AWS Online Tech Talks

Type: Service Deep Dive | Level: 300

AWS Contact Center Intelligence (CCI) solutions empower you to improve customer experience, boost agent productivity, and gain conversation insights by adding AI capabilities to the contact center of your choice—without any ML expertise. In this session, you will learn about AWS CCI solutions and how to integrate them to your preferred contact center. See a live demo on how to enable self-service conversational experiences, real-time call analytics and agent assist in a contact center that uses Session Initiation Protocol (SIP) for voice communication. Explore how AWS AI services power CCI solutions and integrate with SIP-based contact centers using Amazon Chime SDK.

What you'll learn:

• Learn about AWS CCI solutions and how to use AWS AI services to transform customer experiences.
• Explore how to integrate self-service capabilities and real-time call analytics to any SIP-based contact centers using Amazon Chime SDK.
• See how Post-call analytics provides actionable insights to spot emerging trends, identify agent coaching opportunities, and assess the general sentiment of calls.

Speaker(s): Babu Srinivasan, Sr. Specialist SA - AI Services, AWS; Court Schuett, Chime Specialist SA, AWS

Who Should Attend: COO, Contact center manager, VP/Director Customer Service/Customer Success, VP/Director Shared Services, Customer Experience manager, Contact Center Director/Supervisor, Customer support manager, Developer, IT Professional, IT Leader, Business User

Type: Service How To | Level: 200

In this session we will share with you how you can use AWS Shield to protect your applications from DDoS attacks. AWS Shield offers different tiers of services to defend against most common, frequently occurring network and transport layer DDoS attacks that target your web site or applications. We will dive-deep into the various use cases and how AWS Shield Advanced , automatically protects web applications by blocking application layer (Layer 7) DDoS events.

What you'll learn:

• How to mitigate against DDoS attacks using AWS Shield
• Understanding AWS Shield service tiers
• Deep dive on how to implement automatic application-layer DDoS mitigation with AWS Shield Advanced

Speaker(s): Jesse Lepich, Sr WW Security Specialist, AWS; Justin Kurpius, Edge Security Specialist, AWS

Who Should Attend: Infrastructure Security , Network Security Engineer,Network Security Architect, Cloud Security Architect, Director/VP of Infrastructure/Cloud/Operations/Security

Type: Solutions best practice | Level: 100

A data protection strategy is essential to making sure your company can withstand, recover, and minimize the impact of a security breach, outage, or disaster. With cloud storage services, you automatically meet the storage industry’s “3-2-1” best practice guidelines for data backup protection against data loss and, in turn, lost revenue. The 3-2-1 rule is centered around maintaining at least three copies of your data, two of which may be on premises but on different devices, while you store at least one copy off-site (in the cloud).

What you'll learn:

• Get the latest SMB data trends
• Review key data protection concepts and apply them in disaster and ransomware recovery solutions
• Learn about the benefits of using cloud storage services to protect your organization's application data and business continuity

Speaker(s): Rajesh Vijayaraghavan, Sr. Storage Specialist SMB, AWS; Marcos Perez Seoane, Sr. Storage Specialist SA, AWS

Who Should Attend: Storage admins, Backup admins, IT admins, IT Operations, Application leads

Type: Service How To | Level: 300

In this session we will show you how to build the right network security architecture to protect your Internet facing apps from the bad guys. AWS offers a wide variety of security services to provide customers the ability to build a defense-in-depth strategy for security and inspecting traffic, but it can be daunting to put all the pieces together. We will dive-deep into the various use cases and reference architectures for stitching together AWS Shield, AWS WAF, Elastic Load Balancing, AWS Network Firewall, Gateway Load Balancer, Security Groups and NACLs to protect the edge of your AWS network from advanced threats and DDOS attacks.

What you'll learn:

• How to protect your Internet facing apps with AWS security services
• Design considerations for an effective firewall deployment
• Build a defense-in-depth strategy for securing inbound traffic on AWS

Speaker(s): Tom Adamski, Principal Solution Architect, AWS; Nick Coval, Principal Networking Specialist, AWS

Who Should Attend: Network Security Architect, Cloud Security Architect, Director/VP of Infrastructure/Cloud/Operations/Security/Network Engineering

Type: Service Deep Dive | Level: 300

Amazon Relational Database Service (Amazon RDS) for PostgreSQL and for MySQL now support a new Amazon RDS Multi-AZ deployment option with one primary and two readable standby database (DB) instances across three Availability Zones (AZs). With this new option, Amazon RDS users can get up to 2x faster transaction commit latency compared to Multi-AZ with one standby, typically under 35 second fail overs, and additional read capacity. In this session, deep dive into how this new deployment option works, how it’s different from Amazon RDS Multi-AZ with one standby, and see a demo of how this option can help with applications with read-heavy workloads.

What you'll learn:

• Get an overview of Amazon RDS Multi-AZ and the new two readable standbys option
• Compare Amazon RDS Multi-AZ with one standby and Amazon RDS Multi-AZ with two readable standbys to see which is best for your use case
• Watch a demo of this new deployment option and how it helps applications with read-heavy workloads

Speaker(s): Pandit Pradad, Principal Product Manager, AWS; Vijay Karumajji, Sr. Specialist Database SA

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

Type: Service Deep Dive | Level: 200

"Nitrex is a global provider of fully integrated heat-treating solutions and technologies. The company sought to improve product and customer service to differentiate from competitors and gain market share. For that, Nitrex needed to optimize scrap rate to reduce associated costs, improve flow control and OEE. In addition, the project was complicated by the requirement to coordinate with a high number of brownfield installations and teams across multiple locations. Nitrex worked with Syntax, an AWS Partner, to map their digital transformation journey and optimize business results. The recommended solution included process and machine data analytics using industrial IoT cloud solutions running on AWS services and integrated with SAP. In this session, hear an overview of the full project’s cycle, from gathering requirements to the different stages, implementations, and management change adoptions that were needed to be successful. Attendees will gain an understanding of the Nitrex digital transformation journey, business outcomes, and next steps."

What you'll learn:

• Hear how Nitrex improved their operational efficiency
• Dive into the use case to understand Nitrex’s digital transformation journey
• Identify how solutions can be deployed to realize business value for Industrial IoT projects

Speaker(s): Dr. Dominik Schaefer, Principal Solution Architect, IoT, Analytics, and AI, Syntax; Dave Thielet, Senior IoT Strategic Partner Development Manager, AWS

Who Should Attend: Business decision makers including line of business owners and managers, operations and production leaders, Technical decision makers in Engineering, Technology, Product, Architecture, IT professionals engaged with industrial operations

Type: Service Intro | Level: 200

Organizations of all sizes want to improve visibility into their processes to increase efficiency and avoid potential issues. Computer vision (CV) can automate visual inspection for tasks such as ensuring order accuracy at quick-serve restaurants, tracking assets to optimize supply chain operations, or analyzing customer traffic to improve retail store layouts. In environments with limited network bandwidth however, or for companies with data governance rules that require on-premises processing and storage of video, computer vision in the cloud can be difficult or impossible to implement. In this Tech Talk, we will introduce you to AWS Panorama, a machine learning (ML) service that allows organizations to bring computer vision to on-premises cameras to make predictions locally with high accuracy and low latency. With AWS Panorama, you can automate tasks that have traditionally required human inspection to improve visibility into potential issues.

What you'll learn:

• Learn how you can add computer vision to your existing IP cameras, and analyze video feeds from a single management interface
• Hear how customers are working with AWS Partners to build CV applications quickly
• Discover how AWS Partners like Lenovo are building Panorama-enabled devices to provide even more form factors for your unique use cases

Speaker(s): Banu Nagasundaram, Sr. Product Manager Technical - AWS Panorama; Amit Mukherjee, Sr. Solutions Architect - AWS Panorama

Who Should Attend: Business Decision Makers, Technical Decision Makers, Developers, App Developers

Type: Solutions best practice | Level: 300

Sensitive data discovery and classification is vital to help protect your business data as well as meeting compliance and regulatory requirements of your business. Amazon Macie is a data security service that uses machine learning and pattern matching to discover sensitive data and help protect it by identifying potential concerns such as unencrypted buckets, publicly accessible buckets, and misconfigured access policies. In this session, you will learn how to efficiently design and operate a scalable sensitive data discovery solution that optimizes cost, operationalizes response actions to sensitive data findings, and remediates S3 buckets that are out of policy.

What you'll learn:

• Learn best practices to discover sensitive data in AWS
• Learn how to create workflows to help protect sensitive data in AWS
• Learn cost efficiency tips and tricks for data governance and data protection use cases

Speaker(s): Himanshu Verma, AWS Principal Security Specialist,

Who Should Attend: Cloud Security teams, Data Governance teams, Data Security teams, Data engineers, DevSecOps.

Type: Solutions best practice | Level: 300

In this Online Tech Talk hear from Nathan Fuzi, Oracle Database Solutions Architect for AWS, as he details best practices for migrating your on-prem Oracle database to Amazon RDS. In this session, you will get an overview of the business value of migrating to AWS, an introduction to AWS database migration tools, programs, and partners, as well as a deep dive into a framework for repeatable migration success.

What you'll learn:

• Attendees will gain an understanding of the various migration tools, programs, and partners AWS offers to help with an Oracle database migration.
• Attendees will gain an understanding of a proven framework to assess, mobilize, and execute a successful migration.
• Attendees will learn about AWS RDS Custom, a new RDS engine designed for applications that require operating system and database customization, ideal for custom or Oracle applications.

Speaker(s): Nathan Fuzi, Oracle Database Solutions Architect for AWS

Who Should Attend: Database administrators, Database engineers, Application owners, DevOps engineers, Cloud architects

Type: Service Deep Dive | Level: 300

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as to build, train, and deploy models. Analyzing, transforming, and preparing large amounts of data is a foundational step of any data science and ML workflow. Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. In this talk, we will demonstrate recent integrations between the services making it really simple for Data Scientists and Machine Learning Engineers to use distributed big data frameworks such as Spark in their machine learning workflow

What you'll learn:

• How to use a unified notebook-centric experience to create and manage EMR clusters, run analytics on those clusters, and train and deploy SageMaker models
• How to use a one-click interface for debugging and monitoring Amazon EMR jobs through the Spark UI.
• How data workers can discover, connect, create, and stop clusters in a multi-account setup.

Speaker(s): Damon Cortesi, Principal developer advocate, AWS; Sumedha Swamy, Principal Product Manager, AWS

Who Should Attend: TBD

Type: Service Deep Dive | Level: 200

"Industrial companies from all around the world are embracing digital transformation to leverage productivity. However the complexity of industrial environments can be very challenging. Join this episode to understand how technology can leverage financial gains and how the right architecture can reduce the total cost of ownership of these projects, avoiding the traps of custom code, and integrating IT, OT and Cloud. Learn about Pirelli’s implementation with Telit, an AWS Partner, to enable the high-volume collection of complex machine data, orchestrate time series data, and integrate data into the AWS Enterprise Data Platform. The solution enabled intra- and inter-factory services at Pirelli which improved their access to data, operational intelligence, and identify execution actions landscape."

What you'll learn:

• Hear how Pirelli improved their access to data to address OEE
• Dive into the use case to understand Pirelli’s focus on improving industrial business processes with data
• Identify how solutions can be deployed to realize business value for Industrial IoT projects

Speaker(s): Ricardo Buranello, SVP and Head of Telit IoT Platforms, Telit; Dave Thielet, Senior IoT Strategic Partner Development Manager, AWS

Who Should Attend: Business decision makers including line of business owners and managers, operations and production leaders, Technical decision makers in Engineering, Technology, Product, Architecture, IT professionals engaged with industrial operations

Type: Service How To | Level: 200

OpenZFS is a popular open-source file system that offers high performance and scale, but it can be complicated to set up, configure, manage, and tune for best performance. Amazon FSx for OpenZFS delivers all of the power of OpenZFS without the complexity. This Tech Talk will provide an overview of Amazon FSx for OpenZFS, cover some common use cases and workloads for the service and offer guidance on how to choose between Amazon FSx file systems.

What you'll learn:

• Learn how Amazon FSx for OpenZFS simplifies deployment, management, and performance tuning.
• Understand for which use cases Amazon FSx for OpenZFS is best suited.
• Recognize what common workloads Amazon FSx for OpenZFS serves that might be relevant for you.

Speaker(s): Delwin Olivan, Senior Product Marketing Manager, AWS

Who Should Attend: Cloud Architects, Storage Engineers, Storage Administrators, Storage Architects

Type: Service How To | Level: 300

Amazon SageMaker offers low-code options for each step of the ML lifecycle so you can build, train, and deploy high quality models faster. Data scientists, join us for a demo to see how data visualizations, pre-built models, and AutoML can accelerate your machine learning model delivery, so you can focus more on refining predictions and less on low level code.

What you'll learn:

• Discover how to prepare data in minutes
• Learn how to work with over 150 pre-built models
• Use AutoML to training and tune models

Speaker(s): Michael Hsieh - Sr. AI/ML Specialist SA; Kosti Vasilakakis - Principal ML GTM Specialist

Who Should Attend: Data scientist, data engineers, ML engineers