The document discusses AWS IoT Analytics, a service that processes, enriches, stores, analyzes, and visualizes IoT data. It provides an overview of the key components of AWS IoT Analytics including channels to ingest data from multiple sources, pipelines to filter, transform and enrich data, data stores to store raw and processed data, data sets to query the data stores using SQL, and Jupyter notebooks and containers to build and run machine learning models on the data. It also provides examples of how customers in energy/oil and gas, consumer products, and manufacturing are using AWS IoT Analytics for applications like predictive maintenance, anomaly detection, device telemetry analysis, and quality control.
AWS IoT Events is a new IoT-managed service that allows enterprises with large operations dependent on IoT devices to continuously monitor data from their equipment, applications, and fleets of devices for changes in operation and trigger the appropriate response when events occur. IoT Events monitors inputs from many IoT sensors and applications simultaneously; it can also combine sensor and application data with analytical results, including machine learning from AWS IoT Analytics. It helps customers reduce costs through efficiency gains, minimize downtime, and improve product quality. IoT Events is applicable to several industries, including device manufacturers, manufacturing plants, power and utilities, shipping, oil and gas, etc. Join us for this session to learn more about the customer benefits of IoT Events, and catch a demo of IoT Events in action.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. Enel (IOT2...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Tips for Building IoT Applications Faster (IOT366) - AWS re:Invent 2018Amazon Web Services
AWS IoT services help you connect devices to AWS services and other devices, secure data, interactions, and process, act on device data, and enable applications to interact with devices, even when they are offline. In this session, we provide tips for using the portfolio to create applications faster and deploying applications at the edge. We show you how to save time when adding new kinds of devices to your applications.
Alexa and AWS IoT, ft. VIZIO (IOT302-R1) - AWS re:Invent 2018Amazon Web Services
Voice is a natural interface to interact not just with the world around us, but also with physical assets and things, such as connected home devices, including lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using the AWS IoT platform and Alexa Skills Kit. We also hear from customer, VIZIO, on how they are using AWS IoT and Alexa to bring a voice-controlled television experience to their hundreds of thousands of customers.
Understand the State of Your Connected Devices (IOT367) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss the different ways to understand the state of your operations, how to use AWS IoT services, and how to take appropriate action using AWS IoT services, like the AWS IoT Rules Engine, to improve operational efficiency.
IoT at Scale: Monitor and Manage Devices with AWS IoT Device Management (IOT3...Amazon Web Services
AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. In this hands-on, CLI-oriented workshop, learn about AWS IoT Device Management features such as onboarding options, over-the-air (OTA) updates, fleet indexing, thing groups, and fine-grained logging. Gain an understanding of how to automate management of IoT devices.
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018Amazon Web Services
The Internet of Things (IoT) is creating massive amounts of data, but users can’t easily access that data and quickly make decisions from it. Data projects are too often funded and delivered without enough consideration for how users will access and consume that data. Domo connects the people, data, and systems to give users the data they need to do their jobs, anytime and from anywhere. In this session, learn how LifeConEx, DHL’s temperature management specialist, uses Domo to get insights from their IoT data to its users, and see the impressive results they have achieved. This session is brought to you by AWS partner, Domo.
AWS IoT Events is a new IoT-managed service that allows enterprises with large operations dependent on IoT devices to continuously monitor data from their equipment, applications, and fleets of devices for changes in operation and trigger the appropriate response when events occur. IoT Events monitors inputs from many IoT sensors and applications simultaneously; it can also combine sensor and application data with analytical results, including machine learning from AWS IoT Analytics. It helps customers reduce costs through efficiency gains, minimize downtime, and improve product quality. IoT Events is applicable to several industries, including device manufacturers, manufacturing plants, power and utilities, shipping, oil and gas, etc. Join us for this session to learn more about the customer benefits of IoT Events, and catch a demo of IoT Events in action.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. Enel (IOT2...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Tips for Building IoT Applications Faster (IOT366) - AWS re:Invent 2018Amazon Web Services
AWS IoT services help you connect devices to AWS services and other devices, secure data, interactions, and process, act on device data, and enable applications to interact with devices, even when they are offline. In this session, we provide tips for using the portfolio to create applications faster and deploying applications at the edge. We show you how to save time when adding new kinds of devices to your applications.
Alexa and AWS IoT, ft. VIZIO (IOT302-R1) - AWS re:Invent 2018Amazon Web Services
Voice is a natural interface to interact not just with the world around us, but also with physical assets and things, such as connected home devices, including lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using the AWS IoT platform and Alexa Skills Kit. We also hear from customer, VIZIO, on how they are using AWS IoT and Alexa to bring a voice-controlled television experience to their hundreds of thousands of customers.
Understand the State of Your Connected Devices (IOT367) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss the different ways to understand the state of your operations, how to use AWS IoT services, and how to take appropriate action using AWS IoT services, like the AWS IoT Rules Engine, to improve operational efficiency.
IoT at Scale: Monitor and Manage Devices with AWS IoT Device Management (IOT3...Amazon Web Services
AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. In this hands-on, CLI-oriented workshop, learn about AWS IoT Device Management features such as onboarding options, over-the-air (OTA) updates, fleet indexing, thing groups, and fine-grained logging. Gain an understanding of how to automate management of IoT devices.
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018Amazon Web Services
The Internet of Things (IoT) is creating massive amounts of data, but users can’t easily access that data and quickly make decisions from it. Data projects are too often funded and delivered without enough consideration for how users will access and consume that data. Domo connects the people, data, and systems to give users the data they need to do their jobs, anytime and from anywhere. In this session, learn how LifeConEx, DHL’s temperature management specialist, uses Domo to get insights from their IoT data to its users, and see the impressive results they have achieved. This session is brought to you by AWS partner, Domo.
AWS IoT: servizi costruiti per migliorare le performance di businessAmazon Web Services
In questa sessione presenteremo la suite di servizi della piattaforma AWS IoT. Approfondiremo come AWS IoT aiuta i nostri clienti ad ottenere dei solidi vantaggi di business come: accedere a nuove opportunità di business, sviluppare nuovi prodotti e servizi, migliorare le relazioni con i propri Clienti, velocizzare i processi decisionali e creare una cultura aziendale basata sull'utilizzo intelligente dei dati.
Monitoring IoT Device Behavior with AWS IoT Device Defender Detect (IOT360) -...Amazon Web Services
Get hands on with AWS IoT Device Defender Detect. In this workshop, we enable AWS IoT Device Defender support on an IoT-connected device, and we simulate a series of attacks against our devices. We also simulate compromised devices to learn how to create behavior profiles that detect anomalous behavior, and we discuss techniques for responding to alerts and profile violations.
Keep Your IoT Devices Secure (IOT205) - AWS re:Invent 2018Amazon Web Services
Helping you manage the security of your IoT fleet is a top priority for AWS. You can use AWS IoT Device Defender to audit device fleets for best practices and drift in security settings, detect abnormal device behavior, and receive alerts to investigate issues. In this session, we will show you how you can use AWS IoT Device Defender to implement and maintain secure policies and controls to keep data and devices secure. Come away understanding how to spot insecure device configurations and how to set up metrics that can be used to spot a DDoS and botnet attacks. We will also look at how AWS IoT Device Defender works with AWS IoT Core and AWS IoT Device Management to respond to security alerts.
Securing and Managing IoT Devices at Scale (SEC367-R1) - AWS re:Invent 2018Amazon Web Services
Internet of Things (IoT) is taking the world by storm. Nearly every study indicates that the number of edge devices connected to an IoT platform will grow exponentially in the next few years. It’s our belief that over time, everything that can be connected to Internet will be. That’s “lots” of things. Protecting your IoT deployment is key to securing data and earning customer trust. In this talk, we walk through best practices for securing edge devices using native capabilities within AWS IoT and AWS IoT Device Defender.
Extracting Insights from Industrial Data Using AWS IoT Services (IOT368) - AW...Amazon Web Services
IoT (IIoT) bridges the gap between legacy industrial equipment and infrastructure and new technologies, such as machine learning, cloud, mobile, and edge computing. In this session, we focus on how you can extract data from your industrial data sources and build operational insights using AWS IoT services. We cover how to bridge traditional on-premises applications and data stores with new cloud-based IoT applications.
[NEW LAUNCH!] Introducing AWS IoT Things Graph (IOT366) - AWS re:Invent 2018Amazon Web Services
AWS IoT Things Graph is a service that enables you to visually build IoT applications by connecting devices and web services from different vendors with little to no code. In this session, we discuss how you can represent devices and services as reusable components, called models, that hide low-level details, such as protocols and interfaces. We show you how to visually wire models together to design your applications quickly, and then deploy the applications on the local gateway for execution. We will end with a demo, so you can see how much development time you can save using AWS IoT Things Graph.
How to use AWS IoT Analytics to unlock the value from IoT dataAmazon Web Services
Level: Intermediate
If you could solve real-world problems with IoT data, what would you tackle first?
To answer this question, we'll show you how to use AWS IoT Analytics to analyse massive volumes of IoT data without having to worry about the cost and complexity of building your own IoT analytics platform. The solution makes it easy to run analytics and derive insights from IoT data that will help you make better, more accurate decisions on IoT applications and machine learning use cases, for example, predictive maintenance.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
Best Practices for AWS IoT Core (IOT347-R1) - AWS re:Invent 2018Amazon Web Services
There are many different components of AWS IoT Core, including Device gateway, Registry, Message broker, Rules engine, and Device shadow. In this session, we cover each component in depth, how to use them, and best practices. Come away with an understanding of how AWS IoT Core can help you securely connect and manage devices, process and act on device data, and read and set device state. In addition to best practices, we discuss common customer questions when using different features of AWS IoT Core.
AWS IoT for Frictionless Consumer Experiences in Retail (RET201) - AWS re:Inv...Amazon Web Services
Gaining key real-time insights is a key differentiator in retail decision making. Traditional or legacy retail processes are often batch-based or delayed in data processing systems that offer post insights to events. Placing a best practice messaging substrate into stores and other environments can provide an over-the-top real-time channel for insights into multiple use cases. Similarly, actions can be pushed in real-time back to the store to action responses to those insights gained. In this session, we demonstrate how AWS Greengrass and AWS IoT services continue gathering data from devices in a store, such as point of sales for analysis, even when connectivity to the cloud is not constant. We dive into how you can leverage Lambda functions on local AWS Greengrass devices to stream in-store events in real time to a data lake in Amazon S3. This data can then be used to derive business insights to drive appropriate action.
The intersection of AI and IoT presents new opportunities to create value for your business, capturing new insights from the vast amounts of IoT data available, which results in stronger customer relationships and new efficiencies. In this session, we discuss the future of operations and product development when AI and IoT meet to make autonomous decisions faster and better.
Deep Dive into New AWS IoT Services Launched in 2018 (IOT320) - AWS re:Invent...Amazon Web Services
Take a deep dive into the newer services available in 2018 for AWS IoT. In this session, we look at new features added to AWS IoT Core and AWS Greengrass with Edge ML, and then deep dive into AWS IoT Analytics, AWS Device Management, and AWS IoT Device Defender. Learn more about when to use some of these services and explore comparisons between them.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Operationalizing Your Analysis with AWS IoT Analytics (IOT358-R1) - AWS re:In...Amazon Web Services
AWS IoT Analytics makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity required to build your own IoT analytics platform. It collects and prepares data for analysis and also lets you explore and visualize your IoT data so you can make better and more accurate business decisions. AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases. Models built and trained in AWS IoT Analytics can be run on connected devices. Join us for a deep dive and demo on how to operationalize your analytical workflows with AWS IoT Analytics.
AWS IoT - How Low Can You Go (IOT357-R1) - AWS re:Invent 2018Amazon Web Services
AWS IoT and Amazon FreeRTOS set a high bar for transport layer security, which can overwhelm the capabilities of microcontrollers and embedded systems. In this session, we cover how to enable popular microcontrollers, Wi-Fi chipsets, and cryptocomponents to communicate with AWS IoT at minimal cost. Also, we compare and contrast different approaches for hardware solutions to enable AWS Greengrass devices to effectively communicate in a secure manner. We discuss microcontroller ecosystems, discrete components, and mature frameworks for development. Our goal is to help you understand and minimize bill of materials, or BOM, that goes into IoT hardware development.
Enable Your Smart Factory with the AWS Industrial IoT Reference Solution (MFG...Amazon Web Services
In this session, get hands-on experience with live industrial devices, and learn how to deploy the AWS Industrial IoT reference solution to consume and analyze factory data from your operational technology (OT). You deploy the reference solution in your AWS account and configure it to connect PLCs from common manufacturers, such as Siemens, Rockwell, and ABB, to AWS IoT, and you send data to the cloud. Gain experience using AWS Greengrass for edge computing, and AWS IoT Analytics and Amazon QuickSight to process and visualize the data for familiar use cases, including predictive maintenance and plant performance optimization. Leave this workshop with the AWS CloudFormation template for reference architecture and the knowledge to securely connect your own OT to the AWS Cloud, and start gaining insights from your factory data.
Come estendere gli ambienti VMware sul Cloud AWS
VMware Cloud on AWS è una soluzione integrata nel cloud sviluppata in collaborazione da AWS e VMware che offre un servizio altamente flessibile, sicuro e affidabile con cui le aziende possono eseguire la migrazione dei propri ambienti basati su VMware vSphere nel cloud AWS. VMware Cloud on AWS permette di portare in modo ancora piu’ semplice le proprie applicazioni esistsenti sulla infrastruttura cloud di Amazon e sfruttare gli innovativi servizi nativi di AWS. In questa sessione approfondiremo come, attraverso VMware Cloud on AWS, le aziende possono implementare i propri ambienti IT ibridi utilizzando le stesse tecnologie di VMware Cloud Foundation che apprezzano quotidianamente nei propri data center, senza dover acquistare prodotti hardware o software, riscrivere le applicazioni o modificare i propri modelli operativi.
Using AWS IoT for Industrial Applications - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how AWS IoT can be used for Industrial Applications including predictive quality, asset condition monitoring, and predictive maintenance
- Know how features of AWS IoT Core such as the rules engine, device shadow, and message broker are used for industrial applications
- Articulate how AWS IoT Analytics supports machine learning
Code in the Cloud- Deploy on Microcontroller and Edge DevicesAmazon Web Services
Level: Intermediate
In this session, you'll learn how to connect microcontroller-based embedded devices and extend AWS to your more powerful, IoT edge devices. We'll also show you how how to apply cloud programming to your devices to create powerful, end to end solutions. This session will cover the use of Amazon FreeRTOS, AWS Greengrass, AWS IoT Device Management, AWS IoT Analytics and Amazon Sagemaker.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
Enel, AWS, and Athonet: Connecting Millions of IoT Devices on Private LTE (TL...Amazon Web Services
The upcoming launch of unlicensed spectrums globally, including CBRS in the USA (and later MulteFire globally), sXGP in Japan, and LAA in France, opens up new opportunities for deployment of 5G-ready industrial-grade private LTE networks integrated for industrial IoT applications. Deploying a private LTE network requires key considerations of both localized and widely distributed networks for highly resilient, low-latency broadband and narrow band (LTE-M, NB-IoT) LTE communications. In this workshop, we dive deep into how Enel plans to integrate millions of devices across power plants and field devices to AWS IoT using a private LTE network from Athonet to realize a smart electricity enterprise. Enel is one of the world's largest electricity utilities, with a 30-million smart meter program in Italy that has underlying LTE connectivity through a private MVNO. Athonet is a market leader globally in private LTE, with over 100 dedicated LTE networks globally for industry, public safety, and digital use cases, providing the mobile core network for Enel's private MVNO.
IoT Building Blocks: From Edge Devices to Analytics in the Cloud - SRV204 - A...Amazon Web Services
In this session, we explore the features and functions of AWS IoT services. We first cover AWS IoT fundamentals and our AWS Partner Network (APN) ecosystem. Then we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and examine common architectural patterns. With this foundation in place, we explore a use case for IoT applications. You gain an understanding of how to start building IoT applications with AWS IoT.
In this workshop, you learn about the different components of AWS IoT Analytics. You have the opportunity to configure AWS IoT Analytics to ingest data from AWS IoT Core, enrich the data using AWS Lambda, visualize the data using Amazon QuickSight, and perform machine learning using Jupyter Notebooks. Join us, and build a solution that helps you perform analytics on appliance energy usage in a smart building and forecast energy utilization to optimize consumption.
AWS IoT: servizi costruiti per migliorare le performance di businessAmazon Web Services
In questa sessione presenteremo la suite di servizi della piattaforma AWS IoT. Approfondiremo come AWS IoT aiuta i nostri clienti ad ottenere dei solidi vantaggi di business come: accedere a nuove opportunità di business, sviluppare nuovi prodotti e servizi, migliorare le relazioni con i propri Clienti, velocizzare i processi decisionali e creare una cultura aziendale basata sull'utilizzo intelligente dei dati.
Monitoring IoT Device Behavior with AWS IoT Device Defender Detect (IOT360) -...Amazon Web Services
Get hands on with AWS IoT Device Defender Detect. In this workshop, we enable AWS IoT Device Defender support on an IoT-connected device, and we simulate a series of attacks against our devices. We also simulate compromised devices to learn how to create behavior profiles that detect anomalous behavior, and we discuss techniques for responding to alerts and profile violations.
Keep Your IoT Devices Secure (IOT205) - AWS re:Invent 2018Amazon Web Services
Helping you manage the security of your IoT fleet is a top priority for AWS. You can use AWS IoT Device Defender to audit device fleets for best practices and drift in security settings, detect abnormal device behavior, and receive alerts to investigate issues. In this session, we will show you how you can use AWS IoT Device Defender to implement and maintain secure policies and controls to keep data and devices secure. Come away understanding how to spot insecure device configurations and how to set up metrics that can be used to spot a DDoS and botnet attacks. We will also look at how AWS IoT Device Defender works with AWS IoT Core and AWS IoT Device Management to respond to security alerts.
Securing and Managing IoT Devices at Scale (SEC367-R1) - AWS re:Invent 2018Amazon Web Services
Internet of Things (IoT) is taking the world by storm. Nearly every study indicates that the number of edge devices connected to an IoT platform will grow exponentially in the next few years. It’s our belief that over time, everything that can be connected to Internet will be. That’s “lots” of things. Protecting your IoT deployment is key to securing data and earning customer trust. In this talk, we walk through best practices for securing edge devices using native capabilities within AWS IoT and AWS IoT Device Defender.
Extracting Insights from Industrial Data Using AWS IoT Services (IOT368) - AW...Amazon Web Services
IoT (IIoT) bridges the gap between legacy industrial equipment and infrastructure and new technologies, such as machine learning, cloud, mobile, and edge computing. In this session, we focus on how you can extract data from your industrial data sources and build operational insights using AWS IoT services. We cover how to bridge traditional on-premises applications and data stores with new cloud-based IoT applications.
[NEW LAUNCH!] Introducing AWS IoT Things Graph (IOT366) - AWS re:Invent 2018Amazon Web Services
AWS IoT Things Graph is a service that enables you to visually build IoT applications by connecting devices and web services from different vendors with little to no code. In this session, we discuss how you can represent devices and services as reusable components, called models, that hide low-level details, such as protocols and interfaces. We show you how to visually wire models together to design your applications quickly, and then deploy the applications on the local gateway for execution. We will end with a demo, so you can see how much development time you can save using AWS IoT Things Graph.
How to use AWS IoT Analytics to unlock the value from IoT dataAmazon Web Services
Level: Intermediate
If you could solve real-world problems with IoT data, what would you tackle first?
To answer this question, we'll show you how to use AWS IoT Analytics to analyse massive volumes of IoT data without having to worry about the cost and complexity of building your own IoT analytics platform. The solution makes it easy to run analytics and derive insights from IoT data that will help you make better, more accurate decisions on IoT applications and machine learning use cases, for example, predictive maintenance.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
Best Practices for AWS IoT Core (IOT347-R1) - AWS re:Invent 2018Amazon Web Services
There are many different components of AWS IoT Core, including Device gateway, Registry, Message broker, Rules engine, and Device shadow. In this session, we cover each component in depth, how to use them, and best practices. Come away with an understanding of how AWS IoT Core can help you securely connect and manage devices, process and act on device data, and read and set device state. In addition to best practices, we discuss common customer questions when using different features of AWS IoT Core.
AWS IoT for Frictionless Consumer Experiences in Retail (RET201) - AWS re:Inv...Amazon Web Services
Gaining key real-time insights is a key differentiator in retail decision making. Traditional or legacy retail processes are often batch-based or delayed in data processing systems that offer post insights to events. Placing a best practice messaging substrate into stores and other environments can provide an over-the-top real-time channel for insights into multiple use cases. Similarly, actions can be pushed in real-time back to the store to action responses to those insights gained. In this session, we demonstrate how AWS Greengrass and AWS IoT services continue gathering data from devices in a store, such as point of sales for analysis, even when connectivity to the cloud is not constant. We dive into how you can leverage Lambda functions on local AWS Greengrass devices to stream in-store events in real time to a data lake in Amazon S3. This data can then be used to derive business insights to drive appropriate action.
The intersection of AI and IoT presents new opportunities to create value for your business, capturing new insights from the vast amounts of IoT data available, which results in stronger customer relationships and new efficiencies. In this session, we discuss the future of operations and product development when AI and IoT meet to make autonomous decisions faster and better.
Deep Dive into New AWS IoT Services Launched in 2018 (IOT320) - AWS re:Invent...Amazon Web Services
Take a deep dive into the newer services available in 2018 for AWS IoT. In this session, we look at new features added to AWS IoT Core and AWS Greengrass with Edge ML, and then deep dive into AWS IoT Analytics, AWS Device Management, and AWS IoT Device Defender. Learn more about when to use some of these services and explore comparisons between them.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Operationalizing Your Analysis with AWS IoT Analytics (IOT358-R1) - AWS re:In...Amazon Web Services
AWS IoT Analytics makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity required to build your own IoT analytics platform. It collects and prepares data for analysis and also lets you explore and visualize your IoT data so you can make better and more accurate business decisions. AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases. Models built and trained in AWS IoT Analytics can be run on connected devices. Join us for a deep dive and demo on how to operationalize your analytical workflows with AWS IoT Analytics.
AWS IoT - How Low Can You Go (IOT357-R1) - AWS re:Invent 2018Amazon Web Services
AWS IoT and Amazon FreeRTOS set a high bar for transport layer security, which can overwhelm the capabilities of microcontrollers and embedded systems. In this session, we cover how to enable popular microcontrollers, Wi-Fi chipsets, and cryptocomponents to communicate with AWS IoT at minimal cost. Also, we compare and contrast different approaches for hardware solutions to enable AWS Greengrass devices to effectively communicate in a secure manner. We discuss microcontroller ecosystems, discrete components, and mature frameworks for development. Our goal is to help you understand and minimize bill of materials, or BOM, that goes into IoT hardware development.
Enable Your Smart Factory with the AWS Industrial IoT Reference Solution (MFG...Amazon Web Services
In this session, get hands-on experience with live industrial devices, and learn how to deploy the AWS Industrial IoT reference solution to consume and analyze factory data from your operational technology (OT). You deploy the reference solution in your AWS account and configure it to connect PLCs from common manufacturers, such as Siemens, Rockwell, and ABB, to AWS IoT, and you send data to the cloud. Gain experience using AWS Greengrass for edge computing, and AWS IoT Analytics and Amazon QuickSight to process and visualize the data for familiar use cases, including predictive maintenance and plant performance optimization. Leave this workshop with the AWS CloudFormation template for reference architecture and the knowledge to securely connect your own OT to the AWS Cloud, and start gaining insights from your factory data.
Come estendere gli ambienti VMware sul Cloud AWS
VMware Cloud on AWS è una soluzione integrata nel cloud sviluppata in collaborazione da AWS e VMware che offre un servizio altamente flessibile, sicuro e affidabile con cui le aziende possono eseguire la migrazione dei propri ambienti basati su VMware vSphere nel cloud AWS. VMware Cloud on AWS permette di portare in modo ancora piu’ semplice le proprie applicazioni esistsenti sulla infrastruttura cloud di Amazon e sfruttare gli innovativi servizi nativi di AWS. In questa sessione approfondiremo come, attraverso VMware Cloud on AWS, le aziende possono implementare i propri ambienti IT ibridi utilizzando le stesse tecnologie di VMware Cloud Foundation che apprezzano quotidianamente nei propri data center, senza dover acquistare prodotti hardware o software, riscrivere le applicazioni o modificare i propri modelli operativi.
Using AWS IoT for Industrial Applications - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how AWS IoT can be used for Industrial Applications including predictive quality, asset condition monitoring, and predictive maintenance
- Know how features of AWS IoT Core such as the rules engine, device shadow, and message broker are used for industrial applications
- Articulate how AWS IoT Analytics supports machine learning
Code in the Cloud- Deploy on Microcontroller and Edge DevicesAmazon Web Services
Level: Intermediate
In this session, you'll learn how to connect microcontroller-based embedded devices and extend AWS to your more powerful, IoT edge devices. We'll also show you how how to apply cloud programming to your devices to create powerful, end to end solutions. This session will cover the use of Amazon FreeRTOS, AWS Greengrass, AWS IoT Device Management, AWS IoT Analytics and Amazon Sagemaker.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
Enel, AWS, and Athonet: Connecting Millions of IoT Devices on Private LTE (TL...Amazon Web Services
The upcoming launch of unlicensed spectrums globally, including CBRS in the USA (and later MulteFire globally), sXGP in Japan, and LAA in France, opens up new opportunities for deployment of 5G-ready industrial-grade private LTE networks integrated for industrial IoT applications. Deploying a private LTE network requires key considerations of both localized and widely distributed networks for highly resilient, low-latency broadband and narrow band (LTE-M, NB-IoT) LTE communications. In this workshop, we dive deep into how Enel plans to integrate millions of devices across power plants and field devices to AWS IoT using a private LTE network from Athonet to realize a smart electricity enterprise. Enel is one of the world's largest electricity utilities, with a 30-million smart meter program in Italy that has underlying LTE connectivity through a private MVNO. Athonet is a market leader globally in private LTE, with over 100 dedicated LTE networks globally for industry, public safety, and digital use cases, providing the mobile core network for Enel's private MVNO.
IoT Building Blocks: From Edge Devices to Analytics in the Cloud - SRV204 - A...Amazon Web Services
In this session, we explore the features and functions of AWS IoT services. We first cover AWS IoT fundamentals and our AWS Partner Network (APN) ecosystem. Then we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and examine common architectural patterns. With this foundation in place, we explore a use case for IoT applications. You gain an understanding of how to start building IoT applications with AWS IoT.
In this workshop, you learn about the different components of AWS IoT Analytics. You have the opportunity to configure AWS IoT Analytics to ingest data from AWS IoT Core, enrich the data using AWS Lambda, visualize the data using Amazon QuickSight, and perform machine learning using Jupyter Notebooks. Join us, and build a solution that helps you perform analytics on appliance energy usage in a smart building and forecast energy utilization to optimize consumption.
IoT Building Blocks: From Edge Devices to Analytics in the Cloud - SRV204 - A...Amazon Web Services
In this session, we explore features and functions of AWS IoT services. First we will cover AWS IoT fundamentals, review best practices for IoT solutions, and look at some common architectural patterns. Then we will dive deep into AWS IoT Analytics. We will explain how AWS IoT Analytics runs sophisticated analytics on massive volumes of IoT data and helps operationalize analyses without requiring you to build an IoT analytics platform from the ground up. You will hear from TensorIoT, an AWS IoT Analytics partner, about how they are using AWS IoT Analytics. Leave this session with an understanding of how to start building IoT applications with AWS IoT.
AWS IoT services provide a managed cloud platform that lets connected devices interact with cloud applications and other devices easily and securely. In this session, we will discuss how constrained devices can leverage AWS IoT Core to send data to the cloud and receive commands back to the device using the protocol of their choice. AWS Greengrass is software that lets you run local compute, messaging and data caching for connected devices in a secure way. AWS IoT Device Management is a service that makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With AWS IoT Analytics, you can run sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build your own IoT analytics platform.
This session covers the most recent AWS IoT announcements at re:Invent. Learn about trends and use cases for the Internet of Things (IoT). Hear about how AWS customers are using AWS IoT to connect their devices to the cloud and solve business challenges with IoT.
본 실습은 AWS IoT Edge 구성 요소인 AWS IoT Greengrass를 이용하여 산업 현장에서 활용되는 표준 통신 프로토콜(OPC-UA)을 AWS IoT 호환 프로토콜로 변환 전처리하는 과정을 실습합니다. 이렇게 수집된 데이터는 AWS IoT Analytics 을 통해 분석 및 BI에 활용될 수 있으며, 본 실습에서는 Amazon Sage Maker를 활용하여 예지 정비 모델을 작성 및 배포하고, 추가적으로 Amazon QuickSight를 통한 시각화 구현을 목표로 합니다.
Internet of Things e Machine Learning: i principali casi d'usoAmazon Web Services
In questa sessione, approfondiremo i principali casi d'uso di organizzazioni e aziende che hanno reso l'Internet of Things e il Machine Learning elementi centrali delle proprie attività e processi quotidiani. Vedremo come queste aziende hanno ottenuto un maggior livello di efficienza operativa e produttività, analizzando ciascun caso d'uso in termini di: sfide aziendali, metriche per il successo, ritorno dell'investimento (ROI), risorse e competenze.
AWS IoT Analytics collects, processes, and analyzes IoT data quickly and easily so you can gain operational insights. To collect data and prepare it for analysis, you use Channels. Channels listen to devices and pull device messages into AWS IoT Analytics. Once messages are flowing, pipelines process messages and turn them into useful data using techniques like transforms and filters. Pipelines also enrich your IoT data with data from other AWS service and external data sources. After it's processed, data is stored in an IoT-optimized data store. Once data is ready to be analyzed, datasets are created by querying the data or by using built-in Jupyter notebook templates for sophisticated analytics, such as machine learning. AWS IoT Analytics integrates with Amazon SageMaker so you can build machine learning models, such as predictive analytics. Join us for a deep dive on these components.
IoT Building Blocks_ From Edge Devices to Analytics in the Cloud Amazon Web Services
In this session, we explore features and functions of AWS IoT services. We first cover AWS IoT fundamentals and our partner ecosystem. Then we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore a use case for IoT applications. Leave this session with an understanding of how to start building IoT applications with AWS IoT.
Accelerate AI/ML Adoption with Intel Processors and C3IoT on AWS (AIM386-S) -...Amazon Web Services
Today, 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 Maintenance. In addition, a customer shares how these solutions helped achieve demonstrable value. This session is brought to you by AWS partner, Intel.
Master the Multi-Clustered Data Warehouse - SnowflakeMatillion
Snowflake is one of the most powerful, efficient data warehouses on the market today—and we joined forces with the Snowflake team to show you how it works!
In this webinar:
- Learn how to optimize Snowflake
- Hear insider tips and tricks on how to improve performance
- Get expert insights from Craig Collier, Technical Architect from Snowflake, and Kalyan Arangam, Solution Architect from Matillion
- Find out how leading brands like Converse, Duo Security, and Pets at Home use Snowflake and Matillion ETL to make data-driven decisions
- Discover how Matillion ETL and Snowflake work together to modernize your data world
- Learn how to utilize the impressive scalability of Snowflake and Matillion
SRV304 IoT Building Blocks From Edge Devices to Analytics in the Cloud Amazon Web Services
AWS IoT is a set of fully managed services spanning the edge to the cloud that enables you to sense and act locally on devices, store data and manage devices in the cloud, and perform sophisticated analytics to derive useful insights. In this session, we explore features and functions of AWS IoT services. First, we cover AWS IoT fundamentals and our partner ecosystem. Next, we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore a use case for IoT in industrial applications. You leave this session with an understanding of how to start building IoT applications with AWS IoT.
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.
37. “With public safety as a key initiative for my
office, we engaged with Verizon to build an
emergency vehicle route optimization
system that leverages AWS IoT Analytics to
reduce the time to scene for our emergency
services vehicles. This is just one of many
examples in which we can use technologies,
like AWS IoT Analytics and others, to
improve the lives of the citizens of the City
of San Jose.”
Mayor Sam Liccardo
City of San Jose, CA
46. “Using real-world data
from in-service batteries,
we’ve developed a model
in the cloud that detects a
failure months earlier
than we can today.” Toby Schulz
CTO, Vantage Power