How do you build AI applications without machine learning skills? In this workshop, you get hands-on experience using AI tools for text-to-speech, translation, natural language processing, and personalization. You also learn some practical ways to integrate these AI capabilities into common use cases, such as contact center speech analytics, social media analytics, and personalized recommendations. To participate in this workshop, you must have an AWS account. We provide you with credits.
IoT transformation begins at home, but how can you get started quickly? Voice is a natural interface to interact not just with the world around us but also with physical assets and things, such as connected home devices like lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using AWS IoT services and the Alexa Skills Kit. By the end of the session, you’ll have a set of best practices for how to build IoT products in the connected home.
Data modeling with Amazon DynamoDB - ADB301 - New York AWS SummitAmazon Web Services
Amazon DynamoDB is a fully managed NoSQL database that provides fast, consistent performance as it scales. Modeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. In this session, we review the key principles for modeling your DynamoDB tables and also teach you some practical patterns to use in your data models.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
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AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Get hands-on with AWS DeepRacer and compete in the AWS DeepRacer League - AIM...Amazon Web Services
Get behind your keyboard for an immersive experience with AWS DeepRacer and reinforcement learning. In this workshop, developers with no prior machine-learning experience can acquire new skills and apply their knowledge in a fun and exciting way. Join a pit crew and build and train ML models that you can take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines—the race is on! Bring your laptop.
Increase the value of video using ML and AWS media services - SVC301 - Santa ...Amazon Web Services
With the advancement of machine learning applications, new business opportunities are rapidly emerging in media. In this session, learn how the AWS Media2Cloud solution can save time and reduce costs through setting up a serverless end-to-end ingest workflow to move your video assets and associated metadata to the cloud. Gain insight into how to make those assets even more valuable by enabling searching and indexing on your video library, and learn how to use Amazon Transcribe and Amazon Translate to take your live-streaming workflows to the next level with expert instruction on how to enable automatically created multi-language subtitles.
IoT transformation begins at home, but how can you get started quickly? Voice is a natural interface to interact not just with the world around us but also with physical assets and things, such as connected home devices like lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using AWS IoT services and the Alexa Skills Kit. By the end of the session, you’ll have a set of best practices for how to build IoT products in the connected home.
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Amazon DynamoDB is a fully managed NoSQL database that provides fast, consistent performance as it scales. Modeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. In this session, we review the key principles for modeling your DynamoDB tables and also teach you some practical patterns to use in your data models.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Get hands-on with AWS DeepRacer and compete in the AWS DeepRacer League - AIM...Amazon Web Services
Get behind your keyboard for an immersive experience with AWS DeepRacer and reinforcement learning. In this workshop, developers with no prior machine-learning experience can acquire new skills and apply their knowledge in a fun and exciting way. Join a pit crew and build and train ML models that you can take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines—the race is on! Bring your laptop.
Increase the value of video using ML and AWS media services - SVC301 - Santa ...Amazon Web Services
With the advancement of machine learning applications, new business opportunities are rapidly emerging in media. In this session, learn how the AWS Media2Cloud solution can save time and reduce costs through setting up a serverless end-to-end ingest workflow to move your video assets and associated metadata to the cloud. Gain insight into how to make those assets even more valuable by enabling searching and indexing on your video library, and learn how to use Amazon Transcribe and Amazon Translate to take your live-streaming workflows to the next level with expert instruction on how to enable automatically created multi-language subtitles.
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Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or the risks in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
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Based on NuData Security’s experience analyzing internet traffic, the company estimates that more than half is fake, which translates into significant fraudulent activity around login and authentication. Unfortunately, conventional username/password-based authentication is unreliable, and multifactor authentication adds user friction. Is there a way to solve account takeover, automated attacks, and known-user recognition without compromising user experience? NuData has taken a cloud-native approach to detecting identity threats and preventing fraud. Learn how the company built an AI/ML-powered platform that enables rapid response to an ever-changing attack landscape and accelerates innovation to crush attack vectors at any scale.
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AI has already been integrated into many use cases, but we've just scratched the surface of what's possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying; 2) document analysis and processing to move beyond the limitations of traditional OCR; and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the media, healthcare, and financial services industries.
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Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. In this chalk talk, learn about EC2 A1 instances, understand the use cases, and watch demonstrations of how easy it can be to migrate and run your workloads on EC2 A1. Discussion and questions are encouraged.
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Gaining insights into your customers provides a low-cost way to acquire leads, improve website traffic, develop customer relationships, and improve customer service, enabling you to improve the products or services that you provide. In this chalk talk, we walk through how to leverage AWS AI services to build an intelligent serverless pipeline and a social media dashboard, giving you customer insights. We demonstrate how to ingest data from both Twitter and Reddit, and we show you how to add social media sources, translate between languages, analyze sentiment, entities, and key phrases, and how to build a dashboard using this information. Join us as we step through the architecture and provide code examples at each layer.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
In this session, we discuss the current challenges facing customers who want to enable their high performance computing (HPC) and machine learning workloads for the cloud, and we compare how the different cloud services being developed meet these challenges. We share real-world examples to show the value that the cloud brings to HPC for such areas as risk management and catastrophe planning.
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Industry 4.0 is here, and organizations are rapidly automating factory floors, machinery, and production lines. Companies are implementing IoT across industries such as Oil and Gas, Manufacturing, and Agriculture. In this session, we walk you through key use cases for industrial applications, such as predictive maintenance, manufacturing quality, and process monitoring. Along the way, we show how the AWS industrial IoT reference architecture is incorporated to build your industrial application.
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Building home security solutions at scale, ft. Comcast - SVC206 - New York AW...Amazon Web Services
IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.
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Accurate forecasting and personalization provides many opportunities. At Amazon, we’ve used our expertise to deliver Amazon Forecast and Amazon Personalize. Amazon Forecast provides you with forecasts produced by machine learning (ML) that are up to 50% more accurate than traditional methods. Amazon Personalize can create individualized recommendations for each of your customers. You don’t need ML to get started because both use sophisticated techniques to analyze your data, select the right algorithm, and automatically train a custom model that’s specific to your use case. Learn how to get started with these services and how AWS customers are using them today.
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Machine learning (ML) provides innovation for every business. Until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker—a fully managed service that enables developers to build, train, and deploy ML models at scale—overcomes these barriers. We review its capabilities across data labeling, model building, model training, tuning, and production hosting. We also discuss the details of the modules within Amazon SageMaker, assisting developers through the steps of the ML workflow.
Building enterprise solutions with blockchain technology - SVC217 - New York ...Amazon Web Services
Blockchain technology is evolving rapidly. Are you ready to take advantage of blockchain’s use cases for the enterprise? In this session, learn about blockchain and its enterprise use cases, how AWS views blockchain technology, and learn about our services and about the features of our new managed blockchain service, Amazon Managed Blockchain, which makes it easy to build and manage scalable Hyperledger Fabric networks on AWS.
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Based on NuData Security’s experience analyzing internet traffic, the company estimates that more than half is fake, which translates into significant fraudulent activity around login and authentication. Unfortunately, conventional username/password-based authentication is unreliable, and multifactor authentication adds user friction. Is there a way to solve account takeover, automated attacks, and known-user recognition without compromising user experience? NuData has taken a cloud-native approach to detecting identity threats and preventing fraud. Learn how the company built an AI/ML-powered platform that enables rapid response to an ever-changing attack landscape and accelerates innovation to crush attack vectors at any scale.
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AI has already been integrated into many use cases, but we’ve only scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: “voice of the customer” analytics to better understand what your customers are thinking and saying, document analysis and processing to move beyond the limitations of traditional OCR, and chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI within the Media, Healthcare, and Financial Services industries.
Adding intelligence to applications - AIM201 - Chicago AWS SummitAmazon Web Services
AI has already been integrated into many use cases, but we've just scratched the surface of what's possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying; 2) document analysis and processing to move beyond the limitations of traditional OCR; and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the media, healthcare, and financial services industries.
Easily add intelligence to your applications using pre-trained AI services for computer vision, speech, translation, transcription, natural language processing, and conversational chatbots. No machine learning skills required.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.Automating the provisioning, configuration and deployment of complex applications requires some design choices on top of AWS services. This presentation discusses how to implement modularity, reliability and security into continuous delivery pipelines ("DevSecOps"). Learn how to automate application delivery using AWS CloudFormation and other tools from Amazon Web Services.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Easily add intelligence to your applications using pre-trained AI services for computer vision, speech, translation, transcription, natural language processing, and conversational chatbots. No machine learning skills required.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Machine learning for developers & data scientists with Amazon SageMaker - AIM...Amazon Web Services
Machine learning (ML) offers innovation for every business. But until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker, a fully managed service that enables developers and data scientists to build, train, and deploy ML models at scale, overcomes these barriers. We review its capabilities, including data labeling, model building, model training, tuning, and production hosting.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Breaking Voice and Language Barriers with AI - Chatbot Summit Tel AvivBoaz Ziniman
AI and Machine learning allow developers to introduce new voice and language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience.
This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and connect to a multilingual call center that can be expended to new languages in minutes.
Presentación a cargo de Miguel Rojo, de Amazon Web Services, en el 33er Encuentro de la Economía Digital y las Telecomunicaciones organizado por AMETIC y Santander Empresas en colaboración con la UIMP
Drive Digital Transformation Using Machine LearningAWS Summits
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Alex Coqueiro, Senior Manager Solutions Architect, Amazon Web Services
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Amazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Use AI to create better customer experiences. Support contact centre modernization, conversational interfaces, crowd analytics, process automation, and content moderation with AI and ML.
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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
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.