This session can help you better understand how to leverage different AWS services to build an IoT application. Learn the value of each AWS service in the Internet of Things (IoT) category, as we go through different use cases that demonstrate how the services are better together. NASA/JPL illustrate those concepts by discussing the inner workings of a demonstration they’ve built. They also talk about how they use IoT to overcome their technical challenges.
NEW LAUNCH! Amazon FreeRTOS: IoT Operating System for Microcontrollers - IOT2...Amazon Web Services
In this presentation, we will take a deeper look at the newly announced Amazon FreeRTOS. Amazon FreeRTOS (a:FreeRTOS) is an operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Amazon FreeRTOS is based on the FreeRTOS kernel, a popular open source operating system for microcontrollers, and extends it with software libraries that make it easy to securely connect your small, low-power devices to AWS cloud services like AWS IoT Core or to more powerful edge devices and gateways running AWS Greengrass.
Automating Security and Compliance Testing of Infrastructure-as-Code for DevS...Amazon Web Services
Infrastructure-as-Code (IaC) has emerged as an essential element of organizational DevOps practices. Tools such as AWS CloudFormation and Terraform allow software-defined infrastructure to be deployed quickly and repeatably to AWS. But the agility of CI/CD pipelines also creates new challenges in infrastructure security hardening. How do you ensure that your CloudFormation templates meet your organization's security, compliance, and governance needs before you deploy them? How do you deploy infrastructure securely to production environments, and monitor the security posture on a continuous basis? And how do you do this repeatedly without hitting a speed bump? This session provides a foundation for how to bring proven software hardening practices into the world of infrastructure deployment. We discuss how to build security and compliance tests for infrastructure analogous to unit tests for application code, and showcase how security, compliance and governance testing fit in a modern CI/CD pipeline.
Session Sponsored by: Dome9
Enabling Big Data Computing at Pfizer with AWS Service Catalog and AWS Lambda...Amazon Web Services
In this session, data analysts, big data administrators, system administrators, developers, and IT managers learn how to create a robust computing environment for their own teams. As enterprises move to the cloud—providing secure, governed turnkey solutions at scale to a broad set of users faces its own challenges—organizations need to ensure charge back and tracking mechanisms while also rapidly creating new turnkey solutions that are readily available to a broad set of end users to keep up with innovation. With AWS Service Catalog, AWS Lambda, Amazon CloudWatch Events, Amazon DynamoDB, and AWS CloudFormation, Pfizer’s Big Data team is defining and enabling the next paradigm of computing at Pfizer.
NEW LAUNCH! AWS IoT Device Management - IOT330 - re:Invent 2017Amazon Web Services
If you have a large fleet of IoT devices join us. We will introduce you to a new service called AWS IoT Device Management. It makes it easy for OEMs, enterprises and integrators to securely manage connected devices throughout their lifecycle: from initial setup through software updates, to retirement. We will show you how customers enroll and authenticate their devices in bulk, organize their fleets, manage permissions, remotely manage and update device software, and monitor the performance of their products. Customers already using the service will show how they have used IoT Device Management to create an IoT solution spanning multiple industries and use cases.
NEW LAUNCH! AWS Greengrass and Amazon FreeRTOS: Connectivity and Security at ...Amazon Web Services
This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases. We will also cover security and authorization across Amazon FreeRTOS and Greengrass.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
NEW LAUNCH! Graph-based Approaches for Cyber Investigative Analytics Using GP...Amazon Web Services
Customers have several options of architecting recommendation engines, and a graphdb is the best way to create a real-time recommendation engine. I will use the as-yet unreleased Neptune service and will show a demo.In this session, we will look at approaches to use machine learning and graph representations for Cyber Investigative Analytics. We will give a demonstration of Graphistry using Amazon Neptune and a graph-based approach to detecting anomalies in Netflow data.
This session provides a technical overview of a new-generation core IoT platform, designed and implemented by Enel in partnership with AWS IoT. The core IoT platform provides a single architecture and a common set of services that will be adopted by existing and future IoT applications across different business units at Enel. We analyze use cases with a live showcase of platform capabilities. We also demonstrate how the core platform enables Enel to build resilient and scalable business solutions by leveraging existing and leading-edge AWS services, such as the AWS IoT Device Gateway, AWS IoT Device Shadow, and AWS Greengrass.
NEW LAUNCH! Amazon FreeRTOS: IoT Operating System for Microcontrollers - IOT2...Amazon Web Services
In this presentation, we will take a deeper look at the newly announced Amazon FreeRTOS. Amazon FreeRTOS (a:FreeRTOS) is an operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Amazon FreeRTOS is based on the FreeRTOS kernel, a popular open source operating system for microcontrollers, and extends it with software libraries that make it easy to securely connect your small, low-power devices to AWS cloud services like AWS IoT Core or to more powerful edge devices and gateways running AWS Greengrass.
Automating Security and Compliance Testing of Infrastructure-as-Code for DevS...Amazon Web Services
Infrastructure-as-Code (IaC) has emerged as an essential element of organizational DevOps practices. Tools such as AWS CloudFormation and Terraform allow software-defined infrastructure to be deployed quickly and repeatably to AWS. But the agility of CI/CD pipelines also creates new challenges in infrastructure security hardening. How do you ensure that your CloudFormation templates meet your organization's security, compliance, and governance needs before you deploy them? How do you deploy infrastructure securely to production environments, and monitor the security posture on a continuous basis? And how do you do this repeatedly without hitting a speed bump? This session provides a foundation for how to bring proven software hardening practices into the world of infrastructure deployment. We discuss how to build security and compliance tests for infrastructure analogous to unit tests for application code, and showcase how security, compliance and governance testing fit in a modern CI/CD pipeline.
Session Sponsored by: Dome9
Enabling Big Data Computing at Pfizer with AWS Service Catalog and AWS Lambda...Amazon Web Services
In this session, data analysts, big data administrators, system administrators, developers, and IT managers learn how to create a robust computing environment for their own teams. As enterprises move to the cloud—providing secure, governed turnkey solutions at scale to a broad set of users faces its own challenges—organizations need to ensure charge back and tracking mechanisms while also rapidly creating new turnkey solutions that are readily available to a broad set of end users to keep up with innovation. With AWS Service Catalog, AWS Lambda, Amazon CloudWatch Events, Amazon DynamoDB, and AWS CloudFormation, Pfizer’s Big Data team is defining and enabling the next paradigm of computing at Pfizer.
NEW LAUNCH! AWS IoT Device Management - IOT330 - re:Invent 2017Amazon Web Services
If you have a large fleet of IoT devices join us. We will introduce you to a new service called AWS IoT Device Management. It makes it easy for OEMs, enterprises and integrators to securely manage connected devices throughout their lifecycle: from initial setup through software updates, to retirement. We will show you how customers enroll and authenticate their devices in bulk, organize their fleets, manage permissions, remotely manage and update device software, and monitor the performance of their products. Customers already using the service will show how they have used IoT Device Management to create an IoT solution spanning multiple industries and use cases.
NEW LAUNCH! AWS Greengrass and Amazon FreeRTOS: Connectivity and Security at ...Amazon Web Services
This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases. We will also cover security and authorization across Amazon FreeRTOS and Greengrass.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
NEW LAUNCH! Graph-based Approaches for Cyber Investigative Analytics Using GP...Amazon Web Services
Customers have several options of architecting recommendation engines, and a graphdb is the best way to create a real-time recommendation engine. I will use the as-yet unreleased Neptune service and will show a demo.In this session, we will look at approaches to use machine learning and graph representations for Cyber Investigative Analytics. We will give a demonstration of Graphistry using Amazon Neptune and a graph-based approach to detecting anomalies in Netflow data.
This session provides a technical overview of a new-generation core IoT platform, designed and implemented by Enel in partnership with AWS IoT. The core IoT platform provides a single architecture and a common set of services that will be adopted by existing and future IoT applications across different business units at Enel. We analyze use cases with a live showcase of platform capabilities. We also demonstrate how the core platform enables Enel to build resilient and scalable business solutions by leveraging existing and leading-edge AWS services, such as the AWS IoT Device Gateway, AWS IoT Device Shadow, and AWS Greengrass.
NEW LAUNCH! How to build graph applications with SPARQL and Gremlin using Ama...Amazon Web Services
In this session, we will demonstrate how you can easily start using graph databases to solve your business problems. We will demonstrate setting up a Neptune instance, loading the dataset and using Gremlin and SPARQL via Java to build a application. We will also cover scaling, availability and administrative aspects of the Neptune service.
NEW LAUNCH! Amazon Neptune Overview and Customer Use Cases - DAT319 - re:Inve...Amazon Web Services
In this session, we will provide an overview of Amazon Neptune, AWS’s newest database service. Amazon Neptune is a fast, reliable graph database that makes it easy to build applications over highly connected data. We will then explore how Siemens is building a knowledge using Amazon Neptune.
NEW LAUNCH! AWS DeepLens workshop: Building Computer Vision Applications - MC...Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models, such as face detection and object analysis using the AWS DeepLens deep learning enabled video camera. By working hands-on, developers of all skill levels can explore and build their own deep learning powered, computer-vision applications. Attendees can experiment with different sample projects for face detection, object recognition, neural style transfer, and other machine learning use cases using Apache MXNet.
IOT311_Customer Stories of Things, Cloud, and Analytics on AWSAmazon Web Services
In this session, AWS IoT customers talk about the nuances, successes, and challenges of running large-scale IoT deployments on AWS. Hear from customers who have been operating on AWS IoT. Learn from their war stories of development and their architectural recommendations on technical best practices on IoT.
An Eye in the Sky: How Radiant Solutions Processes Satellite Imagery with AI ...Amazon Web Services
This planet is a big place filled with amazing and unusual things. Understanding every object, location, and action on this pale blue dot is an enormous challenge. As the world’s leading provider of high-resolution Earth imagery, data, and analysis, DigitalGlobe faces this challenge every day. They use automatic computer vision and machine learning where possible, but so far, the only true solution requires the most powerful information processing machine we know: the human brain. Scaling this solution to work on the trillions of satellite pixels collected by DigitalGlobe every day requires thousands of brains, all working in harmony. To address this, DigitalGlobe | Radiant's (now Radiant Solutions) Tomnod service uses Amazon Mechanical Turk, a crowdsourcing internet platform, to identify small objects appearing in large areas of new satellite imagery. Tomnod is heavily used for commercial and humanitarian purposes. In this session, you hear how Radiant Solutions uses crowdsourcing to help solve large-scale computer vision and machine learning problems.
NEW LAUNCH! Introducing Amazon SageMaker - MCL365 - re:Invent 2017Amazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SaeMaker on AWS for real-time fraud detection.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
TLC304-At the Cutting Edge AWS IOT and Greengrass for Multi-Access Edge Compu...Amazon Web Services
In June 2017, AWS announced the general availability of the Greengrass service bringing local compute, messaging, data caching and synch capabilities to network edge devices. In this session, you will learn how AWS IOT, Greengrass and Lambda@Edge are integrated into Nokia’s Multi-Access Edge Compute (MEC) solution, enabling a platform that provides a programming model at the edge as well as specialized access necessary for the roll-out of advanced 4G and 5G use cases. We will dive into the architecture of this MEC implementation that is tailored to aggregate traffic from multiple macro-cellular and small-cell stations in LTE and 5G networks. You will learn to take advantage of the containerized programming environment on the MEC platform, while also connecting with the eco-system of AWS services.
NEW LAUNCH! AWS IoT Analytics from Consumer IoT to Industrial IoT - IOT211 - ...Amazon Web Services
This session is an overview of IoT Analytics challenges and use cases with our customers. This session will cover analytics use cases from Consumer IoT to Industrial IoT. It will then show how AWS IoT Analytics helps customers solve these challenges in different IoT verticals.
Secure Your Edge-to-Cloud IoT Solution with Intel and AWS - IOT337 - re:Inven...Amazon Web Services
Security is an imperative for any successful IoT deployment. AWS and Intel will showcase their collaboration on IoT security at the edge based on Intel® Zero-Touch Device Onboarding. In this session you will learn how to ensure secure connection back from the edge to AWS cloud, accelerate deployment time for provisioning, and scale solution remotely for customization and management across thousands of devices and end points.
Session sponsored by Intel
The Internet of Things (IoT) keeps evolving, and there’s a critical need for high-speed data processing, analytics, and reduced latency at the edge. Meeting the needs of these systems that leverage a distributed architecture to bring compute resources to the edge and the cloud is essential. A cloud-only model might not be applicable for time-sensitive operations or where network connectivity is poor. Also, connecting every device to the cloud and sending raw data over the internet can have privacy, security, and legal implications, especially for sensitive data. Learn how AWS extends AWS Greengrass to devices, so they can act locally on data and use the cloud for management, analytics, and durable storage.
CMP208_Unleash Your Graphics Solutions with the Flexibility of Elastic GPUsAmazon Web Services
AWS provides unprecedented processing power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. With Amazon EC2 Elastic GPUs, you can easily attach low-cost graphics acceleration to a wide range of EC2 instances over the network, without the constraints of fixed instance types. In this session, learn more about Elastic GPUs architecture, and how you can build powerful graphics-intensive solutions with great flexibility, high quality, and low cost. Our guest speakers discuss their experience building application streaming and SaaS products on top of Elastic GPUs. You also hear from our ISV partners about certifying Elastic GPUs for their 3D applications.
Optimizing Costs as You Scale on AWS - ENT302 - re:Invent 2017Amazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
Deep Learning for Industrial IoT - MCL316 - re:Invent 2017Amazon Web Services
Deep learning and IoT are emerging as an innovative pairing due to the explosion of data produced by a growing number of devices. The data this is generating needs to be quickly analyzed to produce meaningful insights and take action. In this session, we discuss how deep learning can be applied to real-world IoT use cases with a demo of computer vision and anomaly detection. We also do a step-by-step tutorial on how to develop deep learning models for computer vision at the edge using NVIDIA Jetson.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money. Join this workshop to get hands-on experience deploying Docker containers as you break Intersella 8888’s aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
AWS credits are provided. Bring a laptop, and have an active AWS account."
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
In this session, Distinguished Engineer, James Gosling, discusses how AWS innovates in the Internet of Things. James shares stories and experiences in deploying IoT systems, and how AWS thinks of scalability in IoT. In addition, James shares his experiences in engineering Java embedded systems in IoT.
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapid...Amazon Web Services
AWS Summit Milan
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile
Speaker: Michele Alessandrini, Solutions Architect AWS
Slides from my talk at the IP Expo Nordic 2017:
https://www.ipexponordic.com/Speakers-2017/Adrian-Hornsby
Speed and agility are essential for today’s businesses. The quicker you can get from an idea to first results, the more you can experiment and innovate with your data, perform ad-hoc analysis, and drive answers to new business questions. During this talk, Adrian will take in key features of the AWS IoT platform, latest developments and live demos
NEW LAUNCH! How to build graph applications with SPARQL and Gremlin using Ama...Amazon Web Services
In this session, we will demonstrate how you can easily start using graph databases to solve your business problems. We will demonstrate setting up a Neptune instance, loading the dataset and using Gremlin and SPARQL via Java to build a application. We will also cover scaling, availability and administrative aspects of the Neptune service.
NEW LAUNCH! Amazon Neptune Overview and Customer Use Cases - DAT319 - re:Inve...Amazon Web Services
In this session, we will provide an overview of Amazon Neptune, AWS’s newest database service. Amazon Neptune is a fast, reliable graph database that makes it easy to build applications over highly connected data. We will then explore how Siemens is building a knowledge using Amazon Neptune.
NEW LAUNCH! AWS DeepLens workshop: Building Computer Vision Applications - MC...Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models, such as face detection and object analysis using the AWS DeepLens deep learning enabled video camera. By working hands-on, developers of all skill levels can explore and build their own deep learning powered, computer-vision applications. Attendees can experiment with different sample projects for face detection, object recognition, neural style transfer, and other machine learning use cases using Apache MXNet.
IOT311_Customer Stories of Things, Cloud, and Analytics on AWSAmazon Web Services
In this session, AWS IoT customers talk about the nuances, successes, and challenges of running large-scale IoT deployments on AWS. Hear from customers who have been operating on AWS IoT. Learn from their war stories of development and their architectural recommendations on technical best practices on IoT.
An Eye in the Sky: How Radiant Solutions Processes Satellite Imagery with AI ...Amazon Web Services
This planet is a big place filled with amazing and unusual things. Understanding every object, location, and action on this pale blue dot is an enormous challenge. As the world’s leading provider of high-resolution Earth imagery, data, and analysis, DigitalGlobe faces this challenge every day. They use automatic computer vision and machine learning where possible, but so far, the only true solution requires the most powerful information processing machine we know: the human brain. Scaling this solution to work on the trillions of satellite pixels collected by DigitalGlobe every day requires thousands of brains, all working in harmony. To address this, DigitalGlobe | Radiant's (now Radiant Solutions) Tomnod service uses Amazon Mechanical Turk, a crowdsourcing internet platform, to identify small objects appearing in large areas of new satellite imagery. Tomnod is heavily used for commercial and humanitarian purposes. In this session, you hear how Radiant Solutions uses crowdsourcing to help solve large-scale computer vision and machine learning problems.
NEW LAUNCH! Introducing Amazon SageMaker - MCL365 - re:Invent 2017Amazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SaeMaker on AWS for real-time fraud detection.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
TLC304-At the Cutting Edge AWS IOT and Greengrass for Multi-Access Edge Compu...Amazon Web Services
In June 2017, AWS announced the general availability of the Greengrass service bringing local compute, messaging, data caching and synch capabilities to network edge devices. In this session, you will learn how AWS IOT, Greengrass and Lambda@Edge are integrated into Nokia’s Multi-Access Edge Compute (MEC) solution, enabling a platform that provides a programming model at the edge as well as specialized access necessary for the roll-out of advanced 4G and 5G use cases. We will dive into the architecture of this MEC implementation that is tailored to aggregate traffic from multiple macro-cellular and small-cell stations in LTE and 5G networks. You will learn to take advantage of the containerized programming environment on the MEC platform, while also connecting with the eco-system of AWS services.
NEW LAUNCH! AWS IoT Analytics from Consumer IoT to Industrial IoT - IOT211 - ...Amazon Web Services
This session is an overview of IoT Analytics challenges and use cases with our customers. This session will cover analytics use cases from Consumer IoT to Industrial IoT. It will then show how AWS IoT Analytics helps customers solve these challenges in different IoT verticals.
Secure Your Edge-to-Cloud IoT Solution with Intel and AWS - IOT337 - re:Inven...Amazon Web Services
Security is an imperative for any successful IoT deployment. AWS and Intel will showcase their collaboration on IoT security at the edge based on Intel® Zero-Touch Device Onboarding. In this session you will learn how to ensure secure connection back from the edge to AWS cloud, accelerate deployment time for provisioning, and scale solution remotely for customization and management across thousands of devices and end points.
Session sponsored by Intel
The Internet of Things (IoT) keeps evolving, and there’s a critical need for high-speed data processing, analytics, and reduced latency at the edge. Meeting the needs of these systems that leverage a distributed architecture to bring compute resources to the edge and the cloud is essential. A cloud-only model might not be applicable for time-sensitive operations or where network connectivity is poor. Also, connecting every device to the cloud and sending raw data over the internet can have privacy, security, and legal implications, especially for sensitive data. Learn how AWS extends AWS Greengrass to devices, so they can act locally on data and use the cloud for management, analytics, and durable storage.
CMP208_Unleash Your Graphics Solutions with the Flexibility of Elastic GPUsAmazon Web Services
AWS provides unprecedented processing power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. With Amazon EC2 Elastic GPUs, you can easily attach low-cost graphics acceleration to a wide range of EC2 instances over the network, without the constraints of fixed instance types. In this session, learn more about Elastic GPUs architecture, and how you can build powerful graphics-intensive solutions with great flexibility, high quality, and low cost. Our guest speakers discuss their experience building application streaming and SaaS products on top of Elastic GPUs. You also hear from our ISV partners about certifying Elastic GPUs for their 3D applications.
Optimizing Costs as You Scale on AWS - ENT302 - re:Invent 2017Amazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
Deep Learning for Industrial IoT - MCL316 - re:Invent 2017Amazon Web Services
Deep learning and IoT are emerging as an innovative pairing due to the explosion of data produced by a growing number of devices. The data this is generating needs to be quickly analyzed to produce meaningful insights and take action. In this session, we discuss how deep learning can be applied to real-world IoT use cases with a demo of computer vision and anomaly detection. We also do a step-by-step tutorial on how to develop deep learning models for computer vision at the edge using NVIDIA Jetson.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money. Join this workshop to get hands-on experience deploying Docker containers as you break Intersella 8888’s aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
AWS credits are provided. Bring a laptop, and have an active AWS account."
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
In this session, Distinguished Engineer, James Gosling, discusses how AWS innovates in the Internet of Things. James shares stories and experiences in deploying IoT systems, and how AWS thinks of scalability in IoT. In addition, James shares his experiences in engineering Java embedded systems in IoT.
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapid...Amazon Web Services
AWS Summit Milan
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile
Speaker: Michele Alessandrini, Solutions Architect AWS
Slides from my talk at the IP Expo Nordic 2017:
https://www.ipexponordic.com/Speakers-2017/Adrian-Hornsby
Speed and agility are essential for today’s businesses. The quicker you can get from an idea to first results, the more you can experiment and innovate with your data, perform ad-hoc analysis, and drive answers to new business questions. During this talk, Adrian will take in key features of the AWS IoT platform, latest developments and live demos
This session covers best practices for using the AWS IoT rules engine when implementing routing, validation, or augmenting of messages that are sent through AWS IoT. In addition to best practices, AWS partners and customers discuss how the AWS IoT rules engine creates unique use cases to process and inspect data in real time.
ABD331_Log Analytics at Expedia Using Amazon Elasticsearch ServiceAmazon Web Services
Expedia uses Amazon Elasticsearch Service (Amazon ES) for a variety of mission-critical use cases, ranging from log aggregation to application monitoring and pricing optimization. In this session, the Expedia team reviews how they use Amazon ES and Kibana to analyze and visualize Docker startup logs, AWS CloudTrail data, and application metrics. They share best practices for architecting a scalable, secure log analytics solution using Amazon ES, so you can add new data sources almost effortlessly and get insights quickly.
Real-time Analytics using Data from IoT Devices - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the different options available to stream data from IoT sensors to AWS
- Understand how to architect an analytics solution using AWS services to ingest and process IoT data
- Take away best practices for building IoT applications with scalability, cost-effectiveness, and security
Compute at the Edge with AWS Greengrass - IOT309 - re:Invent 2017Amazon Web Services
AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate while still taking advantage of the cloud. In this session, we discuss the features and development languages of AWS Greengrass that let you build powerful edge compute applications. You’ll also hear directly from Greengrass customers in multiple industries.
ABD218_How Euroleague Basketball Uses IoT Analytics to Engage Fans- ABD218Amazon Web Services
IoT and big data have made their way out of industrial applications, general automation, and consumer goods, and are now a valuable tool for improving consumer engagement across a number of industries, including media, entertainment, and sports. The low cost and ease of implementation of AWS analytics services and AWS IoT have allowed AGT, a leader in IoT, to develop their IoTA analytics platform. Using IoTA, AGT brought a tailored solution to EuroLeague Basketball for real-time content production and fan engagement during the 2017-18 season. In this session, we take a deep dive into how this solution is architected for secure, scalable, and highly performant data collection from athletes, coaches, and fans. We also talk about how the data is transformed into insights and integrated into a content generation pipeline. Lastly, we demonstrate how this solution can be easily adapted for other industries and applications.
Easy and Scalable Log Analytics with Amazon Elasticsearch Service - ABD326 - ...Amazon Web Services
- Applications generate logs. Infrastructure generates logs. Even humans generate logs (though we usually call that “medical data”). By ingesting and analyzing logs, you can gain understanding of how complex systems operate and quickly discover and diagnose when they don’t work as they should. In this workshop, we ingest and analyze log streams using Amazon Kinesis Firehose and Amazon Elasticsearch Service. You should come with an understanding of AWS fundamentals (Amazon EC2, Amazon S3, and security groups). You need a laptop with a Chrome or Firefox browser.
NEW LAUNCH! Push Intelligence to the edge with Greengrass - IOT209 - re:Inven...Amazon Web Services
Autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity. In this breakout session, you will learn what is machine learning (ML) inference at the edge and why it matters. We will show you how to use AWS Greengrass to locate cloud trained machine learning models, deploy them to your Greengrass devices, enable access to on-device GPU or FPGA, and apply the models to locally generated data without a need for connection to the cloud.
IoT from Cloud to Edge & Back Again - WebSummit 2018Boaz Ziniman
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
IoT - From Cloud to Edge & Back Again: AWS Developer Workshop at Web Summit 2018Amazon Web Services
IoT - From Cloud to Edge & Back Again: AWS Developer Workshop at Web Summit 2018
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we will discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We will use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
Speaker: Boaz Ziniman - Technical Evangelist, AWS
This is your chance to learn directly from top CTOs and Cloud Architects from some of the most innovative AWS customers. In this lightning round session, we'll have an action-packed hour, jumping straight to the architecture and technical detail for some of the most innovative data storage solutions of 2017. Hear how Insitu collects and analyzes data from drone flights in the field with AWS Snowball Edge. See how iRobot collects and analyzes IoT data from their robotic vacuums, mops, and pool cleaners. Learn how Viber maintains a petabyte-scale data lake on Amazon S3. Understand how Alert Logic scales their massive SaaS cloud security solution on Amazon S3 & Amazon Glacier.
ABD206-Building Visualizations and Dashboards with Amazon QuickSightAmazon Web Services
Just as a picture is worth a thousand words, a visual is worth a thousand data points. A key aspect of our ability to gain insights from our data is to look for patterns, and these patterns are often not evident when we simply look at data in tables. The right visualization will help you gain a deeper understanding in a much quicker timeframe. In this session, we will show you how to quickly and easily visualize your data using Amazon QuickSight. We will show you how you can connect to data sources, generate custom metrics and calculations, create comprehensive business dashboards with various chart types, and setup filters and drill downs to slice and dice the data.
Taking Complexity Out of Data Science with AWS and Zoomdata PPTAmazon Web Services
Zoomdata helps you find quick and easy solutions for even the most complicated Big Data challenges. To meet their Big Data challenges, Blue Canopy designed an AWS-based Data Science Workstation (DSWS) with Zoomdata’s blazing-fast, secure data analysis and visualization platform. Blue Canopy provides information technology and cyber security solutions to US government and commercial enterprises and needed a solution that could expand the depth and breadth of their analytics capabilities for big data projects. They built a Data Science Workstation, which is a self-provisioned tool on AWS, that delivers on-demand services for data analysts.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices and with AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices can leverage AWS IoT and use AWS IoT Button to demonstrate building a real connected product, securely connect with AWS IoT.
In this session delivered by the VP of AWS IoT, we cover how AWS IoT is being deployed across consumer, commercial, and industrial applications. See how customers are securely connecting and managing devices and creating analytics and machine learning (ML) based on IoT data. AWS IoT applications run in the cloud to enable massive scalablity or at the edge to enable real-time local action. Come away with an understanding how IoT is transforming business and what's new from AWS IoT.
Similar to The IoT Offering Explained in Plain English - IOT201 - re:Invent 2017 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
31. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
31
Three major entry points for our Interstellar Network of Things
Goldstone
Canberra
Madrid
Deep Space Network (DSN)
32. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
32
We have 17 Spacecraft and 8 instruments across
the solar system and beyond
Earth Science
• MARSIS
(2003)
Instruments
• MISR • AIRS • TES • MLS • ASTER • OPALS •
RapidScat
(1999) (2002) (2004) (2004) (2009) (2014) (2014)
Planetary
Two Voyagers
(1977)
Mars Odyssey (2001)QuickSCAT (1999) Jason-2 (2008)
Curiosity (2011) NuSTAR (2012) OCO-2 (2014) SMAP (2015) Jason-3 (2016)Juno
(2011)
Opportunity (2003)
Mars Reconnaissance
Orbiter (2005)
Spitzer (2003) CloudSat (2006) Dawn (2007) NEOWISE
(2009)
33. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
33
And we are putting more “things” into this Interstellar Network
COSMIC-2
April – June 2018
GRACE-FO
March 2018
InSIGHT
May 2018
MarCo
May 2018
SWOT 2021 Europa Clipper 2022 WFIRST 2022
Cold Atom Lab
February 2018
OCO-3
Spring 2018
Mars 2020
NISAR 2021
ECOSTRESS
June 2018
Mars Helicopter
2020
PSYCHE 2022
RainCube
Spring 2018
TEMPEST
Spring 2018
36. Changing needs
require technology disruptions
which allows us influence the influencers
and gain early benefits for JPL.
How? Surf the most important technology waves
How can we infuse emerging technologies at JPL
37. A Vision of How We Will Work
Leverages IOT, Programming, Smart Data, Cloud, and Artificial Intelligence, which can evolve at
different cadences
Data Lake
Cloud
(Data
Exchange)
Lights
Open
Source
APIs
(Registry)
Sensors and
Devices
(IoT)
Hue
Intel
RealsenseMetadata
Gesture
Voice
Eyes
Mouse,
Keyboard
Alexa,
Siri
Function
Technology
TBD
Click
Sentiment
Brain
AI / Machine Learning
Intelligent
Assistance
(IA)
Deep Learning
38. The next major technology
waves
Participate at: techwaves@jpl.nasa.gov or https://goto.jpl.nasa.gov/techwaves
Ubiquitous
Computing
Software
Defined
Everything
Accelerated
Computing
Cyber Security
Challenges
New
Habits
Applied AI
Build in
intelligence
everywhere
39. How can the next generation of explorers stand on the shoulders of giants?