Learn how to optimize your Manufacturing and Industrial operations

The AWS Manufacturing and Industrial IoT Web Day scheduled for July 22nd has been postponed. More information on a new event date will be released in the coming weeks.

We welcome you to complete the form to receive updates on the new event date once they are available.

If you have any questions, please reach out to our Support Team at [email protected].


Join AWS experts and our APN Partners for this complimentary virtual event for the industrial audience. We’ve designed a robust program with over 40 sessions to educate and demonstrate how AWS and our partners can help securely optimize factory operations with one of the most comprehensive set of edge to cloud solutions available today.

Register Now

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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

Event Agenda

  • 8:00 AM - 9:00 AM
    This session will discuss the challenges industrial customers see today, and how the cloud can help by transforming operations from product design to smart factory and smart products. See how Amazon Web Services and specifically IoT services help leading manufacturers and industrial customers optimize their operations with the most comprehensive and advanced set of cloud solutions available today, while taking advantage of security designed for some of the most sensitive industries.

    Michel Putnik, WW Business Development Lead, Manufacturing, AWS
    Sara Cooper, GM IoT Solutions, AWS
  • 9:00 AM - 9:30 AM
    Innovate with AWS in Product Design
    Focus on your product and production design, not on the infrastructure needed to make it happen. In this session learn from Amazon Devices Hardware team (Lab126) how they use AWS to accelerate time-to-results and time-market, for award winning Amazon Devices like the Amazon Echo and FireTV. See how leaders unlock product design innovation by focusing on the needs of the engineering and design teams, while leveraging the highest level of security and optimizing R&D costs.

    Mickael Crozes, Senior DevOps with Amazon Devices, Lab126
    Walker Stemple, Industry Solution BDM - HPC, AWS
  • 9:30 AM - 10:00 AM
    Autodesk’s Generative Design Drives Innovation in Product Design
    Understand how Edera Safety worked with Autodesk to solve a complex design problem using AWS computational resources. Learn how the data is processed, why it is secure, and why it is necessary to do it in the cloud.

    Thomas Saier, General Manager, Edera Safety
    Mickey Wakefield, Fusion Evangelist, Autodesk GmbH
  • 10:00 AM - 10:30 AM
    Virtual Wind Tunnel in the Cloud with Siemens' Simcenter STAR-CCM+
    Hear how TLG Aerospace leveraged automated design exploration and optimization and learn about their success scaling-up industrial CFD simulations with Simcenter STAR-CCM+ in the AWS cloud.

    Peter Burns, Senior Aerospace Engineer, TLG Aerospace
    Carlo Locci, Global Application Specialist, Hydrogen Fuel Cells, Siemens
  • 10:45 AM - 11:15 AM
    SIMPLE: A Disruptive Tool for Innovation in Product Design
    Learn how Rubinetterie Stella developed a disruptive tool to innovate the brand and their GTM strategy with Shin Software.

    Stefano Sappa, CEO, Rubinetterie Stella
    Emanuele Zinna , Marketing, Shin Software
  • 11:15 AM - 11:45 AM
    Unleash the Potential of Digital Twin with Siemens and AWS
    Learn how closed loop digital twin technologies across the full lifecycle of design, manufacture, and service/performance can help manufacturers accelerate the benefits of digitalization. Understand highlighted examples from Siemens and AWS customers Konecranes and Renom.

    Stuart McCutcheon, Global Vice President, Siemens Digital Industries Software
    Mike Denley, Senior Director Program Management, Siemens Digital Industries Software
  • 11:45 AM - 12:15 PM
    AWS for Semiconductor Design, Verification, and Fabrication
    Semiconductor companies and electronic design automation (EDA) vendors must remain competitive by innovating and reducing time to market. In this session, learn how to achieve the maximum possible performance and throughput for design and verification workloads and enhance electronic product manufacturing through advanced analytics and machine learning.

    Tim Thornton, Director of ARM Based Engineering, Arm Limited
    David Pellerin, Head Worldwide BD – Semicon & InfoTech, AWS
  • 9:00 AM - 9:30 AM
    Production Optimization with ML and AI on AWS
    During the last decade, artificial intelligence (AI) and machine learning (ML) have been introduced into the manufacturing sector, enabling efficiency in processes, driving sustainability, increasing quality and productivity. This session provides an intro into how AI/ML enabled manufacturing can help provide fault detection and prediction, optimize use of raw materials and resources, and exploit big data analysis to optimize OEE.

    Steve Blackwell, Worldwide Technical Leader for Manufacturing, AWS
  • 9:00 AM - 9:30 AM
    Transform to Survive: Modern Manufacturing in the Cloud with Infor
    Hear practical examples of Infor & AWS customers and their digital transformation journeys. Understand which pain points companies such as one of the world’s leading manufacturers of optical equipment, a chemical equipment manufacturer, and a leading German food manufacturer faced at the start of their journeys.

    Joachim Harb, Director, Infor
  • 9:00 AM - 9:30 AM
    Efficient Process Optimization with Siemens Advanta – How to Gain Maximum Efficiency with Minimal Invest
    Learn how continuous optimization based on artificial intelligence generates significant impact in manufacturing processes: AdvFlow – Your production assets in optimal operating conditions at all times.

    Andreas Duerr, Project Manager Factory Digitalization, Siemens Smart Infrastructure
    Andreas Vogel, Director Strategy & Portfolio, Siemens Advanta
    Lars Oyntzen, Product Owner, Siemens Advanta
  • 9:00 AM - 10:00 AM
    Smart Factory and AWS
    Manufacturers are continually looking for ways to improve their factory operations – improve productivity and quality, maximize asset availability, and lower costs. In this session, see how the cloud helps ingest, store, analyze, and consume system-wide data to monitor and improve overall equipment effectiveness or OEE and optimize factory operations.

    Doug Bellin, Head of World Wide Business Development for Smart Factory, AWS
    Noah Coad, Senior IoT Customer Delivery Architect, Professional Services, AWS
  • 9:30 AM - 10:00 AM
    Wipro: Data in Automotive Manufacturing
    Learn how Data is key to the manufacturing process. And about the capabilities of the AWS platform that allow clients new and innovative ways to improve processes in every part of the value chain from factory floor all the way to the end user while driving their vehicle.

    Rakesh Ramesh, Consultant, Connected Vehicle Platform Services, Wipro
    Karl Veidis, Cloud Consulting Partner, Wipro
  • 9:30 AM - 10:00 AM
    Jumpstart Computer Vision Projects With The Apalis iMX8 Kit
    Deep Learning and artificial intelligence (AI) advancements enable manufacturers to leverage many new vision-based capabilities to control quality, manage supply and demand, classify and sort, and ground-truth validate for factory and process automation. AWS, Toradex, and NXP are collaborating to simplify the development of computer vision and machine learning solutions for IoT devices at the edge, even when the cloud connectivity is not available. This talk demonstrates the Toradex Apalis AI Vision Starter Kit with NXP i.MX 8QuadMax Application Processor. This kit allows you to quickly recognize different kinds of objects leveraging AWS SageMaker Neo and AWS IoT Greengrass. The same platform can then be quickly retrained to recognize any object, even if it is in motion.

    Alex Dopplinger, Industrial Marketing & Business Development, NXP
    Daniel Lang, Chief Marketing Officer, Toradex
    Jon Melamut, Head of AWS Edge/IoT Strategic Partnerships, AWS
  • 10:00 AM - 10:30 AM
    SAP in the Cloud for Manufacturers
    In this session, learn how to accelerate your digital transformation and increase your agility by running your SAP environment on the AWS Cloud. Learn how the AWS Cloud can help you move faster, operate more securely, and save substantial costs; all while benefitting from the scale and performance of the cloud to securely drive greater value from your SAP investments.

    JR Butler, Chief Revenue Officer, Pillir
    Matt Lobaugh, Sr Partner Development Manager, SAP
  • 10:00 AM - 10:30 AM
    Advanced Analytics and ML in Process Manufacturing with Seeq
    Learn how process engineers can quickly and easily analyze the data and use machine learning-driven calculations and visualizations to draw better, quicker conclusions.

    Megan Buntain, Director of Cloud Partnerships, Seeq
    Dustin Johnson, Chief Architect, Seeq
    Krista Novstrup, Principal Analytics Engineer, Seeq
  • 10:00 AM - 10:30 AM
    Supply Chain ReInvention
    Improving customer service levels, cycle time and inventory, requires focus on other aspects of the supply chain beyond the smart factory. All areas of Supply Chain are being reinvented by combining various sets of technologies including AI, ML, IoT, robotics, camera recognition, and other technologies. This session shares how step-change capabilities in supply chain are being created across planning, procurement, warehousing, and logistics.

    Mike Brown, Worldwide Business Development, Supply Chain, AWS
  • 10:45 AM - 11:15 AM
    Intelligent Factory Floor with TensorIoT, AWS, and Intel
    Learn how Reliance Steel & Aluminum partnered with AWS, Intel, and TensorIoT to design and develop a next generation IoT driven platform to transform the business through workflow automation, complete digitization of manual processes and Enterprise Content Management (ECM), and ML based edge computing. See how the resulting IoT Platform is an evolutionary change to digitize, automate, and drive OpEx through data driven anomaly detection at the edge and analytics increasing the productivity of labor as well as predictive and prescriptive maintenance to an analog industrial sector.

    Arsalan Darbandi, Sr. Data Scientist, Reliance Steel & Aluminum Co.
    Ravikumar Raghunathan, CEO, TensorIoT
    Uday Tennety, Head of Global Product Alliances, AI/ML and IoT / AWS
  • 10:45 AM - 11:15 AM
    GE Digital: The Benefits of Putting Manufacturing Data in the Cloud
    Learn how today’s Digital Plant uses the cloud to connect its workforce, accelerate, and sustain continuous improvement. Discover how Procter & Gamble puts manufacturing data in the Cloud to generate additional value by empowering users and running cross company analysis for increased quality, and profitability. Thanks to its collaboration with GE, P&G is able to drive greater productivity and efficiency while maintaining a high level of operational safety and reliability.

    Bernard Cubizolles, Global Product Marketing Manager, GE
  • 11:15 AM - 11:45 AM
    Bottom-Up Digitization of the Shipyard with Tulip
    Attendees will learn how Meyer Turku, a shipbuilding company, in Finland, is using Tulip’s platform, running on AWS, to build a tailored, scalable solution to digitize their operations to guide work and gain real time visibility into their production.

    Sarah Ackley, EU Customer Solutions, Tulip
    Ilari Graf, Lead Development Engineer, Modularization, Meyer Turku
  • 11:15 AM - 11:45 AM
    How Nordcloud created a cloud-connected shopfloor for SKF
    While machine data is more and more accessible through IoT solutions, process data today is rarely digitally collected. Learn how decentralized edge computing solutions offer to fulfill this promise and are thus a key component in the digital transformation of factories.

    Thomas Baus, Delivery Lead, DACH Region, Nordcloud
    Jens Greiner, Global Manager IIoT Technology and Big Data, SKF Group
  • 11:45 AM - 12:15 PM
    TC Energy: Integrating Technology from OSIsoft and AWS to Develop Cutting-Edge Solutions at Scale
    This presentation will highlight how to provide the data to modern advanced analytics as well as how to take the model results and save them for later analysis against real time environments, providing situational awareness.

    Michael Graves, Director, Strategic Alliances, OSIsoft
    Jeff Samples, Manager US Gas Innovation & Business Enablement, TC Energy
    Maria Sylte, Lead, Asset Excellence Team, TC Energy
  • 11:45 AM - 12:45 PM
    Implementing the Smart Factory: Panel Session led by Deloitte and AWS
    Ask any executive, and they will tell you that they see smart factories as a competitive advantage that helps to lower costs and drive value. Yet, nearly two out of three manufacturers report no progress on smart factory initiatives that they overwhelmingly point to as their main driver of near-term competitiveness. Panelists will discuss the benefits of implementing smart factories, the challenges, lessons learned, and how they are leveraging cloud and AWS to accelerate their Smart Factories.

    Helena Lisachuk, Director IoT Global Lead, Deloitte
    Anes Hodžić, Vice President Digital Transformation and Internet of Things (IoT), Airbus
    Gregg Doppelheuer, LM Fellow – Chief Systems Architect, Lockheed Martin
    Frank Jelich, Head of IT Strategy Production, Volkswagen
  • 9:00 AM - 9:30 AM
    Driving Industry 4.0 Success with AWS IoT
    Today, manufacturers realize 20-30% of their data. AWS and its partners are helping customers better leverage their factory data to drive business outcomes. In this session, see the latest examples from partners and customers.

    Pugal Janakiraman, Worldwide Business Development, Industrial IoT, AWS
    Prashanth Adiraju, Sr Segment Lead, Industrial IoT, AWS
    Thomas Cummins, Senior Partner Solution Architect, AWS
  • 9:00 AM - 9:30 AM
    Developing IoT Embedded Vision Systems: Mastering the Top 3 Challenges
    The evolvement of IoT and advances in embedded vision technology are enabling the emergence of intelligent applications and services. Thus, embedded vision IoT solutions create value in ways that were impossible before. Generating massive amounts of data, deploying Machine Learning modules on the edge for image processing, seamlessly interacting with the cloud – the possibilities seem to be endless.

    Erik Meusel, Teamleader Software, Basler
    Jan Metzner, Solutions Architect, Manufacturing, AWS
  • 9:30 AM - 10:00 AM
    Driving Predictive Quality with Machine Connectivity
    In this session, learn how AWS IoT services, coupled with other AWS services, help manufacturers better track output quality from their manufacturing facilities.

    Jan Metzner, Solutions Architect, Manufacturing, AWS
    Steve Blackwell, Technical Leader, Manufacturing, AWS
  • 9:30 AM - 10:00 AM
    Realizing ROI from Operational Equipment Efficiency with Advantech
    Plant managers and owners already operate processes to collect, collate and analyse factory floor data to make investment, planning and control decisions. Industrial IoT solutions must positively contribute a return on investment, preferably within the financial year. Learn how operational efficiency improvements can be made without interrupting either production or other processes.

    Tony Milne, Business Development Manager, Telco IoT, Advantech
    Pedro Mendoza, Partner Specialist Solutions Architect, IoT
  • 9:30 AM - 10:00 AM
    IoT Security at the Edge
    In this session, learn the importance of IoT edge security and how it can be accomplished with Amazon FreeRTOS and AWS IoT Greengrass with partners like Infineon who provide secure elements. You will learn about best practices, threat vectors, and importance of secure PKI.

    AWS IoT Hero Artem Yushev, Staff Application Engineer, Embedded Security Software, Infineon Technologies
    David Walters, Partner Solutions Architect, AWS
  • 10:00 AM - 10:30 AM
    How to Accelerate Embedded Linux Solutions for the AWS Cloud
    The Yocto Project and OpenEmbedded have been widely adopted for building custom Linux distributions running on edge systems. Developers demand low friction mechanisms for integrating core Cloud connectivity capabilities with edge systems. In this session, you will learn how to leverage the meta-aws Yocto Application Layer recipes for integrating your new and existing development.

    Richard Elberger, Principle Technologist, IoT, AWS
  • 10:00 AM - 10:30 AM
    Accelerate Your Factory’s Operational Value in the Post Pandemic Economy
    The pandemic is forcing industries on a path unforeseen. It’s intensifying the need for interconnected systems and remote enablement across the entire manufacturing functional chain--hyper-focused on workplace safety and value creation. Industry 4.0 programs are vital to “new normal” readiness and in tandem shape resilient plant systems of operations that integrate IT-OT, edge-cloud architectures, and AI. Transforming how the workforce collaborates remotely, as well as utilizes operational intelligence to drive 10-20% improvements in COGS. In this session, Cognizant will bring to life three manufacturers Industry 4.0 initiatives that are delivering sustainable value, while ramping up productivity to pre-pandemic levels.

    Sharath Prasad, Manufacturing IoT Practice Director, Cognizant
    Puneet Bhugra, Global IoT Partner Business Lead -GSI/SI, AWS
  • 10:00 AM - 10:30 AM
    Leading the Industrial Revolution with AI at The Edge
    Many different industries are in the midst of an AI revolution. Companies are leveraging AI in every aspect of their business, with fully autonomous ground vehicles moving goods in the factory, robots for complex and faster pick-and-place applications, co-bots emerging for human/robot collaboration, and automated optical inspection to take manufacturing to super human levels. In this session, learn how NVIDIA edge-to-cloud GPU-accelerated compute capabilities and AWS IoT are at the heart of this revolution as for inference and wide-scale deployment.

    Barrie Mullins, Director of Product Marketing, NVIDIA
    Amanda Lowe, Sr Partner Marketing Manager, IoT, AWS
  • 10:45 AM - 11:15 AM
    Driving Rapid and Continuous Value with MachineMetrics Industrial IoT Platform
    In this session, discover how US-based Avalign Technologies leveraged the MachineMetrics platform to increase their capacity by $4.5 million with no additional equipment in their first year.

    Graham Immerman, VP, Marketing, MachineMetrics
    Matthew Townsend, OEE Director, Avalign Technologies
  • 10:45 AM - 11:15 AM
    Liberate IoT Data and Digitally Transform Your Oilfield Operations
    Learn how AWS is leveraging its IoT edge and cloud services to help its Oil & Gas customers liberate untapped data and use AI/ML and analytics to fuel key insights to boost operational efficiency.

    Robert Jackson, Global IIoT Partner Program Manager, Moxa
    Sanjai Bijawat, Principal, WW IoT Business Development, AWS
  • 10:45 AM - 11:15 AM
    Driving Industrial IoT through Predictive Maintenance with Infineon and Klika Tech
    In this session, learn how effective condition monitoring and anomaly detection for heating, ventilation, air conditioning, and refrigeration (HVACR) equipment can be realized thanks to the deployment of sensors and cloud connectivity in combination with data intelligence for predictive maintenance. Explore the business cases and technical architectures for developing edge-to-cloud platforms on AWS together with Infineon XENSIV™ sensor technologies, for data collection at the equipment level, secure cloud delivery, and analysis for effective decision-making.

    Andrew Mazur, CTO, Klika Tech
    Manuel Hollfelder, Manager Emerging Applications, Infineon Technologies
    Thomas Cummins, Senior Partner Solutions Architect, AWS
  • 11:15 AM - 11:45 AM
    Calculating and Understanding the Cost of Production for an Agriculture Business
    When it comes to the traditional farmer, money flows in and out of the business in a variety of ways - from the various input and operating expenses to the crop prices that the farmer receives at sale. While a farmer is typically great at tracking all of these costs and numbers as individual items, there isn’t always a great way to aggregate all of this information to drive true analysis on areas for improvement. That’s why Perennia, a provincial development agency with the mission to help farmers, fishermen and food processors be more prosperous and profitable, worked with AWS to build a Cost of Production solution to help solve this problem for their Nova Scotia farmers. Come learn about why Perennia kicked off this project, and how AWS IoT is helping to solve the problem.

    Grant MacDonald, Executive Director of Software Development, Perennia Food and Agriculture
    Rachel Bradshaw, Sr. Business Development Manager, Global Business Development, IoT, AWS
    Tanner McRae, Sr. Solutions Architect, R&D, AWS
  • 11:15 AM - 11:45 AM
    Industrial Cloud: Digitally Transforming Automotive Manufacturing
    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.

    Nihar Patel, New Business Development, Strategic Projects, Volkswagen AG
    Jon Allen, Automotive and Industrial Manufacturing, Global Practice Manager, AWS
  • 11:15 AM - 11:45 AM
    Using LoRaWAN for IIoT Applications
    Industrial operations can benefit from the deployment of wireless IoT-connected sensors for various always-on monitoring functions. Due to the long range, low power, and long battery life of LoRa®-based devices, sensors in manufacturing plants or mobile industries can relay critical data to a LoRaWAN® network where it can be analyzed and businesses operations can be optimized. Examples include conversion of legacy wired protocols like MODBUS to LoRaWAN to adding vibration monitors to industiral equipment. Join our session to learn how LoRaWAN, the default Low-Power Wireless LAN technology, can power your IIoT Applications.

    Olivier Hersent, CEO, Actility
    Norbert Herbert, IoT Integration Expert, Actility
    Julien Bertolini, IoT Specialist, Volvo Group
    Karthik Ranjan, LoRaWAN Ecosystem Leader, AWS
  • 11:45 AM - 12:15 PM
    Connecting Industrial Machines and Driving Business Transformation
    Learn how manufacturers are using AWS IoT to connect Industrial Machines and drive business transformation across variety of use cases like machine condition monitoring, predictive maintenance, track & trace, warranty/recall, and many more.

    James Destro, Manufacturing Practice Leader, Hitachi Vantara
    Pugal Janakiraman, Worldwide Business Development, Industrial IoT, AWS
  • 11:45 AM - 12:15 PM
    ST Sensors and Solutions in Smart Industry Applications
    In this session, we explore the challenges of Industry 4.0 and learn how to build a complete sensor-to-cloud application using advanced industrial-grade sensors. Learn about diverse sensing technologies and how they can be applied to condition monitoring, and introduce you to the newest addition to our SensorTile family of form-factor sensor development kits - the SensorTile Wireless Industrial Node (STWIN).

    Ernesto Manuel Cantone, MEMS and Sensors Marketing Manager, STMicroelectronics
    Mike Rohrmoser, Segment Lead, IoT, AWS
  • 9:00 AM - 9:30 AM
    Building Smart Products and Machines for Manufacturing
    Interested in enhancing your customers experience, improving quality, and generating new revenue streams with a smart connected product or machine? Learn how IoT services, Machine Learning, Artificial Intelligence, and Big Data analysis allow you to collect, process, store, analyze, and act on machine data.

    Steve Blackwell, Worldwide Technical Leader for Manufacturing, AWS
  • 9:30 AM - 10:00 AM
    IoT Best Practices and Architecture
    Learn how to securely connect your embedded devices to the AWS IoT services, learn about the AWS IoT platform, keeping your devices secure and best practices around certificate rotation, device provisioning and working with AWS edge services such as AWS IoT Greengrass.

    Craig Williams, Worldwide Partner Solution Architect Leader, AWS
  • 10:45 AM - 11:15 AM
    AGV Perception in HD: Box Robotics is Rebuilding the AGV Perception Stack with Human-Like Spatail Awareness
    The presentation will provide a view into the process that partners ADLINK and AWS are working through with Box Robotics to assist them in creating the AGV perception stack that meets all of their application requirements.

    Joe Speed, Field CTO, ADLINK
    Tom Panzarella, Co-Founder & CEO, Box Robotics
    Camilo Buscaron, Principal Open Source Tech, AWS Robotics & Autonomous Services
  • 11:15 AM - 11:45 AM
    Taking Friction Out of IoT: How the Mining Industry is Being Transformed Through IoT
    While IoT can be a path to transforming a company or industry, it can create friction and roadblocks along the way. With the right partner, companies use IoT to reduce risk, reduce mistakes, increase speed to market, decrease costs, and enable a transformative culture. In this panel discussion, learn how AWS, Flexco, and Twisthink are eliminating friction and transforming the mining industry.

    Kurt Dykema, Director - IOT Solutions, Twisthink
    Chip Winiarski, Chief Marketing Officer, Flexco
    Ryan Grevenstuk, Director of Marketing – Mining, Flexco
    Austin Ashe, Global Head of Strategic OEM Partnerships, IoT, AWS

Session Details

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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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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.

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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.

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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.

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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.

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  • JAN 21 2020
    Sunt in Culpa

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

Four tracks of industrial content:

  • Product & Production Design

    Hear how manufacturers are accessing the design, production tools, and processes available through cloud computing to speed time to market and improve collaboration.

  • Smart Factory Optimization

    Learn how manufacturers are lowering costs, integrating data sources, and improving Overall Equipment Effectiveness (OEE) in their factories.

  • Industrial IoT

    Uncover how IoT brings together machines, cloud computing, analytics, and people to deliver value for predictive quality and maintenance analytics, asset condition monitoring, and process optimization.

  • Smart Product

    Hear how the cloud enables new revenue streams and smarter products for a better customer experience.

Why Attend?

  • Participate in 40+ sessions of manufacturing and industrial content
  • Engage with 25+ AWS APN partners
  • Chat with AWS solution architects and subject matter experts
  • Access resources and tools
  • Earn AWS cash credits

Who Should Attend?

  • Senior manufacturing leaders: VP of Operations, VP of Production, etc.
  • Line of Business (LOB) factory management (Plant Manager, Operations Manager, etc)
  • IT professionals engaged in factory operations
  • Technical Decision Makers in engineering, System Administrators, and Solution Architects

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Featured Speakers

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic 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.

Epics Games

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.