AWS Online Tech Talks

Type: Service Intro | Level: 200

Health data is frequently incomplete and inconsistent, and is often unstructured, with information contained in clinical notes, laboratory reports, insurance claims, medical images, and recorded conversations, across disparate formats and systems. With Amazon HealthLake, healthcare and life science companies can securely store, transform, query and analyze health data at scale, unlocking new insights to improve clinical decision making, design better clinical trials and operate more efficiently. In this tech talk, you will learn how Amazon HealthLake can help you make sense of your health data and about the resources to help you get started.

What you'll learn:

• Get an introduction to Amazon HealthLake
• Understand how Amazon HealthLake can be applied to common use cases
• Learn how to get started with Amazon HealthLake

Speaker(s): Satadal Bhattacharjee, Sr. Manager PMT, AWS

Who Should Attend: Technical leaders and practitioners in the Healthcare and Life sciences space.

Type: Service Intro | Level: 300

Data scientists and developers are building increasingly large and complex machine learning models for greater accuracy in their model’s predictions. This results in increased compute resource utilization and is driving up the cost to train ML models. AWS offers a range of accelerator powered Amazon EC2 instances that deliver the optimal price performance for training your deep learning models. Attend this tech talk to learn more about how you can effectively meet your performance and budget needs using Amazon EC2 accelerated instances.

What you'll learn:

• Learn how to get started with training deep learning models with AWS
• Learn about better price performance for common deep learning models such as BERT and ResNET
• Learn how you can easily build, train, and deploy your models using AWS ML infrastructure and cloud services

Speaker(s): Leif Reinert, Sr. Product Manager, AWS

Who Should Attend: Data Scientists, ML Developers, IT Managers

Type: Use Case How To | Level: 300

Increasingly, manufacturers are leveraging new digital technologies to optimize their business processes, speed innovation, and lower costs. In this tech talk, you will discover how Overall Equipment Effectiveness (OEE) is only part of the picture in successful manufacturing. Learn how augmenting industrial performance metrics from AWS IoT SiteWise with machine vision using Amazon Kinesis Video Streams and Amazon SageMaker Ground Truth to build highly accurate datasets for machine learning, can deliver a virtual Andon system that gives factory workers the power to quickly and easily spot and report production issues.

What you'll learn:

• Learn how to collect, organize, and analyze data from industrial equipment
• Learn how to compute industrial performance metrics
• Discover how to identify production issues on the factory floor using AWS and AWS IoT services

Speaker(s): Andrew Delamare, Senior IoT Specialist Solutions Architect, AWS

Who Should Attend: Business Decision Makers, Line of Business Owners, Data Architects and Engineers, Cloud Architects, Industrial Developers, Engineering Teams and Leadership

Type: Use Case How To | Level: 100

As part of your modern data strategy, Machine Learning (ML) is one of the most disruptive technologies of our generation. It can help create entirely new revenue opportunities, make better and faster decisions, or improve operational efficiencies. In the fullness of time, virtually every application will be infused with ML and Artificial Intelligence (AI). Come to this tech talk to hear how AWS meets customers where they are in their journey and helps them achieve specific business outcomes with the broadest and most complete set of ML and AI services for builders of all levels of expertise.

What you'll learn:

• Learn how a modern data strategy incorporates machine learning
• Learn about how machine learning can help enhance your customer experience, improve productivity and optimize business processes, or speed up and scale up innovation
• Learn about AWS machine learning solutions

Speaker(s): Laura Jones, Senior Manager, AI Product Marketing, AWS

Who Should Attend: Technical Decision Makers, Data Scientists, Analytics Leaders

Type: Service How To | Level: 300

The healthcare and life sciences (HCLS) industry faces mounting pressure to deliver more personalized treatments, streamline processes, modernize every aspect of the pharma value chain, and keep patient information private and secure. Machine learning (ML) addresses these challenges by automatically identifying anomalies in medical images, building personalized healthcare treatment plans based on historical data and documents, and identifying suspicious healthcare claims so HCLS organizations can offer higher quality, more holistic treatment at lower costs. In this tech talk, you'll learn how Amazon SageMaker enables patients, providers, payers, and researchers to prepare, build, train, and deploy high quality ML models at lower cost and at scale.

What you'll learn:

• Discover challenges in the healthcare and life sciences industry and how ML can address key use cases, such as fraud detection and anomaly detection
• Learn how SageMaker can help healthcare and life sciences companies prepare, build, train, and deploy high quality ML models
• Walk through a demo to understand how to use SageMaker to automate medical diagnosis

Speaker(s): Ujjwal Ratan, Principal AI/ML Solutions Architect, AWS

Who Should Attend: TDMs, Data Scientists, ML Developers

Type: Service How To | Level: 200

For customers self-managing relational database infrastructure, provisioning, operating, scaling, and managing databases is tedious, time-consuming, and expensive. Amazon Relational Database Service allows you to simply launch an optimally configured, secure, and highly available database using one of three popular and familiar engines: MySQL, MariaDB, or PostgreSQL. In this tech talk, learn about the benefits of moving to an open source engine with Amazon RDS, its fully managed features, and dive deeper with a demo from one of our AWS Data Heroes.

What you'll learn:

• Understand the benefits of migrating to fully managed Amazon RDS open source databases
• Learn about some of Amazon RDS’s most important fully managed features
• Dive deeper on how to migrate to fully managed Amazon RDS with a demo from one of our AWS Data Heroes

Speaker(s): Sneha Venkateswaran, Sr. Aurora MySQL WW GTM Spec, AWS; Álvaro Hernández, CEO, OnGres

Who Should Attend: Developers, Architects, DBAs, DevOps roles, IT Leaders

Type: Use Case How To | Level: 300

Customers are building location-based applications across myriad use cases from geomarketing to asset tracking and delivery. For example, a fire department may build an application to increase the safety of their volunteers using geofences, or muster points, to establish a designated safety zone in distress situations. Amazon Location Service and AWS Amplify can help you build secure, production-ready applications with location functionality, faster. In this tech talk, we will walk you through a demo that uses geolocation data to determine if a person is within a safety area or not by using Amazon Location Service with the help of AWS Amplify and AWS AppSync for an event-driven solution that relies on a managed, scalable, and secure architecture.

What you'll learn:

• Get an overview of Amazon Location Service and AWS Amplify
• Dive deeper into popular use cases for Amazon Location Service
• Learn how to implement Amazon Location's APIs to create geofences and track users

Speaker(s): Fernando Rocha, Specialist Solutions Architect, Mobile and Location, AWS

Who Should Attend: Front-End Application Developers; Full Stack Application Developers; Application Developers; Solution Architects

Type: What's New / Cloud Innovation | Level: 200

AWS Lake Formation makes it easy to build and secure data lakes in AWS. In this tech talk, we’ll cover exciting new features to make it easy to ingest data into the data lake, manage and optimize the data and secure it with finer-grained controls. We’ll explore how to use Governed Tables with ACID transactions to reliably ingest data into the data lake. We’ll dive deeper into how to classify and enforce permissions using Lake Formation tags and control access to data using Data Filters for row and cell-level security. Lots more to cover.

What you'll learn:

• Hear about the latest updates to AWS Lake Formation
• Understand use cases for new AWS Lake Formation features
• Learn how to get started

Speaker(s): Sanjay Srivastava, Prin. Product Manager, AWS

Who Should Attend: IT, Data Engineers, Cloud Architects, DataOps Engineers

Type: Service Intro | Level: 200

Developers use object storage to store static files for backups, website content, and much more. In this tech talk, you will learn of a new, low cost way to store your static content on Amazon Lightsail. You will also learn how you can improve website performance and speed by using object storage and content distribution networks on Lightsail.

What you'll learn:

• Learn of Lightsail's latest launch
• Learn general benefits of storage and different types of storage on AWS
• Learn how to use object storage with your website

Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS

Who Should Attend: Those new to the cloud looking to understand fundamental storage concepts and website builders looking to improve their website, Developers, Startups, Website builders

Type: Service Deep Dive | Level: 200

Platform operators know how fast things move and how many services need to coordinate when it comes to shipping code. Tracking the interdependencies between services and infrastructure is time consuming and halts productivity in its tracks. Meet AWS Proton: the first application delivery service for container-based and serverless applications. Get an up-close look at how AWS customers use AWS Proton to manage and maintain their platforms, free up their time, and control costs. You’ll learn about new features released at GA, view a demo of how to implement AWS Proton for your environment, and improve your application delivery process as well as manageability of your architecture.

What you'll learn:

• Discover best practices for creating and managing infrastructure-as-code templates
• Set up environment and service templates for developer teams self-service use
• Dive deep into multi-account and existing environment support

Speaker(s): Rafa Alvarez, Sr Product Manager, AWS Proton; Daisy Daivasagaya, Containers Go-to-Market Specialist, AWS

Who Should Attend: Platform Teams, DevOps Engineers, Infrastructure Operations

Type: Use Case How To | Level: 300

As industrial customers connect their factories to the cloud, they are looking to monitor equipment health, optimize line performance, eliminate unexpected downtime, and hit production targets. In this tech talk, learn how AWS IoT SiteWise can be used to easily connect to an industrial machine and calculate equipment metrics that provide insights to assess equipment performance. Discover how to extend these insights with Amazon Lookout for Vision to spot product defects and anomalies using computer vision that automates and improves quality inspections on the production line.

What you'll learn:

• Learn how to collect, organize, and analyze data from industrial equipment
• Learn how to compute industrial performance metrics
• Discover powerful capabilities to improve manufacturing quality using AWS and AWS IoT services

Speaker(s): Seibou Gounteni, IoT Specialist Solutions Architect, AWS

Who Should Attend: Business Decision Makers, Line of Business Owners, Data Architects and Engineers, Cloud Architects, Industrial Developers, Engineering Teams and Leadership

Type: Solutions Best Practices | Level: 200

Every time you enter an e-commerce website, you expect immediate response from the site with information like price, shopping history, and related products. Today, customers expect real-time speed when they interact with applications. Performance engineers and developers traditionally relied on specialized hardware and workarounds to manage real-time data. Now developers build modern applications using a cache to enable low latency, high throughput, and support for millions of requests per second. Caching enables these extreme performance requirements while also helping to reduce cost by offloading pressure from your primary database. In this tech talk, you will learn how you can boost the performance of real-time applications using Amazon ElastiCache for Redis, a fully managed, in-memory caching service, and Amazon DocumentDB (with MongoDB compatibility) for extreme performance, high scalability, availability, and security.

What you'll learn:

• Learn common application use cases that can benefit from in-memory acceleration
• Learn how to boost application performance with in-memory caching
• Hear about other benefits, such as potential cost savings

Speaker(s): Cody Allen, Sr. DocumentDB Specialist SA, AWS; Georges Leschener, Sr. Partner Solutions Architect, AWS

Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT, Application Architects, CIOs, Tech Decision Makers

Type: Service Intro | Level: 200

Customer conversations contain valuable information about trending issues and the efficiency and quality of your contact center operations. Unlocking these insights is often manual, time consuming, and restricted to a single contact center environment. Amazon Transcribe Call Analytics is a new ML-powered API that extracts conversation insights to improve customer experience (CX) and agent productivity. In this tech talk, you’ll learn how to produce rich call transcripts, surface agent/customer sentiment, detect issues, and identify non-talk time to help supervisors quickly find agent coaching opportunities. You will also discover how to uncover emerging trends within any inbound or outbound call application, and understand the needs of your customer faster.

What you'll learn:

• Discover how to unlock CX insights such as call categorization, issue detection, and searchable transcripts
• Analyze agent performance to find coaching opportunities and automate compliance review
• Explore how to uncover emerging issues and trends by analyzing inbound and outbound customer calls

Speaker(s): Andrew Kane, Principal AI/ML Specialist Solution Architect, AWS; Chris Featherstone, AWS Contact Center Intelligence and Amazon Transcribe WWSO; Kaustubh Khanke, Senior Product Manager, Amazon Transcribe

Who Should Attend: Contact center manager, COO, Customer Experience manager, Customer support manager, Developer, IT Professional, IT Leader, Business User

Type: Solutions Best Practices | Level: 300

Speed in software development requires being able to bootstrap development teams with best practices for DevOps, security, and infrastructure configuration. But too often teams find they have to make compromises with speed to ensure security and compliance. Application development teams need freedom to iterate and make adjustments without needing manual validation from the central teams. In this tech talk we lay out how AWS DevOps services solve these problems for organizations of various sizes and skill sets. We walk through best-practice patterns with services such as AWS CDK, AWS CFN Guard, and AWS Config for building speed, security, and compliance into your software delivery lifecycle.

What you'll learn:

• Learn how to build a DevOps workflow that prioritizes speed, security, and compliance
• Learn how to use AWS CDK, AWS CFN Guard, and AWS CodePipeline
• Learn how to use AWS Proton for container-based platform teams

Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS

Who Should Attend: DevOps Engineers, Platform Engineers, Cloud Native Development Leaders

Type: Service Deep Dive | Level: 300

Businesses increasingly need to gain faster insights from their data to improve their customer experiences, detect operational issues, and respond to emergent trends. In this tech talk, we will walk through Amazon Kinesis Data Analytics Studio, a recently launched feature of Amazon Kinesis Data Analytics, which allows you to interactively query data streams and rapidly develop stream processing applications using an interactive development environment powered by Apache Zeppelin notebooks, run on Apache Flink. The session will include a demo to help you easily build stream processing applications that can run at scale to continuously produce real time insights.

What you'll learn:

• Learn how to simplify ad hoc querying of your streaming data using serverless notebooks in Kinesis Data Analytics Studio.
• Understand how you can create a stream processing application in minutes using Kinesis Data Analytics Studio powered by Apache Flink and Apache Zeppelin.
• See a real-world example to perform analytics on a streaming data source using simple SQL and Python.

Speaker(s): Deepthi Mohan, Senior Product Manager, Amazon Kinesis Data Analytics; Jeremy Ber, Analytics Specialist Solutions Architect, AWS

Who Should Attend: Software Engineers, Data Engineers, Data Scientists

Type: Use Case How To | Level: 300

Consumers are embracing innovative products and experiences that make their lives easier, less expensive, and more personalized. To create these experiences, device manufacturers turn to solutions that pair the data generated by consumer products with technologies like IoT, AI/ML, analytics, and voice. Yet, collecting and processing the data coming from thousands–or millions–of devices, as well as managing device fleets, is no small undertaking. Join this tech talk to learn how you can use IoT data to deliver personalized, intelligent, and delightful consumer experiences at scale.

What you'll learn:

• Learn how you can connect smart products and easily manage them and their data at scale
• See use cases for using IoT data to deliver innovative consumer experiences
• Understand how to use AWS and AWS IoT services to make sense of and take action on IoT data

Speaker(s): Adrian Valenzuela, Sr. Go-To-Market Specialist, IoT, AWS; Sanika Natu, IoT Specialist Solutions Architect, AWS

Who Should Attend: IoT product owners, IoT architects, device manufacturers, Line Of Business (LOB) Application Developers, Data Engineer, smart product developers

Type: Service How To | Level: 300

AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to your on-premises facilities. Many AWS customers are using AWS Outposts for workloads requiring local data processing, low latency, data residency, and 2-step migration journeys. These workloads are often some of the most demanding in terms of durability and availability requirements. Join this tech talk to learn how you can architect AWS Outposts for high availability (HA) and disaster recovery (DR). We will share architecture considerations, recommended practices, and deployment patterns that you can apply.

What you'll learn:

• Find out about the updated Shared Responsibility Model with AWS Outposts and networking, compute and storage failure modes you should plan for
• Learn how you can design and build highly available applications and infrastructure solutions with AWS Outposts
• Understand how you can architect for disaster recovery on AWS Outposts

Speaker(s): Chris Lunsford, Sr. Solution Architect, AWS; Scott Howe, Sr. Solution Architect, AWS

Who Should Attend: IT managers and system architects looking to deploy AWS Outposts

Type: Service How To | Level: 300

For most companies, documents are the foundation of how business gets done whether it’s with contracts, insurance claims, invoices, receipts, or paper applications. These documents contain valuable information about your business or your customers. Using AWS Machine Learning (ML), you can harness the power of Optical Character Recognition (OCR), to extract and process critical business data from documents. In this tech talk, we will provide hands on examples of how you can process documents using Amazon Textract with an emphasis on invoices and receipts.

What you'll learn:

• Find out how to process invoices and receipts using Amazon Textract
• Learn about new features for processing documents that can help you discover insights stuck in your documents
• Find ways you can take the information within your documents and use it in downstream applications such as databases, analytics systems, or internal systems to help you organize the information

Speaker(s): Raj Copparapu, Senior PM, Amazon Textract; Andrea Morton-Youmans, Product Marketing, Intelligent Document Processing, AWS

Who Should Attend: BDM, TDM, developers

Type: Service How To | Level: 300

Contact center leaders often strive towards one goal, providing their customers with an efficient and convenient way to receive answers to their problems and support. 71% of companies are expecting customers to lean more towards digital channels, such as web and mobile chat, for quicker and more familiar interactions. With the recent launch of Apple Business Chat for Amazon Connect, companies can now provide their customers with a complete digital experience that is simple to use, yet intelligent. Join this tech talk to learn about the benefits of implementing digital channels, discover how Amazon Connect allows you to create this experience within the same user interface, and follow our demo to learn how you can easily get started.

What you'll learn:

• Explore ways that digital customer experiences can delight your customers by providing them with quicker and more convenient support
• Discover how the recent launch of Apple Business Chat for Amazon Connect empowers your customers to use channels most familiar to them
• Watch our demo to see how easy it is to set up your first digital channel within your customer experience

Speaker(s): Rob Pittfield, Sr. Specialist SA, Amazon Connect; Kun Qian, WW CSAT Specialist SA, AWS

Who Should Attend: IT Developers, Line of Business Leaders, CTO, CXO, CIO, COO, Contact Center Managers, Customer Experience Leaders, Contact Center Agents, Business Decision Makers

Type: CANCELLED | Level: 200

CANCELLED

What you'll learn:

• CANCELLED
• CANCELLED
• CANCELLED

Speaker(s): CANCELLED

Who Should Attend: CANCELLED

Type: Service How To | Level: 300

Amazon Elasticsearch Service is a popular solution for log analytics and search. Amazon Elasticsearch Service’s new cold storage tier enables you to retain historical and infrequently-accessed data durably and analyze it on-demand at a lower cost than other storage tiers. In this tech talk, learn how to use cold storage to retain any amount of data while reducing cost per GB to near Amazon S3 storage prices.

What you'll learn:

• Learn how to use Amazon Elasticsearch Service’s cold storage tier to reduce the costs of retaining your historical data for log analytics and search
• Explore the capabilities of Amazon Elasticsearch Service’s cold storage tier
• Understand the use cases for Amazon Elasticsearch Service’s cold storage tier

Speaker(s): Viraj Phanse, Sr. Product Manager, AWS; Jon Handler, Sr. Principal Solutions Architect, AWS

Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT, Cloud Engineers, users of Amazon Elasticsearch Service

Type: Service Intro | Level: 200

It’s not uncommon for modern applications to serve users all over the world. Maintaining high database performance for such globally distributed applications is a challenge for traditional databases. With Amazon Aurora Global Database, you can create up to 90 read replicas multiple AWS Regions to increase local read throughput to support high-volume application requests. In this tech talk, learn how to implement Aurora Global Database read replicas to boost performance for globally distributed applications.

What you'll learn:

• Learn how Aurora Global Database read replicas work
• Learn which applications and use cases can benefit from Aurora Global Database read replicas
• Learn how to deploy local read replicas to serve application traffic across AWS Regions

Speaker(s): Santosh Rao, Principal Product Manager, AWS

Who Should Attend: Developers, DBAs

Type: Service Intro | Level: 200

PostgreSQL 13 is the latest major version of one of the most popular open source databases, and includes a number of enhancements to performance, reliability, security, manageability, and more. Learn about what's new in PostgreSQL 13 and how you can get more out of your database with features like de-duplication of B-tree index entries, improved performance for queries that use partitioned tables, incremental sorting to accelerate data sorts, and more. Also, learn how easy it is to run highly available PostgreSQL 13 databases in AWS with Amazon RDS for PostgreSQL.

What you'll learn:

• Learn how PostgreSQL 13 adds enhancements to the open source database's performance, reliability, security, manageability, and international and mobile support
• Learn how new capabilities like de-duplication of B-tree index entries, improved performance for queries that use partitioned tables, incremental sorting to accelerate data sorts, and more make life easier for apps running on PostgreSQL
• Learn about running highly available PostgreSQL databases in Amazon RDS for PostgreSQL

Speaker(s): Shayon Sanyal, Sr. Database Specialist SA, AWS

Who Should Attend: PostgreSQL users, Developers, Database Administrators, System Administrators, and Open Source lovers

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD

Type: TBD | Level: TBD

TBD

What you'll learn:

• TBD
• TBD
• TBD

Speaker(s): TBD

Who Should Attend: TBD