The document discusses Amazon's artificial intelligence capabilities and services. It describes how Amazon uses artificial intelligence and deep learning across its business from fulfillment to new product development. It also introduces three new AI services from Amazon: Polly for text-to-speech, Rekognition for computer vision and image analysis, and Lex for building conversational interfaces. Each service is described as using deep learning techniques to provide high quality, easy to use and low cost functionality for applications.
Technology Vision 2022: Communications Industry | Accentureaccenture
Accenture's Technology Vision 2022 for the Communications industry details the key building blocks of the Metaverse Continuum that every CSP needs to know. accntu.re/3l8fmT8
The only certainty is change, so Vodafone has published these Global Trends to help its enterprise customers understand and respond to the issues that will impact their business over the next 2-3 years, wherever they are in the world, and whichever sector or segment they are doing business in.
The Global Trends are:
* Empowering the Workforce
* Smarter Business
* Digitalisation and Disruption
For further information, visit vodafone.com/business or ask your account manager.
Font Performance - NYC WebPerf Meetup April '24Paul Calvano
Only 10 years ago, custom web fonts were a niche feature, but today they are used by 83% of websites. While it’s easy to add and use web fonts, there are many ways that they can negatively impact web performance and user experience.
During this talk Paul will provide an overview of custom web fonts and some web performance techniques you can use to optimize them. We’ll look at examples from the HTTP Archive and explore some free tools that can be used to analyze and optimize fonts on your site.
Presented April 18, 2024 at NYC WebPerf Meetup
https://www.meetup.com/web-performance-ny/events/299395150/
Big Data and advanced analytics are critical topics for executives today. But many still aren't sure how to turn that promise into value. This presentation provides an overview of 16 examples and use cases that lay out the different ways companies have approached the issue and found value: everything from pricing flexibility to customer preference management to credit risk analysis to fraud protection and discount targeting. For the latest on Big Data & Advanced Analytics: http://mckinseyonmarketingandsales.com/topics/big-data
Technology Vision 2022: Communications Industry | Accentureaccenture
Accenture's Technology Vision 2022 for the Communications industry details the key building blocks of the Metaverse Continuum that every CSP needs to know. accntu.re/3l8fmT8
The only certainty is change, so Vodafone has published these Global Trends to help its enterprise customers understand and respond to the issues that will impact their business over the next 2-3 years, wherever they are in the world, and whichever sector or segment they are doing business in.
The Global Trends are:
* Empowering the Workforce
* Smarter Business
* Digitalisation and Disruption
For further information, visit vodafone.com/business or ask your account manager.
Font Performance - NYC WebPerf Meetup April '24Paul Calvano
Only 10 years ago, custom web fonts were a niche feature, but today they are used by 83% of websites. While it’s easy to add and use web fonts, there are many ways that they can negatively impact web performance and user experience.
During this talk Paul will provide an overview of custom web fonts and some web performance techniques you can use to optimize them. We’ll look at examples from the HTTP Archive and explore some free tools that can be used to analyze and optimize fonts on your site.
Presented April 18, 2024 at NYC WebPerf Meetup
https://www.meetup.com/web-performance-ny/events/299395150/
Big Data and advanced analytics are critical topics for executives today. But many still aren't sure how to turn that promise into value. This presentation provides an overview of 16 examples and use cases that lay out the different ways companies have approached the issue and found value: everything from pricing flexibility to customer preference management to credit risk analysis to fraud protection and discount targeting. For the latest on Big Data & Advanced Analytics: http://mckinseyonmarketingandsales.com/topics/big-data
The Five Biggest Tech Trends Transforming Government In 2022Bernard Marr
The digital transformation of governments and public authorities has been accelerated during the global pandemic. Here we look at the key technology trends, including digital identity management, automation of public services using artificial intelligence, the increasing importance of cyber security as well as the role of national cryptocurrencies.
Cracking the Code on Consumer Fraud | Accentureaccenture
"Accenture research highlights how public safety agencies need a new approach to tackle consumer fraud – more intelligence-led,
proactive and collaborative."
Evolution of cyber threats and the development of new security architectureEY
EY presented at the 22 World Petroleum Congress, focusing on the current cyber threats for oil and gas companies, the impact of new security architecture and the rise of IIOT.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
2018 Deloitte Case Competition Powerpoint PresentationJoshua Kim
My team won first place in the 2018 Deloitte Consulting Federal Technology Case Competition. This was the presentation that we submitted and presented.
Ling Shou Tong: Alibaba’s Next Innovative Disruptor?accenture
This piece examines Ling Shou Tong (Alibaba’s new retail inventory management platform)and looks at how it’s disrupting convenience stores and post and parcel delivery in China.
We present an economic framework to understand and manage platform growth. This builds from a model of network complements and two sided markets. The intuitions help set prices, openness, and features to absorb into the platform. The intuitions also help shape the transition from a traditional business model to a platform strategy.
Presented at the IBM executive education summit July 27, 2011.
The fifth annual MIT Sloan and Deloitte study of digital business reveals digitally mature organizations don't just innovate more, they innovate differently—leveraging ecosystems and cross-functional teams that play critical roles.
Retailers who are proactive with their approach to consumer privacy and retail cyber security will create more meaningful data and consumer engagement.
TMT Outlook 2017: A new wave of advances offer opportunities and challengesDeloitte United States
Important trends continue to shape the technology, media, and telecommunications (TMT) industry. What developments should you anticipate in 2017? https://subscriptions.deloitte.com/default.aspx?eventid=1323075
Determining your data center strategy is critical in this expanding world of big data, cloud and mobility. Should you build your own data center, consider a wholesale arrangement, colocate with another carrier or transfer your critical information to the cloud? Or, does some combination of these options best suit your needs? Where do you even begin when planning these large enterprise decisions?
Join Randy Ortiz, VP of Data Center Design and Engineering, from Internap as he breaks down the steps you need to take to achieve a successful outcome for your data center initiatives.
Key topics include:
*Important decision-making considerations
*Why flexibility matters
*Top trends to watch today
An Overview of AI on the AWS Platform - February 2017 Online Tech TalksAmazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused 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.
Learning Objectives
• Learn about the breadth of AI services available on the AWS Cloud
• Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition
• Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance
The Five Biggest Tech Trends Transforming Government In 2022Bernard Marr
The digital transformation of governments and public authorities has been accelerated during the global pandemic. Here we look at the key technology trends, including digital identity management, automation of public services using artificial intelligence, the increasing importance of cyber security as well as the role of national cryptocurrencies.
Cracking the Code on Consumer Fraud | Accentureaccenture
"Accenture research highlights how public safety agencies need a new approach to tackle consumer fraud – more intelligence-led,
proactive and collaborative."
Evolution of cyber threats and the development of new security architectureEY
EY presented at the 22 World Petroleum Congress, focusing on the current cyber threats for oil and gas companies, the impact of new security architecture and the rise of IIOT.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
2018 Deloitte Case Competition Powerpoint PresentationJoshua Kim
My team won first place in the 2018 Deloitte Consulting Federal Technology Case Competition. This was the presentation that we submitted and presented.
Ling Shou Tong: Alibaba’s Next Innovative Disruptor?accenture
This piece examines Ling Shou Tong (Alibaba’s new retail inventory management platform)and looks at how it’s disrupting convenience stores and post and parcel delivery in China.
We present an economic framework to understand and manage platform growth. This builds from a model of network complements and two sided markets. The intuitions help set prices, openness, and features to absorb into the platform. The intuitions also help shape the transition from a traditional business model to a platform strategy.
Presented at the IBM executive education summit July 27, 2011.
The fifth annual MIT Sloan and Deloitte study of digital business reveals digitally mature organizations don't just innovate more, they innovate differently—leveraging ecosystems and cross-functional teams that play critical roles.
Retailers who are proactive with their approach to consumer privacy and retail cyber security will create more meaningful data and consumer engagement.
TMT Outlook 2017: A new wave of advances offer opportunities and challengesDeloitte United States
Important trends continue to shape the technology, media, and telecommunications (TMT) industry. What developments should you anticipate in 2017? https://subscriptions.deloitte.com/default.aspx?eventid=1323075
Determining your data center strategy is critical in this expanding world of big data, cloud and mobility. Should you build your own data center, consider a wholesale arrangement, colocate with another carrier or transfer your critical information to the cloud? Or, does some combination of these options best suit your needs? Where do you even begin when planning these large enterprise decisions?
Join Randy Ortiz, VP of Data Center Design and Engineering, from Internap as he breaks down the steps you need to take to achieve a successful outcome for your data center initiatives.
Key topics include:
*Important decision-making considerations
*Why flexibility matters
*Top trends to watch today
An Overview of AI on the AWS Platform - February 2017 Online Tech TalksAmazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused 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.
Learning Objectives
• Learn about the breadth of AI services available on the AWS Cloud
• Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition
• Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance
AWS re:Invent 2016: Machine Learning State of the Union Mini Con (MAC206)Amazon Web Services
With the growing number of business cases for artificial intelligence (AI), machine learning (ML) and deep learning (DL) continue to drive the development of cutting edge technology solutions. We see this manifested in computer vision, predictive modeling, natural language understanding, and recommendation engines. During this full afternoon of sessions and workshops, learn how you can develop your own applications to leverage the benefits of these services. Join this State of the Union presentation to hear more about ML and DL at AWS and see how Motorola Solutions is leveraging these state-of-the-art technologies to solve public safety challenges, and how Ohio Health intends to inject AI into the medical system.
New Artificial Intelligence and IoT Services (Lex, Polly, Rekognition, Greeng...Amazon Web Services
This talk will recap new AI and IoT services announced or released at re:Invent. In the AI space, Gavin will cover Lex, the same deep learning engine that power Alexa; Polly, a service that turns text into lifelike speech; and Rekognition, a service that makes it easy to add image analysis to your applications. For IoT, he will cover Greengrass, which is software that lets you run local compute, messaging and data caching for connected devices. Also covered will be the 2nd generation AWS IoT Button, and Enterprise Program.
Amazon.com: the Hidden Empire - Update 2013Fabernovel
Our "most favorited" 2011 study revealing Amazon.com's strategies for dominating online retail has been updated to include analyses on all of the company's latest moves, and insights into where they may be going next.
Follow us on Twitter: @faberNovel
This slides was presented in a workshop at Iran Game Development Institute. It is only an introduction and starts from academic view and continues with techniques that are using in game industry. In the workshop I also shared some of our experiences in developing AI and its tools, some screenshots also included.
Artificial Artificial Intelligence: Using Amazon Mechanical Turk and .NET to ...goodfriday
Amazon Mechanical Turk is a new Web service that allows .NET software developers to incorporate the power of human decision-making into their automated software systems
An introduction to AI (artificial intelligence)Bellaj Badr
An introduction to AI (artificial intelligence)
The ppt link is available bellow https://docs.google.com/presentation/d/1-oaO75DEdP259HNrrvh5fbZVOtaiiiffi3luyv0tShw/edit?usp=sharing
you could leave your comments on google slides
AWS re:Invent 2016: Transforming Industrial Processes with Deep Learning (MAC...Amazon Web Services
Deep learning has revolutionized computer vision by significantly increasing the accuracy of recognition systems. This session will discuss how the Amazon Fulfillment Technologies Computer Vision Research team has harnessed deep learning to identify inventory defects in Amazon’s warehouses. Beginning with a brief overview of how orders on Amazon.com are fulfilled, the talk will describe a combination of hardware and software that uses computer vision and deep learning that visually examine bins of Amazon inventory to locate possible mismatches between the physical inventory and inventory records. With the growth of deep learning, the emphasis of new system design shifts from clever algorithms to innovative ways to harness available data.
Describe what is Artificial Intelligence. What are its goals and Approaches. Different Types of Artificial Intelligence
Explain Machine learning and took one Algorithm "K-means Algorithm" and explained
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
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
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.
Make your solution see, hear and talk, leveraging artificial intelligence services based on deep learning and neural networks. We will discover three new AI tools from AWS - Lex, Polly and Rekognition; integrated with a physical world device for human interaction and environmental awareness
Speaker: Sunil Mallya, Solutions Architect, AWS Deep Learning
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.
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.
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.
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.
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.
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.
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
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.
3. A Flywheel For Data
Better Products
More Data Better Analytics
4. A Flywheel For Data
More Users Better Products
More Data Better Analytics
5. A Flywheel For Data
Click stream
User activity
Generated content
Purchases
Clicks
Likes
Sensor data
More Users Better Products
More Data Better Analytics
6. A Flywheel For Data
Click stream
User activity
Generated content
Purchases
Clicks
Likes
Sensor data
Object Storage
Databases
Data warehouse
Streaming analytics
BI
Hadoop
Spark/Presto
Elasticsearch
More Users Better Products
More Data Better Analytics
7. A Flywheel For Data
Click stream
User activity
Generated content
Purchases
Clicks
Likes
Sensor data
Object Storage
Databases
Data warehouse
Streaming analytics
BI
Hadoop
Spark/Presto
Elasticsearch
Artificial
Intelligence
More Users Better Products
More Data Better Analytics
9. Artificial Intelligence At Amazon
Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Enhance
Existing Products
Define New
Categories Of
Products
Bring Machine
Learning To All
16. The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Programming
models
Algorithms
17. A Stack for ML/DL Applications
Managed API Services
ML Platform (Data Science Environment) - Notebooks, Model
Hosting and Retraining
DL Engine – MXNet, NeMo, TesorFlow, Caffe, Torch, Theano
Hardware – Distributed Computing, GPU, FPGA
CONTROL
USABILITY&SIMPLICITY
18. EC2 P2 Instance | Up to 16 GPUs
Up to 8 NVIDIA Tesla K80 Accelerators, each running a pair of
NVIDIA GK210 GPUs
Each GPU provides 12 GiB of memory (accessible via 240 GB/second
of memory bandwidth), and 2,496 parallel processing cores.
Currently available in PDX, IAD, DUB, and GovCloud Regions
Instance
Name
GPU Count vCPU Count Memory
Parallel
Processing
Cores
GPU Memory
Network
Performance
p2.xlarge 1 4 61 GiB 2,496 12 GiB High
p2.8xlarge 8 32 488 GiB 19,968 96 GiB 10 Gigabit
p2.16xlarge 16 64 732 GiB 39,936 192 GiB 20 Gigabit
19. One-Click GPU
Deep Learning
AWS Deep Learning AMI
Up to~40k CUDA cores
MXNet
TensorFlow
Theano
Caffe
Torch
Pre-configured CUDA drivers
Anaconda, Python3
+ CloudFormation template
+ Container Image
21. Deep Learning Applications
“deep learning” trend in the past 10 years
image understanding speech recognition natural language
processing
…
autonomy
22. DL Applications on AWS
Realtime detection and tracking on TX1
~10 frame/sec with 640x480 resolution
BlindTool by Joseph Paul Cohen
demo on Nexus 4
23. Can We Help Customers
Put Intelligence At The Heart Of
Every Application & Business?
25. Amazon AI: Three New Deep Learning Services
Polly
Life-like Speech
26. Amazon AI: Three New Deep Learning Services
Rekognition
Life-like Speech Image Analysis
Polly
27. Amazon AI: Three New Deep Learning Services
Rekognition Lex
Life-like Speech Image Analysis Conversational
Engine
Polly
28. Amazon AI: Three New Deep Learning Services
Polly Rekognition Lex
Life-like Speech Image Analysis Conversational
Engine
29. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
30. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
31. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
3rd Gen:
Intent-oriented
32. Lex: Build Natural, Conversational Interactions In Voice & Text
Voice & Text
“Chatbots”
Powers
Alexa
Voice interactions
on mobile, web
& devices
Text interaction
with Slack & Messenger
Enterprise
Connectors
(with more coming) Salesforce
Microsoft Dynamics
Marketo
Zendesk
Quickbooks
Hubspot
37. Origin
Destination London Heathrow
Departure Date
Flight Booking
“Book a flight to
London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Intent /
Slot model
38. Origin Seattle
Destination London Heathrow
Departure Date
Flight Booking
“Book a flight to
London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
LocationLocation
Intent /
Slot model
39. Origin Seattle
Destination London Heathrow
Departure Date
Flight Booking
“Book a flight to
London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Prompt
LocationLocation
“When would you like to fly?”
Intent /
Slot model
40. Origin Seattle
Destination London Heathrow
Departure Date
Flight Booking
“Book a flight to
London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Prompt
LocationLocation
“When would you like to fly?”
“When would you like to
fly?”
Polly
Intent /
Slot model
43. Origin Seattle
Destination London Heathrow
Departure Date 11/18/2016
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Natural Language
Understanding
Next Friday
Utterances
Flight booking
11/18/2016
Intent /
Slot model
44. Origin Seattle
Destination London Heathrow
Departure Date 11/18/2016
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Natural Language
Understanding
Next Friday
Utterances
Flight booking
11/18/2016
Intent /
Slot model
45. Origin Seattle
Destination London Heathrow
Departure Date 11/18/2016
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Natural Language
Understanding
Next Friday
Utterances
Flight booking
11/18/2016
Confirmation
“Your flight is booked for next Friday”
Intent /
Slot model
46. Origin Seattle
Destination London Heathrow
Departure Date 11/18/2016
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Natural Language
Understanding
Next Friday
Intent /
Slot model
Utterances
Flight booking
11/18/2016
“Your flight is booked for
next Friday”
Confirmation
“Your flight is booked for next Friday”
Polly
47. Origin Seattle
Destination London Heathrow
Departure Date 11/18/2016
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Natural Language
Understanding
Next Friday
Grammar
Graph
Utterances
Flight booking
11/18/2016
Hotel Booking
52. “Today in Seattle, WA, it’s 11°F”
‘"We live for the music" live from the Madison Square Garden.’
1. Automatic, Accurate Text Processing
Polly: A Focus On Voice Quality & Pronunciation
53. Polly: A Focus On Voice Quality & Pronunciation
2. Intelligible and Easy to Understand
1. Automatic, Accurate Text Processing
54. 2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
“Richard’s number is 2122341237“
“Richard’s number is 2122341237“
Telephone Number
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
55. 2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
4. Customized Pronunciation
“My last name is Nguyen.”
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
“My last name is Nguyen.”
56. Polly: Life-like Speech Service
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
57. Amazon AI: Three New Deep Learning Services
Polly Rekognition Lex
Life-like Speech Image Analysis Conversational
Engine
58. Rekognition: Search & Understand Visual Content
Real-time &
batch image
analysis
Object & Scene
Detection
Face Comparison Face SearchFacial Analysis
59. Object and Scene Detection
Search, filter, and
curate image
libraries
Smart searches for
user generated
content
Photo, travel, real
estate, vacation
rental applications
60. Avoid faces when cropping
images and overlaying ads
Capture user demographics
and sentiment
Recommend the best photos
Improve online dating match
recommendations
Dynamic, personalized ads
Facial Analysis
61. Face Comparison
Add face verification to
applications and devices
Extend physical security
controls
Provide guest access to
VIP-only facilities
Verify users for online
exams and polls
62. Facial Recognition
Add friend tagging to social
and messaging apps
Assist public safety officers
find missing persons
Identify employees as they
access sensitive locations
Identify celebrities in
historical image archives
63. Early Feedback
“it is all very exciting and it was
shocking how easy it was to set up”
“Rekognition simplifies the process of tagging
and organizing end users’ photos to help them
quickly find relevant images.” - RealNetworks
