 - 44 minutes - 54.5 MBIn this session, we discuss architectural principles that helps simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these...
ANT202: Modern Cloud Data Warehousing
December 01, 2018 00:00 - 55 minutes - 48.9 MBMost companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper i...
ADT201: Digital Advertising - Customer Learning & the Road Ahead
December 01, 2018 00:00 - 1 hour - 56.4 MBIn this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away ...