"Here are the steps to book a hotel using Amazon Lex:
1. Define the intent schema and slot types that capture the parameters needed for a hotel booking, such as city, dates, etc.
2. Build utterances for examples of how a user might request a hotel booking. Train the intent model.
3. Configure the fulfillment Lambda function to process the intent and slot information and perform the actual booking.
4. Test the bot by having conversations with Amazon Lex where you provide sample requests and receive responses from the fulfillment function.
5. Deploy the bot for end users to interact with via text or voice for their hotel booking needs."
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address different use cases and needs. This deck will help you to gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition, and learn about newly announced services Amazon Rekognition Video, Amazon Comprehend, Amazon Translate, and Amazon Transcribe. This presentation took place in Australia and New Zealand as part of the AWS Learning Series in 2018.
Driving AI Innovation with Machine Learning powered by AWS. AI is opening up new insights and efficiencies in enterprises of every industry. Learn how enterprises are using AWS’ machine learning capabilities combined with its deep storage, compute, analytics, and security services to deliver intelligent applications today. Strategies to develop ML expertise within your org will also be discussed.
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address different use cases and needs. This deck will help you to gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition, and learn about newly announced services Amazon Rekognition Video, Amazon Comprehend, Amazon Translate, and Amazon Transcribe. This presentation took place in Australia and New Zealand as part of the AWS Learning Series in 2018.
Driving AI Innovation with Machine Learning powered by AWS. AI is opening up new insights and efficiencies in enterprises of every industry. Learn how enterprises are using AWS’ machine learning capabilities combined with its deep storage, compute, analytics, and security services to deliver intelligent applications today. Strategies to develop ML expertise within your org will also be discussed.
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
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We run an online training program for young adults. This is a 30 hour training and virtual internships program where participants are taught artificial intelligence and machine learning concepts and algorithms along with Python programming.
Participants with the help of a mentor end up doing a project by coming up with a business model and then creating a working model.
Amazon Connect for IT support: Johnson & Johnson case study - SVC201 - New Yo...Amazon Web Services
Johnson & Johnson partnered with Atos Digital Workplace to drive personalization and automation around their IT help desk by using Amazon Connect. Join us and learn how the Amazon Connect platform enabled the capabilities to transform the end-user experience.
AWS IoT is a managed cloud platform that allows connected IoT devices to easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage the AWS IoT service to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and Amazon ElasticSearch Service.
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 AWS IoT and a physical world device for human interaction and environmental awareness.
Creating an Effective Roadmap for Your Cloud Journey (ENT225-R1) - AWS re:Inv...Amazon Web Services
The Cloud Journey Workshop is an experiential session that works through a representative use case of a company's cloud adoption journey. In this session, participants divide into teams, and each team makes practical recommendations for how to plan and execute their journey to the cloud so they can meet business expectations. By participating, you learn best practices on organization transformation, cloud foundations establishment, migration methodology, and application landscape optimization from AWS facilitators. You also have the opportunity to share tips with other AWS customers to make your cloud journey successful.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Implementing your landing zone - FND210 - AWS re:Inforce 2019 Amazon Web Services
One of the first questions that customers ask during their cloud journeys is how to establish and build AWS environments or landing zones. In this session, we discuss best practices for establishing a scalable approach and necessary landing zone framework. We present an overview of the approach and solutions to help you implement a landing zone. We also introduce the AWS Landing Zone, which is an automated solution for setting up a robust, flexible AWS environment, and we discuss how it reduces the time needed to get started. Finally, we provide a high level overview of AWS Control Tower and how it fits into the overall approach.
This session will introduce you to Amazon Rekognition, a service that makes it easy to add deep learning image analysis to your applications. Amazon Rekognition is based on the same proven, highly scalable, deep learning technology developed by Amazon’s
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
Speaker: Romulo Gapuz, Solutions Architect, AWS
Up to 80% of enterprise IT budgets are spent on maintaining existing workloads and keeping the lights on versus focusing on new products and services to better serve customers. Migrating existing workloads to the cloud provide a lever to do that, providing efficiencies and benefits on your existing workloads.
What if you could focus your attention and resources on differentiating your company in the marketplace? What if you could innovate at startup-like speed? And finally, what if you could dramatically reduce the risks inherent in your present infrastructure?
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
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<Management Track>
Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services
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Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and ML technologies within the reach of every developer. In this session, we will dive deep into 2 specific AWS services: Amazon Lex and Amazon Polly. Amazon Lex uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots. Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
Artificial Intelligence and Machine Learning Training & Virtual Internships P...Ravikanth Jagarlapudi
We run an online training program for young adults. This is a 30 hour training and virtual internships program where participants are taught artificial intelligence and machine learning concepts and algorithms along with Python programming.
Participants with the help of a mentor end up doing a project by coming up with a business model and then creating a working model.
Amazon Connect for IT support: Johnson & Johnson case study - SVC201 - New Yo...Amazon Web Services
Johnson & Johnson partnered with Atos Digital Workplace to drive personalization and automation around their IT help desk by using Amazon Connect. Join us and learn how the Amazon Connect platform enabled the capabilities to transform the end-user experience.
AWS IoT is a managed cloud platform that allows connected IoT devices to easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage the AWS IoT service to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and Amazon ElasticSearch Service.
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 AWS IoT and a physical world device for human interaction and environmental awareness.
Creating an Effective Roadmap for Your Cloud Journey (ENT225-R1) - AWS re:Inv...Amazon Web Services
The Cloud Journey Workshop is an experiential session that works through a representative use case of a company's cloud adoption journey. In this session, participants divide into teams, and each team makes practical recommendations for how to plan and execute their journey to the cloud so they can meet business expectations. By participating, you learn best practices on organization transformation, cloud foundations establishment, migration methodology, and application landscape optimization from AWS facilitators. You also have the opportunity to share tips with other AWS customers to make your cloud journey successful.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Implementing your landing zone - FND210 - AWS re:Inforce 2019 Amazon Web Services
One of the first questions that customers ask during their cloud journeys is how to establish and build AWS environments or landing zones. In this session, we discuss best practices for establishing a scalable approach and necessary landing zone framework. We present an overview of the approach and solutions to help you implement a landing zone. We also introduce the AWS Landing Zone, which is an automated solution for setting up a robust, flexible AWS environment, and we discuss how it reduces the time needed to get started. Finally, we provide a high level overview of AWS Control Tower and how it fits into the overall approach.
This session will introduce you to Amazon Rekognition, a service that makes it easy to add deep learning image analysis to your applications. Amazon Rekognition is based on the same proven, highly scalable, deep learning technology developed by Amazon’s
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
Speaker: Romulo Gapuz, Solutions Architect, AWS
Up to 80% of enterprise IT budgets are spent on maintaining existing workloads and keeping the lights on versus focusing on new products and services to better serve customers. Migrating existing workloads to the cloud provide a lever to do that, providing efficiencies and benefits on your existing workloads.
What if you could focus your attention and resources on differentiating your company in the marketplace? What if you could innovate at startup-like speed? And finally, what if you could dramatically reduce the risks inherent in your present infrastructure?
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
Building the Business of the Future: Leveraging A.I. and Machine Learning - A...Amazon Web Services
<Management Track>
Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the stuff of science fiction. Organizations are increasingly using A.I. and Machine Learning to drive innovation -- namely, Amazon.com's retail experience. Join us for an inside look at how Amazon thinks about this technology, and gain insight into a range of new AI/ML services offered by AWS for use in your own business.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and ML technologies within the reach of every developer. In this session, we will dive deep into 2 specific AWS services: Amazon Lex and Amazon Polly. Amazon Lex uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots. Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products.
Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon Web Services
講師: Jhen-Wei Huang, Solutions Architect, Amazon Web Services
Do your customers love you?
Recommendations and Voice of Customer
Analytics and AI with AWS
GPSTEC201_Building an Artificial Intelligence Practice for Consulting PartnersAmazon Web Services
Companies around the world are looking at using artificial intelligence and machine learning to launch new innovative products and services and to drive efficiencies via automation in their businesses. Come to this session to understand why you should consider building an AI/ML practice in your consulting company. Learn the importance of having strong data engineering skills, including data annotation, and get some tips on building a data science team that can deliver customer projects.
ATC302_How to Leverage AWS Machine Learning Services to Analyze and Optimize ...Amazon Web Services
In this session, you’ll learn how AdTech companies use AWS services like Glue, Athena, Quicksight, and EMR to analyze your Google DoubleClick Campaign Manager data at scale without the burden of infrastructure or worries about server maintenance. We’ll live-process a click stream so you can see how Machine Learning can help maximize your revenue by finding the most optimal path of a campaign and we’ll look at a real world demo from A9’s Advertising Science Team of how they use the data to build Look-alike Model in their projects.
Speaker: Osemeke Isibor, Solutions Architect, AWS
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and text-to-speech (TTS) with Amazon Polly, visual search and image recognition with Amazon Rekognition, and developer-focused machine learning with Amazon Machine Learning. In this talk you will learn about these services and see demos of their capabilities
Building the Organisation of the Future: Leveraging Artificial Intelligence a...Amazon Web Services
Artificial intelligence and machine learning are no longer the stuff of science fiction. Organisations of all sizes are using these tools to create innovative artificial intelligences applications – namely, Amazon.com's own retail experience. Join us for an inside look at how Amazon thinks about this technology, and hear from Skinvision on how they’re using machine learning for early skin-cancer detection. Through these stories, gain insight into a range of new machine learning services on AWS for use in your own business.
Breght Boschker, CTO, Skinvision
Miguel Rojo Rossi, Solutions Architect Lead, AWS
Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organisation get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organisation in more impactful ways.
Artificial Intelligence (Machine Learning) on AWS: How to StartVladimir Simek
Amazon has been investing deeply in artificial intelligence (AI) for over 20 years. Machine learning (ML) algorithms drive many of its internal systems. It is also core to the capabilities Amazon's customers experience – from the path optimization in the fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, drone initiative Prime Air, and the new retail experience Amazon Go. This is just the beginning. Amazon's mission is to share learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
Financial services companies are using machine learning to reduce fraud, streamline processes, and improve their bottom line. AWS provides tools that help them easily use AI tools like MXNet and Tensor Flow to perform predictive analytics, clustering, and more advanced data analyses. In this session, hear how IHS Markit has used machine learning on AWS to help global banking institutions manage their commodities portfolios. Learn how Amazon Machine Learning can take the hassle out of AI.
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Workshop Build an Image-Based Automatic Alert System with Amazon Rekognition:...Amazon Web Services
Machine Learning Workshops at the San Francisco Loft
Build an Image-Based Automatic Alert System with Amazon Rekognition
This hands-on workshop will walk through how to build a solution that listens and captures images from Twitter, and then compares those images against a reference image to automatically notify you about a new post featuring your favorite celebrity. Additionally, we will integrate sentiment analysis into this image-based automatic alert system in order to gauge whether the determined celebrities are happy, sad, etc. in the posted image.
Level: 200-300
Speakers:
Wayne Davis - Solutions Architect, AWS
Tristan Li - Solutions Architect, AWS
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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.
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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.
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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
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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.
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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.
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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.