In this session, attain knowledge about how AWS can help create a differentiated customer experience for your end users and employees, at scale and at the speed of innovation to meet your customer’s expectations. Hear from a panel of enterprise IT executives, including Glenn Weinstein, CIO of Appirio, who are innovating and driving real transformations of their business via the AWS Cloud. They are leveraging AWS offerings to build, migrate and run their applications on AWS, including AWS Lex, AWS Lambda, Amazon Kinesis, and Amazon Redshift.
Session sponsored by Wipro
How do you create a frictionless travel experience, where merely by walking into the hotel you’re automatically checked in and hotel associates greet you by name? By combining sophisticated Machine Learning, Location/Motion Tracking, Event Streaming and Serverless architecture with AWS components run on Cloud, we’re able to create the foundation for this experience without significant time and capital investment. Accenture will demonstrate how to determine accurate location and motion by passively scanning Bluetooth signals, establish who and where you are, and deduce your intent by creating a network of information including profile, motion and activity. We are reinventing the hospitality experience, and are beginning to use the technology in industries as diverse as healthcare and mining. Join Accenture for a demo and architecture discussion focused on the power of combining architecture components to optimize the customer experience, speed to market, and operating cost.
Attendees will learn more about the considerations, risks and implications of the company’s cloud transformation program; see examples of reference architectures and implementation guides; and understand what contributed to the success of the program.The patterns presented will be broadly applicable to complex, global organizations with aspirations to make the journey to AWS cloud
Session sponsored by Accenture
Enabling Big Data Computing at Pfizer with AWS Service Catalog and AWS Lambda...Amazon Web Services
In this session, data analysts, big data administrators, system administrators, developers, and IT managers learn how to create a robust computing environment for their own teams. As enterprises move to the cloud—providing secure, governed turnkey solutions at scale to a broad set of users faces its own challenges—organizations need to ensure charge back and tracking mechanisms while also rapidly creating new turnkey solutions that are readily available to a broad set of end users to keep up with innovation. With AWS Service Catalog, AWS Lambda, Amazon CloudWatch Events, Amazon DynamoDB, and AWS CloudFormation, Pfizer’s Big Data team is defining and enabling the next paradigm of computing at Pfizer.
NEW LAUNCH! How to build graph applications with SPARQL and Gremlin using Ama...Amazon Web Services
In this session, we will demonstrate how you can easily start using graph databases to solve your business problems. We will demonstrate setting up a Neptune instance, loading the dataset and using Gremlin and SPARQL via Java to build a application. We will also cover scaling, availability and administrative aspects of the Neptune service.
SRV301-Optimizing Serverless Application Data Tiers with Amazon DynamoDBAmazon Web Services
"As a fully managed database service, Amazon DynamoDB is a natural fit for serverless architectures. In this session, we dive deep into why and how to use DynamoDB in serverless applications, followed by a real-world use case from CapitalOne.
First, we dive into the relevant DynamoDB features, and how you can use it effectively with AWS Lambda in solutions ranging from web applications to real-time data processing. We show how some of the new features in DynamoDB, such as Auto Scaling and Time to Live (TTL), are particularly useful in serverless architectures, and distill the best practices to help you create effective serverless applications. In the second part, we talk about how CapitalOne migrated billions of transactions to a completely serverless architecture and built a scalable, resilient and fast transaction platform by leveraging DynamoDB, AWS Lambda and other services within the serverless ecosystem."
Unlocking New Todays - Artificial Intelligence and Data Platforms on AWSAmazon Web Services
熱門創新服務專題
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWS (Level 200)
Speaker: Paul Yung, Head of Territory Development HKT, AWS
SRV313_Building Resilient, Multi-Region Serverless ApplicationsAmazon Web Services
Serverless computing already provides high availability and fault tolerance for your application by default. However, you can build serverless applications that are deployed across multiple regions in order to further increase your availability and fault tolerance. In this session, we show you how to architect a multi-region serverless application with Amazon API Gateway and AWS Lambda that can route end users to the appropriate region to achieve optimal latency or availability. Learn about the different options for running an active/active versus an active/passive multi-region setup, and the setup for failing over between regions.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
How do you create a frictionless travel experience, where merely by walking into the hotel you’re automatically checked in and hotel associates greet you by name? By combining sophisticated Machine Learning, Location/Motion Tracking, Event Streaming and Serverless architecture with AWS components run on Cloud, we’re able to create the foundation for this experience without significant time and capital investment. Accenture will demonstrate how to determine accurate location and motion by passively scanning Bluetooth signals, establish who and where you are, and deduce your intent by creating a network of information including profile, motion and activity. We are reinventing the hospitality experience, and are beginning to use the technology in industries as diverse as healthcare and mining. Join Accenture for a demo and architecture discussion focused on the power of combining architecture components to optimize the customer experience, speed to market, and operating cost.
Attendees will learn more about the considerations, risks and implications of the company’s cloud transformation program; see examples of reference architectures and implementation guides; and understand what contributed to the success of the program.The patterns presented will be broadly applicable to complex, global organizations with aspirations to make the journey to AWS cloud
Session sponsored by Accenture
Enabling Big Data Computing at Pfizer with AWS Service Catalog and AWS Lambda...Amazon Web Services
In this session, data analysts, big data administrators, system administrators, developers, and IT managers learn how to create a robust computing environment for their own teams. As enterprises move to the cloud—providing secure, governed turnkey solutions at scale to a broad set of users faces its own challenges—organizations need to ensure charge back and tracking mechanisms while also rapidly creating new turnkey solutions that are readily available to a broad set of end users to keep up with innovation. With AWS Service Catalog, AWS Lambda, Amazon CloudWatch Events, Amazon DynamoDB, and AWS CloudFormation, Pfizer’s Big Data team is defining and enabling the next paradigm of computing at Pfizer.
NEW LAUNCH! How to build graph applications with SPARQL and Gremlin using Ama...Amazon Web Services
In this session, we will demonstrate how you can easily start using graph databases to solve your business problems. We will demonstrate setting up a Neptune instance, loading the dataset and using Gremlin and SPARQL via Java to build a application. We will also cover scaling, availability and administrative aspects of the Neptune service.
SRV301-Optimizing Serverless Application Data Tiers with Amazon DynamoDBAmazon Web Services
"As a fully managed database service, Amazon DynamoDB is a natural fit for serverless architectures. In this session, we dive deep into why and how to use DynamoDB in serverless applications, followed by a real-world use case from CapitalOne.
First, we dive into the relevant DynamoDB features, and how you can use it effectively with AWS Lambda in solutions ranging from web applications to real-time data processing. We show how some of the new features in DynamoDB, such as Auto Scaling and Time to Live (TTL), are particularly useful in serverless architectures, and distill the best practices to help you create effective serverless applications. In the second part, we talk about how CapitalOne migrated billions of transactions to a completely serverless architecture and built a scalable, resilient and fast transaction platform by leveraging DynamoDB, AWS Lambda and other services within the serverless ecosystem."
Unlocking New Todays - Artificial Intelligence and Data Platforms on AWSAmazon Web Services
熱門創新服務專題
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWS (Level 200)
Speaker: Paul Yung, Head of Territory Development HKT, AWS
SRV313_Building Resilient, Multi-Region Serverless ApplicationsAmazon Web Services
Serverless computing already provides high availability and fault tolerance for your application by default. However, you can build serverless applications that are deployed across multiple regions in order to further increase your availability and fault tolerance. In this session, we show you how to architect a multi-region serverless application with Amazon API Gateway and AWS Lambda that can route end users to the appropriate region to achieve optimal latency or availability. Learn about the different options for running an active/active versus an active/passive multi-region setup, and the setup for failing over between regions.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
With recent reports that banks face a regulatory change every 12 minutes, it’s no wonder firms increasingly look to automate compliance and reduce operational risk. By leveraging the latest technology advances—including cognitive computing, enhanced analytics, digital identities, big data, and the cloud—they hope to reduce their compliance burdens and free human and financial capital for more productive uses. Today's cutting-edge approaches offer advantages for agility, speed, and ease of integration. In this session, we dive deeper into the cloud-based RegTech solutions that are available on AWS.
Interested in developing your AWS Partner Network (APN) partner business with government, education, and nonprofit customers? Join us to learn more about partner opportunities in the public sector. Hear best practices and success stories, and learn about available APN tools, training, and benefits.
AWS reInvent 2017 recap - Optimizing Costs as You Scale on AWSAmazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
An Eye in the Sky: How Radiant Solutions Processes Satellite Imagery with AI ...Amazon Web Services
This planet is a big place filled with amazing and unusual things. Understanding every object, location, and action on this pale blue dot is an enormous challenge. As the world’s leading provider of high-resolution Earth imagery, data, and analysis, DigitalGlobe faces this challenge every day. They use automatic computer vision and machine learning where possible, but so far, the only true solution requires the most powerful information processing machine we know: the human brain. Scaling this solution to work on the trillions of satellite pixels collected by DigitalGlobe every day requires thousands of brains, all working in harmony. To address this, DigitalGlobe | Radiant's (now Radiant Solutions) Tomnod service uses Amazon Mechanical Turk, a crowdsourcing internet platform, to identify small objects appearing in large areas of new satellite imagery. Tomnod is heavily used for commercial and humanitarian purposes. In this session, you hear how Radiant Solutions uses crowdsourcing to help solve large-scale computer vision and machine learning problems.
BAP202_Amazon Connect Delivers Personalized Customer Experiences for Your Clo...Amazon Web Services
Join us for an overview and demonstration of Amazon Connect, a self-service, cloud-based contact center based on the same technology used by Amazon customer service associates worldwide to power millions of conversations. The self-service graphical interface in Amazon Connect makes it easy to design contact flows for self and assisted call-handling experiences, manage agents, and track performance metrics – no specialized skills required. In this session, you will hear from Capital One and T-Mobile on how they are using Amazon Connect to provide their customers with dynamic, natural, and personalized experiences. See how quickly you can get started with Amazon Connect and build your contact center.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
The threat model for IoT devices is very different from the threat model for cloud applications. Customers must understand what these threats are, prioritize them effectively, and navigate the growing ecosystem of partners that give customers tools to build secure IoT solutions. We showcase how to leverage partner solutions to mitigate threats, explain how to avoid common pitfalls, and make it clear that all IoT solutions must incorporate end-to-end security from the start. We begin with the steps to take in the manufacturing process, how to provision and authenticate devices in the field, and we cover solutions that can help customers comply with IT requirements in the maintenance phase of the product lifecycle.
WPS301-Navigating HIPAA and HITRUST_QuickStart Guide to Account Gov Strat.pdfAmazon Web Services
Join AWS in examining governance and compliance designs aimed at helping organizations meet HIPAA and HITRUST standards. Learn how to better validate and document your compliance, expedite access to AWS compliance accelerators, and discover new ways to use AWS native features to monitor and control your accounts. This session is for a technical audience seeking to dive deep into the AWS service offerings, console, and API.
NEW LAUNCH! Introducing Amazon SageMaker - MCL365 - re:Invent 2017Amazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SaeMaker on AWS for real-time fraud detection.
RET305-Turbo Charge Your E-Commerce Site wAmazon Cache and Search Solutions.pdfAmazon Web Services
In this retail-focused workshop, we review and solve some of the common technical challenges that retailers face. These include scaling their backend databases to accommodate fluctuating demand and enabling full-text product search to achieve more relevant product search results. Bring your laptops, because after reviewing the proposed solutions, you can get hands-on with Amazon ElastiCache for Redis and see how easy it is to reduce the cost and pressure to your backend database, while dramatically improving the performance. We also show how you can leverage the Amazon Elasticsearch Service for building a full-text search solution.
In this session, you will learn best practices for implementing simple to advanced AI/ML use cases on AWS. First. we will review the decision points for using democratised services such as Amazon Lex, Amazon Polly and integration with services such as Amazon Connect. Then we will look at real use cases, optimising the customer experience with chatbots, streamlining the customer experience predicting responses with Amazon Connect. Finally, we will dive deep into the most common of these patterns and cover design and implementation considerations. By the end of the session you will understand how to use Amazon Lex to optimise the user experience, through different user interactions.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The Internet of Things (IoT) keeps evolving, and there’s a critical need for high-speed data processing, analytics, and reduced latency at the edge. Meeting the needs of these systems that leverage a distributed architecture to bring compute resources to the edge and the cloud is essential. A cloud-only model might not be applicable for time-sensitive operations or where network connectivity is poor. Also, connecting every device to the cloud and sending raw data over the internet can have privacy, security, and legal implications, especially for sensitive data. Learn how AWS extends AWS Greengrass to devices, so they can act locally on data and use the cloud for management, analytics, and durable storage.
EUT303_Modernizing the Energy and Utilities Industry with IoT Moving SCADA to...Amazon Web Services
Supervisory Control and Data Acquisition (SCADA) systems are critical real-time software applications used to manage nearly any form of upstream, midstream, and downstream processes in the energy industry. Traditionally, these technologies have been deployed on premises and managed separately from core IT, to ensure security, availability and consistent performance.
As energy and utility companies expand geographically, and the number and types of sensors in each location grow, disparate and growing data streams are becoming increasingly complex and challenging to manage. It is estimated that up to 95% of valuable device and sensor information is left stranded in the field, information that could prove valuable to machine learning, predictive analytics, and process optimization.
In this session, energy and utility customers will learn how easy it is to implement IIoT on AWS, so they can easily extract value from additional devices and sensors, and innovate faster. We will dive into a reference architecture for accessing current mission critical SCADA data as well as previously stranded data into AWS using Kinesis and DynamoDB, ultimately enabling customers to reduce downtime, increase efficiencies, improve reliability, and gain more business insights through connected data.
(Diapositivas de presentación son en inglés.)
El uso del cloud en entornos empresariales representa una gran oportunidad. En esta sesión hablaremos de como grandes corporaciones están definiendo las mejores practicas para organizar y acelerar la adopción de la nube en entornos complejos en colaboración con AWS.
Management in a Cloud Centric World – The NEW Business ParadigmResellerClub
Management in a Cloud Centric World – The NEW Business Paradigm
Did you know that 90% of mobile users keep their device within arm’s reach, 100% of the time. Come and learn how Cloud is delivering on its promise to be a game-changing and disruptive enabler of business value. This session will talk about customer examples of business transformation leveraging cloud centric technologies and how you can get started today !! We will also focus on some of the systems management capabilities required in such a cloud centric world.
Manish Aggarwal
Cloud Strategy Manager
IBM
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
With recent reports that banks face a regulatory change every 12 minutes, it’s no wonder firms increasingly look to automate compliance and reduce operational risk. By leveraging the latest technology advances—including cognitive computing, enhanced analytics, digital identities, big data, and the cloud—they hope to reduce their compliance burdens and free human and financial capital for more productive uses. Today's cutting-edge approaches offer advantages for agility, speed, and ease of integration. In this session, we dive deeper into the cloud-based RegTech solutions that are available on AWS.
Interested in developing your AWS Partner Network (APN) partner business with government, education, and nonprofit customers? Join us to learn more about partner opportunities in the public sector. Hear best practices and success stories, and learn about available APN tools, training, and benefits.
AWS reInvent 2017 recap - Optimizing Costs as You Scale on AWSAmazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
An Eye in the Sky: How Radiant Solutions Processes Satellite Imagery with AI ...Amazon Web Services
This planet is a big place filled with amazing and unusual things. Understanding every object, location, and action on this pale blue dot is an enormous challenge. As the world’s leading provider of high-resolution Earth imagery, data, and analysis, DigitalGlobe faces this challenge every day. They use automatic computer vision and machine learning where possible, but so far, the only true solution requires the most powerful information processing machine we know: the human brain. Scaling this solution to work on the trillions of satellite pixels collected by DigitalGlobe every day requires thousands of brains, all working in harmony. To address this, DigitalGlobe | Radiant's (now Radiant Solutions) Tomnod service uses Amazon Mechanical Turk, a crowdsourcing internet platform, to identify small objects appearing in large areas of new satellite imagery. Tomnod is heavily used for commercial and humanitarian purposes. In this session, you hear how Radiant Solutions uses crowdsourcing to help solve large-scale computer vision and machine learning problems.
BAP202_Amazon Connect Delivers Personalized Customer Experiences for Your Clo...Amazon Web Services
Join us for an overview and demonstration of Amazon Connect, a self-service, cloud-based contact center based on the same technology used by Amazon customer service associates worldwide to power millions of conversations. The self-service graphical interface in Amazon Connect makes it easy to design contact flows for self and assisted call-handling experiences, manage agents, and track performance metrics – no specialized skills required. In this session, you will hear from Capital One and T-Mobile on how they are using Amazon Connect to provide their customers with dynamic, natural, and personalized experiences. See how quickly you can get started with Amazon Connect and build your contact center.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
The threat model for IoT devices is very different from the threat model for cloud applications. Customers must understand what these threats are, prioritize them effectively, and navigate the growing ecosystem of partners that give customers tools to build secure IoT solutions. We showcase how to leverage partner solutions to mitigate threats, explain how to avoid common pitfalls, and make it clear that all IoT solutions must incorporate end-to-end security from the start. We begin with the steps to take in the manufacturing process, how to provision and authenticate devices in the field, and we cover solutions that can help customers comply with IT requirements in the maintenance phase of the product lifecycle.
WPS301-Navigating HIPAA and HITRUST_QuickStart Guide to Account Gov Strat.pdfAmazon Web Services
Join AWS in examining governance and compliance designs aimed at helping organizations meet HIPAA and HITRUST standards. Learn how to better validate and document your compliance, expedite access to AWS compliance accelerators, and discover new ways to use AWS native features to monitor and control your accounts. This session is for a technical audience seeking to dive deep into the AWS service offerings, console, and API.
NEW LAUNCH! Introducing Amazon SageMaker - MCL365 - re:Invent 2017Amazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SaeMaker on AWS for real-time fraud detection.
RET305-Turbo Charge Your E-Commerce Site wAmazon Cache and Search Solutions.pdfAmazon Web Services
In this retail-focused workshop, we review and solve some of the common technical challenges that retailers face. These include scaling their backend databases to accommodate fluctuating demand and enabling full-text product search to achieve more relevant product search results. Bring your laptops, because after reviewing the proposed solutions, you can get hands-on with Amazon ElastiCache for Redis and see how easy it is to reduce the cost and pressure to your backend database, while dramatically improving the performance. We also show how you can leverage the Amazon Elasticsearch Service for building a full-text search solution.
In this session, you will learn best practices for implementing simple to advanced AI/ML use cases on AWS. First. we will review the decision points for using democratised services such as Amazon Lex, Amazon Polly and integration with services such as Amazon Connect. Then we will look at real use cases, optimising the customer experience with chatbots, streamlining the customer experience predicting responses with Amazon Connect. Finally, we will dive deep into the most common of these patterns and cover design and implementation considerations. By the end of the session you will understand how to use Amazon Lex to optimise the user experience, through different user interactions.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The Internet of Things (IoT) keeps evolving, and there’s a critical need for high-speed data processing, analytics, and reduced latency at the edge. Meeting the needs of these systems that leverage a distributed architecture to bring compute resources to the edge and the cloud is essential. A cloud-only model might not be applicable for time-sensitive operations or where network connectivity is poor. Also, connecting every device to the cloud and sending raw data over the internet can have privacy, security, and legal implications, especially for sensitive data. Learn how AWS extends AWS Greengrass to devices, so they can act locally on data and use the cloud for management, analytics, and durable storage.
EUT303_Modernizing the Energy and Utilities Industry with IoT Moving SCADA to...Amazon Web Services
Supervisory Control and Data Acquisition (SCADA) systems are critical real-time software applications used to manage nearly any form of upstream, midstream, and downstream processes in the energy industry. Traditionally, these technologies have been deployed on premises and managed separately from core IT, to ensure security, availability and consistent performance.
As energy and utility companies expand geographically, and the number and types of sensors in each location grow, disparate and growing data streams are becoming increasingly complex and challenging to manage. It is estimated that up to 95% of valuable device and sensor information is left stranded in the field, information that could prove valuable to machine learning, predictive analytics, and process optimization.
In this session, energy and utility customers will learn how easy it is to implement IIoT on AWS, so they can easily extract value from additional devices and sensors, and innovate faster. We will dive into a reference architecture for accessing current mission critical SCADA data as well as previously stranded data into AWS using Kinesis and DynamoDB, ultimately enabling customers to reduce downtime, increase efficiencies, improve reliability, and gain more business insights through connected data.
(Diapositivas de presentación son en inglés.)
El uso del cloud en entornos empresariales representa una gran oportunidad. En esta sesión hablaremos de como grandes corporaciones están definiendo las mejores practicas para organizar y acelerar la adopción de la nube en entornos complejos en colaboración con AWS.
Management in a Cloud Centric World – The NEW Business ParadigmResellerClub
Management in a Cloud Centric World – The NEW Business Paradigm
Did you know that 90% of mobile users keep their device within arm’s reach, 100% of the time. Come and learn how Cloud is delivering on its promise to be a game-changing and disruptive enabler of business value. This session will talk about customer examples of business transformation leveraging cloud centric technologies and how you can get started today !! We will also focus on some of the systems management capabilities required in such a cloud centric world.
Manish Aggarwal
Cloud Strategy Manager
IBM
Learn how you can use AWS to adapt to a changing interconnected market, and take advantage of global responsiveness and minimal barriers to innovation. AWS can help you create value for the business in addition to saving costs on infrastructure. Gain insights from lessons learned and recommendations on how to accelerate the path to business value.
AWS Data-Driven Insights Learning Series_ANZ Sep 2019 Part 2Amazon Web Services
AWS has been supporting companies across Australia and New Zealand to put their most innovative tools and technologies to work to achieve their business needs and goals. AWS and our ecosystem of partners has helped the likes of CP Mining, IntelliHQ, WesCEF, Oz Minerals, Woodside and many more to modernise their analytics and data architecture in order to successfully generate business value from their data.
This event series aimed to educate customers with a broader understanding of how to build next-gen data lakes and analytics platforms and make connections with AWS.
Enterprises that are embracing cloud computing are interested in driving fundamental changes in their business so they can compete in the future. IT transformation, enabled by cloud adoption, is a key component of this future success—from tighter alignment with business unit stakeholders to increased agility and pace of innovation. In this session, we explore the potential for transformation that comes with cloud adoption and discuss how some of the world’s leading enterprises were able to transform. We also explore organizational and technology best practices that you can implement to support transformation in your organization.
At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. It's also core to the capabilities our customers experience – from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
Learn how you can use AWS to adapt to a changing interconnected market, and take advantage of global responsiveness and minimal barriers to innovation. AWS can help you create value for the business in addition to saving costs on infrastructure. Gain insights from lessons learned and recommendations on how to accelerate the path to business value.
An Overview of Best Practices of Large-Scale Migrations - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand the processes for mass migration to AWS
- Become familiar and understand the key services, programs and solutions to help smooth the migration
- Provide a blueprint for the different migration strategies and models to help accelerate AWS adoption
Mining intelligent insights with ease: AI/ML for Financial ServicesAmazon Web Services
This year, the focus goes beyond technology to mining business insights around how cloud enables strategic industry trends such as Open and Virtual Banking and Insurance, Security and Compliance, Data Analytics and AI/ ML, FinTech and RegTech, Surveillance and more through sharing of best practices and use cases. In sessions led by customers, partners, industry leaders and AWS subject matter experts, you’ll learn how AWS helps financial institutions to focus on the innovation and outcomes that truly drive business forward. Business stakeholders, market makers, and technology owners will all learn something new, valuable and actionable.
Deliver New Customer Experiences Through AI-enabled ChatbotsAmazon Web Services
Chatbots allow companies to mimic human conversations with their customers. Built upon artificial intelligence (AI) and machine learning (ML), they provide instantly available support that is adaptive to user needs and improves with use over time.
Learn how organizations are leveraging this new technology to improve customer engagement by better tailoring their marketing efforts, while at the same time reducing costs and overhead.
Deloitte Digital will showcase their conversational chatbot solution built on Amazon Web Services (AWS) and utilizing Amazon Lex. Discover how companies can rapidly build a proof of concept prior to integrating, launching, and rapidly scaling them to the market.
Developing Modern Applications in the CloudCobus Bernard
Components that make up building modern applications in the cloud with specific focus on containers, functions, infrastructure-as-code and deployment pipelines.
Accelerating_Enterprise_Cloud_Transformation_By_Master_IT_ComplexityAmazon Web Services
Adoption of cloud native architecture and multi-cloud services become the strategic path for competitive advantage. While the dynamic and complexity nature of the new platform introduce risks to realize the values, join us to see how our third generation software intelligence platform paves the way for autonomous cloud management, which maximize the values of your cloud investment.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
4. The Four Imperatives for Smart Applications
Use data driven
intelligence to make
applications robust and
secure yet provide
great user experience
Smart Interactions
Humanize user
interactions with
applications by
leveraging natural
means of interaction
such as conversations
and artificial reality
Smart Processes
Smart Platforms Smart Security
Enable business agility
through hyper automation
and adaptive and
intelligent business
process management
Leverage platform approach
to bring transformational
business capabilities into the
core of the enterprise and
build a foundation for
the digital business
1
2
3
4
14. Shirish Lal, Harte Hanks
CRM 4.0: Digital Transformation of the Front Office
Leveraging Cloud and Big Data
15. 15
Leading edge organizations are leveraging Amazon Web Services (AWS) to transform
rather than optimize their GTM processes
The best example we have seen is Amazon Commerce, which has integrated real-time
predictive and behavioral analytics to drive extreme personalization into its customer
experience
Most organizations remain significantly behind Amazon despite the common use of
Amazon Commerce as a benchmark for Digital Transformation
Significant challenges exist in internally catching up to Amazon
Harte Hanks and Wipro have partnered with technology leaders such as AWS, Opera,
and usermind to offer a rapid, cost effective approach to Digital Transformation
CIOs must play an integral part of the transformation process by working with CMOs
on how technology can drive GTM process transformation
Overview
16. 16
Use of Personalization in CRM Marketing
Direct Mail
Psychographic,
Demographic
Personalization
(CRM 1.0)
Multichannel
Psychographic,
Demographic
Personalization
(CRM 2.0)
True 1 to 1
Omnichannel
Analytically Driven “In
the Moment”
Behavioral
Personalization at the
Individual Level
(CRM 3.0)
Alexa: AI
Interface
(CRM 4.0)
COSTANDCOMPLEXITY
Pre-CRM
Human to Human
17. 17
There are major business opportunity and cost gaps between those
who can deliver Customer Centered Marketing and those who can’t
Sales data from the MyBuys database
of some 250 million shoppers:
Customer-centric marketing delivers a
25% increase in total online sales and
a 300% improvement in customer
lifetime value, according to the company
MORE SALES
Automated personalized
experiences generate 50%
more leads—at a 33%
lower cost—on average
GREATER ROMI
18. 18
Amazon embraced customer centricity early on.
Now they are the ones setting the bar.
"Our vision is to be earth's most
customer-centric company; to
build a place where people can
come to find and discover
anything they might want to buy
online.”
Two key pillars to delivering
customer centered marketing…
AMAZON. COM
MI SSI ON STATEMENT
Experience: Make the customer
experience easy, enjoyable and
convenient. Happy customers will
share their positive interactions with
your brand.
Communications: Personalize the
message to customers, based upon
what they buy, and in a way they
like. Provide tailored, relevant
communications based on
customer preferences.
19. 19
Amazon: Use of Analytics to Drive Real-Time Personalization
300+
microservices
executed from
1st to 2nd
webpage
Business Intelligence Decisioning Engine eCom Presentation
Real-time behavioral and predictive
analytics at the customer level
Continuous learning enablement
Machine learning and AI enabled
Agile low cost development of
content
Lego-like approach to allow
maximum reuse
Micro-Content Store
Manage customer journey logic
Manage A/B and multivariate testing
Microservices architecture
20. 20
But there are many barriers for corporations who seek to achieve
“Amazon-like” personalization
Thousands of Hadoop,
Spark, and Cloud
engineers
1000+ economists and
data scientists
Appeal of working at a
cutting edge tech firm
Amazon has gotten to
its current approach
over a multi-year
journey
Amazon has massive
eCom scale
Amazon has limited
near term earnings
pressure
Duplicating Amazon
approach likely in 9
figures or more
Investment TimeHuman capital
21. 21
Digital Transformation Requires CIOs to Work with CMOs to Drive
Transformation or for Organizations to Bring In a CDO
CIO as revenue generator CIO as cost center
Build is difficult in early adopter or early majority stage
Shrinking product lifecycles put more pressure on build strategy
SaaS and IaaS make buying easier
Early adopter:
High cost
High risk
High differentiation
Early majority:
Medium to high cost
Medium/high risk
Medium/high
differentiation
Mass market:
Low/medium risk
Low/medium cost
Low/medium
differentiation
Laggards:
Low
Low
No differentiation
22. 22
Harte Hanks and Wipro Digital Transformation Solutions:
Amazon-like Capabilities at 1/10 Cost and 1/10 Time
• Partnerships and capabilities in
all major Front Office Systems
including Salesforce, SAP,
Oracle…
• Creates a Real-time
Behavior, Predictive, and
Descriptive System of
Intelligence
• - 4GL approach drastically
reduces cost and time
• - Proven implementations in
multiple Global 500s
• Practice focused on
assessing, designing, and
refining customer journeys
• Pre-integrated
third-party
data from 10+
best of breed
B2C and B2B
providers
• WIPRO offers low
cost approach to
deploying a services
layer to legacy
systems
• Agile, low cost
onshore/offshore content
development
Signal Hub | BI Engine which:
Legacy Systems: Harte Hanks Agency:
Harte Hanks Customer
Journey Logic:
Harte Hanks Global Dataview:
API MICRO CONTENT
THIRD-PARTY
DATA
Wipro/Harte Hanks Front
Office Systems
23. 23
Personalization Go-To-Market-Systems Roadmap
R/SAS
Analytics Engine
Real-Time
Analytics
Hadoop-Based Nextgen
Database System
3rd-Party Data
Marketing
Automation
Sales
Automation
eCom CRM POS
Core GTM Systems
CMS
SYSTEM OF
INTELLIGENCE
MI DDLEWARE PLATFORM
1st-Party Data2nd-Party Data
Data Explosion including:
• Location data, widely available 2nd-party data, usage data, IoT data, web usage…
FRONT OFFICE
MIDDLEWARE
24. 24
Go-To-Market Transformation: Direct Mail
Traditional Direct Mail Approach
• Low cost per piece
• Target large audience regardless of purchase
stage
• Pre-planned timing
• Limited personalization
• < 1% response rate
Real-time Driven Direct Mail Approach
• Medium to high cost per piece
• Trigger mail in real time based on prospect’s
digital and other activity
• High degree of personalization based on real-
time information
• 5+% Response Rate
• 10x+ conversion improvement versus digital
retargeting
25. 25
Conclusion
In a Voice Interface Future, extreme personalization will move from a differentiator to minimum requirement
A legacy technology infrastructure and approach to personalization will be extremely disadvantaged
Harte Hanks and Wipro have invested in an AWS-based solution for Go-To-Market Transformation
Plan for the Future