Ready to accelerate your adoption of
Industry 4.0?

Organizations across a wide range of industries are working on IoT projects that connect billions of devices and deliver value across a variety of use cases including predictive quality and maintenance analytics, asset condition monitoring, process optimization, and more.

This Smart Manufacturing educational webinar series, created in collaboration with our customers and AWS Partner Network, is intended to illustrate how AWS IoT capabilities can securely enable organizations to accelerate their adoption of Industry 4.0. These curated sessions will showcase how you can leverage the power of AWS, as well as our partner solutions, to digitize processes, transform business models, and improve performance and productivity. Expect to see the art of the possible—shared through the experiences of AWS global manufacturing customers and partners—and how these trail blazers generate business value by leveraging AWS IoT, storage, and machine learning.

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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases

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Event Agenda

45 mins Keynote
  Track 1 - Get started: Moving your data to the cloud Track 2 - Building apps with modern databases Track 3 - Get started: Building your data lake Track 4 - Analyzing and getting insights
40 mins Migrate your Oracle and SQL Server databases to Amazon RDS (200) Which database to choose: Pick the right purpose-built database for the job (200) How to go from zero to data lake in days (200) Amazon Redshift use cases and deployment patterns (400)
Migrate your on-premises Data Warehouse to Amazon Redshift (200) Building large scale data-driven apps with AWS databases (300) Picking the right analytical engine for your needs (200) Processing Big Data with Hadoop, Spark, and other frameworks in Amazon EMR (300)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
Deploying open source databases on AWS (200) Databases for building business-critical enterprise apps (300) Big data in the era of heavy privacy regulations (200) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
50 mins Customer spotlight 1: How iRobot built the Roomba to use real-time data to smartly clean your home - 45 min or Customer spotlight 2: Equinox’s Data Warehouse modernization journey - 45 min Conclusion - 5 min

Session Overview

  • Speakers: Doug Bellin (AWS), BD Lead Manufacturing at Amazon Web Services ;

    Industrial IoT (IIOT) bring machines, cloud computing, analytics, and people together to improve the performance and productivity of industrial processes. During this webinar, expect to learn how industrial companies can use AWS IoT to digitize processes, transform business models, and improve performance and productivity—while decreasing waste and environmental impact.
  • Speakers: Felix Kollmar co-founder and CEO of CloudRail and Oktay Demir Senior Manager at BearingPoint

    IoT retrofitting is a cost-effective approach to create an intelligent industrial edge—allowing organizations to extract data and insights from existing devices and machines. The use of secondary sensors allows for a minimally- to non-invasive installation sparing any impact to the production environment. A live demo will demonstrate a simple methods to retrofit several industrial sensors—showcasing how to connect any industrial sensor to AWS IoT using the CloudRail system. Thereafter, expect to learn how to turn the data from retrofitted machines into business value. Additionally, hear implementation best practices, such as connecting assets to the cloud and using artificial intelligence (AI) to improve maintenance processes, from global AWS Partner BearingPoint, with deep IIoT consulting project experience in strategy conception as well as end-to-end technical implementation.
  • Speaker: Marcel Törpe Senior Solutions Architect at AWS and Dominik Schaefer Senior Solution Architect IoT & Data Science at Syntax

    This session will showcase how organizations can leverage the power of SAP and AWS to accelerate their digital transformation: digitizing processes from machine to transactions, developing new business models, and improving performance and productivity—by integrating end-to-end data to action. AWS Partner Syntax will first demonstrate how to collect data from both the shop floor and connected devices in a scalable manner. Thereafter, expect to learn how to store, process and analyze data securely in the AWS cloud, to extract actionable business insights from which you can act on intelligently. Finally, the session will describe the integration flows for SAP MES, SAP Digital Manufacturing Cloud, and SAP ERP systems for a best of breed setup.
  • Speaker: Lukas Birn, IT Transformation Director, Capgemini; and Markus Großmann, Solution Architect Director, XL2

    Today mass customization of products is driving an increasing demand for flexible production systems. Adaptable assets, like machining centers, are designed to adapt to specific order configurations—but the IT systems providing these configurations are often lacking flexibility. In this session, we’ll examine about architectural best practices and the benefits of the cloud-based approach that allows self-optimizing systems, such as how to create an AWS-based system that dynamically provides configuration data to a setting and test bench for an automotive OEM. Additionally, and through the lens of customer successes, you’ll learn how legacy IT applications, cloud solutions, and OT systems can successfully be integrated to fulfill the ever-increasing demand for flexibility.
  • Speaker: Nihar Patel, New Business Development, Strategic Projects, Volkswagen AG; and Jon Allen, Automotive and Industrial Manufacturing, Global Practice Manager, AWS

    The data-rich manufacturing environment is ripe for digital transformation to address emerging challenges with traditional production processes and technology. Cost pressure, customer demands, complex product designs, shortened development timelines, and the need to reduce emissions are all opportunities to bring new digital solutions to manufacturing, purchasing and logistics processes. In this session, learn how the Industrial Cloud is providing a trusted platform, marketplace and community where industrial partners can share such solutions.
  • Speaker: Dorothea Langer, Manager, Enterprise Performance Technology Strategy & Transformation, Deloitte

    The benefits of digital production platforms—such as the ability to respond to rapidly changing mandates and customer expectations, build an agile workforce as well as re-usable assets, and improve visibility and easier rollouts—prompt organizations to invest heavily in their development… but the experience of integrating novel technology with existing legacy application landscapes can be challenging. This session will focus on putting Digital Production Platforms to work in the heterogeneous and complex reality of the brownfield shop floor environment—with the central premise that democratic collaboration is the key for a vibrant platform. Expect to discover not only technical aspects, but the entire ecosystem of the platform—with emphasis on incremental business value for users, as well as decentralized solution-building in order to entice contributions from people from varying functions, business units, and plants.
  • Speaker: Yakove Dayan, Director Software Engineering, Siemens Digital Industries Software; and Yonit Doanis, Intosite Product Manager, Siemens Digital Industries Software

    In today’s world, industrial leaders are adopting the manufacturing digital twin—a complete digital model of the organization’s factory(s) alongside their related planning and operational processes. Such technology meshes information derived from engineering and execution systems as well as IoT, and will equip the enterprise with the tools to dramatically improve and optimize its entire manufacturing cycle.

    Siemens PLM provides a suite of tools, technology, and consultation to help manufacturing organizations navigate the journey to implement digital twin for their production sites. In this session, expect to learn how to accelerate your adoption of the manufacturing digital twin with Intosite, a Cloud-based product that enables users to capture a visual model of their global factories and connect that visual model to a variety of PLM systems (like Teamcenter, Mindsphere, etc.). Additionally, discover best practices to ensure your organization derives value each step of the way along the transition from brownfield to digitally transformed.

Session Details

  • Track1 Session 1
  • Track2 Session 1
  • Track3 Session 1
  • Track4 Session 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Track1 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track2 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track3 Session 1

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Track4 Session 1

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Track5 Session 1

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Track6 Session 1

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Track7 Session 1

Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Multiple City Registration

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Learning Objectives:

  • Introduction to AWS RoboMaker Simulations
  • Learn to run large-scale simulations using AWS RoboMaker
  • Learn how robotics companies are using RoboMaker to test code before deployment
  • Learn how to build ROS application CI/CD pipelines with simulation on AWS

To learn more about the services featured in this talk, please visit: https://aws.amazon.com/robomaker/

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

Learning Objectives

  • Learn how AWS helps make manufacturing smarter
  • Learn how to model your asset, processes and facilities to quickly compute common industrial performance metrics
  • Create fully managed web applicaions to help analyze industrial data

Who Should Attend?

  • Factory managers, production planning, production engineer 
  • Automation engineer, quality engineer (SPC), technology/developer
  • IT professional, maintenance center of excellence and industrial O&E

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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est. laborum.

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Featured Speakers

  • Doug Bellin (AWS), BD Lead Manufacturing at Amazon Web Services

  • Felix Kollmar co-founder and CEO CloudRail

  • Oktay Demir Senior Manager at BearingPoint

  • Marcel Törpe Senior Solutions Architect at AWS

  • Dominik Schaefer Senior Solution Architect IoT Data Science at Syntax

  • Lukas Birn, IT Transformation Director, Capgemini


  • Markus Grossmann, Solution Architect Director, XL2

  • Nihar Patel, New Business Development, Strategic Projects, Volkswagen AG

  • Jon Allen, Automotive and Industrial Manufacturing, Global Practice Manager, AWS

  • Dorothea Langer, Manager, Enterprise Performance Technology Strategy & Transformation, Deloitte

  • Yakove Dayan, Director Software Engineering, Siemens Digital Industries Software

  • Yonit Doanis, Intosite Product Manager, Siemens Digital Industries Software

Customer Highlights

Epic Logo Image
Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. How do I get the certificate of attendance?
Q: Where is this event?

A: This event is an online event, hosted by AWS on the INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.