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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

Five Days of Industrial Content

Smart Product Design: Monday, October 5 (Day 1)
Hear how manufacturers are accessing the design, production tools, and processes available through cloud computing to speed time to market and improve collaboration. Learn how the cloud enables new revenue streams and smarter products for a better customer experience.

Smart Factory Optimization: Tuesday, October 6 and Wednesday, October 7 (Days 2 and 3)
Learn how manufacturers are lowering costs, integrating data sources, and improving Overall Equipment Effectiveness (OEE) in their factories.

Industrial IoT: Thursday, October 8 and Friday, October 9 (Days 4 and 5)
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.

Event Agenda

Sprint Week - Monday – Friday, October 5 – 9, 2020
  Day 1 - Smart Product Design Day 2 - Smart Factory Optimization (Day 1 of 2) Day 3 - Smart Factory Optimization (Day 2 of 2) Day 4 - Industrial IoT (Day 1 of 2)
1pm - 2pm ET

2pm - 3pm ET
3pm - 4pm ET

Session Agenda Details

  • Mon, October 5
  • Tues, October 6
  • Wed, October 7
  • Thurs, October 8
  • Fri, October 9
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Mon, October 5

Smart Product Design

Monday, October 5, 2020, 9:00 AM PT – 1:30 PM PT | 12:00 PM – 4:30 PM ET

Keynote: Optimizing Manufacturing and Industrial Operations with AWS
9:00 AM - 10:00 AM PT | 12:00 PM – 1:00 PM ET
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
Sarah Cooper, GM IoT Solutions, AWS

Innovate with AWS in Product Design
10:00 – 10:30 AM PT | 1:00 – 1:30 PM ET
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) and 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

Autodesk’s Generative Design Drives Innovation in Product Design
10:30 – 11:00 AM PT | 1:30 – 2:00 PM ET
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

Virtual Wind Tunnel in the Cloud with Siemens' Simcenter STAR-CCM+
11:00 AM – 11:30 AM PT | 2:00 PM – 2:30 PM
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

Building Smart Products and Machines for Manufacturing
11:30 AM – 12:00 PM PT | 2:30 PM – 3:00 PM ET
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

IoT Best Practices and Architecture
12:00 PM – 12:30 PM PT | 3:00 PM – 3:30 PM ET
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 SA Leader, AWS

SIMPLE: A Disruptive Tool for Innovation in Product Design
12:30 PM – 1:00 PM PT | 3:30 PM – 4:00 PM ET
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

Taking Friction Out of IoT: How the Mining Industry is Being Transformed Through IoT
1:00 PM – 1:30 PM PT | 4:00 PM – 4:30 PM ET
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

Tues, October 6

Smart Factory Optimization (Day 1 of 2)

Tuesday, October 6, 2020, 9:00 AM PT – 1:30 PM PT | 12:00 PM – 4:30 PM ET

Production Optimization with ML and AI on AWS
9:00 AM – 9:30 AM PT | 12:00 PM – 12:30 PM ET
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

Advanced Analytics and ML in Process Manufacturing with Seeq
9:30 AM – 10:00 AM PT | 12:30 PM – 1:00 PM ET
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

Efficient Process Optimization with Siemens Advanta – How to Gain Maximum Efficiency with Minimal Invest
10:00 – 10:30 AM PT | 1:00 – 1:30 PM ET
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

SAP in the Cloud for Manufacturers
10:30 – 11:00 AM PT | 1:30 – 2:00 PM ET
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 SAP Partner Development Manager, AWS

Unleash the Potential of Digital Twin with Siemens and AWS
11:00 AM – 11:30 AM PT | 2:00 PM – 2:30 PM
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

Smart Factory and AWS
11:30 AM – 12:00 PM PT | 2:30 PM – 3:00 PM ET
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

Jumpstart Computer Vision Projects with the Apalis iMX8 Kit
12:00 PM – 12:30 PM PT | 3:00 PM – 3:30 PM ET
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

Transform to Survive: Modern Manufacturing in the Cloud with Infor
12:30 PM – 1:00 PM PT | 3:30 PM – 4:00 PM ET
Hear practical examples of Infor and 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

AGV Perception in HD: Box Robotics is Rebuilding the AGV Perception Stack with Human-Like Spatial Awareness
1:00 PM – 1:30 PM PT | 4:00 PM – 4:30 PM ET
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

Wed, October 7

Smart Factory Optimization (Day 2 of 2)

Wednesday, October 7, 2020, 9:00 AM PT – 1:30 PM PT | 12:00 PM – 4:30 PM ET

Implementing the Smart Factory: Panel Session led by Deloitte and AWS
9:00 AM - 10:00 AM PT | 12:00 PM – 1:00 PM ET
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

Wipro: Data in Automotive Manufacturing
10:00 – 10:30 AM PT | 1:00 – 1:30 PM ET
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

Intelligent Factory Floor with TensorIoT, AWS, and Intel
10:30 – 11:00 AM PT | 1:30 – 2:00 PM ET
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

GE Digital: The Benefits of Putting Manufacturing Data in the Cloud
11:00 AM – 11:30 AM PT | 2:00 PM – 2:30 PM
Learn how today’s Digital Plant uses the cloud to connect its workforce, accelerate & 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 & 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

Bottom-up Digitization of the Shipyard with Tulip
11:30 AM – 12:00 PM PT | 2:30 PM – 3:00 PM ET
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

How Nordcloud Created a Cloud-Connected Shopfloor for SKF
12:00 PM – 12:30 PM PT | 3:00 PM – 3:30 PM ET
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

TC Energy: Integrating Technology from OSIsoft and AWS to Develop Cutting-Edge Solutions at Scale
12:30 PM – 1:00 PM PT | 3:30 PM – 4:00 PM ET
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

Supply Chain Reinvention
1:00 PM – 1:30 PM PT | 4:00 PM – 4:30 PM ET
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

Thurs, October 8

Industrial IoT (Day 1 of 2)

Thursday, October 8, 2020, 9:00 AM PT – 1:30 PM PT | 12:00 PM – 4:30 PM ET

Industrial Cloud: Digitally Transforming Automotive Manufacturing
9:00 AM – 9:30 AM PT | 12:00 PM – 12:30 PM ET
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

Driving Industry 4.0 Success with AWS IoT
9:30 AM – 10:00 AM PT | 12:30 PM – 1:00 PM ET
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

Driving Predictive Quality with Machine Connectivity
10:00 – 10:30 AM PT | 1:00 – 1:30 PM ET
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

Realizing ROI from Operational Equipment Efficiency with Advantech
10:30 – 11:00 AM PT | 1:30 – 2:00 PM ET
Plant managers and owners already operate processes to collect, collate and analyze 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, AWS

IoT Security at the Edge
11:00 AM – 11:30 AM PT | 2:00 PM – 2:30 PM
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

How to Accelerate Embedded Linux Solutions for the AWS Cloud
11:30 AM – 12:00 PM PT | 2:30 PM – 3:00 PM ET
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

Accelerate Your Factory’s Operational Value in the Post Pandemic Economy
12:00 PM – 12:30 PM PT | 3:00 PM – 3:30 PM ET
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

Leading the Industrial Revolution with AI at the Edge
12:30 PM – 1:00 PM PT | 3:30 PM – 4:00 PM ET
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 IoT Partner Marketing Manager, AWS

Driving Rapid and Continuous Value with MachineMetrics Industrial IoT Platform
1:00 PM – 1:30 PM PT | 4:00 PM – 4:30 PM ET
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

Fri, October 9

Industrial IoT (Day 2 of 2)

Friday, October 9, 2020, 9:00 AM PT – 12:30 PM PT | 12:00 PM – 3:30 PM ET

Liberate IoT Data and Digitally Transform your Oilfield Operations
9:00 AM – 9:30 AM PT | 12:00 PM – 12:30 PM ET
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

Driving Industrial IoT through Predictive Maintenance with Infineon and Klika Tech
9:30 AM – 10:00 AM PT | 12:30 PM – 1:00 PM ET
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

Calculating and Understanding the Cost of Production for an Agriculture Business
10:00 – 10:30 AM PT | 1:00 – 1:30 PM ET
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

Developing IoT Embedded Vision Systems: Mastering the Top 3 Challenges
10:30 – 11:00 AM PT | 1:30 – 2:00 PM ET
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

Using LoRaWAN for IIoT Applications
11:00 AM – 11:30 AM PT | 2:00 PM – 2:30 PM
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 industrial 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

Connecting Industrial Machines and Driving Business Transformation
11:30 AM – 12:00 PM PT | 2:30 PM – 3:00 PM ET
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.

Sid Verma, VP, Industry Practice – Manufacturing, Hitachi Vantara
Pugal Janakiraman, Worldwide Business Development, Industrial IoT, AWS

ST Sensors and Solutions in Smart Industry Applications
12:00 PM – 12:30 PM PT | 3:00 PM – 3:30 PM ET
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 IoT Lead, AWS

Track6 Session 1

Tab 6 content

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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.

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

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

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

About the Event

Join AWS experts and our AWS Partners for this series of free, virtual sessions 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. Join us for specific sessions of interest each day, or attend as many sessions/days you wish!

Who Should Attend

These sessions feature primarily 100-200-level content (introductory to intermediate). The intended audience for this event includes:

  • 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.