oT can give you great insight into consumer behaviour and demand, helping to you create the innovative, revenue-generating services of the future. However, there are still lots of challenges around collecting data from devices, which often have significant limitations in terms of processing power, memory and interfaces.
In this presentation, Danilo talks about how Amazon AI services can be used to augment device capabilities to make data collection, storage and analytics easier. He also considers how people can start interacting with machines in a more natural way, for example using natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS).
Learning objectives:
- Learn how to design IoT solutions using services such as AWS Greengrass and AWS IoT
- Gain insights into practical use cases for Amazon AI services
- Understand the possibilities of using AI from an IoT device
What are the standards for IoT? What are the requirements for different parts of your business for IoT? For your infrastructure? For your employees? For your customers? For your partners? Examples of Successful Enterprise IOT architecture patterns and use cases. What are problems like security for IoT?
The Internet-of-Things provides us with lots of sensor data. However, the data by themselves do not provide value unless we can turn them into actionable, contextualized information. Big data and data visualization techniques allow us to gain new insights by batch-processing and off-line analysis. Real-time sensor data analysis and decision-making is often done manually but to make it scalable, it is preferably automated. Artificial Intelligence provides us the framework and tools to go beyond trivial real-time decision and automation use cases for IoT.
I considered IoT in 15 slides in terms of:
1) What is it?
2) Where is it happening?
3) When is it happening?
4) Why is it happening?
5) How is it happening?
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
A management introduction to IoT - Myths - Pitfalls - ChallengesSven Beauprez
An introduction of what The Internet of Things is based on an overview of our society, how an implementation of The Internet of Things looks like from a bird eye view and some pitfalls and challenges that come with IoT.
This presentation was given on several occasions to C-Level management, lawyers, students, techies,...
What are the standards for IoT? What are the requirements for different parts of your business for IoT? For your infrastructure? For your employees? For your customers? For your partners? Examples of Successful Enterprise IOT architecture patterns and use cases. What are problems like security for IoT?
The Internet-of-Things provides us with lots of sensor data. However, the data by themselves do not provide value unless we can turn them into actionable, contextualized information. Big data and data visualization techniques allow us to gain new insights by batch-processing and off-line analysis. Real-time sensor data analysis and decision-making is often done manually but to make it scalable, it is preferably automated. Artificial Intelligence provides us the framework and tools to go beyond trivial real-time decision and automation use cases for IoT.
I considered IoT in 15 slides in terms of:
1) What is it?
2) Where is it happening?
3) When is it happening?
4) Why is it happening?
5) How is it happening?
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
A management introduction to IoT - Myths - Pitfalls - ChallengesSven Beauprez
An introduction of what The Internet of Things is based on an overview of our society, how an implementation of The Internet of Things looks like from a bird eye view and some pitfalls and challenges that come with IoT.
This presentation was given on several occasions to C-Level management, lawyers, students, techies,...
IoT across devices with Windows 10 and Azure IoT Suite by Admir TuzovićBosnia Agile
More and more, we’re seeing the Internet of Things (IoT) become part of the fabric of business, helping converge an organization’s assets, data and processes with people and business systems. Today, this intersection is allowing enterprises to uncover new opportunities, create new business models and transform their operations – from elevators, to particle accelerators and washing machines – to become truly digital businesses.
Microsoft’s vision is to help companies thrive in this era of IoT, delivering open, scalable platforms and services that any company, whether startup or the most established global enterprises, can use to create new value, right now. We have made huge investments in the Windows 10 IoT operating system for devices, and equally with the Azure IoT Suite, we’re bringing together a variety of Azure services to help our customers accelerate their transformation to digital businesses.
The Azure IoT Suite is an integrated offering that takes advantage of all the relevant Azure capabilities to connect devices and other assets (i.e. “things”), capture the diverse and voluminous data they generate, integrate and orchestrate the flow of that data, and manage, analyze and present it as usable information to the people who need it to make better decisions as well as intelligently automate operations. The offering, while customizable to fit the unique needs of organizations, will also provide finished applications to speed deployment of common scenarios we see across many industries, such as remote monitoring, asset management and predictive maintenance, while providing the ability to grow and scale solutions to millions of “things.”
The slide deck provides the details of IoT Architecture, Market/Projects worldwide, IoT Frameworks. Also covers overview of Raspberry Pi, and how can you start your IoT project with it.
In IoT StreamConf's keynote, Todd Greene, CEO of PubNub, kicked off the conference with an optimistic keynote address, looking forward to solving the challenges of Internet of Things communication.
Tutorial on Internet of Thing (IoT) Paradigm in Consumer ApplicationsRaffaele Giaffreda
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications given at 11th IEEE Consumer Communication and Networking Conference 2014 - Las Vegas. R.Giaffreda slides subset
IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...Vijay Pullannagari
IoT Internet of Things Technology: Read now about IoT Technology Guide to learn Why you need to choose Best IoT Solutions for your Business Growth and ROI.
The IoT Methodology aims to provide a loosely structured ecosystem of mutual value for all who participate, driven by sharing, collaboration, community and learning. An ecosystem made up of tools, design patterns, architecture references and guidelines to build IoT solutions.
In the spirit of the World Wide Web and Open Source communities across the globe, a new collaborative effort must be taken to make the Internet of Things a reality.
It’s alive, it grows, it expands, it has no end date or budget restriction.
Building the Future with Technology: The Next Five Years Cisco Canada
Join us as Guido talks about "The Next Five Years." This provocative session will discuss the current and future trends that affect the proliferation and use of the latest technologies in business, such as mobility, virtualization, energy and video. Highlights will include Cisco's unique innovation model, the processes and technologies derived from that model, as well as use cases of these emerging technologies in business. Guido will also ‘connect-the-dots' of these various technologies and present more comprehensive solutions that can further drive and accelerate business transformation.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Timothee Cruse, Global Accounts Solutions Architect, AWS
In the second in our series of IoT presentations we will be providing more in-depth information on:
- How IoT can transform a business
- Key components of IoT solution
- How IoT projects work
- Do's and Don'ts in IoT projects
This deck presents some basic concepts of IoT and some more advanced concepts, reviews the current market players and future of IoT as well as the key ingredients and architecture for success.
How to Profit from IoT (Internet of Things)
Is there profit to be made from IoT? Is it right for your business? Join us for an accessible overview of IoT in manufacturing environments.
Find out if you should be looking more closely at IoT for your company, what it costs, and how to get started.
Targeted to senior-level managers, whether you know a little or a lot about IoT -- or even nothing at all -- this presentation will get you smart, fast.
You’ll get answers to these questions and more:
1. What is IoT?
2. Should I consider IoT for my business?
3. What is an example of an IoT manufacturing solution and how does it work?
4. Can I afford it, can I do it internally, and where do I start?
Takeaways:
You’ll come away from this webinar with a better awareness and understanding of how IoT initiatives can drive profit for your manufacturing company. You’ll receive expert tips and tricks gleaned from experts in the software and IoT industry that will help you avoid making big mistakes. And you’ll learn how to select the IoT initiatives that are most likely to make a difference, and a profit, for your company.
Why the Internet of Things needs AI & interoperability to succeedNuance Communications
Gartner predicts 5.5 million new ‘things’ will be connected everyday this year. The challenge: non-intuitive interfaces, disconnected systems, and incompatible APIs mean we’ve not yet been able to unleash the greatest potential of this IoT-connected devices ecosystem. That’s why we need to innovate with interoperability in mind.
IoT across devices with Windows 10 and Azure IoT Suite by Admir TuzovićBosnia Agile
More and more, we’re seeing the Internet of Things (IoT) become part of the fabric of business, helping converge an organization’s assets, data and processes with people and business systems. Today, this intersection is allowing enterprises to uncover new opportunities, create new business models and transform their operations – from elevators, to particle accelerators and washing machines – to become truly digital businesses.
Microsoft’s vision is to help companies thrive in this era of IoT, delivering open, scalable platforms and services that any company, whether startup or the most established global enterprises, can use to create new value, right now. We have made huge investments in the Windows 10 IoT operating system for devices, and equally with the Azure IoT Suite, we’re bringing together a variety of Azure services to help our customers accelerate their transformation to digital businesses.
The Azure IoT Suite is an integrated offering that takes advantage of all the relevant Azure capabilities to connect devices and other assets (i.e. “things”), capture the diverse and voluminous data they generate, integrate and orchestrate the flow of that data, and manage, analyze and present it as usable information to the people who need it to make better decisions as well as intelligently automate operations. The offering, while customizable to fit the unique needs of organizations, will also provide finished applications to speed deployment of common scenarios we see across many industries, such as remote monitoring, asset management and predictive maintenance, while providing the ability to grow and scale solutions to millions of “things.”
The slide deck provides the details of IoT Architecture, Market/Projects worldwide, IoT Frameworks. Also covers overview of Raspberry Pi, and how can you start your IoT project with it.
In IoT StreamConf's keynote, Todd Greene, CEO of PubNub, kicked off the conference with an optimistic keynote address, looking forward to solving the challenges of Internet of Things communication.
Tutorial on Internet of Thing (IoT) Paradigm in Consumer ApplicationsRaffaele Giaffreda
Tutorial on Internet of Thing (IoT) Paradigm in Consumer Applications given at 11th IEEE Consumer Communication and Networking Conference 2014 - Las Vegas. R.Giaffreda slides subset
IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...Vijay Pullannagari
IoT Internet of Things Technology: Read now about IoT Technology Guide to learn Why you need to choose Best IoT Solutions for your Business Growth and ROI.
The IoT Methodology aims to provide a loosely structured ecosystem of mutual value for all who participate, driven by sharing, collaboration, community and learning. An ecosystem made up of tools, design patterns, architecture references and guidelines to build IoT solutions.
In the spirit of the World Wide Web and Open Source communities across the globe, a new collaborative effort must be taken to make the Internet of Things a reality.
It’s alive, it grows, it expands, it has no end date or budget restriction.
Building the Future with Technology: The Next Five Years Cisco Canada
Join us as Guido talks about "The Next Five Years." This provocative session will discuss the current and future trends that affect the proliferation and use of the latest technologies in business, such as mobility, virtualization, energy and video. Highlights will include Cisco's unique innovation model, the processes and technologies derived from that model, as well as use cases of these emerging technologies in business. Guido will also ‘connect-the-dots' of these various technologies and present more comprehensive solutions that can further drive and accelerate business transformation.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Timothee Cruse, Global Accounts Solutions Architect, AWS
In the second in our series of IoT presentations we will be providing more in-depth information on:
- How IoT can transform a business
- Key components of IoT solution
- How IoT projects work
- Do's and Don'ts in IoT projects
This deck presents some basic concepts of IoT and some more advanced concepts, reviews the current market players and future of IoT as well as the key ingredients and architecture for success.
How to Profit from IoT (Internet of Things)
Is there profit to be made from IoT? Is it right for your business? Join us for an accessible overview of IoT in manufacturing environments.
Find out if you should be looking more closely at IoT for your company, what it costs, and how to get started.
Targeted to senior-level managers, whether you know a little or a lot about IoT -- or even nothing at all -- this presentation will get you smart, fast.
You’ll get answers to these questions and more:
1. What is IoT?
2. Should I consider IoT for my business?
3. What is an example of an IoT manufacturing solution and how does it work?
4. Can I afford it, can I do it internally, and where do I start?
Takeaways:
You’ll come away from this webinar with a better awareness and understanding of how IoT initiatives can drive profit for your manufacturing company. You’ll receive expert tips and tricks gleaned from experts in the software and IoT industry that will help you avoid making big mistakes. And you’ll learn how to select the IoT initiatives that are most likely to make a difference, and a profit, for your company.
Why the Internet of Things needs AI & interoperability to succeedNuance Communications
Gartner predicts 5.5 million new ‘things’ will be connected everyday this year. The challenge: non-intuitive interfaces, disconnected systems, and incompatible APIs mean we’ve not yet been able to unleash the greatest potential of this IoT-connected devices ecosystem. That’s why we need to innovate with interoperability in mind.
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
What Exactly Is The "Internet of Things"?Postscapes
Over the last several years, stories of the technologies making up an Internet of Things have started to slip into public consciousness. As this is occurring, we believe the whole story of Smart Systems and the Internet of Things is not being told. Many of the dispatches coming in from the “front lines” of technology innovation are but fragments of a much larger narrative.
Postscapes collaborated with Harbor Research on an infographic to tell a more complete story about the Internet of Things.
From our perspective, this story is not just about people communicating with people or machines communicating with machines. Smart, connected systems are a technological and economic phenomenon of unprecedented scale, encompassing potentially billions if not trillions of nodes -- an Internet of infinite interactions and values...
IoT Security: Problems, Challenges and SolutionsLiwei Ren任力偉
As a novel computing platform in network, IoT will bring many security challenges to enterprise networks, and create new opportunities for security industry. This talk will provide a general overview of enterprise network security problems, especially the data security, caused by IoT. After that, a few existing security technologies are evaluated as necessary elements of a holistic network security that cover IoT devices. These technologies include : (a) IoT security monitoring and control; (b) FOTA for firmware vulnerability management; (c) NetFlow based big data security analysis. In the end, the practice of standard security protocols (such as OpenIoC and IODEF) will be strongly advocated for delivering effective IoT security solutions.
To obtain a foundational understanding of how the Internet of Things applies to your business, begin by exploring the answers to five key questions. To learn more, check out our special Internet of Things section in Deloitte Review Issue 17: http://deloi.tt/1TwfcmI
Security in the Internet Of Things.
Every IoT project must be designed with security in mind. Identity Relationship Management is a must for a successful IoT implementation.
DN 2017 | Machines are Learning - Bringing Powerful Artificial Intelligence t...Dataconomy Media
Have you always wanted to add predictive capabilities, image or voice recognition to your application, but haven’t been able to find the time or the right technology to get started? Everybody wants to build smart apps, but only a few are Data Scientists. This session will help you understand machine learning terminology & challenges, what deep learning is and its possible use cases, how to build a machine learning model that works, and how to use developer-ready APIs for high-quality, high-accuracy AI capabilities that are scalable and cost-effective.
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
AWS re:Invent 2016: Alexa in the Enterprise: How JPL Leverages Alexa to Furth...Amazon Web Services
The Jet Propulsion Laboratory designs and creates some of the most advanced space robotics ever imagined. JPL IT is now innovating to help streamline how JPLers will work in the future in order to design, build, operate, and support these spacecraft. They hope to dramatically improve JPLers' workflows and make their work easier for them by enabling simple voice conversations with the room and the equipment across the entire enterprise.
What could this look like? Imagine just talking with the conference room to configure it. What if you could kick off advanced queries across AWS services and kick off AWS Kinesis tasks by simply speaking the commands? What if the laboratory could speak to you and warn you about anomalies or notify you of trends across your AWS infrastructure? What if you could control rovers by having a conversation with them and ask them questions? In this session, JPL will demonstrate how they leveraged AWS Lambda, DynamoDB and CloudWatch in their prototypes of these use cases and more. They will also discuss some of the technical challenges they are overcoming, including how to deploy and manage consumer devices such as the Amazon Echo across the enterprise, and give lessons learned. Join them as they use Alexa to query JPL databases, control conference room equipment and lights, and even drive a rover on stage, all with nothing but the power of voice!
The Audioverse In Your Pocket - Invited Talk at ABC Radio National - Harries ...Michael Harries
Public radio, and radio in general, is at risk of disruption by new audio technologies (podcasts, etc). However there are interesting opportunities when a longer-term technology-strategy view is brought to bear.
This presentation is from an invited talk at the Australian ABC Radio National ( August 2009) as part of their strategic process.
Here's how they describe themselves: "With over 60 distinct programs each week, the Australian Broadcasting Corporation's Radio National is different from any other radio station in Australia. Where else could you hear, for example, an exploration of ideas in science, followed by the latest in books from around the world, then a program about the mind and human behaviour?"
http://www.abc.net.au/rn/
Have you always wanted to add predictive capabilities or voice recognition to your application, but haven’t been able to find the time or the right technology to get started? Everybody wants to build smart apps, but only a few are Data Scientists. This session will help you understand machine learning terminology & challenges, implement a machine learning model, add predictive capabilities to your app, and provide your customer with voice UX.
Make your solution see, hear and talk, leveraging artificial intelligence services based on deep learning and neural networks. We will discover three new AI tools from AWS - Lex, Polly and Rekognition; integrated with a physical world device for human interaction and environmental awareness
Speaker: Sunil Mallya, Solutions Architect, AWS Deep Learning
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...IT Arena
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
How Amazon AI Can Help You Transform Your Education Business | AWS WebinarAmazon Web Services
Machine Learning (ML) is a hot topic in the education industry. In this webinar, you will learn how AWS customers are using ML on AWS to transform their companies and their products. We'll go through many use cases across different industries (education, media, finance, retail, etc.), both in the enterprise and the startup worlds. In the process, we'll introduce you to the growing family of API-driven ML services that provide EdTechs with everything they need to innovate and build transformative learning solutions for the education marketplace.
biggest technology trends
Artificial Intelligence
Data Science
Internet of Things
Nanotechnology
Robotic Process Automation (RPA)
Virtual Reality
Edge Computing
Intelligent apps
More Technology Trends
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
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https://viralsocialtrends.com/vat-registration-outlined-in-uae/
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This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Business Valuation Principles for EntrepreneursBen Wann
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In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
3. 1939 London Underground
Credit: Gerry Cranham/Fox Photos/Getty Images
http://www.telegraph.co.uk/travel/destinations/europe/united-kingdom/england/london/galleries/The-history-of-the-Tube-in-pictures-150-years-of-London-Underground/1939-ticket-examin/
4. 1939 London Underground
Credit: Gerry Cranham/Fox Photos/Getty Images
http://www.telegraph.co.uk/travel/destinations/europe/united-kingdom/england/london/galleries/The-history-of-the-Tube-in-pictures-150-years-of-London-Underground/1939-ticket-examin/
IoT
Big Data
Machine Learning
5. One of the big challenges with the IoT is to
Collect Analyze Act on
data from devices to generate insights.
7. Customer Success – Philips Healthcare
IoT on AWS to collect and act on critical data across different devices
Philips is a leading health-tech company, working to create a new era of connected and personalized digital health and care..
With the addition of AWS IoT, we will
greatly accelerate the pursuit of our
vision by making it easy to acquire,
process, and act on data from
heterogeneous devices in real time.
• AWS gives Philips customers greater control of their
health with connected digital health solutions that support
healthy living and improved care coordination.
• HealthSuite, powered by AWS, is a digital platform that
manages more than 7 million connected medical-grade,
consumer devices, sensors and mobile apps
• The Philips HealthSuite digital platform analyzes and
stores 15 PB of patient data from 390 million imaging
studies, medical records, and patient inputs.
• AWS provides the reliability, performance and scalability
that Philips needs to help protect patient data which
grows by petabyte/month.
Jeroen Tas
CEO Healthcare Informatics Solutions and Services, Philips
”
“
8. Customer Success – SONOS
Increase the Value of a Product Over Time with Data Telemetry and Usage Data
All the music on earth, in every room of your home, wirelessly. Sonos is the smart speaker system that streams all
your favorite music to any room, or every room. Control your music with one simple app, and fill your home with
pure, immersive sound.
“A 10 year old product can do things
that hadn’t been invented 10 years
ago. Most importantly, going forward,
people will expect your product to
improve, and if it isn’t being updated
and getting better, you’re literally
being left behind.”
Jon Cotter
Sr. Software Development Manager,
”
“ • Utilizes AWS to collect, store, and process performance
metric data and reports for individual speaker systems.
• Can monitor the quality of speakers in the field, and
dramatically add new functionality to existing speakers
without refreshing hardware.
• Launching Trueplay: a Smart Speaker Tuning services
that measures the acoustics in any room and fine-tunes
your speaker.
• Launching in 2015 yet available to devices purchased
over 5 years ago
9. “We launched Hive towards the end of
2013 and today we have 75,000
customers… The speed at which we
delivered Hive is directly related to our
decision to use AWS cloud”
Seb Chakraborty
Head of Web and Platform Design
• British Gas started a project called Hive, part of its
Connected Homes Strategy.
• Hive Active Heating allows users to control heating and
hot water remotely from mobile, laptop or
smartphones.
• Such a flexibility allows users to control heating exactly
how they need it and save up to £150 a year on utility
bills
Customer Success – British Gas
Brings central heating control to smartphones with AWS
British Gas uses AWS cloud for scaling the
project and to deliver API toolsets around it.
”
“
11. Challenges Of Devices Living On The Edge
Round-trip latency
Intermittent connectivity
Expensive bandwidth
Programming and updating embedded software needs specialized skills
Limited to what is on the device unless you rewrite or program the device
12. AWS Greengrass: Local Compute,
Messaging & Data Caching
Local
compute
Local
data caching
Secure
communications
Local
messaging
13. Benefits of AWS Greengrass
Respond to local events quickly
Operate offline
Simplified device programming
Reduce the cost of IoT applications
16. How to maximize the capabilities of IoT devices?
Usually IoT devices have significant limitations in terms of
processing power, memory and interfaces
17. Artificial Intelligence & Deep Learning At Amazon
Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Add ML-powered
features to existing products
Echo &
Alexa
18. Artificial Intelligence on AWS
P2, F1 &
Elastic GPUs
Deep Learning
AMI and template
Investment in
Apache MXNet
20. Deep Learning Frameworks
MXNet, Caffe, Tensorflow, Theano,
Torch, CNTK and Keras
Pre-installed components to speed
productivity, such as Nvidia drivers, CUDA,
cuDNN, Intel MKL-DNN with MXNet,
Anaconda, Python 2 and 3
AWS Integration
Deep Learning AMI
23. Amazon Rekognition
Deep learning-based image recognition service
Search, verify, and organize millions of images
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition
Image Moderation
24. Amazon Rekognition: Images In,
Categories and Facial Analysis Out
Amazon
Rekognition
Car
Outside
Daytime
Driving
Objects
& Scenes
Female
Smiling
Sunglasses
Face ID
DetectLabels
DetectFaces
DetectModerationLabels
CompareFaces
IndexFaces
SearchFacesByImage
Faces
25.
26. Bynder allows you to easily create, find and use content
for branding automation and marketing solutions.
With our new AI capabilities,
Bynder’s software… now allows
users to save hours of admin
labor when uploading and
organizing their files, adding
exponentially more value.
Chris Hall
CEO, Bynder
”
“
With Rekognition, Bynder revolutionizes marketing admin tasks with AI capabilities
27. Artfinder is building a world where artists
can make a living doing what they love.
While our artists are able to give
us descriptions, our users may
want to search in ways the artist
hasn’t thought of. We use
Rekognition to obtain objective
labels about an artwork based
on its imagery.
David Tilleyshort
CTO, Artfinder
”
“
With both Rekognition and Amazon ML, Artfinder was able to very rapidly prototype advance
machine learning techniques, with minimum developer time and no upfront infrastructure costs
• A growing catalogue of 300,000
artwork pieces – and visual search a
key part of that.
• Even though Rekognition was
designed to be used for photography,
they have been able to get some
interesting results across their
inventory of paintings, handmade
prints, sculptures, collages, drawings
and photography.
29. Amazon Polly: Text In, Life-like Speech Out
Amazon Polly
“The temperature
in WA is 75°F”
“The temperature
in Washington is 75 degrees
Fahrenheit”
47 voices spread across 24 languages
31. aws polly synthesize-speech
--text "It was nice to live such a wonderful live show."
--output-format mp3
--voice-id Joanna
--text-type text
output.mp3
32. Duolingo voices its language learning service Using Polly
Duolingo is a free language learning service where users
help translate the web and rate translations.
With Amazon Polly our users
benefit from the most lifelike
Text-to-Speech voices
available on the market.
Severin Hacker
CTO, Duolingo
”
“ • Spoken language crucial for
language learning
• Accurate pronunciation matters
• Faster iteration thanks to TTS
• As good as natural human speech
33. ”
“
Royal National Institute of Blind People creates and
distributes accessible information in the form of
synthesized content
Amazon Polly delivers
incredibly lifelike voices which
captivate and engage our
readers.
John Worsfold
Solutions Implementation Manager, RNIB
• RNIB delivers largest library of
audiobooks in the UK for nearly 2 million
people with sight loss
• Naturalness of generated speech is
critical to captivate and engage readers
• No restrictions on speech redistributions
enables RNIB to create and distribute
accessible information in a form of
synthesized content
RNIB provides the largest library in the UK for people with sight loss
34. Amazon ALEXA
(It’s what’s inside Alexa)
3
Natural Language Understanding (NLU) &
Automatic Speech Recognition (ASR) Powered By Deep Learning
35. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
36. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
37. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
3rd Gen:
Intent-oriented
38. Amazon Lex: Speech Recognition
& Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast
39. Amazon Lex: Speech Recognition
& Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
“It will be sunny
and 25°C”
Weather
Forecast
40. Hotel Booking
City New York City
Check In Nov 30th
Check Out Dec 2nd
Hotel Booking
City New York City
Check In
Check Out
“Book a Hotel”
Book Hotel
NYC
“Book a Hotel in
NYC”
Automatic Speech Recognition
Hotel Booking
New York City
Natural Language
Understanding
Intent/Slot
Model
Utterances
“Your hotel is booked
for Nov 30th”
Polly
Confirmation: “Your hotel is
booked for Nov 30th”
a
in
“Can I go ahead with
the booking?”
41.
42. ”
“ Finding missing persons:
~100,000 active missing
persons cases in the U.S.
at any given time
~60% are adults,
~40% are children
• Motorola Solutions applies Amazon
Rekognition, Amazon Polly and Amazon
Lex
• Image analytics and facial recognition
can continually monitor for missing
persons
• Tools that understand natural language
can enable officers to keep eyes up and
hands free
Motorola Solutions is using Amazon AI to help finding missing persons
Motorola Solutions keeps utility workers connected and
visible to each other with real-time voice and data
communication across the smart grid.
All of these IoT devices are small devices with sensors that have little CPU and disk and make the cloud that much more important in supplementing their capabilities...
All of these IoT devices are small devices with sensors that have little CPU and disk and make the cloud that much more important in supplementing their capabilities...
Philips
"At Philips we aim to empower people to take greater control of their health with connected digital health solutions,” says Jeroen Tas, CEO Healthcare Informatics, Solutions and Services, Philips. "Our HealthSuite digital platform already collects and manages the data of over seven million devices. Now that we have AWS IoT, we will greatly accelerate the pursuit of our vision by making it easy to ingest, process, and act upon data from heterogeneous devices in real time. Simply by changing business logic in the cloud, we can now instantly add new intelligence to existing MRI machines, disposable patient monitoring sensors and more. AWS IoT makes it possible for our products, and the care they provide, to grow smarter over time”
Sonos: Video Case Study: https://www.youtube.com/watch?v=C9UVrbOMIZw
All of these IoT devices are small devices with sensors that have little CPU and disk and make the cloud that much more important in supplementing their capabilities...
Whatever is on the device when a customer starts using, that's the compute and options available to them unless they want to try to rewrite or program the device
If you are regular dev and want to program on a device (set up triggers etc), it is hard w/o setting up an outage, so what we find is that you need better compute on the device itself.
Really looking for same programming model as with AWS in devices. Instead of needing to write in new programming model.
programming devices is hard, which makes updates hard
Diverse across devices
Different from what most developers use day to day
Local Compute with Lambda
AWS Greengrass includes support for AWS Lambda and AWS IoT Device Shadows. With Greengrass you can run AWS Lambda functions right on the device to execute code in near real-time.
Secure Communications
AWS Greengrass authenticates and encrypts device data at all points of connection, so that data is never exchanged between devices and the cloud without proven identity. Greengrass uses the same security and access management you are familiar with in AWS, with mutual device authentication and authorization, and secure connectivity to AWS IoT.
Local data caching
Greengrass also includes the functionality of AWS IoT Device Shadows, which create a persistent, virtual version, or “shadow,” of each device that includes the device’s latest state, so that applications or other devices can read messages and interact with the device.
Local Messaging
AWS Greengrass enables messaging between devices on a local network, so they can communicate with each other even when there is no connection to AWS. With Greengrass your devices can process messages and deliver them to another device or to AWS based on business rules you define.
Local Compute with Lambda
AWS Greengrass includes support for AWS Lambda and AWS IoT Device Shadows. With Greengrass you can run AWS Lambda functions right on the device to execute code in near real-time.
Secure Communications
AWS Greengrass authenticates and encrypts device data at all points of connection, so that data is never exchanged between devices and the cloud without proven identity. Greengrass uses the same security and access management you are familiar with in AWS, with mutual device authentication and authorization, and secure connectivity to AWS IoT.
Local data caching
Greengrass also includes the functionality of AWS IoT Device Shadows, which create a persistent, virtual version, or “shadow,” of each device that includes the device’s latest state, so that applications or other devices can read messages and interact with the device.
Local Messaging
AWS Greengrass enables messaging between devices on a local network, so they can communicate with each other even when there is no connection to AWS. With Greengrass your devices can process messages and deliver them to another device or to AWS based on business rules you define.
Smart homes: lots of sensors and devices (light bulbs), which talk to a hub over wifi or bluetooth for orchestration and coordination. Hub talks to AWS as the canonical source for the rules and logic - but you don’t want your lights to stop working or your climate control to break if you lose internet connectivity. GG puts same orchestration and coordination abilities right on the smart hub. (This is how Philips Hue works).
Agriculture: light weight sensors which need low latency orchestration and coordination - such as seed planters on a tractor which need to continually understand the planting depth based on land and weather conditions. Communicate over wired or wifi, bluetooth or using industrial wireless connectivity with a hub in the cab of the truck; don’t want the round trip latency in order to be able to analyze conditions and plant the seeds to the right depth, at the rate required for efficient crop growth.
Manufacturing: where sensors provide a feedback loop to actuators to control a manufacturing process, where simple ad-hoc coordination is needed (no hub); devices can communicate with each other over an ad-hoc ‘mesh’ network (over wifi, bluetooth or using industrial wireless networking), and the exact same programming model, Lambda, can be used for coordination between the devices.
All of these IoT devices are small devices with sensors that have little CPU and disk and make the cloud that much more important in supplementing their capabilities...
Amazon has rich heritage of AI across the company. In the beginning of our retail business we made product recs, optimize pick paths at fulfilment center, xray products (see lyrics), think about alexa and echo devices. People wanted us to expose more and we are going to expose more. We perceive that people will want to build this into their apps. Introducing a family of services: amazon AI
Intro: we've released several pieces already
Transition: And, we see significant amounts of AI and ML workloads happening on AWS
A new collection of tools called AMAZON AI, which brings the power of artificial intelligence, in all its flavors, to all developers. We’re announcing the first three today, focused on making deep learning models as easy as possible to use.
The first is Rekognition.
Lets take a look at how this works…
* upload an image via API or SDK, Rekognition will analyze contents of image and tell you objects inside (person, woman, car, steering wheel)...makes it east to ad advanced search (e.g. give me women driving cars pics)
* will detect faces and number of people so can generate thumbnails and crop faces well
* can detect sentiment and details in faces (smiling, glasses)
* face matching (good for security...e.g. Unlock laptops)
Second is polly, which takes text, and uses deep learning to generate life like speech.
The basics are pretty simple, but the service has deep functionality.
You can send the service a simple it a simple string of text, and it will generate the life like voice in your choice of 47 different voices. But it’s not naive of the context of the text. For example, the text here - ‘WA’ and ‘degree F’, that would sound strange if it were spoken out loud, like I just had to. Instead, Polly will automatically expand the text strings ‘WA’ and ‘degree F’, to ‘Washington’ and ‘degrees fahrenheit’, to create more life like speech. The developer doesn’t have to do anything - just send the text, and get life like voice back.
19 min.
DEEP LEARNING FOR G2P and PROSODY CONTOUR
For phonemes – about use of Machine Learning
For Contour – again – LSTM: We took audio
Mention units adaptation to make sure that units match eacg other
With Lex, any application running on the web, a mobile app, or a device, can send natural language - as both text or speech - to Lex using an API or SDK. Lex will apply ASR and NLU to the incoming message to understand the intent of the user, so to understand what the question is, and map that to a Lambda function which will process the information, and…
Then form a response, which will be passed back to the user as either text, or will use Polly automatically to generate a voice response.
Nikola Tesla: inventor of AC induction motor, early pioneer with radio and X-rays.
Now - talk about learn and be curious - what better way than to turn the entire earth into a huge brain. That’s some think big right there.