Listen to Your Customers' Social Voice & Engage Them with Delightful Experiences (DIG301) - AWS re:Invent 2018

•

1 gostou•188 visualizações

In this session, we demonstrate how to easily deploy an AWS solution that ingests all Tweets from any Twitter handle, uses Amazon Comprehend to generate a sentiment score, and then automatically engages customers with a personalized message. The intended audience includes developers and marketers who want to leverage AWS to create powerful user engagement scenarios. We highlight how quickly a machine-learning marketing solution can be deployed. We cover the AWS services Amazon Pinpoint, a digital user engagement service, and Amazon Comprehend, a natural language processing service that uses artificial intelligence and machine learning to find insights and relationships in text.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Listen to Your Customersʼ Social
Voice & Engage Them with
Delightful Experiences
9 1 9 6 5
Zach Barbitta
Sr. Product Manager
Amazon Pinpoint
Matt Dombrowski
Solutions Architect
AWS
Harshal Pimpalkhute
Sr. Product Manager
Amazon Lex

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What to expect from this session
1. Understanding what we’re solving for
(3 mins)
2. Brief intro to the services being discussed
(9 mins):
• Amazon Pinpoint
• Amazon Comprehend
• Amazon Lex
3. Architecture walk-through (9 mins)
4. Live demo (with audience participation)
(20 mins)
5. Q&A (10 mins)

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Customers (you and I) ultimately want the following from brands
• Customers want to be heard
• But how to scale for the millions of
contact points?
• Customers want frictionless engagement,
with real-time support and answers
• But how to customize for each user?
• Customers want you to come to them,
not to be pushed to a particular channel
• How to be everywhere, always

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Intro to AWS services
being discussed today

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Collect device data
(standard attributes)
Collect interaction
data (events)
Create more defined
segments (tools to help)
Intro to Amazon Pinpoint
With Amazon Pinpoint, companies can leverage customer data and overcome the hurdles to
successful targeted and transactional messaging
Send notifications that
matter (targeted &
transactional)
Build customer
characteristics and
preferences
1
2
3
45

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Intro to Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine
learning to find insights and relationships in text

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Intro to Amazon language services
Amazon
Polly
A text-to-
speech service
that converts
text to lifelike
speech
Amazon
Transcribe
An automatic
speech recognition
(ASR) service that
makes it easy for
developers to add
speech-to-text
capability to their
applications
Amazon
Translate
Neural machine
translation service
that delivers fast,
high-quality, and
affordable
language
translation
Amazon
Comprehend
Natural language
processing (NLP)
service that uses
machine learning
to find insights
and relationships
in text
Amazon
Lex
Service for
building
conversational
interfaces into
any application
using voice and
text

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Intro to Amazon Lex
One-click deployment
Completely managed
service
Native integration with
AWS Lambda
Encrypted data in
transit & rest
Native support for DM
ASR + NLU integrated into
one API
Amazon Polly
integrated into API
Monitor &
improve

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Architecture walk-through

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon
Lex
> “What’s the status of flight FA1234”
“Arriving 1:23pm JFK C5” <
“Flight FA1234 delayed ETA 2:45pm”
“Now at terminal D gate D5”

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Give it a try!
Step 1: Go to Facebook and search for “fictitious airline”
Use Facebook Messenger to engage with the bot
Step 2: Ask a question, leave a comment, and wait for Amazon Lex to engage
User > Hello
Hi there! How can I help you? < Bot
User > What’s the status of FA1234
Arriving JFK at 1:15pm < Bot
I will let you know if anything changes < Bot
Step 3: Find the Easter egg
Hint 1: Flight status to an island
Hint 2: I’m like “OMG”
Hint 3: HA! It’s the same as the session ID

Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

Mais conteúdo relacionado

Mais procurados

AWS Elemental MantaRay is a new service that makes it easy for broadcasters and other video providers to reliably ingest and distribute live video in the AWS Cloud. In this session, learn how customers of all sizes, from small outlets covering local sporting events to large national broadcast television networks with 24x7 live TV channels, ingest content from sources like stadiums or TV studios into the AWS Cloud – and then securely transmit video to multiple destinations with broadcast-grade reliability and operational visibility. Once video content is inside AWS, it becomes easier to use AWS for broader media workloads, such as storage, transformation, and machine learning, using AWS Media Services or Amazon Rekognition, for example. See firsthand how customers save money with cloud vs. traditional video distribution methods, and gain scale and agility in supporting new revenue streams.

[NEW LAUNCH!] Introducing AWS Elemental MantaRay (CTD325) - AWS re:Invent 2018

Amazon Web Services

Car buyers demand more experiences from their vehicles than ever before. But as our vehicles adopt more advanced features, customers find it difficult to understand how to use them, resulting in low utilization. You can address this challenge using an interactive owner’s manual, providing customers with a visual, accessible way of understanding the features of their vehicles. In this session, we walk through the process of building an augmented reality vehicle owner’s manual application, combining augmented reality with Amazon Sumerian, voice interfaces using Amazon Lex and Amazon Polly, and underlying data provided by AWS IoT. Attendees walk away with an understanding of how to build an augmented reality interface to complement the physical controls of the vehicle cockpit.

Building an Augmented Reality Owner's Manual (AMT315) - AWS re:Invent 2018

Amazon Web Services

Alexa for Business enables you to deploy and manage Alexa skills for your organization. You can use Alexa skills to create smart conference rooms, help employees be more productive, and even create a unique experience for your customers. In this workshop, you have a chance to get hands on with Alexa for Business. You create an Alexa for Business organization, set up a private skills catalog for your organization, build a private skill for a Tableau BI application, and publish skills to your catalog. You also set up personal device enrollment, configure access policies for employees, and turn on voice authentication. Finally, you set up a virtual Alexa-enabled conference room and configure default dial-in information so you can join meetings using your voice. Bring your laptop and an existing AWS account. No previous Alexa experience is required.

Deploy Alexa for Business in Your Organization & Build Your First Private Ski...

Amazon Web Services

Get a behind-the-scenes look at how an AWS service team builds and operates the production APIs and services that power the AWS Serverless Application Repository. In this session, we discuss best practices and lessons learned from building and operating a completely serverless backend. Learn tips for managing serverless development projects, building APIs, processing streaming data, and monitoring production applications for a service built with more than 200 Lambda functions.

Lessons Learned from Building an AWS Service on AWS Lambda (SRV327-R1) - AWS ...

Amazon Web Services

In the zero-trust security environment at Netflix, identity management has historically been a challenge due to the reliance on its VPN for all application access. About one year ago, Netflix began exploring various identity solutions to alleviate the operational burden of maintaining its VPN. Additionally, it was looking for ways to provide a superior user experience. Join this chalk talk to learn how Netflix solved identity management at scale.

ALB User Authentication: Identity Management at Scale with Netflix (NET204) -...

Amazon Web Services

Build Workflows with Amazon CloudFront, Amazon Route 53, & Lambda@Edge (CTD40...

Amazon Web Services

Join us for a hands-on session on using AWS Lambda@Edge and Amazon CloudFront to deliver high-performance and personalized experience to your internet users across the globe. Walk away with a working setup of combining Amazon S3, Amazon DynamoDB, and CloudFront with Lambda@Edge to build websites that are simultaneously hosted across AWS locations across the world. Learn how to extend application architecture for scale and performance. We show you how to reduce origin costs by rendering web page content at the edge with open source libraries, such as jQuery and Mustache. We explore architecture, configuration, and DevOps with real examples of how AWS customers are using Lambda@Edge for their websites.

Customizing Content Delivery with Lambda@Edge (CTD415-R1) - AWS re:Invent 2018

Amazon Web Services

Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations.

BDA310 Transcribe and Translate

Amazon Web Services

In this session, learn from market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. We also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.

Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...

Amazon Web Services

Amazon Elasticsearch Service (Amazon ES) is both a search solution and a log monitoring solution. In this session, we address both. We build a front-end, PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon ES. We tune the relevance for the search experience and build Kibana visualizations for the log data. In addition, we use security best practices and deploy everything into a VPC.

Have Your Front End and Monitor It, Too (ANT303) - AWS re:Invent 2018

Amazon Web Services

Keeping track of state and orchestrating the components of a distributed application is complex. AWS Step Functions makes the job simpler, faster, and more intuitive. In this session, learn how to leverage AWS Step Functions to design and run workflows for your serverless, containerized, and instance-based architectures. We explore practical applications of orchestration spanning different industries and workloads. For each, we walk through the architecture, lessons learned, and business outcomes. Expect to leave this session with a practical understanding of how to use orchestration to express your application’s business logic more productively while improving its resilience.

Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...

Amazon Web Services

ALDO wanted to improve in-store customer experience by offering rapid personalized assistance. In this session, follow ALDO’s journey in adopting GraphQL and serverless technologies for their in-store modern apps. Learn how this global fashion brand is offering elevated real-time, personalized customer experiences while optimizing in-store retail operations. Hear how they integrated with their existing infrastructure, along with other challenges. They also share best practices that they are carrying forward for future apps.

All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...

Amazon Web Services

Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.

Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...

Amazon Web Services

Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...

Amazon Web Services

Do you have cyclical loads for your application? Do you want your applications to scale to a 9 to 5 pattern in various geographies? Learn how to set up Predictive Scaling using the AWS Auto Scaling Console. We will walk through use cases such as using Predictive Scaling with your existing scaling policies, setting up Predictive Scaling for multiple Auto Scaling Groups with a single scaling plan, and using Predictive Scaling with blue-green deployments. You will leave the session with a solid understanding of when and how to use Predictive Scaling.

How to Use Predictive Scaling (API331-R1) - AWS re:Invent 2018

Amazon Web Services

Many enterprises want to drive faster cloud adoption and time to market (TTM) by allowing their developers, who have various skill sets, to onboard onto AWS quickly using self-service. However, enabling security, governance, and compliance while not compromising user experience can be a challenge. In this session, Verizon demonstrates how they use the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating > 30% of their applications onto AWS in a short timeframe.

How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service...

Amazon Web Services

In this hands-on workshop, learn how to use Alexa Built-In to create products that you can talk to and use to access music, information, control smart-home devices, and all of Alexa's skills. We use the C++-based AVS Device SDK and a Raspberry Pi to access the cloud-based Alexa Voice Service (AVS). Leave this session with your own working prototype and the knowledge to bring your products to market.

Alexa for Device Makers: Create Products with Alexa Built-In Using AVS (ALX30...

Amazon Web Services

Moving hundreds of applications and thousands of servers to AWS requires planning and automation. In this builder session, we whiteboard how to plan your application migrations, discuss the best migration strategies for your applications, and explore how automation and AWS Migration Hub, AWS Application Discovery Service, AWS Server Migration Service, and AWS Database Migration Service can super charge your migrations at scale.

Plan, Track, and Execute Mass Migrations (ENT325-R1) - AWS re:Invent 2018

Amazon Web Services

Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018

Amazon Web Services

In this collaborative workshop facilitated by the AWS Solutions Builder team, you share your solutions-related knowledge and vision in areas such as networking, security, migration, big data, and mobile. As each team works through the exercise, you discuss ideas, give advice, and share challenges when building on AWS. You also identify the supporting resources and collateral you used or would like to see available. Each team has the opportunity to summarize and present their experience to the group. This is a great opportunity to collaborate with existing and prospective AWS users, validate your thinking and direction with AWS peers, review existing AWS solution offerings, discuss the resources that aid AWS solution design, and give direct feedback on your experience building solutions on AWS. Come prepared to share specific business problems that you have solved or would like to solve, questions or advice for building solutions, or any pain points you encountered during the process.

Addressing Your Business Needs with AWS (ARC323) - AWS re:Invent 2018

Amazon Web Services

Mais procurados (20)