The document discusses Alexa skills and the Alexa skills kit. It covers building skills with Node.js using the Alexa skills kit SDK and AWS Lambda. It also describes setting up an Amazon developer account and AWS account to build Alexa skills. Finally, it outlines sections for a "My Assistant" Alexa skill project, including creating basic skills, handling intents, complex conversations, database storage, state management, and account linking.
Alexa-An intelligent voice-controlled personal assistant by AMAZONAnusha Deva
A presentation about Alexa which is an intelligent voice enable personal assistant by AMAZON.further it tells about amazon skill set and companion app.Also shows the general architecture of Alexa when used with AMAZON ECHO.The ppt also gives a sample algorithm and ecosystem to make the understanding of the topic better.
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. Application developers are also able to create custom applications and skills that can be published in the Alexa App Store for consumers to use. Some examples of these today include Uber, Spotify and Domino’s Pizza.This session will advise on why voice is a relevant additional user engagement model for businesses, what a good VUI (Voice User Interface) sounds like, and also demonstrate how simple it is to build custom Alexa applications by utilising the hosted Alexa Voice service and the AWS cloud.
Virtual assistant with Amazon Alexa Virtual Assistant. Amazon Alexa is a virtual assistant developed by Amazon, first used in the Amazon Echo and the Amazon Echo Dot smart speakers developed by Amazon Lab126.
Alexa-An intelligent voice-controlled personal assistant by AMAZONAnusha Deva
A presentation about Alexa which is an intelligent voice enable personal assistant by AMAZON.further it tells about amazon skill set and companion app.Also shows the general architecture of Alexa when used with AMAZON ECHO.The ppt also gives a sample algorithm and ecosystem to make the understanding of the topic better.
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. Application developers are also able to create custom applications and skills that can be published in the Alexa App Store for consumers to use. Some examples of these today include Uber, Spotify and Domino’s Pizza.This session will advise on why voice is a relevant additional user engagement model for businesses, what a good VUI (Voice User Interface) sounds like, and also demonstrate how simple it is to build custom Alexa applications by utilising the hosted Alexa Voice service and the AWS cloud.
Virtual assistant with Amazon Alexa Virtual Assistant. Amazon Alexa is a virtual assistant developed by Amazon, first used in the Amazon Echo and the Amazon Echo Dot smart speakers developed by Amazon Lab126.
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.
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.
AWS Community Day Copenhagen 19.02.2019. - Alexa skill development
Alexa is the speech and personal assistant technology that powers Amazon Echo. It can be used to listen music, check weather and traffic, answer questions, control household devices and much more. In this talk you’ll get a hands-on introduction to Amazon Alexa and its ecosystem, and you’ll learn how to build Alexa skill from scratch. You'll also get introduction to the SSML (Speech Synthesis Markup Language). Target audience for this talk are developers who would like to extend their knowledge in order to be able to develop and publish skills for Alexa.
Presentation on VOICE ENABLED TECHNOLOGY: ALEXA
(Virtual assistant AI technology developed by Amazon)
CONTEXT
➜ COMPUTING EVOLUTION
➜ WHY ALEXA?
➜ GLOBAL SMART SPEAKER SALES Q3 2019
➜ WHAT CAN IT DO?
➜ TYPES OF SKILLS
➜ QUERIES ARE 40X LIKELY TO BE AN ALEXA SKILL
➜ INTERACTION MODEL
➜ SPEECH SYNTHESIS MARKUP LANGUAGE
➜ SKILL ARCHITECTURE
Discussing Alexa and Echo pair the Echo is the amplifier while Alexa is the discourse programming. They together work to perform different undertaking that we call as Alexa aptitudes.
Introducing Amazon Lex – Service for Building Voice or Text ChatbotsAmazon Web Services
Register for the Chatbot Challenge!
https://awschatbot2017.devpost.com/
- Learn about the features of Amazon Lex
- Learn how to build a chatbot with Amazon Lex
- Learn how to deploy to different messaging platforms with Amazon Lex from the console
- Learn how to get quickly started with Amazon Lex
Conversational interfaces through text with applications like Slack, and through voice with platforms like Amazon Alexa, are rapidly becoming mainstream. Amazon Lex enables you to quickly and easily build sophisticated, natural language conversational chatbots with the same deep learning technologies that power Amazon Alexa. No deep learning experience is required to immediately start creating chatbots that understand voice or text, to ask questions, get answers, and complete sophisticated tasks. This session will go over the features available with Amazon Lex and how they can be used, including how to easily publish your chatbots to mobile devices, web apps, services, and platforms such as Facebook Messenger, Twilio and Slack.
Ensuring Voice Quality for Amazon ConnectCarl Blume
Presentation by Chad Hart, callstats.io product manager, and Kentis Gopalla, AWS global consulting partner lead, delivered in the Amazon Connect booth at Enterprise Connect 2019
Alexa is Amazon’s cloud-based voice service.
It is a way to communicate the system using our voice.
Alexa provides a set of built-in capabilities, referred to as skills.
Developing a voice experience for your brand or business. Advances in speech recognition, language processing and machine learning are converging to enable voice user interfaces. We are transitioning from touch to voice and it has significant implications for marketing.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
by Keith Steward, Solutions Architect, AWS
Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This session combines both of these AWS services, the presenter will demonstrate how to build DevOps and Help Desk chatbots that feature spoken-voice interfaces, and explore the potential of bringing characters to life through interactive chatbots that improves customer engagement. Attendees will be provided with the foundational skills for those looking to enrich their applications with natural, conversational interfaces. Level 300
Introduction to building alexa skills and putting your amazon echo to workAbe Diaz
So you bough a brand new Echo/Tap/Dot device... now what? Well if you want to start hacking away and building your own skills this session is for you. We will cover the basic building blocks to get you up and running with your very own first custom skill.
Alexa is the speech and personal assistant technology behind Amazon Echo. Today you can use Alexa to listen to music, play games, check traffic and weather, control your household devices such as Philips Hue and Belkin WeMo, and lots more. Alexa offers a full-featured set of APIs and SDKs that you can use to teach her new skills and add her into devices and applications of your own. In this talk, intended for software and hardware developers interested in voice control, home automation, and personal assistant technology, we will walk through the development of a new Alexa skill and incorporate it into a consumer-facing device.
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.
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.
AWS Community Day Copenhagen 19.02.2019. - Alexa skill development
Alexa is the speech and personal assistant technology that powers Amazon Echo. It can be used to listen music, check weather and traffic, answer questions, control household devices and much more. In this talk you’ll get a hands-on introduction to Amazon Alexa and its ecosystem, and you’ll learn how to build Alexa skill from scratch. You'll also get introduction to the SSML (Speech Synthesis Markup Language). Target audience for this talk are developers who would like to extend their knowledge in order to be able to develop and publish skills for Alexa.
Presentation on VOICE ENABLED TECHNOLOGY: ALEXA
(Virtual assistant AI technology developed by Amazon)
CONTEXT
➜ COMPUTING EVOLUTION
➜ WHY ALEXA?
➜ GLOBAL SMART SPEAKER SALES Q3 2019
➜ WHAT CAN IT DO?
➜ TYPES OF SKILLS
➜ QUERIES ARE 40X LIKELY TO BE AN ALEXA SKILL
➜ INTERACTION MODEL
➜ SPEECH SYNTHESIS MARKUP LANGUAGE
➜ SKILL ARCHITECTURE
Discussing Alexa and Echo pair the Echo is the amplifier while Alexa is the discourse programming. They together work to perform different undertaking that we call as Alexa aptitudes.
Introducing Amazon Lex – Service for Building Voice or Text ChatbotsAmazon Web Services
Register for the Chatbot Challenge!
https://awschatbot2017.devpost.com/
- Learn about the features of Amazon Lex
- Learn how to build a chatbot with Amazon Lex
- Learn how to deploy to different messaging platforms with Amazon Lex from the console
- Learn how to get quickly started with Amazon Lex
Conversational interfaces through text with applications like Slack, and through voice with platforms like Amazon Alexa, are rapidly becoming mainstream. Amazon Lex enables you to quickly and easily build sophisticated, natural language conversational chatbots with the same deep learning technologies that power Amazon Alexa. No deep learning experience is required to immediately start creating chatbots that understand voice or text, to ask questions, get answers, and complete sophisticated tasks. This session will go over the features available with Amazon Lex and how they can be used, including how to easily publish your chatbots to mobile devices, web apps, services, and platforms such as Facebook Messenger, Twilio and Slack.
Ensuring Voice Quality for Amazon ConnectCarl Blume
Presentation by Chad Hart, callstats.io product manager, and Kentis Gopalla, AWS global consulting partner lead, delivered in the Amazon Connect booth at Enterprise Connect 2019
Alexa is Amazon’s cloud-based voice service.
It is a way to communicate the system using our voice.
Alexa provides a set of built-in capabilities, referred to as skills.
Developing a voice experience for your brand or business. Advances in speech recognition, language processing and machine learning are converging to enable voice user interfaces. We are transitioning from touch to voice and it has significant implications for marketing.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
by Keith Steward, Solutions Architect, AWS
Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This session combines both of these AWS services, the presenter will demonstrate how to build DevOps and Help Desk chatbots that feature spoken-voice interfaces, and explore the potential of bringing characters to life through interactive chatbots that improves customer engagement. Attendees will be provided with the foundational skills for those looking to enrich their applications with natural, conversational interfaces. Level 300
Introduction to building alexa skills and putting your amazon echo to workAbe Diaz
So you bough a brand new Echo/Tap/Dot device... now what? Well if you want to start hacking away and building your own skills this session is for you. We will cover the basic building blocks to get you up and running with your very own first custom skill.
Alexa is the speech and personal assistant technology behind Amazon Echo. Today you can use Alexa to listen to music, play games, check traffic and weather, control your household devices such as Philips Hue and Belkin WeMo, and lots more. Alexa offers a full-featured set of APIs and SDKs that you can use to teach her new skills and add her into devices and applications of your own. In this talk, intended for software and hardware developers interested in voice control, home automation, and personal assistant technology, we will walk through the development of a new Alexa skill and incorporate it into a consumer-facing device.
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
Simplificando Arquiteturas Microsoft com os Serviços da AWS - ARC204 - Sao P...Amazon Web Services
Nesta sessão, aprenda como fazer a arquitetura de soluções e ambientes Microsoft totalmente disponíveis e escaláveis na AWS. Descubra como as soluções da Microsoft podem alavancar diversos serviços AWS para conseguir maior resiliência, substituir complexidades desnecessárias, simplificar a arquitetura, fornecer escalabilidade e apresentar conceitos de DevOps como compliance, governança, automação e replicabilidade. Além disso, planeje autenticação e autorização e explore vários cenários híbridos com outros ambientes de nuvem e soluções ou infraestrutura on-premise . Saiba mais sobre padrões comuns de arquitetura para design de rede, Microsoft Active Directory e soluções de produtividade de negócios como Microsoft Dynamics AX, CRM e Microsoft SharePoint, bem como os cenários mais comuns de customização .NET, .NET Core com a implementação e migrações Microsoft SQL.
Your First Hour on AWS: Building the Foundation for Large Scale AWS Adoption ...Amazon Web Services
To arm you with best practices from day one, this session presents field-tested and reusable designs that’ll set you up for long-term success in the AWS cloud. From account creation and access configuration, through security considerations and VPC design, to the use of VPC peering, ELBs and Internet Gateways, we’ll walk you through the common infrastructure elements and recommended design patterns that lead to AWS cloud adoption success.
"When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost.
In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones."
Getting Started with Serverless Computing Using AWS Lambda - ENT332 - re:Inve...Amazon Web Services
With serverless computing, you can build and run applications without the need for provisioning or managing servers. Serverless computing means that you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We introduce you to the basics of building with Lambda. As part of that, we show how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS re:Invent 2016: Building Complex Serverless Applications (GPST404)Amazon Web Services
Provisioning, scaling, and managing physical or virtual servers—and the applications that run on them—has long been a core activity for developers and system administrators. The expanding array of managed AWS cloud services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway and more, increasingly allows organizations to focus on delivering business value without worrying about managing the underlying infrastructure or paying for idle servers and other fixed costs of cloud services. In this session, we discuss the design, development, and operation of these next-generation solutions on AWS. Whether you're developing end-user web applications or back-end data processing systems, join us in this session to learn more about building your applications without servers.
This session takes developers through a deep dive into microservices architecture on Amazon Web Services in the context of supporting transactions, making use of containerisation and serverless architectures and the various cloud-native features that make developing microservices efficient and simple.
Speaker: Oliver Klein – Emerging Technologies Solutions Architect, AWS APAC
Codemotion Session - 2016 Milan.
Session about the development of Chat Bot Application ( The Game Rock / Paper / Scissors ) powered by Machine Learning.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...kalichargn70th171
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
8. ALEXA SKILLS KIT REQUEST RESPONSE MODEL
• ALEXA COMMUNICATES WITH YOUR SKILL’S BACKEND (WEB SERVICE OR AWS LAMBDA
FUNCTION) VIA A HTTPS REQUEST-RESPONSE FORMAT
• WHEN A USER INTERACTS WITH YOUR SKILL, ALEXA SENDS YOUR SERVICE A POST REQUEST
CONTAINING A JSON BODY
9. ALEXA SKILLS KIT REQUEST RESPONSE MODEL
• REQUEST BODY:
• SESSION – INFORMATION ABOUT THE CURRENT SESSION
• CONTEXT – INFORMATION ABOUT THE CURRENT STATE OF THE ALEXA
SERVICE AND THE DEVICE
• REQUEST – INFORMATION ABOUT THE USER’S REQUEST TYPE:
• LAUNCH REQUEST
• INTENTREQUEST
• SESSIONENDEDREQUEST
• AUDIOPLAYER REQUESTS
• PLAYBACKCONTROLLER REQUESTS
https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/docs/alexa-skills-kit-interface-reference
10. ALEXA SKILLS KIT REQUEST RESPONSE MODEL
• RESPONSE BODY:
• OUTPUTSPEECH – WHAT ALEXA WILL SAY AS A RESPONSE
• CARD – CARD OBJECT TO BE RENDERED IN THE ALEXA COMPANION APP AS
PART OF THE RESPONSE
• REPROMPT – WHAT ALEXA WILL SAY IF THE SESSION IS TO REMAIN OPEN AND
A REPROMPT IS NECESSARY
• SHOULDENDSESSION – INDICATES WHETHER THE SESSION SHOULD CLOSE
• DIRECTIVES – ARRAY OF DIRECTIVES SPECIFYING DEVICE LEVEL ACTIONS SUCH AS
FOR THE AUDIOPLAYER INTERFACE
https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/docs/alexa-skills-kit-interface-reference
11. ALEXA NODEJS SDK
HTTPS://GITHUB.COM/ALEXA/ALEXA-SKILLS-KIT-SDK-FOR-NODEJS
EASILY BUILD ALEXA SKILLS WITH NODEJS AND AWS LAMBDA
HELPER EVENTS FOR NEW SESSIONS AND UNHANDLED EVENTS
HELPER FUNCTIONS FOR EASY STATE MANAGEMENT
SIMPLE CONFIGURATION FOR PERSISTENT DATABASE STORAGE IN DYNAMODB
SPEECH OUTPUT AUTOMATICALLY WRAPPED IN SSML
OFFICIALLY SUPPORTED BY AMAZON
14. MY ASSISTANT SKILL – INTRO
• AIM – BUILD AN ALEXA SKILL THAT GIVES PEOPLE INFORMATION ABOUT RECIPES, HOW TO OF
COMMON TASKS OR INGREDIENTS OF FOODS
• ALEXA, ASK MY ASSISTANT HOW CAN I BUILD A MAP?
• ALEXA, ASK MY ASSISTANT WHAT ARE THE INGREDIENTS FOR A CAKE?
• ALEXA, ASK MY ASSISTANT HOW DO I MAKE FIREWORK ROCKET?
15. MY ASSISTANT SKILL - SECTIONS
• VOICE DEVS PROJECT
1. CREATING A BASIC SKILL
2. SIMPLE INTENTS
3. COMPLEX CONVERSATIONS
4. PERSISTENT DATABASE STORAGE
5. STATE MANAGEMENT
6. ACCOUNT LINKING
7. MULTIPLE LANGUAGES
17. SIMPLE INTENTS
• ALEXA, ASK MY ASSISTANT HOW DO I MAKE FIREWORK ROCKET?
• ALEXA, ASK MY ASSISTANT WHAT ARE THE INGREDIENTS FOR A {ITEM}?
• ALEXA, ASK MY ASSISTANT HOW DO YOU CRAFT {ITEM}?
• ALEXA, ASK MY ASSISTANT RECIPES FOR A {ITEM}?
18. COMPLEX CONVERSATIONS
• AIM CREATE COMPLEX & PERSONAL CONVERSATIONS BETWEEN ALEXA AND YOUR USER:
• SESSION ATTRIBUTES
• PERSISTENT DATABASE STORAGE
• STATE MANAGEMENT
• ACCOUNT LINKING
19. PERSISTENT DATABASE STORAGE
• OFTEN WE WANT INFORMATION WE’VE CAPTURED FROM OUR USER TO BE STORED BETWEEN SESSIONS.
• THE ALEXA-SDK PROVIDES AN EASY WAY TO DO THIS VIA AMAZON DYNAMODB.
• SIMPLY ADD THE DYNAMODB TABLE NAME TO YOUR ALEXA OBJECT:
ALEXA.DYNAMODBTABLENAME = 'YOURTABLENAME';
20. STATE MANAGEMENT
• WHY STATE MANAGEMENT?
• ALEXA-SDK COMES WITH BUILT IN STATE MANAGEMENT
• ALEXA-SDK WILL ROUTE INCOMING INTENTS TO THE CORRECT FUNCTION HANDLER BASED ON STATE
• STATE IS PERSISTED IN DYNAMODB ALONG WITH SESSION ATTRIBUTES
• USE THE ’UNHANDLED’ HANDLER DYNAMODB TO COVER INTENTS THAT ARE CALLED IN A STATE THAT DOESN’T SUPPORT
THEM
Onboardin
g State
Main State
Some Other
State
21. ACCOUNT LINKING
• ALLOWS USER TO LINK THEIR ALEXA ACCOUNT WITH AN ACCOUNT FROM A 3RD PARTY SYSTEM OR
YOUR OWN USER ACCOUNT SYSTEM
• ALLOWS USER TO MAKE AUTHENTICATED REQUESTS TO THIS SYSTEM
• DO I NEED ACCOUNT LINKING? – CAN I JUST USE THE USERID ATTRIBUTE TO MANAGE USER
ATTRIBUTES BETWEEN SESSIONS?
22. OAUTH2 ROLES IN ALEXA
• RESOURCE OWNER: THE END USER WHO WANTS TO CONNECT YOUR SKILL WITH THEIR USER ACCOUNT IN ANOTHER
SYSTEM.
• RESOURCE SERVER: THE SERVER HOSTING THE RESOURCES THE USER WANTS TO ACCESS. THIS SERVER IS PART OF THE
EXTERNAL SYSTEM, AND IT MUST BE ABLE TO ACCEPT AND RESPOND TO REQUESTS USING ACCESS TOKENS.
• AUTHORIZATION SERVER: THE SERVER THAT AUTHENTICATES THE IDENTITY OF THE RESOURCE OWNER AND ISSUES ACCESS
TOKENS.
• CLIENT APP: THE APPLICATION MAKING THE REQUESTS TO THE RESOURCE SERVER ON BEHALF OF THE RESOURCE OWNER. IN
THIS CONTEXT, THIS IS THE ALEXA SKILL.
24. AUTHORIZATION CODE GRANT VS IMPLICIT
GRANT
• AUTHORIZATION CODE GRANT:
• AUTHORIZATION SERVER RETURNS AN AUTHORIZATION CODE
• ALEXA SERVICE USES AUTHORIZATION CODE TO REQUEST AN ACCESS TOKEN AND REFRESH TOKEN
• SUPPORTS REFRESH TOKENS
• MORE SECURE
• IMPLICIT GRANT:
• AUTHORIZATION SERVER RETURNS AN ACCESS TOKEN
• SIMPLER
• NO REFRESH TOKEN SUPPORT
25. VOICE BEST PRACTICE
• VOICE BEST PRACTICE
• DO USER TESTING EARLY ON
• DON’T START CODING UNTIL THE VOICE INTERACTION MODEL HAS BEEN DONE
• KEEP ALEXA’S RESPONSES AS SHORT AS POSSIBLE
• DON’T HAVE TOO MANY STEPS IN THE CONVERSATION
• IT’S WORTH SPENDING TIME ON THE ‘HALF-HAPPY’ PATHS - HAVE A BACKUP LAYER WITHIN THE SKILLS BACKEND THAT DOES KEYWORD MATCHING IF THE SLOTS
WEREN’T EXACTLY RECOGNIZED
• DISCOVERABILITY
• WHO IS GOING TO BE USING THE VOICE APP?
• HOW WILL THEY FIND OUT ABOUT IT?
• WHAT WILL BE THE REASON THEY COME TO USE THE VOICE APP?
Editor's Notes
Alexa, the voice service that powers Echo, provides capabilities, or skills, that enable customers to interact with devices in a more intuitive way using voice.Alexa Voice Service (AVS) is an intelligent and scalable cloud service that adds voice-enabled experiences to any connected product – all you need is a microphone and speaker.The Alexa Voice Service (AVS) allows you to integrate Alexa’s built-in voice capabilities into your connected products. With AVS, your users will have the ability to play music, request the weather forecast and local news, get updates on traffic conditions, ask general knowledge questions, set timers and alarms, query Wikipedia and much more, the same way they would with an Amazon Echo. You also have access to third-party skills developed using the Alexa Skills Kit (ASK). Using AVS and ASK together, you can build sophisticated interactions to extend the capabilities of your Alexa-enabled product.The Alexa Skills Kit is a collection of self-service APIs, tools, documentation and code samples that make it fast and easy for you to add skills to Alexa. All of the code runs in the cloud — nothing is installed on any user device. With the Alexa Skills Kit, you can create compelling, hands-free voice experiences by adding your own skills to Alexa. Customers can access these new skills on any Alexa-enabled device simply by asking Alexa a question or making a command.
With the Alexa Skills Kit (ASK), designers, developers, and brands can build engaging skills and reach millions of customers. ASK is a collection of self-service APIs, tools, documentation, and code samples that makes it fast and easy for you to add skills to Alexa. With ASK, you can leverage Amazon’s knowledge and pioneering work in the field of voice design.
Amazon Echo is a new category of device designed around your voice – it is hands-free and always on. Customers ask Echo for information, music, news, and weather from across the room and get answers instantly. TechCrunch said “Amazon Echo proves the viability of voice-based home computing.”
Amazon Tap is a portable Bluetooth and Wi-Fi enabled speaker that gives you rich, full-range sound. Dual stereo speakers with Dolby processing offer crisp vocals and extended bass response. And unlike other Bluetooth speakers that only face forward, Amazon Tap has dual stereo speakers that provide immersive, 360 degree omni-directional audio. When connected to Wi-Fi or a mobile hotspot, just tap the microphone button and ask for music, hear news, search for information, order a pizza, and more with the Alexa Voice Service.
Echo Show is a new device that brings you everything you love about Alexa. All Alexa skills will automatically be available on Echo Show. Skills will display any skill cards you currently return in your response objects. This is very similar to how customers see your Alexa skill cards on the Alexa app, Fire TV, and Fire Tablet devices today. If no skill card is available, a default template shows the skill icon and skill name.The main difference between Dot and Echo is that the full-size speaker is gone. The idea is you'll hook Dot up to your own audio setup (via out jack or Bluetooth), so you can use Alexa with your existing speakers. That tiny speaker won't output much audio;
Echo Look Wi-Fi camera that offers full Alexa functionality plus hands-free photo and video! Amazon called this fashion feature "Style Check,“http://www.pocket-lint.com/news/136952-amazon-echo-vs-amazon-tap-vs-echo-dot-vs-echo-look-vs-echo-show-what-s-the-difference
A successful Alexa skill starts with well-designed voice user interface (VUI). Engaging voice experiences are based on natural language and the fundamentals of human conversation.