This document discusses artificial intelligence and Amazon AI services. It provides an overview of Amazon's AI capabilities including Amazon Rekognition for image and video analysis, Amazon Polly for text-to-speech, and Amazon Lex for conversational interfaces. It outlines how Amazon's AI services help address challenges of scale for training models using large datasets and computing resources. The document also discusses how customers can get started with Amazon's AI services and platforms either using pre-built models or developing custom models on AWS infrastructure.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and ML technologies within the reach of every developer. In this session, we will dive deep into 2 specific AWS services: Amazon Lex and Amazon Polly. Amazon Lex uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots. Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and ML technologies within the reach of every developer. In this session, we will dive deep into 2 specific AWS services: Amazon Lex and Amazon Polly. Amazon Lex uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots. Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products.
Andy Jassy Illuminates Amazon Web ServicesMichael Skok
Andy Jassy, senior vice president of Amazon Web Services, provides an overview of AWS at the May 8, 2013 Startup Secrets session at Harvard innovation lab.
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Based on the same proven, highly scalable products and services built by the thousands of deep learning and machine learning experts across Amazon, Amazon AI services provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Speaker: Ian Massingham, AWS Evangelist
Tools of Research: Machine Learning | AWS Public Sector Summit 2017Amazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address a wide range of research needs. For domain specialists looking to add managed Artificial Intelligence (AI) services to their research, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and supervised machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. 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 improve scale and efficiency with the AWS Cloud. Learn More: https://aws.amazon.com/government-education/
Building Smart Applications with Amazon Machine Learning.pdfAmazon Web Services
Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
AWS FSI Symposium 2017 NYC - Moving at the Speed of Serverless ft BroadridgeAmazon Web Services
AWS’ suite of serverless technology has enabled enterprises in Financial Services to move quickly from conception to reality. By leveraging AWS, you can run code without provisioning or managing servers—and you only pay for what you use. In this session, we will walk through how we worked with Broadridge to take their Experience Manager application from design to deployment and provide details around how numerous AWS services were leveraged, including Cognito, Lambda, S3, DynamoDB, and SES. We will also dive into how the use of serverless technology can enable developers to move quickly, while improving security postures, minimizing management, and simplifying operations.
AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
Deep Dive on AWS Mobile Hub for Enterprise Mobile Applications Amazon Web Services
Mobile app development is complex and time-consuming. AWS Mobile Hub simplifies the process of building, testing, and monitoring mobile applications that make use of a range of AWS services. In this webinar, we will show step-by-step how to build apps with AWS Mobile Hub. We will also discuss the recent enhancement since our launch last year.
Learning Objectives:
• Learn how to build mobile apps faster with AWS Mobile Hub
• Learn about the recent enhancement of AWS Mobile Hub
Better Accessibility with Lex, Polly, and Alexa | AWS Public Sector Summit 2017Amazon Web Services
Most AWS services can be applied at scale. We'll provide a demo of what and how these services help modernize interactions with IT systems even those with government regulations and requirements. We will also demonstrate ways the overall solution helps meet those requirements. GeorgiaGov Interactive will share their story on how they are using Alexa to reach more disabled residents, extending its informational and transactional services onto Amazon's voice-driven platform. Learn More: https://aws.amazon.com/government-education/
What is Cloud Computing with AWS at Websummit DublinIan Massingham
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham introduces the benefits of cloud computing with AWS, discusses examples of some of the organisations that are using AWS today and talks through the range of AWS services that you can use to run your applications, workloads and services in the AWS cloud.
Media and Entertainment Industry Day Keynote - Bhavik VyasAmazon Web Services
Bhavik Vyas is AWS Worldwide Business Development leader for the Media and Entertainment Industry.
He presents a State of Media and Entertainment update, bringing in typical scenarios in Media, Broadcast, and video productions, and demonstrating how they are addressed using the AWS Cloud. Customer references are presented, alongside a quick overview of solutions.
Opening keynote at the AWS Media and Entertainment industry day, in Toronto, 2017.
An Overview of AI at AWS: Amazon Lex, Amazon Polly, Amazon Rekognition, Apach...Amazon Web Services
by Keith Steward, Solutions Architect, AWS
AI services on the AWS cloud bring deep learning technologies like natural language understanding, automatic speech recognition, computer vision, text-to-speech, and machine learning within reach of every developer. For more in-depth deep learning applications, the Deep Learning AMIs let you create managed, auto-scaling clusters of GPUs for large scale training, or run inference on trained models with compute-optimized or general-purpose CPU instances. 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 improve scale and efficiency with the AWS Cloud. Level 200
Andy Jassy Illuminates Amazon Web ServicesMichael Skok
Andy Jassy, senior vice president of Amazon Web Services, provides an overview of AWS at the May 8, 2013 Startup Secrets session at Harvard innovation lab.
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Based on the same proven, highly scalable products and services built by the thousands of deep learning and machine learning experts across Amazon, Amazon AI services provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Speaker: Ian Massingham, AWS Evangelist
Tools of Research: Machine Learning | AWS Public Sector Summit 2017Amazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address a wide range of research needs. For domain specialists looking to add managed Artificial Intelligence (AI) services to their research, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and supervised machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. 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 improve scale and efficiency with the AWS Cloud. Learn More: https://aws.amazon.com/government-education/
Building Smart Applications with Amazon Machine Learning.pdfAmazon Web Services
Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
AWS FSI Symposium 2017 NYC - Moving at the Speed of Serverless ft BroadridgeAmazon Web Services
AWS’ suite of serverless technology has enabled enterprises in Financial Services to move quickly from conception to reality. By leveraging AWS, you can run code without provisioning or managing servers—and you only pay for what you use. In this session, we will walk through how we worked with Broadridge to take their Experience Manager application from design to deployment and provide details around how numerous AWS services were leveraged, including Cognito, Lambda, S3, DynamoDB, and SES. We will also dive into how the use of serverless technology can enable developers to move quickly, while improving security postures, minimizing management, and simplifying operations.
AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
Deep Dive on AWS Mobile Hub for Enterprise Mobile Applications Amazon Web Services
Mobile app development is complex and time-consuming. AWS Mobile Hub simplifies the process of building, testing, and monitoring mobile applications that make use of a range of AWS services. In this webinar, we will show step-by-step how to build apps with AWS Mobile Hub. We will also discuss the recent enhancement since our launch last year.
Learning Objectives:
• Learn how to build mobile apps faster with AWS Mobile Hub
• Learn about the recent enhancement of AWS Mobile Hub
Better Accessibility with Lex, Polly, and Alexa | AWS Public Sector Summit 2017Amazon Web Services
Most AWS services can be applied at scale. We'll provide a demo of what and how these services help modernize interactions with IT systems even those with government regulations and requirements. We will also demonstrate ways the overall solution helps meet those requirements. GeorgiaGov Interactive will share their story on how they are using Alexa to reach more disabled residents, extending its informational and transactional services onto Amazon's voice-driven platform. Learn More: https://aws.amazon.com/government-education/
What is Cloud Computing with AWS at Websummit DublinIan Massingham
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham introduces the benefits of cloud computing with AWS, discusses examples of some of the organisations that are using AWS today and talks through the range of AWS services that you can use to run your applications, workloads and services in the AWS cloud.
Media and Entertainment Industry Day Keynote - Bhavik VyasAmazon Web Services
Bhavik Vyas is AWS Worldwide Business Development leader for the Media and Entertainment Industry.
He presents a State of Media and Entertainment update, bringing in typical scenarios in Media, Broadcast, and video productions, and demonstrating how they are addressed using the AWS Cloud. Customer references are presented, alongside a quick overview of solutions.
Opening keynote at the AWS Media and Entertainment industry day, in Toronto, 2017.
An Overview of AI at AWS: Amazon Lex, Amazon Polly, Amazon Rekognition, Apach...Amazon Web Services
by Keith Steward, Solutions Architect, AWS
AI services on the AWS cloud bring deep learning technologies like natural language understanding, automatic speech recognition, computer vision, text-to-speech, and machine learning within reach of every developer. For more in-depth deep learning applications, the Deep Learning AMIs let you create managed, auto-scaling clusters of GPUs for large scale training, or run inference on trained models with compute-optimized or general-purpose CPU instances. 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 improve scale and efficiency with the AWS Cloud. Level 200
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
An Introduction to the AI services at AWS - AWS Summit Tel Aviv 2017Amazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
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 ChatBots with Amazon Lex - AWS Summit Tel Aviv 2017Amazon Web Services
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. Join this session and learn how get started with Amazon Lex, add conversational interface features to your applications and integrate with text-chat and voice based interfaces.
by Dan Romuald Mbanga, Business Development Manager, AWS
Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding and recommendation engines. One of the key reasons for this progress is the availability of highly flexible and developer friendly deep learning frameworks. In this workshop, we will provide an overview of deep learning focusing on getting started with the TensorFlow and Keras frameworks on AWS. Level 100
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
7. New data created on AWS
Data
Training Prediction
PBs of existing data
The Challenge For Artificial Intelligence: SCALE
Low cost
8. Tons of GPUs
Elastic capacity
Training
Prediction
Pre-built images
The Challenge For Artificial Intelligence: SCALE
New data created on AWS
Data
PBs of existing data
Low cost
9. Tons of GPUs and CPUs
Serverless
At the Edge, On IoT Devices
Prediction
The Challenge For Artificial Intelligence: SCALE
Tons of GPUs
Elastic capacity
Training
Pre-built images
Low cost
New data created on AWS
Data
PBs of existing data
10. AWS is the Center of Gravity for
Artificial Intelligence
11. The Promise Of Artificial Intelligence: INNOVATION
New Features
for Existing Products
12. New Experiences
and Product Categories
The Promise Of Artificial Intelligence: INNOVATION
New Features
for Existing Products
27. Amazon AI
“Inside AWS, we’re excited to lower the costs and barriers to
machine learning and AI so organizations of all sizes can
take advantage of these advanced techniques”
34. 2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
4. Customized Pronunciation
Articles and Blogs
Training Material
Chatbots (Lex)
Public Announcements
36. Amazon Lex: Conversational Chatbots
I’d like to book a hotel.
Sure! What city would you like to book it in?
37. Amazon Lex: Conversational Chatbots
I’d like to book a hotel.
Sure! What city would you like to book it in?
Sydney
Destination:
Sydney
38. Amazon Lex: Conversational Chatbots
I’d like to book a hotel.
Sure! What city would you like to book it in?
Sydney
When would you like to check in?
Next Friday
Destination:
Sydney
Check In:
30/6/2017
39. Amazon Lex: Conversational Chatbots
Lex Bots
Web
Devices
Apps
Facebook Messenger,
Slack, Twilio
Amazon
Connect
Mobile
Mobile Hub
integration
40. Amazon Lex: Conversational Chatbots
Lex Bots
Salesforce
Microsoft Dynamics
Marketo
Zendesk
Web
Devices
Apps
Facebook Messenger,
Slack, Twilio
Amazon
Connect
Mobile
Mobile Hub
integration
Quickbooks
43. AI Services
AI Platform
AI Engines
Amazon
Rekognition
Amazon
Polly
Amazon
Lex
More to come
in 2017
More to come
in 2017
Apache
MXNet
TensorFlow Caffe Theano KerasTorch CNTK
Amazon AI: Democratized Artificial Intelligence
Amazon
Machine Learning
EMR & Spark AWS Batch
