The document discusses mobile app monetization and trends. It covers topics like Adways' mobile advertising platform, trends in app downloads and revenues, and strategies for optimizing cost per install. Key metrics like click-through rates and conversion rates for different app categories and countries are analyzed. Hybrid monetization approaches combining pay-per-click advertising and in-app purchases are also discussed.
The document discusses mobile advertising and app monetization. It covers Adways, an advertising platform, and AppDriver, an app discovery and monetization platform. Some key points include:
- Adways discusses cost per install advertising and partnerships with other mobile companies.
- AppDriver's services include app promotion, analytics and monetization through advertising.
- Data on app store rankings and downloads for both free and paid apps is presented.
The document contains information about social media marketing and engagement strategies for various brands. It provides statistics on social media engagement for top consumer brands in categories like food, beverages, fashion, electronics and media. It also compares the marketing approaches of Coca-Cola and Pepsi. Specific engagement tactics for different platforms are discussed, with an emphasis on focusing efforts on platforms where target audiences spend most of their time rather than spreading efforts too thinly across many networks.
The document discusses mobile advertising and app monetization. It covers Adways, an advertising platform, and AppDriver, an app discovery and monetization platform. Some key points include:
- Adways discusses cost per install advertising and partnerships with other mobile companies.
- AppDriver's services include app promotion, analytics and monetization through advertising.
- Data on app store rankings and downloads for both free and paid apps is presented.
The document contains information about social media marketing and engagement strategies for various brands. It provides statistics on social media engagement for top consumer brands in categories like food, beverages, fashion, electronics and media. It also compares the marketing approaches of Coca-Cola and Pepsi. Specific engagement tactics for different platforms are discussed, with an emphasis on focusing efforts on platforms where target audiences spend most of their time rather than spreading efforts too thinly across many networks.
The document is comprised entirely of copyright notices from Amazon Web Services and does not contain any other substantive information. It references Amazon Web Services, Elastic Beanstalk, CloudWatch Synthetics, and the migration of an application to EC2 instances powered by AWS Graviton2 processors. However, no details are provided about these topics within the document.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
How AI is Reimagining Software, Environments, Apps, & Programmatic Interfaces...Amazon Web Services
AI is at the center of a shift in how applications are developed and how users interact with data. Code that writes itself, voice enablement, computer vision, and activation by presence are some of the ways the human-to-computer interfaces are evolving. This chalk talk, we explore this evolution and show you how AWS AI services have impacted specific industries, such as manufacturing and development. Additionally, participants have an opportunity to get hands-on with an interactive art display powered by AWS AI services. Our goal is to show you how AI can help you reimagine your applications, services, interfaces, and business.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
The digital transformation evolution will rely on the benefits of computer vision and natural language processing to enable new business models to align the physical and digital world for citizens. In this session, learn how to deploy machine learning models to leverage the power of smart devices using Alexa, as well as process data quickly at the edge – even without connectivity – using smart cameras and autonomous agents.
The document discusses Apache Camel, an open source integration framework. It provides an overview of Camel, including that it was created to implement enterprise integration patterns and allows systems built on different technologies to integrate. The document covers Camel's history and architecture, describes how it supports integration patterns like filtering messages, and presents a sample Camel route configuration.
Getting Your Piece of the Mobile Pi 2017Doug Sillars
This document discusses how mobile application performance is important for user experience and business success. It recommends testing application performance using AT&T's Video Optimizer tool, which analyzes network traces and grades apps on best practices. Specific best practices covered include compressing files and images, minimizing connections, and following security guidelines. The document stresses that mobile delays negatively impact users and can cause loss of revenue, so developers should optimize for performance.
Different strategies for startups and companies ,universities to identify the IP components at early stage of Innovation.
Part I - IP Components,Part II - How to Identify IP components
Part III - How to $ from IP (Off-Road)
신입 개발자가 스타트업에서 AWS로 살아남는 이야기
조용진, 모두의 캠퍼스
취준생이었다가 스타트업 신입 개발자가 된 후 겪은 다양한 문제를 어떻게 AWS로 해결해 나갔는지 개인 경험담을 공유합니다. AWS의 기본적인 서비스인 S3, EC2, RDS로 부터 시작해서 오토스케일링, Route 53 그리고 트래픽 이슈를 해결하기 위해 서버 기반 렌더링을 AWS Lambda를 통한 서버리스 솔루션으로 해결한 모두의 캠퍼스 아키텍처 진화 과정을 자세히 소개합니다. AWS를 처음 사용하거나 쓰긴 하지만 아직 기본적인 사용에 벗어나지 못하는 분들을 위한 세션입니다.
How Access Breeds Creativity - @ronjdub at Digital Dumbo #20Ron J Williams
The document discusses the concept of an "access economy" where people can make money from underutilized possessions by sharing them with others through a company called SnapGoods. It describes how the system allows people to both earn and save money by accessing items they need temporarily from others rather than having to purchase them. The CEO of SnapGoods promotes the idea that experiences and relationships, rather than accumulation of physical possessions, are what really make people rich.
AWS Direct Connect 를 통한 하이브리드 클라우드 아키텍쳐 설계 - 김용우 솔루션즈 아키텍트, AWS :: AWS Summit...Amazon Web Services Korea
AWS Direct Connect 를 통한 하이브리드 클라우드 아키텍쳐 설계
김용우 솔루션즈 아키텍트, AWS
기업 고객들이 클라우드를 도입할 때 자사의 데이터 센터와 클라우드상의 자원들과의 안전한 연동은 매우 중요합니다. AWS Direct Connect는 일관된 네트워크 성능을 기반으로 AWS자원을 보다 빠르고 안전하게 사용하실수 있는 방법을 제공합니다. 본 세션에서는 AWS Direct Connect(DX)와 VPN의 특징 및 구성 방법을 다루고, 하이브리드 환경의 아키텍쳐를 위한 DX 서비스 신청부터 구성까지의 모든 단계를 살펴봅니다. 특히 가용성을 높이기 위한 DX 회선 이중화 디자인 및 VPN을 이용한 DX 회선 Backup 방법 그리고 Direct Connect gateway 를 통한 글로벌 서비스 네트워크 구성 방법 까지 다양하게 살펴보도록 하겠습니다.
The document discusses using artificial intelligence and machine learning for autonomous racing. It describes using reinforcement learning to train models to control a miniature race car called AWS DeepRacer. The models are trained in a 3D racing simulator and learn to navigate a track by receiving rewards or penalties. Researchers are exploring using techniques like behavioral cloning and object detection for autonomous driving applications.
This document contains multiple sections and diagrams related to Amazon Web Services (AWS) including:
- Diagrams showing synchronous and asynchronous workflows between AWS services like API Gateway, Lambda, DynamoDB, and S3.
- A template in AWS Serverless Application Model (SAM) format defining an AWS Lambda function and API Gateway endpoint.
- Images related to continuous integration/continuous delivery (CI/CD) pipelines in AWS.
Implementing Micro Frontends Using React as we are doing in Logo Maker from Fiverr. In this talk, I will briefly describe how Logo Maker works and how it utilizes microservice architecture.
AT&T saw significant growth in its business messaging portfolio in 2011, with over 750 billion peer-to-peer messages and 45 billion application-to-person/person-to-application messages. The document discusses several challenges faced by AT&T customers and how messaging solutions can help, such as using text messages to ensure employee safety during disasters and using two-factor authentication via text for secure access to systems. It also notes that over 3,000 developers and content providers use AT&T's messaging APIs.
An updated summary of the growth champions research including analysis of financial performance of the companies identified by the underlying innovation leaders programme - showing a portfolio annual return of 14.8% per annum over the past decade
The document discusses using Go and the go-swagger library to build RESTful APIs from Swagger specifications. It provides an overview of Swagger and go-swagger, demonstrates generating Go server code from a Swagger spec, and examples of using curl to test the generated API.
[REPEAT] Get hands on with AWS DeepRacer & compete in the AWS DeepRacer Leagu...Amazon Web Services
Get behind the keyboard for an immersive experience with AWS DeepRacer. In this workshop, you get hands-on-experience with reinforcement learning. Developers with no prior machine learning (ML) experience learn new skills and apply their knowledge in a fun and exciting way. You join a pit crew where you build and train ML models that you can then take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines. The race is on.
This document discusses DevOps tools and strategies used by Viva Republica including DC/OS for container orchestration, Marathon for container management, Git for version control, and CI/CD tools like GoCD. It covers how they implement zero downtime deployments using techniques like canary releases and blue-green deployments. It also lists some of the monitoring services used on their platform like Telegraf, Kafka, Elasticsearch, and Influxdb. The document emphasizes the importance of monitoring for anomalies in areas like JVM, APIs, networks, and handling connection resets to ensure smooth operations and resolve issues quickly.
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The document is comprised entirely of copyright notices from Amazon Web Services and does not contain any other substantive information. It references Amazon Web Services, Elastic Beanstalk, CloudWatch Synthetics, and the migration of an application to EC2 instances powered by AWS Graviton2 processors. However, no details are provided about these topics within the document.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
How AI is Reimagining Software, Environments, Apps, & Programmatic Interfaces...Amazon Web Services
AI is at the center of a shift in how applications are developed and how users interact with data. Code that writes itself, voice enablement, computer vision, and activation by presence are some of the ways the human-to-computer interfaces are evolving. This chalk talk, we explore this evolution and show you how AWS AI services have impacted specific industries, such as manufacturing and development. Additionally, participants have an opportunity to get hands-on with an interactive art display powered by AWS AI services. Our goal is to show you how AI can help you reimagine your applications, services, interfaces, and business.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
The digital transformation evolution will rely on the benefits of computer vision and natural language processing to enable new business models to align the physical and digital world for citizens. In this session, learn how to deploy machine learning models to leverage the power of smart devices using Alexa, as well as process data quickly at the edge – even without connectivity – using smart cameras and autonomous agents.
The document discusses Apache Camel, an open source integration framework. It provides an overview of Camel, including that it was created to implement enterprise integration patterns and allows systems built on different technologies to integrate. The document covers Camel's history and architecture, describes how it supports integration patterns like filtering messages, and presents a sample Camel route configuration.
Getting Your Piece of the Mobile Pi 2017Doug Sillars
This document discusses how mobile application performance is important for user experience and business success. It recommends testing application performance using AT&T's Video Optimizer tool, which analyzes network traces and grades apps on best practices. Specific best practices covered include compressing files and images, minimizing connections, and following security guidelines. The document stresses that mobile delays negatively impact users and can cause loss of revenue, so developers should optimize for performance.
Different strategies for startups and companies ,universities to identify the IP components at early stage of Innovation.
Part I - IP Components,Part II - How to Identify IP components
Part III - How to $ from IP (Off-Road)
신입 개발자가 스타트업에서 AWS로 살아남는 이야기
조용진, 모두의 캠퍼스
취준생이었다가 스타트업 신입 개발자가 된 후 겪은 다양한 문제를 어떻게 AWS로 해결해 나갔는지 개인 경험담을 공유합니다. AWS의 기본적인 서비스인 S3, EC2, RDS로 부터 시작해서 오토스케일링, Route 53 그리고 트래픽 이슈를 해결하기 위해 서버 기반 렌더링을 AWS Lambda를 통한 서버리스 솔루션으로 해결한 모두의 캠퍼스 아키텍처 진화 과정을 자세히 소개합니다. AWS를 처음 사용하거나 쓰긴 하지만 아직 기본적인 사용에 벗어나지 못하는 분들을 위한 세션입니다.
How Access Breeds Creativity - @ronjdub at Digital Dumbo #20Ron J Williams
The document discusses the concept of an "access economy" where people can make money from underutilized possessions by sharing them with others through a company called SnapGoods. It describes how the system allows people to both earn and save money by accessing items they need temporarily from others rather than having to purchase them. The CEO of SnapGoods promotes the idea that experiences and relationships, rather than accumulation of physical possessions, are what really make people rich.
AWS Direct Connect 를 통한 하이브리드 클라우드 아키텍쳐 설계 - 김용우 솔루션즈 아키텍트, AWS :: AWS Summit...Amazon Web Services Korea
AWS Direct Connect 를 통한 하이브리드 클라우드 아키텍쳐 설계
김용우 솔루션즈 아키텍트, AWS
기업 고객들이 클라우드를 도입할 때 자사의 데이터 센터와 클라우드상의 자원들과의 안전한 연동은 매우 중요합니다. AWS Direct Connect는 일관된 네트워크 성능을 기반으로 AWS자원을 보다 빠르고 안전하게 사용하실수 있는 방법을 제공합니다. 본 세션에서는 AWS Direct Connect(DX)와 VPN의 특징 및 구성 방법을 다루고, 하이브리드 환경의 아키텍쳐를 위한 DX 서비스 신청부터 구성까지의 모든 단계를 살펴봅니다. 특히 가용성을 높이기 위한 DX 회선 이중화 디자인 및 VPN을 이용한 DX 회선 Backup 방법 그리고 Direct Connect gateway 를 통한 글로벌 서비스 네트워크 구성 방법 까지 다양하게 살펴보도록 하겠습니다.
The document discusses using artificial intelligence and machine learning for autonomous racing. It describes using reinforcement learning to train models to control a miniature race car called AWS DeepRacer. The models are trained in a 3D racing simulator and learn to navigate a track by receiving rewards or penalties. Researchers are exploring using techniques like behavioral cloning and object detection for autonomous driving applications.
This document contains multiple sections and diagrams related to Amazon Web Services (AWS) including:
- Diagrams showing synchronous and asynchronous workflows between AWS services like API Gateway, Lambda, DynamoDB, and S3.
- A template in AWS Serverless Application Model (SAM) format defining an AWS Lambda function and API Gateway endpoint.
- Images related to continuous integration/continuous delivery (CI/CD) pipelines in AWS.
Implementing Micro Frontends Using React as we are doing in Logo Maker from Fiverr. In this talk, I will briefly describe how Logo Maker works and how it utilizes microservice architecture.
AT&T saw significant growth in its business messaging portfolio in 2011, with over 750 billion peer-to-peer messages and 45 billion application-to-person/person-to-application messages. The document discusses several challenges faced by AT&T customers and how messaging solutions can help, such as using text messages to ensure employee safety during disasters and using two-factor authentication via text for secure access to systems. It also notes that over 3,000 developers and content providers use AT&T's messaging APIs.
An updated summary of the growth champions research including analysis of financial performance of the companies identified by the underlying innovation leaders programme - showing a portfolio annual return of 14.8% per annum over the past decade
The document discusses using Go and the go-swagger library to build RESTful APIs from Swagger specifications. It provides an overview of Swagger and go-swagger, demonstrates generating Go server code from a Swagger spec, and examples of using curl to test the generated API.
[REPEAT] Get hands on with AWS DeepRacer & compete in the AWS DeepRacer Leagu...Amazon Web Services
Get behind the keyboard for an immersive experience with AWS DeepRacer. In this workshop, you get hands-on-experience with reinforcement learning. Developers with no prior machine learning (ML) experience learn new skills and apply their knowledge in a fun and exciting way. You join a pit crew where you build and train ML models that you can then take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines. The race is on.
This document discusses DevOps tools and strategies used by Viva Republica including DC/OS for container orchestration, Marathon for container management, Git for version control, and CI/CD tools like GoCD. It covers how they implement zero downtime deployments using techniques like canary releases and blue-green deployments. It also lists some of the monitoring services used on their platform like Telegraf, Kafka, Elasticsearch, and Influxdb. The document emphasizes the importance of monitoring for anomalies in areas like JVM, APIs, networks, and handling connection resets to ensure smooth operations and resolve issues quickly.
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