The document discusses Amazon's artificial intelligence services for machine learning including computer vision, natural language processing, speech recognition, and text-to-speech. It provides examples of Amazon Rekognition for image and video analysis, Amazon Polly for text-to-speech, Amazon Transcribe for speech recognition, Amazon Translate for language translation, Amazon Lex for conversational interfaces, and Amazon Comprehend for natural language processing. The services are designed to be high quality, easy to use, integrated, and low cost for production machine learning applications.
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Getting Started with AWS AI Managed Services and SagemakerAmazon Web Services
Chan Sze-Lok, Startup Business Development Manager, AWS
Amazon.com uses Artificial Intelligence to improve customer experience, grow its business and optimize its operations. AWS AI managed services make this powerful AI technology available to every business in the form of simple-to-use services. Attendees will learn how their business can start using powerful AI such as facial recognition, chatbots and sentiment analysis. AWS AI managed services allow customers to get started without any data science expertise, benefiting from technology first tested in the scale and mission critical environment of Amazon.com.
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Introduction to AWS ML Application Services - BDA202 - Toronto AWS SummitAmazon Web Services
Amazon brings computer vision, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built AI functionality into their applications and automate manual workflows. Join us to learn more about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Introduction to AWS Machine Learning Application Services - BDA202 - Atlanta ...Amazon Web Services
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we learn about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Artificial Intelligence for Developers - OOP MunichBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services, provide a number of examples and use cases to help you get started.
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Getting Started with AWS AI Managed Services and SagemakerAmazon Web Services
Chan Sze-Lok, Startup Business Development Manager, AWS
Amazon.com uses Artificial Intelligence to improve customer experience, grow its business and optimize its operations. AWS AI managed services make this powerful AI technology available to every business in the form of simple-to-use services. Attendees will learn how their business can start using powerful AI such as facial recognition, chatbots and sentiment analysis. AWS AI managed services allow customers to get started without any data science expertise, benefiting from technology first tested in the scale and mission critical environment of Amazon.com.
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Introduction to AWS ML Application Services - BDA202 - Toronto AWS SummitAmazon Web Services
Amazon brings computer vision, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built AI functionality into their applications and automate manual workflows. Join us to learn more about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Introduction to AWS Machine Learning Application Services - BDA202 - Atlanta ...Amazon Web Services
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we learn about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Artificial Intelligence for Developers - OOP MunichBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services, provide a number of examples and use cases to help you get started.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon Web Services
AWS STARTUP DAY 2018 I Enhancing Your Startup With Amazon Machine LearningAWS Germany
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Using AI for real-life data enrichment - Tel Aviv Summit 2018Amazon Web Services
In this session, we will learn how we used Amazon Machine Learning services to enrich our datasets, we will use Amazon rekognition to extract data from pictures and Amazon comprehend to get sentiments and areas of interests from posts. We'll use Amazon SageMaker built-in algorithms to easily build and train a machine learning model and deploy it into a production-ready hosted environment.
Unique engine recommendations give customers a shopping experience in which the most relevant products are displayed real time. By enhancing your online store's user experience with personalised recommendations, you’ll need to select an algorithm that will help you with product discovery and to enable larger order sizes that can lead to increased sales.
Engaging Customers with Virtual Hosts Using Amazon SumerianAmazon Web Services
A great customer experience implies that your brand provides an engaging and personalized experience throughout the customer journey. Are you considering a virtual host to greet customers, answer common questions and introduce your company's services and offerings? In this session, we’ll show you how Amazon Sumerian can create immersive and interactive 3D experiences by allowing you to build a scene with a Host that acts as a concierge for your customers.
How do I grow with my organization and meet my organization's needs? How do I rise to the new challenges before me? In this session we discuss the differences in preparing to operate in the cloud, what your operational priorities need to be, how to start designing for operations, and building your operational readiness. We will walk you through the process of how to launch your new life in the cloud. You will learn to make the early choices that lay the foundations for a successful adoption of cloud services. At the end of this session you will understand the key considerations when planning your personal journey to the cloud. This session is for leaders, operations, service owners and anyone interested in how to get started in the cloud to ensure successful business outcomes
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Top 10 Start-Up Mistakes & How to Avoid Them: AWS Startup Day - New York 2018Amazon Web Services
Top 10 Start-up Mistakes & How to Avoid Them
Justin Smithline, Entrepreneurs Roundtable Accelerator
Most startups fail. Justin shares observations and lessons from the front lines as an entrepreneur and investor to help founders avoid this fate. He will also discuss accelerators.
AI & Deep Learning At Amazon - April 2017 AWS 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
Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments.
Amazon Rekognition: Deep Learning-Based Image and Video Analysis - BDA303 - C...Amazon Web Services
Learn how Amazon Rekognition is using deep learning-based image and video analysis to power data-driven decision making for creative asset production, more targeted influencer marketing and advertising, and visual authentication for a variety of use cases. Learn about Amazon Rekognition image and video features. Hear customer stories from specific vertical use cases, such as media and advertising, and walk through some demonstrations and architectures for common use cases.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon Web Services
AWS STARTUP DAY 2018 I Enhancing Your Startup With Amazon Machine LearningAWS Germany
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Using AI for real-life data enrichment - Tel Aviv Summit 2018Amazon Web Services
In this session, we will learn how we used Amazon Machine Learning services to enrich our datasets, we will use Amazon rekognition to extract data from pictures and Amazon comprehend to get sentiments and areas of interests from posts. We'll use Amazon SageMaker built-in algorithms to easily build and train a machine learning model and deploy it into a production-ready hosted environment.
Unique engine recommendations give customers a shopping experience in which the most relevant products are displayed real time. By enhancing your online store's user experience with personalised recommendations, you’ll need to select an algorithm that will help you with product discovery and to enable larger order sizes that can lead to increased sales.
Engaging Customers with Virtual Hosts Using Amazon SumerianAmazon Web Services
A great customer experience implies that your brand provides an engaging and personalized experience throughout the customer journey. Are you considering a virtual host to greet customers, answer common questions and introduce your company's services and offerings? In this session, we’ll show you how Amazon Sumerian can create immersive and interactive 3D experiences by allowing you to build a scene with a Host that acts as a concierge for your customers.
How do I grow with my organization and meet my organization's needs? How do I rise to the new challenges before me? In this session we discuss the differences in preparing to operate in the cloud, what your operational priorities need to be, how to start designing for operations, and building your operational readiness. We will walk you through the process of how to launch your new life in the cloud. You will learn to make the early choices that lay the foundations for a successful adoption of cloud services. At the end of this session you will understand the key considerations when planning your personal journey to the cloud. This session is for leaders, operations, service owners and anyone interested in how to get started in the cloud to ensure successful business outcomes
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Top 10 Start-Up Mistakes & How to Avoid Them: AWS Startup Day - New York 2018Amazon Web Services
Top 10 Start-up Mistakes & How to Avoid Them
Justin Smithline, Entrepreneurs Roundtable Accelerator
Most startups fail. Justin shares observations and lessons from the front lines as an entrepreneur and investor to help founders avoid this fate. He will also discuss accelerators.
AI & Deep Learning At Amazon - April 2017 AWS 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
Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments.
Amazon Rekognition: Deep Learning-Based Image and Video Analysis - BDA303 - C...Amazon Web Services
Learn how Amazon Rekognition is using deep learning-based image and video analysis to power data-driven decision making for creative asset production, more targeted influencer marketing and advertising, and visual authentication for a variety of use cases. Learn about Amazon Rekognition image and video features. Hear customer stories from specific vertical use cases, such as media and advertising, and walk through some demonstrations and architectures for common use cases.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Machine learning state of the union - Tel Aviv Summit 2018Amazon 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. We 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.
Leadership Session: Digital Advertising - Customer Learning & the Road Ahead ...Amazon Web Services
In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.
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
Breaking Language Barriers with AI - Web Summit 2018Boaz Ziniman
AI and machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We'll build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Breaking Language Barriers with AI: AWS Developer Workshop - Web Summit 2018Amazon Web Services
Breaking Language Barriers with AI: AWS Developer Workshop - Web Summit 2018
AI and Machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Speaker: Boaz Ziniman - Technical Evangelist, AWS
Introduction to AWS ML Application Services - BDA202 - Anaheim AWS SummitAmazon Web Services
Amazon brings computer vision, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built AI functionality into their applications and automate manual workflows. Join us to learn more about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Transform the Modern Contact Center Using Machine Learning and Analytics (AIM...Amazon Web Services
Analyzing customer service interactions across channels provides a complete 360-degree view of customers. By capturing all interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect and AWS machine learning services, such Amazon Lex, Amazon Transcribe, and Amazon Comprehend, to quickly process and analyze thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception.
About the event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
Building Online Communities Without Language Barriers (AIM339) - AWS re:Inven...Amazon Web Services
Most communities are currently language specific. To engage in a community the user must speak the language native language. In this chalk talk, we will discuss how you can integrate state of the art machine translation to enable users to effectively share and consume content in their language of choice and create truly global communities. Broadening the user base through seamless language translation helps developers increase participation and contribution, ultimately improving the economics of their applications.
AWS Machine Learning Week SF: Build Intelligent Applications with AWS ML Serv...Amazon Web Services
AWS Machine Learning Week at the San Francisco Loft
Add Intelligence to Applications with AWS ML Services: Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, you’ll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. We’ll also show how these services connect to AWS’s comprehensive data platform and services to drive the success of your machine learning projects.
Speaker: Randall Hunt - Technical Evangelist, AWS
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
For the Enterprise, Artificial Intelligence (AI) materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. Augmented Reality (AR) and Virtual Reality (VR) based solutions offer a promising future in the enterprise allowing engagement with data in innovative ways. In this session, we take a look at how AWS is democratizing AI, AR and VR to enable innovation in the enterprise by building applications quickly and easily without requiring specialized programming.
What IT Transformation Really Means for the EnterpriseTom Laszewski
Digital transformation means something new every decade. This sort of constant change is stressful for any organization, but especially for the large enterprise. Because while nearly every enterprise began as a small, scrappy team, success means growth, and growth means accumulation—more technology, more processes, more people, and more red tape. In this session, we’ll give an executive-level view of how the cloud removes the stressful burden of on-premise applications, legacy technology, and outdated processes from the enterprise. We’ll examine what digital transformation really means, and offer prescriptive guidance around decluttering the enterprise, security, culture, and more. AWS enables every enterprise to invest in strategic innovation and modernization. With the AWS cloud, enterprises become more agile, more efficient, and are better equipped to keep pace with constant change. As a partner, AWS enables every enterprise to live its own version of the Amazon Story—one of growth without burdensome accumulation, success without slowness, and constant innovation.
Your spend on AWS should always be optimized. Whether you are seeing usage increase because your customers are relying more on your services, or you just want to dial-in your spending for the road ahead, there are things you can and should do to optimize your cloud costs. In this session we will highlight six quick cost optimizations every startup should consider depending on workloads and the patterns you are seeing. We will give you the tools and approaches that can have a significant impact on your startup right now and moving forward. Some of which you can implement right after this session.
What can you do with Serverless in 2020Boaz Ziniman
Serverless is always evolving (faster than any definition) and each year new capabilities simplify existing workloads and enable new applications to be implemented in an easier, more efficient way. At AWS, we have focused on improving observability, configuration management, functions invocations, service integrations, and execution environments. Looking at some of the more recent updates, this session is introducing the reasoning behind the new features, and how to use them to reduce your architecture complexity, including real world examples of what AWS customers are doing, so that you can focus on creating value for YOUR customers.
Your spend on AWS should always be optimized. Whether you are seeing usage increase because your customers are relying more on your services, or you just want to dial-in your spending for the road ahead, there are things you can and should do to optimize your cloud costs. In this session we will highlight six quick cost optimizations every startup should consider depending on workloads and the patterns you are seeing. We will give you the tools and approaches that can have a significant impact on your startup right now and moving forward. Some of which you can implement right after this session.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. With AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices (such as ESP8266/ESP32) can leverage AWS IoT.
Modern Applications Development on AWSBoaz Ziniman
Modern Application Development, using Microservices and Serverless, allow you to build and run simpler and more efficient applications, while improving your agility and saving a lot of money.
The ability to deploy your applications without the need for provisioning or managing servers opens new opportunities to build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more, without the investment in hardware or professional manpower to run this hardware.
In this session, we will learn how to get started with Microservices and Serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
Enriching your app with Image recognition and AWS AI services Hebrew WebinarBoaz Ziniman
Artificial Intelligence services on the AWS cloud bring machine learning technologies such as image recognition and computer vision within reach of every developer.In this session, you will be introduced to AWS AI services for developers and learn how to use one of them, Amazon Rekognition, to add new capabilities to your applications.
This workshop will walk you trough building a serverless website, powered by AWS AI services, as part of the website backend.We will deploy a website on S3, use API Gateway and Lambda as our backend and integrate Amazon Rekognition to enrich user generated content.
Drive Down the Cost of your Data Lake by Using the Right Data TieringBoaz Ziniman
Amazon S3 supports a wide range of storage classes to help you cost-effectively store your data. Each of the S3 Storage Classes is designed to support different use cases while reliably protecting your data. In this session, we will look into the different S3 Storage Classes, their respective key features, and the use cases they support, while focusing on the newest storage class S3 Intelligent-Tiering-the first cloud storage class that automatically optimizes storage costs for data with changing access patterns.
Breaking Voice and Language Barriers with AI - Chatbot Summit Tel AvivBoaz Ziniman
AI and Machine learning allow developers to introduce new voice and language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience.
This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and connect to a multilingual call center that can be expended to new languages in minutes.
Serverless Beyond Functions - CTO Club Made in JLMBoaz Ziniman
Serverless is changing the way businesses think about speed and cost of innovation but today, Serverless is not limited to the code running as a Lambda function.
In this session we will look into what it takes to run a full serverless application in production. We will cover additional services such as Serverless application management, storage solution for Serverless Apps, Step Functions for App orchestration and CI/CD and Monitoring for your full application lifecycle.
Websites Go Serverless - ServerlessDays TLV 2019Boaz Ziniman
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product. In this session, we will take a common website architecture and show how can we use AWS Lambda, Amazon S3 and other Services to build smarter and better systems.
SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
AIM301 - Breaking Language Barriers With AI - Tel Aviv Summit 2019Boaz Ziniman
AI and Machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Breaking Language Barriers with AI - AWS SummitBoaz Ziniman
AI and Machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Websites go Serverless - AWS Summit BerlinBoaz Ziniman
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product. In this session, we will take a common website architecture and show how can we use AWS Lambda, Amazon S3 and other Services to build smarter and better systems.
During the last re:Invent, AWS announced many new features for Lambda and Serverless in general. In this session, we will cover the new features in Lambda and Serverless such as Lambda as a Target for ELB, Layers, Custom Runtimes, changes to AWS Step Functions and more.
Introduction to Serverless Computing - OOP MunichBoaz Ziniman
erverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
IoT from Cloud to Edge & Back Again - WebSummit 2018Boaz Ziniman
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
How Websites go Serverless - WebSummit Lisbon 2018Boaz Ziniman
If you're still running servers for website backends, come and see how you can remove server operations from your tasks list and focus on developing the best code and product. In this session, we'll take a common website architecture and show how can we use Amazon S3, AWS Lambda and other services to build smarter, better and cost effective systems.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
אני חושב שהאתגר הכי גדול שלנו בעידן ה – Big Data הוא להבין איך אנחנו כותבים תוכנה שתוציא תובנות מאותו Data.
ופה AI בא לעזרתנו....
ההגדרה הבסיסית של AI היא מערכת או שרות שמאפשרים לי לבצע משימות שעד אז דרשו התערבות אנושית, רצוי אינטליגנטית.
And for us, AI is a system or service which can perform tasks that usually require human intelligence, such as visual perception, speech recognition, decision-making or translation
1994
Today Ai is everywhere is Amazon
From recommendation pages, to fulfillment centers, Prime Air Drones
***CLICK***
Amazon Go
There are lots of other examples. Machine learning is being used to filter spam emails, flag inappropriate content, personalize user experience, targeted marketing campaigns, call routing in support centers, social network monitoring, and many more.
And the result of this is that we see a ton of machine learning up on AWS today, literally from A through to Z. So everything from Ancestry, who are using machine learning and deep learning to be able to process genomic information and build out family trees, all the way through to Zillow, who use machine learning to do house-price estimation up on the website.
מצד אחד שליטה מצד שני פשטות
כל Framework פופולרי בתחום ה - AI
Amazon Rekognition currently supports the JPEG and PNG image formats. You can submit images either as an S3 object or as a byte array.Amazon Rekognition supports image file sizes up to 15MB when passed as an S3 object, and up to 5MB when submitted as an image byte array.Amazon Rekognition is currently available in US East (Northern Virginia), US West (Oregon) and EU (Ireland) regions.
Mxnet convolutional deep neural networks (CNNs),
Using AWS, C-SPAN can sample a frame every six seconds for recognition against indexed faces in a database of 97,000 people.
Previously, this was done manually: Indexers scrolled through screen captures to identify who was speaking at any given point and select an image to represent each individual in each video.
C-SPAN expects to save 8,000 to 9,000 hours a year in labor by automating that process using Rekognition, and will be able to index 100% of its incoming footage and archives.
The basics are pretty simple, but the service has deep functionality.
You can send the service a simple string of text, and it will generate the life like voice in your choice of 47 different voices.
But it’s not naive of the context of the text. For example, the text here - ‘WA’ and ‘degree F’, that would sound strange if it were spoken out loud.
Instead, Polly will automatically expand the text strings ‘WA’ and ‘degree F’, to ‘Washington’ and ‘degrees fahrenheit’, to create more life like speech. The developer doesn’t have to do anything - just send the text, and get life like voice back.
Speech Synthesis Markup Language (SSML) Version 1.0
The Voice Browser Working Group has sought to develop standards to enable access to the Web using spoken interaction.
שינוי של הקולות הקיימים למקרה ומספר הקולות שיש היום לא מספיק לכם
With Lex, any application running on the web, a mobile app, or a device, can send natural language - as both text or speech - to Lex using an API or SDK. Lex will apply ASR and NLU to the incoming message to understand the intent of the user, so to understand what the question is, and map that to a Lambda function which will process the information, and…
Then form a response, which will be passed back to the user as either text, or will use Polly automatically to generate a voice response.
I wont deep dive on Lex now since we have a full session dedicated to building Bots using Lex later during the day so I encourage you to go and check it out!
$0.004 per voice request, and $.00075 per text request.
1,000 speech requests would be $4.00
1,000 text requests would cost $0.75.
10,000 text requests and 5,000 speech requests – Free tier