The document provides an overview of artificial intelligence (AI) and machine learning, including key milestones in the development of AI and deep learning techniques. It discusses early pioneers in AI from the 1950s and developments that enabled recent advances, such as increased data, GPUs, cloud computing, and algorithms. Examples are given of applying deep learning techniques to problems like image recognition, natural language processing, and generating images/text. The document also discusses Amazon AI services for vision, speech, text analysis and language translation that make ML accessible.
Learn how you can use AWS to adapt to a changing interconnected market, and take advantage of global responsiveness and minimal barriers to innovation. AWS can help you create value for the business in addition to saving costs on infrastructure. Gain insights from lessons learned and recommendations on how to accelerate the path to business value.
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 summarizes an AWS user group event held in Reykjavík, Iceland. It included keynotes on AWS services and computing history. There were technical and business tracks on topics like AWS foundations, security, databases, and going serverless. The event aimed to support Nordic customers and provide training and professional services in the region. Slides and surveys were available after the event.
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.
Training Overview:
This free, online training will provide an introduction to the core AWS services for compute, storage, database, and networking. Our AWS technical expert will provide an overview of AWS, sharing key features, use cases, best practices, and walk through technical demos. There will be AWS experts available to answer your questions one-on-one.
Who should attend:
Virtual AWSome Day is ideal for IT managers, system engineers, system administrators, and architects who are eager to learn more about AWS cloud computing.
In this session, we cover the most common cloud security questions that we hear from customers. We provide detailed answers for each question, distilled from our practical experience working with organizations around the world. This session is for everyone who is curious about the cloud, cautious about the cloud, or excited about the cloud.
The document discusses various AWS services for migrating data to the cloud, including AWS Direct Connect, AWS DataSync, the AWS Snowball family, AWS Transfer for SFTP, and AWS Storage Gateway. It provides overviews and examples of how each service can be used to efficiently transfer data online or offline through the network or physical devices. The document also addresses common questions around data migration and highlights use cases for different types of data transfer.
Learn how you can use AWS to adapt to a changing interconnected market, and take advantage of global responsiveness and minimal barriers to innovation. AWS can help you create value for the business in addition to saving costs on infrastructure. Gain insights from lessons learned and recommendations on how to accelerate the path to business value.
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 summarizes an AWS user group event held in Reykjavík, Iceland. It included keynotes on AWS services and computing history. There were technical and business tracks on topics like AWS foundations, security, databases, and going serverless. The event aimed to support Nordic customers and provide training and professional services in the region. Slides and surveys were available after the event.
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.
Training Overview:
This free, online training will provide an introduction to the core AWS services for compute, storage, database, and networking. Our AWS technical expert will provide an overview of AWS, sharing key features, use cases, best practices, and walk through technical demos. There will be AWS experts available to answer your questions one-on-one.
Who should attend:
Virtual AWSome Day is ideal for IT managers, system engineers, system administrators, and architects who are eager to learn more about AWS cloud computing.
In this session, we cover the most common cloud security questions that we hear from customers. We provide detailed answers for each question, distilled from our practical experience working with organizations around the world. This session is for everyone who is curious about the cloud, cautious about the cloud, or excited about the cloud.
The document discusses various AWS services for migrating data to the cloud, including AWS Direct Connect, AWS DataSync, the AWS Snowball family, AWS Transfer for SFTP, and AWS Storage Gateway. It provides overviews and examples of how each service can be used to efficiently transfer data online or offline through the network or physical devices. The document also addresses common questions around data migration and highlights use cases for different types of data transfer.
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.
Which Internet of Things (IoT) network or platform will make the most of your data - now and in the long run? How do you keep your data secure in this connected world? Find out in our webinar, which tackles the infrastructure decisions that come with creating a smart place.
Transforming Enterprise IT - Virtual Transformation Day Feb 2019Amazon Web Services
Speaker: Wesley Wilks, Dan Gallivan
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting-edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
This document summarizes a seminar for AWS partners about the UK government's G-Cloud procurement framework. It includes presentations on an overview of G-Cloud, tips for successful submissions, how AWS partners can leverage G-Cloud, and common myths about the framework. AWS representatives discuss the resources and support they can provide partners for the upcoming G-Cloud 12 application process, including a partner pack to aid submissions. The seminar aims to help partners understand G-Cloud and maximize their chances of winning business through the framework.
The document provides best practices for migrating enterprise workloads to AWS. It discusses common business drivers for cloud migration like agility, cost reduction, and digital transformation. Case studies are presented showing organizations achieving benefits like cost savings, improved productivity, and reduced risk by migrating applications and infrastructure to AWS. The migration process involves assessment, planning, and executing the migration. Various migration strategies and tools are outlined to help simplify and accelerate migrating workloads to AWS.
Compute at the Edge with AWS Greengrass - IOT309 - re:Invent 2017Amazon Web Services
AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate while still taking advantage of the cloud. In this session, we discuss the features and development languages of AWS Greengrass that let you build powerful edge compute applications. You’ll also hear directly from Greengrass customers in multiple industries.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. This session covers the benefits of cloud computing; our shared responsibility model; and AWS services and infrastructure. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
The document discusses Impact Computing at Amazon Web Services (AWS) and how it supports customers in solving complex global challenges at scale using AWS. It provides examples of AWS public sector events and initiatives in 2018 that engaged with over 20,000 customers. It also outlines AWS services, capabilities, and benefits for customers in areas such as security, compliance, cost optimization, and innovation. Real customer stories demonstrate how organizations are leveraging AWS to drive digital transformation, research, fundraising, skills development, and more.
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.
Module 1: Introduction to the AWS Cloud - AWSome Day Online Conference 2019Amazon Web Services
This document outlines an AWS cloud computing course. The course goals are to explain AWS's value proposition, global infrastructure, key services, security and compliance, architecture, pricing, and support. The intended audience includes sales, legal, marketing, and other IT professionals. The course contains 5 modules that cover an introduction to AWS, getting started, building applications, security, and pricing/support/architecture. It also provides an overview of what the AWS cloud is, its benefits, global infrastructure, management interfaces, and services.
Here are the key steps to build an effective business case:
1. Understand your current environment - inventory applications, infrastructure, costs including facilities, hardware, software licenses, support contracts, staffing.
2. Define business drivers and objectives - increased agility, innovation, cost reduction. Quantify benefits like productivity gains, faster time to market.
3. Estimate migration costs - use tools to assess applications, estimate effort to migrate/modernize using lift and shift, refactoring. Factor professional services.
4. Calculate cost savings and returns - use TCO calculators to forecast ongoing cloud costs vs current. Analyze payback periods and returns using migration costs and ongoing savings.
5. Address risks
Migrare applicazioni e dati, estendere la capacità del data center, utilizzare nuove funzionalità native del cloud, creare soluzioni di backup e disaster recovery.
Cloud migration is more than simply a business efficiency or a cost-saving measure. It’s a critical step towards digital transformation, innovation and operational resilience that has opened up opportunities for those who’ve embraced cloud adoption. Whether you are looking to embark on your cloud migration or scaling the number of applications you’re moving to the cloud, it does not need to be a daunting task or one that you go at alone. AWS offers 10 years of experience helping businesses to efficiently move their legacy on-premises systems to the cloud. We work closely alongside numerous local delivery partners to help you meet your business needs. Our Cloud Migration insights forum helps you to learn how to simplify your cloud journey with AWS. This desk was presented to a New Zealand audience and has NZ specific examples.
The document discusses open data on AWS. It provides an overview of how shared data on the cloud can accelerate research. AWS cares about open data because its customers supply and use data shared on AWS. Sharing data in the cloud allows data users to spend more time analyzing data rather than acquiring it. The AWS Public Datasets registry allows finding satellite imagery, elevation data, transportation data and more that are shared publicly. Examples show environmental monitoring, flood forecasting, and optimizing ship navigation using open data on AWS.
In this session we will cover the most common cloud security questions that we hear from customers. We provide detailed answers for each question distilled from our practical experience working with organisations around the world. This session is for everyone curious about the cloud, cautious about the cloud, or excited about the cloud.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
AWS Initiate Day Dublin 2019 – Security and Compliance in your VPCAmazon Web Services
This document discusses security and compliance when using Amazon Web Services (AWS). It notes that AWS has a global network of data centers and availability zones built from the ground up to satisfy security requirements. It also discusses key AWS security services like identity and access management, encryption, security groups, and monitoring tools. The document outlines how security is shared between AWS and customers, with AWS being responsible for security of the cloud and customers being responsible for security in the cloud.
Security is top priority at AWS. All Amazon Web Services (AWS) customers benefit from a data center and network architecture built to satisfy the requirements of the most security-sensitive organizations. In this session, Ryan Jaeger, senior solutions architect and security specialist, AWS, will discuss the four common challenges that CISOs and their security teams struggle with and why cybersecurity is becoming a driving force behind commercial cloud adoption. We will also share best practices and learnings from our customers on additional security measures organizations should explore to meet regulatory and compliance requirements and safeguard their environment.
Moving Forward with AI - as presented at the Prosessipäivät 2018Adrian Hornsby
https://www.oppia.fi/prosessipaivat/
-
Self-Driving cars. Commercial drones. Smart cameras. Movie and music creation. Powerful & intelligent robots. Over the past few years, a new revolution has brought AI almost to the level of science-fiction. However, most companies are not worried about far-off futuristic applications of AI, they want to know what AI can do - today - for their organisations. 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.
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.
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.
Which Internet of Things (IoT) network or platform will make the most of your data - now and in the long run? How do you keep your data secure in this connected world? Find out in our webinar, which tackles the infrastructure decisions that come with creating a smart place.
Transforming Enterprise IT - Virtual Transformation Day Feb 2019Amazon Web Services
Speaker: Wesley Wilks, Dan Gallivan
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting-edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
This document summarizes a seminar for AWS partners about the UK government's G-Cloud procurement framework. It includes presentations on an overview of G-Cloud, tips for successful submissions, how AWS partners can leverage G-Cloud, and common myths about the framework. AWS representatives discuss the resources and support they can provide partners for the upcoming G-Cloud 12 application process, including a partner pack to aid submissions. The seminar aims to help partners understand G-Cloud and maximize their chances of winning business through the framework.
The document provides best practices for migrating enterprise workloads to AWS. It discusses common business drivers for cloud migration like agility, cost reduction, and digital transformation. Case studies are presented showing organizations achieving benefits like cost savings, improved productivity, and reduced risk by migrating applications and infrastructure to AWS. The migration process involves assessment, planning, and executing the migration. Various migration strategies and tools are outlined to help simplify and accelerate migrating workloads to AWS.
Compute at the Edge with AWS Greengrass - IOT309 - re:Invent 2017Amazon Web Services
AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate while still taking advantage of the cloud. In this session, we discuss the features and development languages of AWS Greengrass that let you build powerful edge compute applications. You’ll also hear directly from Greengrass customers in multiple industries.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. This session covers the benefits of cloud computing; our shared responsibility model; and AWS services and infrastructure. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
The document discusses Impact Computing at Amazon Web Services (AWS) and how it supports customers in solving complex global challenges at scale using AWS. It provides examples of AWS public sector events and initiatives in 2018 that engaged with over 20,000 customers. It also outlines AWS services, capabilities, and benefits for customers in areas such as security, compliance, cost optimization, and innovation. Real customer stories demonstrate how organizations are leveraging AWS to drive digital transformation, research, fundraising, skills development, and more.
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.
Module 1: Introduction to the AWS Cloud - AWSome Day Online Conference 2019Amazon Web Services
This document outlines an AWS cloud computing course. The course goals are to explain AWS's value proposition, global infrastructure, key services, security and compliance, architecture, pricing, and support. The intended audience includes sales, legal, marketing, and other IT professionals. The course contains 5 modules that cover an introduction to AWS, getting started, building applications, security, and pricing/support/architecture. It also provides an overview of what the AWS cloud is, its benefits, global infrastructure, management interfaces, and services.
Here are the key steps to build an effective business case:
1. Understand your current environment - inventory applications, infrastructure, costs including facilities, hardware, software licenses, support contracts, staffing.
2. Define business drivers and objectives - increased agility, innovation, cost reduction. Quantify benefits like productivity gains, faster time to market.
3. Estimate migration costs - use tools to assess applications, estimate effort to migrate/modernize using lift and shift, refactoring. Factor professional services.
4. Calculate cost savings and returns - use TCO calculators to forecast ongoing cloud costs vs current. Analyze payback periods and returns using migration costs and ongoing savings.
5. Address risks
Migrare applicazioni e dati, estendere la capacità del data center, utilizzare nuove funzionalità native del cloud, creare soluzioni di backup e disaster recovery.
Cloud migration is more than simply a business efficiency or a cost-saving measure. It’s a critical step towards digital transformation, innovation and operational resilience that has opened up opportunities for those who’ve embraced cloud adoption. Whether you are looking to embark on your cloud migration or scaling the number of applications you’re moving to the cloud, it does not need to be a daunting task or one that you go at alone. AWS offers 10 years of experience helping businesses to efficiently move their legacy on-premises systems to the cloud. We work closely alongside numerous local delivery partners to help you meet your business needs. Our Cloud Migration insights forum helps you to learn how to simplify your cloud journey with AWS. This desk was presented to a New Zealand audience and has NZ specific examples.
The document discusses open data on AWS. It provides an overview of how shared data on the cloud can accelerate research. AWS cares about open data because its customers supply and use data shared on AWS. Sharing data in the cloud allows data users to spend more time analyzing data rather than acquiring it. The AWS Public Datasets registry allows finding satellite imagery, elevation data, transportation data and more that are shared publicly. Examples show environmental monitoring, flood forecasting, and optimizing ship navigation using open data on AWS.
In this session we will cover the most common cloud security questions that we hear from customers. We provide detailed answers for each question distilled from our practical experience working with organisations around the world. This session is for everyone curious about the cloud, cautious about the cloud, or excited about the cloud.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
AWS Initiate Day Dublin 2019 – Security and Compliance in your VPCAmazon Web Services
This document discusses security and compliance when using Amazon Web Services (AWS). It notes that AWS has a global network of data centers and availability zones built from the ground up to satisfy security requirements. It also discusses key AWS security services like identity and access management, encryption, security groups, and monitoring tools. The document outlines how security is shared between AWS and customers, with AWS being responsible for security of the cloud and customers being responsible for security in the cloud.
Security is top priority at AWS. All Amazon Web Services (AWS) customers benefit from a data center and network architecture built to satisfy the requirements of the most security-sensitive organizations. In this session, Ryan Jaeger, senior solutions architect and security specialist, AWS, will discuss the four common challenges that CISOs and their security teams struggle with and why cybersecurity is becoming a driving force behind commercial cloud adoption. We will also share best practices and learnings from our customers on additional security measures organizations should explore to meet regulatory and compliance requirements and safeguard their environment.
Moving Forward with AI - as presented at the Prosessipäivät 2018Adrian Hornsby
https://www.oppia.fi/prosessipaivat/
-
Self-Driving cars. Commercial drones. Smart cameras. Movie and music creation. Powerful & intelligent robots. Over the past few years, a new revolution has brought AI almost to the level of science-fiction. However, most companies are not worried about far-off futuristic applications of AI, they want to know what AI can do - today - for their organisations. 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.
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.
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.
The document discusses innovations in artificial intelligence and cloud computing. It describes how AI has advanced from early neural networks in the 1950s to today's deep learning algorithms powered by large datasets, GPUs, cloud computing, and AWS services. The document outlines several AWS AI services including Amazon Rekognition for image analysis, Amazon Polly for text-to-speech, and Amazon Lex for conversational interfaces. It emphasizes that AWS aims to put AI in the hands of every developer.
"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."
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
Slides from my talk at the Data Innovations Summit on MXNet Model Server.
https://www.datainnovationsummit.com/
Apache MXNet Model Server (MMS) is a flexible and easy to use tool for serving deep learning models exported from MXNet or the Open Neural Network Exchange (ONNX).
https://github.com/awslabs/mxnet-model-server
What is deep learning (and why you should care) - Talk at SJSU Oct 2018Hagay Lupesko
The document discusses deep learning and provides an overview of key concepts such as how deep learning differs from and improves upon traditional machine learning methods. It also provides examples of deep learning applications in areas like self-driving cars and sentiment analysis. Additionally, it introduces the Apache MXNet deep learning framework and Amazon SageMaker for building and deploying deep learning models.
1) The document discusses Amazon Web Services (AWS) machine learning and artificial intelligence services.
2) It introduces Amazon SageMaker as a fully managed service that makes it easier for developers and data scientists to build, train and deploy machine learning models.
3) AWS provides a broad set of machine learning services including Amazon Rekognition (image and video analysis), Amazon Transcribe (speech recognition), Amazon Translate (language translation), Amazon Comprehend (natural language processing) and Amazon SageMaker (machine learning training and deployment).
How to Confidently Unleash Data to Meet the Needs of Your Entire Organization...Amazon Web Services
Where are you on the spectrum of IT leaders? Are you confident that you’re providing the technology and solutions that consistently meet or exceed the needs of your internal customers? Do your peers at the executive table see you as an innovative technology leader? Innovative IT leaders understand the value of getting data and analytics directly into the hands of decision makers, and into their own. In this session, Daren Thayne, Domo’s Chief Technology Officer, shares how innovative IT leaders are helping drive a culture change at their organizations. See how transformative it can be to have real-time access to all of the data that' is relevant to YOUR job (including a complete view of your entire AWS environment), as well as understand how it can help you lead the way in applying that same pattern throughout your entire company.
This document contains an agenda for an AWS event titled "AWSome Day" being held in Stockholm, Sweden. The agenda includes a keynote, sessions on AWS foundations, infrastructure, databases, security best practices, and tools. There will also be technical and business tracks running in parallel sessions. The document provides contact information and notes that slides from the event will be available after it concludes. It encourages attendees to complete a post-event survey and mentions an additional security and compliance session for the public sector.
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.
Devoxx: Building AI-powered applications on AWSAdrian Hornsby
Slides from my talk at devoxx2018
The video: https://www.youtube.com/watch?v=-izfBVlHkSc
https://cfp.devoxx.be/2017/talk/XEO-9942/Building_Serverless_AI-powered_Applications_on_AWS
Build, train, and deploy machine learning models at scale - AWS Summit Cape T...Amazon Web Services
Speaker: Adrian Hornsby, AWS
Level: 300
Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. In this session, I will make a quick introduction to machine learning and walk through leveraging Sagemaker for your machine learning projects.
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.
The document discusses Amazon's AI services for building machine learning models including application services, platform services, and frameworks/infrastructure. It describes several Amazon AI services such as Amazon Rekognition for computer vision, Amazon Polly for text-to-speech, Amazon Lex for conversational interfaces, and Amazon SageMaker for training and deploying models. The services provide APIs, tools, and capabilities to developers and data scientists to incorporate AI into their applications and analyze large datasets.
Generative Adversarial Networks (GANs) using Apache MXNetApache MXNet
The document provides an overview of generative adversarial networks (GANs) using Apache MXNet. It introduces GANs and deep learning concepts. It then demonstrates how to implement GANs using MXNet with examples like DCGAN. Finally, it discusses other GAN models and provides resources for using MXNet on AWS.
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.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
Workshop Build an Image-Based Automatic Alert System with Amazon Rekognition:...Amazon Web Services
This document discusses building an image-based automatic alert system using Amazon Rekognition. It provides an overview of Amazon Rekognition and other relevant AWS services. It then outlines the workshop scenario and previews the lab instructions. The document describes the various capabilities of Amazon Rekognition for image and video analysis and shows example requests and responses. It also lists other AWS services that will be used in the workshop like EC2, Lambda, DynamoDB, S3, and Kinesis. Finally, it provides a high-level overview of the workshop architecture and extensions that could be explored.
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.
60. https://www.youtube.com/watch?v=TeLvFqLW_0A
Speech Recognition and Natural Language
Understanding
« Amazon Lex integrates easily into our existing
applications, as well as our new cloud-native
serverless architectures, enabling us to rapidly
take advantage of these powerful technologies
to improve and extend the capabilities we can
offer our employees and customers.»
Gillian Armstrong, Technologist, Liberty Mutual
64. ringDNA
• RingDNA is an end-to-end
communications platformfor sales
teams.
• Hundreds of enterprise organizations
use RingDNA to dramatically increase
productivity, engage in smarter sales
conversations, gain predictive sales
insights and improve their win rate.
Speech to Text
"A critical component of RingDNA’s Conversation AI
requires best of breed speech-to-text to deliver
transcriptions of every phone call. RingDNA is excited
about Amazon Transcribe since it provides high-quality
speech recognition at scale, helping us to better
transcribe every call to text "
Howard Brown, CEO & Founder, RingDNA
https://www.youtube.com/watch?v=1ZJ_f1bDdog
66. Hotels.com
Natural Language Processing
« Amazon Comprehend helps us
analyze the key sentiments, objects, and
geos in our 30 million plus reviews &
testimonies. Now we are able to discover
new insights into the unique experiences
available at each property, so our
customers can make the best
decision possible for their travel.”
Machine Translation
« We operate 90 localized websites in 41
languages. (…)
Having evaluated Amazon Translate
and several other solutions, we believe
that Amazon Translate presents a quick,
efficient and most importantly, accurate
solution.»
Matt Fryer, VP and Chief Data Science Officer, Hotels.com