SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
Learn how governments, research institutions, and private companies are using AWS to share massive amounts of data publicly. Discover best practices for sharing data in the cloud, how to find publicly available datasets through the Registry of Open Data on AWS, and how you can share your own data through AWS.
Big Data on AWS - To infinity and beyond! - Tel Aviv Summit 2018Amazon Web Services
A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization.
In this session, we will introduce the Data Lake concept and its implementation on AWS.
We will explain the different roles our services play and how they fit into the Data Lake picture.
This document discusses how a company called EarEcstasy modernized their data architecture to enable better business insights and customer experiences. It describes their journey from a traditional B2B model to launching smart earbuds directly to consumers. This required answering new types of questions quickly, so EarEcstasy looked to build a modern data architecture on AWS. The summary outlines three key outcomes: 1) Modernizing and consolidating their data infrastructure, 2) Innovating for new revenues through personalization, and 3) Enabling real-time customer engagement.
Previously, ETL meant using proprietary products with commercial databases and users with specialist skills. Learn how to create ETL data pipelines that can securely consume data at scale while using open source technologies and languages to enable your organisation, team, and data.
Speaker: Paul Macey, Big Data Specialist, AWS
The first step towards knowing your customer is to collect and extract insights and actionable information from your data. Learn how AWS enables you to cost efficiently store any amount of data and build an agile approach to data mining and visualization - helping you to make efficient business decisions and targeted offerings.
SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
Learn how governments, research institutions, and private companies are using AWS to share massive amounts of data publicly. Discover best practices for sharing data in the cloud, how to find publicly available datasets through the Registry of Open Data on AWS, and how you can share your own data through AWS.
Big Data on AWS - To infinity and beyond! - Tel Aviv Summit 2018Amazon Web Services
A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization.
In this session, we will introduce the Data Lake concept and its implementation on AWS.
We will explain the different roles our services play and how they fit into the Data Lake picture.
This document discusses how a company called EarEcstasy modernized their data architecture to enable better business insights and customer experiences. It describes their journey from a traditional B2B model to launching smart earbuds directly to consumers. This required answering new types of questions quickly, so EarEcstasy looked to build a modern data architecture on AWS. The summary outlines three key outcomes: 1) Modernizing and consolidating their data infrastructure, 2) Innovating for new revenues through personalization, and 3) Enabling real-time customer engagement.
Previously, ETL meant using proprietary products with commercial databases and users with specialist skills. Learn how to create ETL data pipelines that can securely consume data at scale while using open source technologies and languages to enable your organisation, team, and data.
Speaker: Paul Macey, Big Data Specialist, AWS
The first step towards knowing your customer is to collect and extract insights and actionable information from your data. Learn how AWS enables you to cost efficiently store any amount of data and build an agile approach to data mining and visualization - helping you to make efficient business decisions and targeted offerings.
The document discusses open data on AWS. It provides an overview of open data on AWS, how shared data can accelerate research, and how to find and share data on AWS. Key points include that AWS cares about open data because customers supply public data to accelerate research and use shared data to create new products; sharing data in the cloud allows users to spend more time on analysis than data acquisition; and the registry of open data on AWS can be used to find shared datasets.
This document discusses using AWS services for industrial IoT and smart manufacturing applications. It provides examples of companies like Fender, Valmet and Volkswagen Group using AWS IoT, machine learning and analytics services to improve operational efficiency, enable predictive maintenance and quality, and gain insights from industrial equipment data. Edge computing solutions with AWS Greengrass are discussed as well for handling data from remote locations with unreliable internet connectivity.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
The document discusses how machine learning and artificial intelligence are becoming the new normal in the financial services industry. It notes that cloud computing provides security benefits over traditional on-premises infrastructure. The document also discusses how machine learning can be used for security, compliance, and fraud detection workloads. Financial institutions are transforming operations on AWS to better serve evolving customer expectations around personalization and experience.
Building data lakes for analytics on AWS - ADB201 - Santa Clara AWS Summit.pdfAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, and real-timing streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases. Hear how leading companies found success with their data lake initiatives.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...AWS Summits
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past you had to provision and scale servers to run your application code install and operate distributed databases and build and run custom software to handle API requests. Now AWS provides a stack of scalable fully-managed services that eliminates these operational complexities. In this session you will learn about the the basics of serverless and especially how your business can benefit from it.
The document discusses how AI and IoT are driving innovation. It notes that AI and IoT allow for more dynamic, flexible and cost-effective warehouse operations compared to traditional methods. Data is the key to optimizing processes, reducing costs and improving customer experiences. The document outlines AWS IoT architecture which connects edge devices to analytics in the cloud, providing secure connectivity, storage, compute and intelligence to gain insights and enable actions. It emphasizes that with AI and IoT, businesses can start with the customer and work backwards to deliver improved digital relationships and experiences.
AWS Data-Driven Insights Learning Series_ANZ Sep 2019 Part 2Amazon Web Services
AWS has been supporting companies across Australia and New Zealand to put their most innovative tools and technologies to work to achieve their business needs and goals. AWS and our ecosystem of partners has helped the likes of CP Mining, IntelliHQ, WesCEF, Oz Minerals, Woodside and many more to modernise their analytics and data architecture in order to successfully generate business value from their data.
This event series aimed to educate customers with a broader understanding of how to build next-gen data lakes and analytics platforms and make connections with AWS.
Building with Purpose-Built Databases: Match Your Workload to the Right DatabaseAmazon Web Services
Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
One of the most important factors to an organization’s success is its ability to extract actionable information from its data. However, the exponential growth of available data has put numerous operational pressures on IT and storage administrators to effectively ingest, transfer, process, store, backup, and archive. AWS offers numerous data transfer and storage services and solutions that can scale with your data growth and help meet security and compliance requirements. Attend this session to learn how to use AWS storage services to manage the entire lifecycle of your data, from ingestion to archive.
AWS 월드와이드 공공부문 고객 사례 발표: 정부기관 및 국립연구소::Peter Moore,Kento Aida,Craig Fox::AWS ...Amazon Web Services Korea
The document discusses Amazon Web Services (AWS) and its business, customers, and solutions for the public sector. Some key points include:
- AWS has a $20 billion annual revenue run rate with 45% year-over-year growth and millions of active customers per month.
- It serves large enterprise and startup customers globally as well as many public sector organizations around the world and in the Asia Pacific region.
- AWS can help the public sector achieve goals like disruptive innovation, cost savings, security and compliance, developing skills, increasing citizen engagement, and maximizing public sector missions.
The document discusses the evolution from monolithic architectures to microservices and functions. It covers the journey to microservices, including breaking up monolithic systems, data storage considerations, and challenges. It then discusses how functions can be used to further decompose microservices for improved scalability, flexibility and cost optimization. The presentation argues that adopting these approaches can help organizations gradually transform their systems and keep up with changing demands.
AWS IoT: servizi costruiti per migliorare le performance di businessAmazon Web Services
In questa sessione presenteremo la suite di servizi della piattaforma AWS IoT. Approfondiremo come AWS IoT aiuta i nostri clienti ad ottenere dei solidi vantaggi di business come: accedere a nuove opportunità di business, sviluppare nuovi prodotti e servizi, migliorare le relazioni con i propri Clienti, velocizzare i processi decisionali e creare una cultura aziendale basata sull'utilizzo intelligente dei dati.
Building Modern Applications on AWS 2019 - Sydney
Building Modern Applications on AWS 2019 - Brisbane
Building Modern Applications on AWS 2019 - Melbourne
FY19Q3 Transformation Day - Infrastructure Modernisation TrackAmazon Web Services
AWS Transformation Day explores how the cloud is transforming organisations, industries and the world around us. The one-day event brings together business and technology leaders to examine the disruptive opportunities of cloud for today’s enterprises.
This event was held in Sydney on 3 September and Melbourne on 5 September 2019.
The document discusses open data on AWS. It provides an overview of open data on AWS, how shared data can accelerate research, and how to find and share data on AWS. Key points include that AWS cares about open data because customers supply public data to accelerate research and use shared data to create new products; sharing data in the cloud allows users to spend more time on analysis than data acquisition; and the registry of open data on AWS can be used to find shared datasets.
This document discusses using AWS services for industrial IoT and smart manufacturing applications. It provides examples of companies like Fender, Valmet and Volkswagen Group using AWS IoT, machine learning and analytics services to improve operational efficiency, enable predictive maintenance and quality, and gain insights from industrial equipment data. Edge computing solutions with AWS Greengrass are discussed as well for handling data from remote locations with unreliable internet connectivity.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
The document discusses how machine learning and artificial intelligence are becoming the new normal in the financial services industry. It notes that cloud computing provides security benefits over traditional on-premises infrastructure. The document also discusses how machine learning can be used for security, compliance, and fraud detection workloads. Financial institutions are transforming operations on AWS to better serve evolving customer expectations around personalization and experience.
Building data lakes for analytics on AWS - ADB201 - Santa Clara AWS Summit.pdfAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, and real-timing streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases. Hear how leading companies found success with their data lake initiatives.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...AWS Summits
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past you had to provision and scale servers to run your application code install and operate distributed databases and build and run custom software to handle API requests. Now AWS provides a stack of scalable fully-managed services that eliminates these operational complexities. In this session you will learn about the the basics of serverless and especially how your business can benefit from it.
The document discusses how AI and IoT are driving innovation. It notes that AI and IoT allow for more dynamic, flexible and cost-effective warehouse operations compared to traditional methods. Data is the key to optimizing processes, reducing costs and improving customer experiences. The document outlines AWS IoT architecture which connects edge devices to analytics in the cloud, providing secure connectivity, storage, compute and intelligence to gain insights and enable actions. It emphasizes that with AI and IoT, businesses can start with the customer and work backwards to deliver improved digital relationships and experiences.
AWS Data-Driven Insights Learning Series_ANZ Sep 2019 Part 2Amazon Web Services
AWS has been supporting companies across Australia and New Zealand to put their most innovative tools and technologies to work to achieve their business needs and goals. AWS and our ecosystem of partners has helped the likes of CP Mining, IntelliHQ, WesCEF, Oz Minerals, Woodside and many more to modernise their analytics and data architecture in order to successfully generate business value from their data.
This event series aimed to educate customers with a broader understanding of how to build next-gen data lakes and analytics platforms and make connections with AWS.
Building with Purpose-Built Databases: Match Your Workload to the Right DatabaseAmazon Web Services
Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
One of the most important factors to an organization’s success is its ability to extract actionable information from its data. However, the exponential growth of available data has put numerous operational pressures on IT and storage administrators to effectively ingest, transfer, process, store, backup, and archive. AWS offers numerous data transfer and storage services and solutions that can scale with your data growth and help meet security and compliance requirements. Attend this session to learn how to use AWS storage services to manage the entire lifecycle of your data, from ingestion to archive.
AWS 월드와이드 공공부문 고객 사례 발표: 정부기관 및 국립연구소::Peter Moore,Kento Aida,Craig Fox::AWS ...Amazon Web Services Korea
The document discusses Amazon Web Services (AWS) and its business, customers, and solutions for the public sector. Some key points include:
- AWS has a $20 billion annual revenue run rate with 45% year-over-year growth and millions of active customers per month.
- It serves large enterprise and startup customers globally as well as many public sector organizations around the world and in the Asia Pacific region.
- AWS can help the public sector achieve goals like disruptive innovation, cost savings, security and compliance, developing skills, increasing citizen engagement, and maximizing public sector missions.
The document discusses the evolution from monolithic architectures to microservices and functions. It covers the journey to microservices, including breaking up monolithic systems, data storage considerations, and challenges. It then discusses how functions can be used to further decompose microservices for improved scalability, flexibility and cost optimization. The presentation argues that adopting these approaches can help organizations gradually transform their systems and keep up with changing demands.
AWS IoT: servizi costruiti per migliorare le performance di businessAmazon Web Services
In questa sessione presenteremo la suite di servizi della piattaforma AWS IoT. Approfondiremo come AWS IoT aiuta i nostri clienti ad ottenere dei solidi vantaggi di business come: accedere a nuove opportunità di business, sviluppare nuovi prodotti e servizi, migliorare le relazioni con i propri Clienti, velocizzare i processi decisionali e creare una cultura aziendale basata sull'utilizzo intelligente dei dati.
Building Modern Applications on AWS 2019 - Sydney
Building Modern Applications on AWS 2019 - Brisbane
Building Modern Applications on AWS 2019 - Melbourne
FY19Q3 Transformation Day - Infrastructure Modernisation TrackAmazon Web Services
AWS Transformation Day explores how the cloud is transforming organisations, industries and the world around us. The one-day event brings together business and technology leaders to examine the disruptive opportunities of cloud for today’s enterprises.
This event was held in Sydney on 3 September and Melbourne on 5 September 2019.
The Next Wave of Retailing, An AWS Perspective - Tom Litchford 월드와이드 리테일 사업 개...Amazon Web Services Korea
The Next Wave of Retailing, An AWS Perspective
Tom Litchford 월드와이드 리테일 사업 개발 디렉터, AWS
현재의 유통업은 소비자의 항상 변하는 쇼핑 행동과 즉각적인 만족감에 대한 요구에 필요한 디지털 변환의 첨단에 서 있습니다. AWS에서 리테일을 담당하는 글로벌 사업 개발 담당자인 Tom Litchford와 함께 AWS와 유통 고객이 함께 차세대 매장을 설계하여 차별화 된 고객 경험과 운영 성과를 제공하는 것을 포함하여 어떻게 함께 클라우드 여행을 통해 협력해 왔는지를 공유합니다.
Culture of Innovation at Amazon - AWS Startup Day Johannesburg.pdfAmazon Web Services
In this session, we cover some of the mechanisms and best practices that help us innovate at Amazon. You'll get insights on how we structure our teams for autonomy and speed, how we 'work backwards' from our customers when deciding where to focus engineering efforts and how these mechanisms can be applied to running your startup.
AWS Initiate - Inovação Rápida: O caso de negócio para desenvolvimento de apl...Amazon Web Services LATAM
The document discusses best practices for enabling rapid innovation through modern application development techniques. It advocates decomposing monolithic applications into microservices to improve agility, experimentation, and scalability. Other recommendations include using serverless technologies for infrastructure management, automating security to address vulnerabilities, and establishing continuous delivery practices through DevOps. The document uses Amazon's approach to building applications as an example, highlighting how techniques like microservices, serverless computing, and DevOps have allowed Amazon to rapidly innovate and evolve its business.
This document summarizes a presentation on linear streaming technology innovations from the Japanese television industry. It discusses the challenges of migrating television services to over-the-top (OTT) delivery, including integrating with on-premise encoders, meeting strict alert times, and providing frame-accurate catch-up TV within 15 minutes. It describes the solutions from KKStream using AWS infrastructure like DirectConnect, MediaConnect, MediaLive and MediaPackage to securely ingest live streams, switch between redundant streams, and harvest and trim live content to enable frame-accurate catch-up TV without manual effort. Monitoring metrics ensure stability and alerts are sent if thresholds are exceeded. Migrating television to the cloud can help reach larger audiences
The document discusses Amazon's approach to DevOps. It explains that Amazon needed to innovate rapidly to support thousands of teams making millions of deployments per year using microservices and continuous delivery practices. Amazon broke processes into fine-grained units and assigned them to autonomous two-pizza teams. These teams adopted agile methodologies and learned to work together across functions like development, operations, security, and quality assurance using a DevOps approach. Amazon also built shared tools, services, and best practices to support these teams in their DevOps journey.
The document discusses Amazon's approach to DevOps. It begins with an agenda that includes an overview of DevOps, how Amazon implemented it, and a demo. It then discusses how Amazon broke up monolithic applications into microservices owned by autonomous teams. These teams adopted agile methodologies and a DevOps culture of collaboration between development and operations. Amazon built a large set of tools to support this approach and shares its learnings and practices. The document concludes that DevOps is a continuous journey and provides resources to learn more.
Initiate Edinburgh 2019 - The Culture of Innovation at AmazonAmazon Web Services
Customers often ask us how they can innovate "like Amazon". From its humble beginnings as a startup in a garage, Amazon has not only innovated across e-commerce, but also introduced new, diverse businesses beyond e-commerce. Over the years, Amazon has improved its ability to take on hard problems and find innovative ways to solve them. AWS is one such example. We have taken something as central and specialized as operating a datacenter, and pushed it to the edge as a utility. When technology becomes a utility, it becomes ubiquitous, allowing more people to participate in innovation. This talk will discuss how Amazon approaches innovation, with its mechanisms, architecture, culture, and organization, with an emphasis on how some of these factors can help other organizations. Our customer will also share how this approach has helped them inspire change within their businesses.
This document discusses Amazon's approach to DevOps. It explains how Amazon transitioned from monolithic development to microservices and empowered small, cross-functional teams to work independently and deploy code frequently using agile methodologies and DevOps practices. It outlines Amazon's organizational changes, including establishing 2-pizza teams, encouraging collaboration over silos, and building shared tools and practices. The document also provides lessons learned from Amazon's experience and recommends starting a DevOps transformation by aligning the organization, establishing guardrails, and learning through a small pilot team.
DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.
AWS Initiate Day Manchester 2019 – The Culture of Innovation at AmazonAmazon Web Services
The document discusses Amazon's culture of innovation and how it drives customer success. It emphasizes that Amazon prioritizes customer obsession in its approach to innovation. It highlights key beliefs such as thinking long-term, being willing to fail, and being willing to be misunderstood for a long time. The document also outlines Amazon's mechanisms for innovation including working backwards from the customer and having self-service platforms without gatekeepers. It notes Amazon's architectural approach of using micro-services and loosely coupled applications. Finally, it discusses how Amazon organizes for innovation through experimentation, small teams, and a culture of builders and entrepreneurs.
AWS Initiate Day Dublin 2019 – The Culture of Innovation at AmazonAmazon Web Services
The document discusses Amazon's culture of innovation and how it drives customer success. It emphasizes that Amazon prioritizes customer obsession, long-term thinking, willingness to fail, and being misunderstood for long periods of time. It also highlights how Amazon organizes for innovation through experimentation in small teams, a working backwards process from the customer, microservices architecture, and self-service platforms without gatekeepers. The goal is to decentralize innovation throughout the company and empower all employees to invent on behalf of customers.
The document discusses transitioning from a monolithic architecture to microservices and containers. It describes how Moka transformed its architecture using AWS services like ECS, Fargate, and Step Functions. This allowed Moka to scale its business 600% in a year while improving latency, innovation, and developer productivity through a more flexible architecture. The document also provides recommendations around configurations, CI/CD pipelines, and coordinating microservices.
The document discusses Amazon Go, a cashier-less convenience store developed by Amazon, as a case study for using machine learning and IoT on AWS. It provides an overview of the challenges in building Amazon Go, including identifying customers and items taken for purchase without traditional checkout methods. It then discusses retail trends driving the need for AI and IoT solutions. The remainder of the document offers tips for developing AI and IoT projects, including focusing on business outcomes, considering related AWS services, and learning through hands-on projects to avoid prolonged analysis.
How do I grow with my organization and meet my organization's needs? How do I rise to the new challenges before me? In this session we discuss the differences in preparing to operate in the cloud, what your operational priorities need to be, how to start designing for operations, and building your operational readiness. We will walk you through the process of how to launch your new life in the cloud. You will learn to make the early choices that lay the foundations for a successful adoption of cloud services. At the end of this session you will understand the key considerations when planning your personal journey to the cloud. This session is for leaders, operations, service owners and anyone interested in how to get started in the cloud to ensure successful business outcomes.
The document discusses adopting a hybrid cloud strategy using containers. It covers:
- Benefits of containers for accelerating development, building modern apps, and automating operations at scale
- Factors for success including culture, skills, organization, and using a product mindset over projects
- How Amazon EKS can provide a hybrid computing environment integrating on-premises and cloud resources
- Questions to consider for migrating data between environments like what/where data is moving and bandwidth needs
Inovação Rápida: O caso de negócio para desenvolvimento de aplicações modernas.Amazon Web Services LATAM
The document discusses modern application development using AWS services. It highlights how AWS enables rapid innovation through services that provide scalable computing, storage, databases, and other capabilities. It also discusses how adopting a cloud-native approach using microservices and containerization can help organizations innovate faster by improving agility, velocity, and quality. Specific AWS services are mentioned for building serverless and containerized microservices applications, as well as for development, delivery, security, and observability. Case studies are provided on how companies like Coursera have been able to innovate and scale using AWS.
Similar to Migrate-Critical-Workload-to-AWS-From-Domain-Driven-Design-perspective (20)
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.