Amazon Alexa is a voice assistant developed by Amazon that operates on various Amazon devices like the Echo Dot. The document then lists the most common problems with Alexa devices such as Alexa not responding, music playing on the wrong device, streaming issues, Wi-Fi connection issues, issues with Alexa calling, and Bluetooth connection issues. It provides troubleshooting steps for each problem such as restarting devices, checking passwords and connections, reducing Wi-Fi congestion, and repairing or re-pairing Bluetooth devices.
AWS re:Invent 2016: Building a Smarter Home with Alexa(ALX303)Amazon Web Services
Natural user interfaces, such as those based on speech, enable customers to interact with their home in a more intuitive way. With the VUI (Voice User Interface) smart home, now customers don't need to use their hands or eyes to do things around the home — they only have to ask and it's at their command. This session will address the vision for the VUI smart home and how innovations with Amazon Alexa make it possible.
AWS re:Invent 2016: From VUI to QA: Building a Voice-Based Adventure Game for...Amazon Web Services
Hitting the submit button to publish your skill is similar to sending your child to their first day of school. You want it to be set up for a successful launch day and for many days thereafter. Learn how to set your skill up for success from Andy Huntwork, Alexa Principal Engineer and one of the creators of the popular Alexa skill "The Magic Door." You will learn the most common reasons why skills fail and also some of the more unique use cases. The purpose of this session is to help you build better skills by knowing what to look out for and what you can test for before submitting. In this session, you will learn what most developers do wrong, how to successfully test and QA your skill, how to set your skill up for successful certification, and the process of how a skill gets certified.
Getting Started with Amazon Alexa on the Raspberry PiAyumi Kobukata
This document provides an overview of Amazon Alexa and how to set it up on a Raspberry Pi. It discusses what Alexa is, its growth and popularity, and its architecture. It then explains how to run a sample Alexa app on a Raspberry Pi, including the necessary hardware, registration process, and installing the Alexa Voice Service SDK. Finally, it demonstrates how to create an interactive buzzer quiz game using Alexa skills, electronic buttons, and a Raspberry Pi.
This dataset consists of a nearly 3000 Amazon customer reviews (input text), and 5 variables which are star ratings, date of review, variant, verified reviews and feedback of various Amazon Alexa products like Alexa Echo, Echo dots, Alexa Firesticks etc.
Enabling New Voice Experiences with Amazon Alexa and AWS LambdaAmazon Web Services
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get demonstration of an Amazon Echo device, the Alexa Skills Kit and AWS Lambda, with live coding session. You will also learn how test your Lambda function on your local machine before to deploy to the cloud.
This document lists categories of voice commands for Alexa including power, channel, input, playback, and volume functions. Power commands turn devices on and off. Channel commands change the channel or move up/down channels. Input commands switch between inputs like HDMI or Xbox. Playback commands control playback like fast forward or pause. Volume commands adjust the volume up or down by increments, to a specific level, or mute/unmute the device.
Amazon Alexa is a voice assistant developed by Amazon that operates on various Amazon devices like the Echo Dot. The document then lists the most common problems with Alexa devices such as Alexa not responding, music playing on the wrong device, streaming issues, Wi-Fi connection issues, issues with Alexa calling, and Bluetooth connection issues. It provides troubleshooting steps for each problem such as restarting devices, checking passwords and connections, reducing Wi-Fi congestion, and repairing or re-pairing Bluetooth devices.
AWS re:Invent 2016: Building a Smarter Home with Alexa(ALX303)Amazon Web Services
Natural user interfaces, such as those based on speech, enable customers to interact with their home in a more intuitive way. With the VUI (Voice User Interface) smart home, now customers don't need to use their hands or eyes to do things around the home — they only have to ask and it's at their command. This session will address the vision for the VUI smart home and how innovations with Amazon Alexa make it possible.
AWS re:Invent 2016: From VUI to QA: Building a Voice-Based Adventure Game for...Amazon Web Services
Hitting the submit button to publish your skill is similar to sending your child to their first day of school. You want it to be set up for a successful launch day and for many days thereafter. Learn how to set your skill up for success from Andy Huntwork, Alexa Principal Engineer and one of the creators of the popular Alexa skill "The Magic Door." You will learn the most common reasons why skills fail and also some of the more unique use cases. The purpose of this session is to help you build better skills by knowing what to look out for and what you can test for before submitting. In this session, you will learn what most developers do wrong, how to successfully test and QA your skill, how to set your skill up for successful certification, and the process of how a skill gets certified.
Getting Started with Amazon Alexa on the Raspberry PiAyumi Kobukata
This document provides an overview of Amazon Alexa and how to set it up on a Raspberry Pi. It discusses what Alexa is, its growth and popularity, and its architecture. It then explains how to run a sample Alexa app on a Raspberry Pi, including the necessary hardware, registration process, and installing the Alexa Voice Service SDK. Finally, it demonstrates how to create an interactive buzzer quiz game using Alexa skills, electronic buttons, and a Raspberry Pi.
This dataset consists of a nearly 3000 Amazon customer reviews (input text), and 5 variables which are star ratings, date of review, variant, verified reviews and feedback of various Amazon Alexa products like Alexa Echo, Echo dots, Alexa Firesticks etc.
Enabling New Voice Experiences with Amazon Alexa and AWS LambdaAmazon Web Services
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get demonstration of an Amazon Echo device, the Alexa Skills Kit and AWS Lambda, with live coding session. You will also learn how test your Lambda function on your local machine before to deploy to the cloud.
This document lists categories of voice commands for Alexa including power, channel, input, playback, and volume functions. Power commands turn devices on and off. Channel commands change the channel or move up/down channels. Input commands switch between inputs like HDMI or Xbox. Playback commands control playback like fast forward or pause. Volume commands adjust the volume up or down by increments, to a specific level, or mute/unmute the device.
VeMote is an Alexa skill that allows users to control their TV with voice commands through Alexa, providing a more convenient alternative to physical remote controls. It demonstrates voice control of basic TV functions like changing channels and adjusting volume. User testing found satisfaction with voice control of volume but desire for easier navigation controls and presets. The product aims to integrate existing Alexa and TV technologies to allow seamless voice-powered TV viewing.
Alexa can be customized and integrated in several ways. You can add skills to Alexa using the Alexa Skills Kit to add new capabilities. The Alexa Voice Service allows direct integration of Alexa into other devices. Alexa can also be added to smart home devices and custom gadgets to enable voice control through Raspberry Pi with libraries like Snowboy for hotword detection.
The document discusses Alexa Skills Kit (ASK) and how to build skills for Alexa. It describes that ASK provides APIs, tools, documentation and code samples to build skills. Skills can be used to order food, get transportation, control smart devices, check accounts and more. There are three main types of skills: custom skills, smart home skills, and flash briefing skills. Custom skills have a customizable interaction model while smart home skills control devices and flash briefing skills add content to flash briefings. The document provides examples of how skills work and guides users through setting up and testing their own skills.
David Isbitski - Enabling new voice experiences with Amazon Alexa and AWS LambdaWithTheBest
Alexa, the voice service that powers Amazon Echo and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more.
We will also be taking a quick look at how the healthcare industry is integrating with the Alexa Skills Kit for new use cases. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command.
This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get hands on experience with an Amazon Echo device, the Alexa Skills Kit and AWS Lambda. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using both the Alexa Service Simulator, AWS Lambda Unit Tests and an Amazon Echo device.
David Isbitski
Alexa, the voice service that powers Amazon Echo, Echo Dot, Amazon Tap and Amazon Fire TV provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. Customers can then access these new skills simply by asking Alexa a question or making a command. This session will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using AWS Lambda Unit Tests and the Alexa Voice and Service Simulators.
The document discusses the growth of intelligent voice assistants like Alexa and their capabilities. It explains that the Alexa Skills Kit (ASK) allows developers to create skills for Alexa using APIs, tools and documentation. It also describes how Alexa uses natural language processing and sends recordings to Amazon servers for analysis to understand user requests.
The document discusses the future of voice interfaces and virtual personal assistants. It outlines several major platforms including Siri, Google Now, Cortana, and Alexa. Alexa in particular is positioned as the most open platform and can be integrated into various devices through the Alexa Skills Kit and Alexa Voice Service. While voice interfaces are not meant to replace all physical inputs, they are well-suited for tasks like controlling smart home devices or ordering food through natural language commands. Developers are encouraged to rethink interface design for voice.
Amazon Lex is a cloud-based service that allows developers to build conversational interfaces into any application using voice and text. It is the underlying platform that powers Alexa and allows third parties to create "skills" that add functionality. Lex differs from Alexa in that it is not a consumer product itself, but a platform that can be integrated in various ways through SDKs and APIs. The document provides an overview of Lex and how it compares to Alexa, demonstrating how to build a basic bot and connect Lex to a phone number using the Nexmo API.
The document discusses 10 potential use cases for the Amazon Echo in an office setting. These include ordering supplies with a voice command, using IFTTT to connect services not natively supported by Echo, managing to-do lists, translating sentences into other languages, playing ambient music, controlling connected vacuums and booking rides with Lyft or Uber. Other uses are interacting with HipChat via voice, tracking car data with Automatic, and using the Skill Finder to discover new skills.
This document provides an overview of Amazon Alexa and how it works. It discusses that Alexa is an intelligent personal assistant developed by Amazon that allows for voice interaction, music playback, to-do lists, alarms, audiobooks, and information queries. It can also control smart home devices. The document then explains how Alexa skills are developed using the Alexa Skills Kit and Alexa Voice Service, including defining intents and slots. It provides examples of intent utterances and discusses Amazon Web Services and containers being used to power Alexa's capabilities.
Valentyn Buleiko “Shedding light on the possibilities of voice assistants by ...Lviv Startup Club
Alexa is a cloud-based voice service from Amazon that powers devices like the Amazon Echo. It allows users to ask questions and get instant responses. Alexa skills add new capabilities and allow for personalized experiences by letting users do things like get flash briefings, order food, track fitness, and play games or videos. There are different types of skills like custom skills that can look up information, smart home skills that control devices like lights and TVs, and video skills. Developers can code skills using the Alexa skill SDK and specify request and response types. Amazon has also introduced Alexa for Business to allow skills in workplace settings across devices and locations.
The document describes the process of building an Alexa skill called Boston Rail that provides real-time information on commuter rail status in Boston using data from the MBTA API. Key steps included defining requirements, designing the skill architecture, developing the backend Lambda function, configuring the interaction model, testing, and preparing the skill for certification and publication.
This document provides instructions for building a DIY Amazon Echo using a Raspberry Pi by connecting it to the Amazon Alexa Voice Service. It discusses what the Amazon Echo is, how the Alexa Voice Service works, and then provides step-by-step instructions for setting up the necessary developer account and security profile, cloning the Alexa sample app code, configuring the app with custom credentials, running the installation script and various processes to enable voice control of the Pi. Examples of custom skills and controlling additional IoT devices are also briefly mentioned.
Voice is the New Keyboard - Voice Interfaces in 2018 and BeyondKeanan Koppenhaver
The document discusses how voice interfaces will become more prominent and discusses three ways to integrate voice capabilities into websites. Part 1 explains how to convert website content into audio using Amazon Polly. Part 2 discusses connecting websites to voice assistants using skills templates or custom skills. Part 3 provides an example of building a custom voice skill for Google Home using Firebase Functions and custom WordPress and WooCommerce APIs.
Vemote is an Alexa skill that allows users to control their TV with voice commands through Alexa, providing a more convenient alternative to physical remotes that are often misplaced. The product targets avid Alexa users who watch TV and entertain friends but find physical remotes inconvenient due to frequently being misplaced. It aims to provide a seamless voice-activated remote control system to make TV control and watching TV with friends a more hassle-free experience.
Hacking your coffee maker; building a connected appliance with Netduino and X...bryan costanich
Netduino is back! Watch Bryan Costanich (formerly of Xamarin) as he walks through hacking a coffee maker into a connected appliance using Netduino and Xamarin. Netduino, recently acquired and relaunched by Wilderness Labs (www.wildernesslabs.co) is getting a new life as a brain for connected things developers that want to be able to use .NET to build connected IOT hardware.
AWS re:Invent 2016: Workshop: Build an Alexa-Enabled Product with Raspberry P...Amazon Web Services
Fascinated by Alexa, and want to build your own device with Alexa built in? This workshop will walk you through to how to build your first Alexa-powered device step by step, using a Raspberry Pi. No experience with Raspberry Pi or Alexa Voice Service is required. We will provide you with the hardware and the software required to build this project, and at the end of the workshop, you will be able to walk out with a working prototype of Alexa on a Pi.
Please bring a WiFi capable laptop.
AWS re:Invent 2016: Voice-enabling Your Home and Devices with Amazon Alexa an...Amazon Web Services
Want to learn how to Alexa-power your home? Join Brookfield Residential CIO and EVP Tom Wynnyk and Senior Solutions Architect Nathan Grice, for Alexa Smart Home for an overview of building the next generation of integrated smart homes using Alexa to create voice-first experiences. Understand the technologies used and how to best expose voice experiences to users through Alexa. Paul and Nathan cover the difference between custom Alexa skills and Smart Home Skill API skills, and build a home automation control from the ground up using Alexa and AWS IoT.
VeMote is an Alexa skill that allows users to control their TV with voice commands through Alexa, providing a more convenient alternative to physical remote controls. It demonstrates voice control of basic TV functions like changing channels and adjusting volume. User testing found satisfaction with voice control of volume but desire for easier navigation controls and presets. The product aims to integrate existing Alexa and TV technologies to allow seamless voice-powered TV viewing.
Alexa can be customized and integrated in several ways. You can add skills to Alexa using the Alexa Skills Kit to add new capabilities. The Alexa Voice Service allows direct integration of Alexa into other devices. Alexa can also be added to smart home devices and custom gadgets to enable voice control through Raspberry Pi with libraries like Snowboy for hotword detection.
The document discusses Alexa Skills Kit (ASK) and how to build skills for Alexa. It describes that ASK provides APIs, tools, documentation and code samples to build skills. Skills can be used to order food, get transportation, control smart devices, check accounts and more. There are three main types of skills: custom skills, smart home skills, and flash briefing skills. Custom skills have a customizable interaction model while smart home skills control devices and flash briefing skills add content to flash briefings. The document provides examples of how skills work and guides users through setting up and testing their own skills.
David Isbitski - Enabling new voice experiences with Amazon Alexa and AWS LambdaWithTheBest
Alexa, the voice service that powers Amazon Echo and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more.
We will also be taking a quick look at how the healthcare industry is integrating with the Alexa Skills Kit for new use cases. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command.
This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get hands on experience with an Amazon Echo device, the Alexa Skills Kit and AWS Lambda. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using both the Alexa Service Simulator, AWS Lambda Unit Tests and an Amazon Echo device.
David Isbitski
Alexa, the voice service that powers Amazon Echo, Echo Dot, Amazon Tap and Amazon Fire TV provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. Customers can then access these new skills simply by asking Alexa a question or making a command. This session will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using AWS Lambda Unit Tests and the Alexa Voice and Service Simulators.
The document discusses the growth of intelligent voice assistants like Alexa and their capabilities. It explains that the Alexa Skills Kit (ASK) allows developers to create skills for Alexa using APIs, tools and documentation. It also describes how Alexa uses natural language processing and sends recordings to Amazon servers for analysis to understand user requests.
The document discusses the future of voice interfaces and virtual personal assistants. It outlines several major platforms including Siri, Google Now, Cortana, and Alexa. Alexa in particular is positioned as the most open platform and can be integrated into various devices through the Alexa Skills Kit and Alexa Voice Service. While voice interfaces are not meant to replace all physical inputs, they are well-suited for tasks like controlling smart home devices or ordering food through natural language commands. Developers are encouraged to rethink interface design for voice.
Amazon Lex is a cloud-based service that allows developers to build conversational interfaces into any application using voice and text. It is the underlying platform that powers Alexa and allows third parties to create "skills" that add functionality. Lex differs from Alexa in that it is not a consumer product itself, but a platform that can be integrated in various ways through SDKs and APIs. The document provides an overview of Lex and how it compares to Alexa, demonstrating how to build a basic bot and connect Lex to a phone number using the Nexmo API.
The document discusses 10 potential use cases for the Amazon Echo in an office setting. These include ordering supplies with a voice command, using IFTTT to connect services not natively supported by Echo, managing to-do lists, translating sentences into other languages, playing ambient music, controlling connected vacuums and booking rides with Lyft or Uber. Other uses are interacting with HipChat via voice, tracking car data with Automatic, and using the Skill Finder to discover new skills.
This document provides an overview of Amazon Alexa and how it works. It discusses that Alexa is an intelligent personal assistant developed by Amazon that allows for voice interaction, music playback, to-do lists, alarms, audiobooks, and information queries. It can also control smart home devices. The document then explains how Alexa skills are developed using the Alexa Skills Kit and Alexa Voice Service, including defining intents and slots. It provides examples of intent utterances and discusses Amazon Web Services and containers being used to power Alexa's capabilities.
Valentyn Buleiko “Shedding light on the possibilities of voice assistants by ...Lviv Startup Club
Alexa is a cloud-based voice service from Amazon that powers devices like the Amazon Echo. It allows users to ask questions and get instant responses. Alexa skills add new capabilities and allow for personalized experiences by letting users do things like get flash briefings, order food, track fitness, and play games or videos. There are different types of skills like custom skills that can look up information, smart home skills that control devices like lights and TVs, and video skills. Developers can code skills using the Alexa skill SDK and specify request and response types. Amazon has also introduced Alexa for Business to allow skills in workplace settings across devices and locations.
The document describes the process of building an Alexa skill called Boston Rail that provides real-time information on commuter rail status in Boston using data from the MBTA API. Key steps included defining requirements, designing the skill architecture, developing the backend Lambda function, configuring the interaction model, testing, and preparing the skill for certification and publication.
This document provides instructions for building a DIY Amazon Echo using a Raspberry Pi by connecting it to the Amazon Alexa Voice Service. It discusses what the Amazon Echo is, how the Alexa Voice Service works, and then provides step-by-step instructions for setting up the necessary developer account and security profile, cloning the Alexa sample app code, configuring the app with custom credentials, running the installation script and various processes to enable voice control of the Pi. Examples of custom skills and controlling additional IoT devices are also briefly mentioned.
Voice is the New Keyboard - Voice Interfaces in 2018 and BeyondKeanan Koppenhaver
The document discusses how voice interfaces will become more prominent and discusses three ways to integrate voice capabilities into websites. Part 1 explains how to convert website content into audio using Amazon Polly. Part 2 discusses connecting websites to voice assistants using skills templates or custom skills. Part 3 provides an example of building a custom voice skill for Google Home using Firebase Functions and custom WordPress and WooCommerce APIs.
Vemote is an Alexa skill that allows users to control their TV with voice commands through Alexa, providing a more convenient alternative to physical remotes that are often misplaced. The product targets avid Alexa users who watch TV and entertain friends but find physical remotes inconvenient due to frequently being misplaced. It aims to provide a seamless voice-activated remote control system to make TV control and watching TV with friends a more hassle-free experience.
Hacking your coffee maker; building a connected appliance with Netduino and X...bryan costanich
Netduino is back! Watch Bryan Costanich (formerly of Xamarin) as he walks through hacking a coffee maker into a connected appliance using Netduino and Xamarin. Netduino, recently acquired and relaunched by Wilderness Labs (www.wildernesslabs.co) is getting a new life as a brain for connected things developers that want to be able to use .NET to build connected IOT hardware.
AWS re:Invent 2016: Workshop: Build an Alexa-Enabled Product with Raspberry P...Amazon Web Services
Fascinated by Alexa, and want to build your own device with Alexa built in? This workshop will walk you through to how to build your first Alexa-powered device step by step, using a Raspberry Pi. No experience with Raspberry Pi or Alexa Voice Service is required. We will provide you with the hardware and the software required to build this project, and at the end of the workshop, you will be able to walk out with a working prototype of Alexa on a Pi.
Please bring a WiFi capable laptop.
AWS re:Invent 2016: Voice-enabling Your Home and Devices with Amazon Alexa an...Amazon Web Services
Want to learn how to Alexa-power your home? Join Brookfield Residential CIO and EVP Tom Wynnyk and Senior Solutions Architect Nathan Grice, for Alexa Smart Home for an overview of building the next generation of integrated smart homes using Alexa to create voice-first experiences. Understand the technologies used and how to best expose voice experiences to users through Alexa. Paul and Nathan cover the difference between custom Alexa skills and Smart Home Skill API skills, and build a home automation control from the ground up using Alexa and AWS IoT.
The document discusses building skills for Alexa using the Alexa Skills Kit and Azure web APIs. It provides an overview of different types of Alexa skills such as flash briefing skills, smart home skills, and custom skills. It also discusses the components involved in building a custom skill like intents, utterances, invocation names, cloud services, and visual components. The document emphasizes keeping skills short, building efficient code, adhering to voice design principles, and having fun developing for voice.
This document discusses how to control WiFi and air conditioners using intelligent speakers like Amazon Echo and Google Home. It explains that Echo and Google Home can control smart home devices and air conditioners using voice commands to turn them on/off and adjust the temperature and mode. It provides step-by-step instructions for setting up and linking various air conditioner apps and skills to the speakers to enable voice control of the air conditioners.
The environment for creating a skill for a smart assistant, as Google Home and Alexa.
From the user input to parsing the meaning of the utterances to intents.
This document summarizes an Amazon Alexa workshop at WebSummit. Attendees are instructed to open developer and AWS accounts and check in at a URL. The workshop will be led by Andrea Muttoni, an Amazon Alexa evangelist.
Smart Speakers, Digital Assistants, AI, and Home Automationmsz
This document discusses smart speakers, digital assistants, AI, and home automation. It covers various smart speaker manufacturers including Amazon, Apple, and Google. It discusses features of smart speakers like playing music, setting timers and reminders, making calls and broadcasts between devices. It also covers some annoyances with smart speakers like issues pairing older models for stereo sound and vague error messages. The document provides an overview of innovations in AI from OpenAI between 2015-2022 including models like GPT, DALL-E, and ChatGPT. It also briefly discusses new AI services from Microsoft and Google including Bing Image Creator and Bard.
This document discusses how to create an Alexa smart home skill. It describes the different types of Alexa skills - custom interaction model skills, smart home skills, and flash briefing skills. It focuses on smart home skills, which allow users to control smart home devices using natural language. The key steps to creating a smart home skill are to create a Login with Amazon profile, register the smart home skill, and create a Lambda function. It provides examples of the requests and responses involved in discovering devices and controlling them, such as turn on/off requests. It also discusses error responses and demonstrates the skill.
The most common way to start developing for Alexa is with custom skills while not too many of us except for device manufacturers get in touch with Smart Home skills on Alexa. This session introduces and demonstrates the power of Smart Home skills and it takes a look behind the technical scene of what happens in between an “Alexa, turn on the lights” and Alexa´s final “Ok” confirmation. Once you are familiar with the concept of Smart Home skills you will find out that it’s not just for implementing large-scale Smart Home solutions as the Smart Home API is also a great playground for your next Do it Yourself project. At the end of this session you’ve learned about the probably simplest way to build a Smart Home project with Raspberry Pi and AWS IoT – and you will be equipped with essential knowledge on how to build your own voice-controlled “thing”.
DIY Ceiling Fan Automation at Hackware 3.0Hon Cheng Muh
Shared about my first hardware project at Hackware 3.0
https://hackernoon.com/diy-home-automation-fan-control-with-raspberry-pi-3-rf-transmitter-and-homebridge-59ad24845770
Voice control and voice command for smart home solutions - Alexandre Rieupey...Alexandre Rieupeyrout
Several major companies are developing voice control for smart home devices, including Apple, Amazon, Interactive Voice, Athom, UCIC, and Honeywell. They are creating standalone voice assistant devices, integrating voice control into existing smart home hubs and platforms, and providing APIs for third party integration. This allows users to control smart home devices and functions like lights, locks, and thermostats using voice commands to their assistants and devices.
This document discusses intelligent speakers like the Amazon Echo and its virtual assistant Alexa. It begins with an introduction to Alexa and how it powers skills that allow users to interact with devices using voice commands. It then explains how the Amazon Echo works and the growth of voice-controlled systems. It discusses the Alexa Skills Kit (ASK) that allows developers to build skills for Alexa. It covers different types of Alexa skills like smart home, custom, and flash briefing skills. It provides examples of voice commands and applications of Alexa before discussing competitors and concluding with the benefits of voice control technology.
Using Alexa, IFTTT and Watson IoT Platform to control ble devicesMarkus Van Kempen
This document discusses how to connect smart home devices like PlayBulb to voice assistants using IFTTT and Watson IoT Platform. Devices can publish events to WIoTP which then trigger IFTTT recipes. IFTTT uses webhooks to send commands to devices or trigger Alexa/Google Home. Node-RED flows show how commands from voice assistants can control devices via WIoTP, IFTTT, and MQTT. References provide code and recipes for setting up the connections.
Discussed in detail about how to design and develop custom skills (think custom apps) for Amazon Alexa Voice service.
Discusses how to design voice based experiences in detail.
Building Voice Controls and Integrating with Automation Actions on an IoT Net...Intel® Software
Voice recognition is a natural method that people can use to interact with and automate smart devices. In this session, we build a microservice for automation of IoT using local fog computing resources and cloud-based serverless functions. We also create a voice-enabled chatbot that triggers automatic actions on an IoT network.
In this hands-on workshop, learn how to build voice-enabled devices with the Alexa Voice Service (AVS), Amazon’s intelligent voice recognition and natural language understanding service. Key topics include: a technology overview, AVS development tools for commercial developers, tips for prototyping with AVS, how to build a robust C++ client using the AVS Device SDK, and how to test your AVS device. Expect to understand the process for bringing hands-free voice services to any connected device and walk out with a working prototype of an Alexa-enabled device on a Raspberry Pi.
This document provides an overview of a student's project on designing an IoT-based system under the guidance of faculty. The student studied various microcontrollers including 8051, Arduino, ESP8266 and ESP32. They completed several projects including a traffic light control system using 8051 and environmental monitoring systems using Arduino and ESP32. They are currently working on a project to control home appliances using artificial intelligence and a chatbot integrated with Facebook Messenger. The document outlines the work done on various components and discusses the results and learning experience.
Voice Assistants Beyond Smart Speakers - Integrate Alexa into Your Unique Pro...Amazon Web Services
Join us for a deep dive into the system architecture for voice-enabled products with "Alexa Built-In". Device makers can use the Alexa Voice Service (AVS) to add conversational AI to a variety of products from smart speakers to headphones, screen-based devices to smarthome, and more. Learn how to choose the right hardware and software tools, ensure great customer experience with test and certification guidelines, and leverage qualified solution providers to get your products to market faster.
ITB2019 Easily Build Amazon Alexa skills with ColdFusion - Mike CallahanOrtus Solutions, Corp
Code Examples: https://github.com/mikecallahan/cfalexa
Learn how super simple it can be to create custom "Skills" with ColdFusion to use on Amazon Alexa devices. Walk away with an understanding of how Alexa voice technology works and, most importantly, how you can utilize ColdFusion to easily build your own custom skills. This session will cover everything from using CommandBox to initiate your development using a ForgeBox package to consuming utterances, intents and slots and creating custom voice responses that engage and interact with your user. Learn how to use the Amazon Developer portal in conjunction with ColdFusion to rapidly build your own custom Alexa skills. At the end of the session you will walk away with everything you will need including a ColdFusion framework and template to immediately get started. Voice technology is the future and ColdFusion is the tool that can deliver rapid results. Join this session to see just how super easy it can be.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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* Step-by-step implementation guide
* Live demos with code snippets
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
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Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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2. This is the basic hardware
setup. Raspberry Pi 3 with a
USB Microphone, speakers.
HDMI connection,
keyboard/mouse are not
shown for simplicity.
A beaglebone black with an
LED connected on a GPIO.
Both boards connected to
Internet.
Internet
Internet
3. We also need accounts on
Amazon developer, Heroku
and PubNub.
Amazon hosts Alexa voice
service and our skill.
Heroku hosts our skill
adapter code.
PubNub is used for message
passing from skill adapter to
beaglebone.
Skill adapter code
as web service
Publish /
Subscribe
architecture
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
4. Subscribed to PubNub
channel ‘alexa_world’
Skill adapter code
as web service
Publish /
Subscribe
architecture
Running Alexa app
with wakeword agent
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
Run the Alexa app on
Raspberry Pi.
Run the PubNub subscribing
and GPIO controller code on
beaglebone.
5. Alexa app is continuously
listening for the keyword
‘Alexa’. When user speaks
the keyword, the app listens
to the voice until a pause. In
this case it is the sentence
‘Alexa, ask my home to turn
on bedroom light’.
•Alexa voice service
•Alexa Skill (‘My home’)
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
6. Alexa app sends the audio to
Alexa voice service running
in Amazon cloud
(developer.amazon.com)
along with device
authentication details and
other metadata.
Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
7. In this case, the intent is
to ‘turn on’ something and
the slot is ‘bedroom light’.
This data is then passed on
to Heroku web service
endpoint running skill
adapter code.
Alexa voice service
interprets the voice and
determines that this is a
request for the skill ‘My
home’. It then further
decodes the voice data and
parses it into an intent
(action to be done)
and slot (object to be
acted upon).
Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Parsed data to Skill adapter
Intent: “Turn on”
Slot: “Bedroom light”
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
8. Skill adapter code processes
the intent and publishes a
message to PubNub network
on channel named
‘alexa_world’. This message
contains command as
‘TURN_ON’ and gadget as
‘bedroom light’.
Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Parsed data to Skill adapter
Intent: “Turn on”
Slot: “Bedroom light”
Publish message to
channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
9. Skill adapter also sends an
ACK to voice service which is
passed back to the alexa app
running on pi. This can
contain a voice feedback
such as “Ok”
Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Parsed data to Skill adapter
Intent: “Turn on”
Slot: “Bedroom light”
Publish message to
channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
“Ok”
(Voice
feedback)
ACK from
skill adapter
(with voice
feedback)
10. PubNub network sends out
the same message to all
devices subscribed to
channel ‘alexa_world’. In this
case, the beaglebone is
subscribed to this channel
and hence receives the
message.
Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Parsed data to Skill adapter
Intent: “Turn on”
Slot: “Bedroom light”
Publish message to
channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Send message to subscribers
of channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
ACK from
skill adapter
(with voice
feedback)
11. Audio
Skill adapter code
as web service
Publish /
Subscribe
architecture
Alexa, ask
My Home
to turn on
bedroom
light
Parsed data to Skill adapter
Intent: “Turn on”
Slot: “Bedroom light”
Publish message to
channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Send message to subscribers
of channel ‘alexa_world’:
Command: “TURN_ON”
Gadget: “bedroom light”
Running Alexa app
with wakeword agent
Subscribed to PubNub
channel ‘alexa_world’
Internet
Internet
•Alexa voice service
•Alexa Skill (‘My home’)
Beaglebone then processes
received message and turns
on the GPIO corresponding
to ‘bedroom light’.
ACK from
skill adapter
(with voice
feedback)
Editor's Notes
This is the basic hardware setup needed. Raspberry Pi 3 with a USB Microphone, speakers. HDMI connection, keyboard/mouse are not shown for simplicity.
A beaglebone black with an LED connected on a GPIO. Both boards connected to Internet.
We also need accounts on Amazon developer site, Heroku and PubNub.
Amazon hosts the Alexa voice service and our skill.
Heroku hosts the skill adapter code.
PubNub is used for message passing between skill adapter and beaglebone.
Run the Alexa app on Raspberry Pi.
Run the PubNub subscribing and GPIO controller code on beaglebone.
Alexa app is continuously looking for the keyword ‘Alexa’.
When the user speaks with the keyword, the app listens to the voice until a pause. In this case it is the sentence ‘Alexa, ask my home to turn on bedroom light’.
Alexa app sends the audio to Alexa voice service running in Amazon cloud (developer.amazon.com) along with device authentication details and other metadata required.
Alexa voice service interprets the voice and finds out that this is a voice data meant for the skill ‘My home’. It then further decodes the voice data and parses it into an intent (action to be done) and a slot (object to be acted upon). In this case, the intent is to ‘turn on’ something and the slot is ‘bedroom light’. This data is then passed on to and Heroku endpoint running the skill adapter code called as Lambda function.
The adapter Lambda function processes this intent and publishes a message to the PubNub network on a particular channel named ‘alexa_world’. This message contains data with the command as ‘TURN_ON’ and gadget as ‘bedroom light’.
Simultaneously the skill adapter also sends back an acknowledgment to the voice service which is passed on back to the alexa app running on pi. This ack contains a voice feedback such as “Ok” which the user hears from speakers.
PubNub network then sends out the same message to all devices who are subscribed to channel ‘alexa_world’. In this case, the beaglebone is subscribed to this channel and hence receives the message.
Beaglebone then processes received message and turns on the GPIO corresponding to ‘bedroom light’.