AWS for Industrial Web Day content on-demand

Join us at this free virtual on-demand event. Check out more than 50 sessions showcasing how AWS and AWS Partners can help securely optimize industrial operations with one of the most comprehensive set of edge-to-cloud solutions available today. Hear directly from companies in manufacturing, automotive, energy, utilities, mining, engineering & construction, and transportation & logistics to learn how they are transforming their business operations with the cloud.

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Personalized health. AWS is how.

The era of personalization is here. From the integration of genomics data into pharma R&D to create personalized diagnostics tools and therapies to the delivery of healthcare anywhere, anytime, to those who need it most, AWS is powering the personalization revolution.

Join us for our third annual free event focusing on how healthcare & life science organizations are using cloud technology to power precision medicine, personalize patient journeys, engage more closely with customers, and ultimately improve outcomes. Hear from industry leaders on how they innovate on AWS to power their business and advance their initiatives, across segments such as genomics, biopharma, medical devices, health IT, healthcare providers, and payors.


Thursday, May 27, 2021

Keynote live at 8:00 AM PST | 11:00 AM EST

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Agenda

Get inspired and learn how industrial companies in manufacturing, automotive, energy, utilities, mining, engineering & construction, and transportation & logistics are transforming their business operations with the cloud. Dive deep into any of the 50+ business and technical sessions led by AWS experts, AWS Partners, and our customers as they share how to securely optimize industrial operations and get answer to your questions live.


Click here to download agenda at a glance »

Select a Track for More Details

  • Engineering & Design
  • Smart Products & Machines
  • Production & Asset Optimization
  • Supply Chain Management
  • Quality Management and Worker Safety & Productivity
  • Production & Asset Optimization #2
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Engineering & Design

About the Engineering & Design track:

Learn how industrial companies are transforming their computer aided engineering efforts with the most comprehensive set of AWS Partner and AWS cloud solutions available today, while leveraging the highest level of security to protect intellectual property. Focus on your best design efforts, not on the infrastructure needed to make it happen.


Enabling engineering digital thread on AWS
This session will cover the migration of PTC Windchill PLM on AWS including plans to rollout Creo CAD and CAE applications in the same environment. This is enabling the complete digital thread of engineering on one cloud to reduce time to market, improve business agility and lower TCO of operations.

Abhijit Chattopadhyay, Senior Sales Director, Engineering Services, Infosys
Fayaz Mohammed, Associate Director, Engineering Systems, Carrier
Manish Yashvant, Senior Partner Development Manager, AWS


How Benchmark Space Systems accelerates in-space mobility innovation with simulations powered by Rescale and AWS
Benchmark Space Systems, a leader of in-space mobility services, develops highly-efficient propulsion technologies to minimize the cost of repositioning satellites in orbit. In this session you’ll learn how Rescale enables Benchmark Space Systems with their full-stack, software-to-hardware high-performance computing platform to provide a cloud computing infrastructure with near-unlimited scaling on AWS.

Dylan Collie, Account Executive, Rescale
Christopher Carella, Executive VP of Business Development & Strategy, Benchmark Space Systems
Dnyanesh Digraskar, Senior HPC Partner Solutions Architect, AWS


How to simplify your network with AWS Transit Gateway

In this session, you will learn how to reduce the management and complexity of networks with the use of AWS Transit Gateway at scale and automation tools.

 

Philippe Vidal, Practice Leader, Skale-5

Nicolas Lafargue, DevOps Tech Lead, Terega

Alain Lafanechere, Account Executive, AWS



Cloud engineering simulation - A game changer for engineers

For a generation, engineers have been captive to desktop simulation tools. Now, with Cloud HPC, engineers can leverage cloud supercomputers to run massive simulation studies in parallel anywhere at any time on any computers. Learn how Philips Ultrasound is using OnScale Cloud, powered by AWS HPC, to cut risk, cost, and time-to-market of next-generation medical devices.

 

Ian Campbell, CEO, OnScale

Jian Jiao, Acoustic Engineer, Philips Ultrasound

Satish Gandhi, Global Alliance Manager, High Performance Computing, AWS

 

 

Race to market with courage, innovation           

SRAM is an American bicycle parts manufacturer known for its innovative approach to redesigning and engineering in the industry. Working with Autodesk, powered by AWS, SRAM developed a revolutionary new design for bicycle crankarms which increases performance, improves safety and reduces overall cost. Learn how SRAM transformed their design and prototype in record time, while also exploring multiple materials and manufacturing methods for moving to production.

 

Sean Manzanares, Senior Manager, Industry Strategy, Autodesk

Dhiraj Madura, Global Director of Industrial Design, SRAM

Thomas Jones, Senior Manager, Partner Solutions Architecture, AWS

 

 

Accelerate semiconductor innovation with cloud-based design

Semiconductor companies and electronic design automation (EDA) vendors remain competitive by innovating quickly and reducing time to market. In this session, learn how to achieve the maximum possible performance and throughput for design and verification workloads-while enhancing electronic product manufacturing through advanced analytics and machine learning.

 

Mark Duffield, Worldwide Tech Leader, Semiconductors, AWS

Matt Morris, Principal Solution Architect, Semiconductors, AWS

  

 

Designing and testing autonomous solutions at the speed of cloud      

Learn how Zoox accelerated innovation and solved complex design challenges faster using AWS computational resources with Slurm workload management. This session will share how they used automated policies and the latest autoscaling resources to speed up simulation, testing and design results to deliver a whole new form of autonomous personal mobility to market faster.

 

Conrad Herrmann, Software Engineer, Zoox

Nick Ihli, Director, Cloud & Sales Engineering, SchedMD

Nihit Pokhrel, Partner Solution Architect, AWS    



4 habits of highly disruptive engineers and designers

In this session we will learn from AWS customers who adopt modern application development practices on AWS to get to market faster, increase their rate of innovation, and build more reliable products at reduced costs. Focus your engineering efforts on the best design, not on the infrastructure needed to make it happen.

 

Rishi Kaki, Product life-Cycle Management IT Leader, Rivian         

Walker Stemple, R&D Industry Solution Lead, AWS

Smart Products & Machines

About the Smart Products & Machines track:

Hear from AWS experts, AWS Partners and customers and learn how you can launch smart products and machines using IoT, machine learning and AI, and robotics to generate new revenue streams, offer new services, and enhance the customer experience.

 

Intelligent network valves release new services into the air

In this session, learn how to differentiate a commodity product through lean innovation cycles. Understand how INETIQ became a hospital gas cylinder tracking system that increased value for end customers.

 

Brewster Barclay, Director of Business Development, Zühlke

Mandip Thind, Senior Product Innovation Manager, Healthcare Innovation, The Linde Group

Brintha Koether, EMEA IoT Partner Segment Lead, AWS

 

 

Interactive asset mapping in your CMMS: The benefits of spatial intelligence             

Spatial Intelligence is the human ability to visualize with the mind’s eye. Reality capture technology allows us to add a digital version of the mind’s eye to your maintenance process and asset management tools. Imagine a world where you can find each asset at your fingertips, ensuring all your decisions, as well as your system analytics, are based on accurate documentation. Learn how NavVis and eMaint have created a digital hub for maintenance operations capable of synchronising condition monitoring data sources, asset management information, 360-degree digital imagery, and geolocation and maintenance work orders, all in one flow.

 

Melanie Schoebel, Strategic Partner Executive, NavVis

Bill Green, Vice President Customer Success, Fluke Corporation   

Douglas Bellin, Global Lead of Business Development for Smart Factories and Industry 4.0, AWS

 

 

Smart-connected devices are transforming age-old industry practices   

Learn how Pro Refrigeration is helping breweries, wineries, and dairy farms manage temperatures of environmentally-sensitive items. Understand why Pro Refrigeration is utilizing the ThingLogix Foundry platform, a modern serverless solution running on AWS, to give customers insights on the devices using advanced analytics, remote monitoring, and management. Pro Refrigeration’s offering for dairy farmers allows verification of the paper chart recordings, alerts and alarms, quality control, and convenience through a web portal anywhere at any time. ThingLogix Foundry is also allowing Pro Refrigeration to quickly and easily explore other monitoring points along the cold chain bringing additional value to their customers.

 

Jason Burch, VP Partnerships and Growth, ThingLogix

Jon Riesenweber, General Manager, Pro Refrigeration

Prabha Ganapathy, Global Senior Strategic Alliance Leader AIoT, AWS Moderator

 

 

Organizational agility driven by cloud transformation  

Industrial companies are seeking agility across the product value chain – from product design to manufacturing to supply chain. Technology led by Cloud provides the foundation for this agility. It helps organizations build and supply products faster, collaborate in a better and efficient manner and above all drive superior employee and customer experience.

 

Joseph Rosing, Worldwide Business Development Lead, Discrete Manufacturing Solutions, AWS Moderator

Ankur Pawa, General Manager, Manufacturing, Wipro

Richard Smith, Chief Information Officer, Corporate Board Director, Wabtec Corporation

 

 

Transforming product service and diagnostics with Instrument Health Program            

In this session you will learn about how Thermo Fisher leveraged PTC ThingWorx and AWS IoT services to develop a Smart Instrument Health solution for their connected medical devices in the field. With the help of Cognizant as the implementation partner, they are able to ingest machine telemetry data from tens of thousands of devices into the AWS cloud for product insights, remote service and diagnostics using PTC ThingWorx and AWS IoT services.

 

Chetan Rangaiah, Director, IoT and ER&D, Cognizant

Stephen Carlson, Senior Director, Digital Innovation, Thermo Fisher Scientific

Manish Yashvant, Senior Partner Development Manager, AWS

Production & Asset Optimization

About the Production & Asset Optimization track:

Hear how digital transformation enables industrial customers to maximize productivity and asset availability, and lower costs. AWS experts, AWS Partners and customers share how they are liberating data from their legacy OT systems and leveraging new tools in the cloud like machine learning (ML), artificial intelligence (AI), and IoT to optimize operations.

 

Advanced industrial analytics with Seeq on AWS           

In the realm of chemical manufacturing, Covestro is leading the charge to Industry 4.0. Using Seeq’s advanced analytics on AWS, they are tackling the complexity of Big Data and working to make their solutions sustainable. This session will showcase how Covestro drove optimizations to their operational processes by implementing digitization efforts and data technology. Learn how Covestro was able to rapidly find root causes for process anomalies, monitor process and asset performance, and predict future performance, while enabling engineers to quickly build models of production processes with advanced visualization and data cleansing features.

 

Allison Buenemann, Industry Principal – Chemicals, Seeq

Bram Bamps, Data Analytics Expert, Covestro

Manish Yashvant, Senior Partner Development Manager, AWS

 

 

Optimize your material flow in real time with AdvFlow 

Learn how Siemens Advanta can support customers to address advanced scheduling and planning issues in production and logistics by using AI and ML procedures.

 

Lars Oyntzen, Product Owner, Siemens Advanta           

Andreas Duerr, Leader, Digitalization Network, Siemens

Frank Kovacs, Global Partner Development Manager, AWS

 

  

Automate away human errors with augmentation for safer, more productive operations        

For decades, manufacturers have tried to automate away humans as a way to promote safety and productivity, ignoring the scenarios where human provided agility and flexibility are advantageous. Rather than automating away humans entirely, some are adopting a more effective strategy that involves automating away human errors through augmentation. Manufacturing leaders are shifting their focus to augmenting their workforce with technology as the next digital lever that will drive gains in productivity, quality and throughput.  Join thought leaders from Terex Corporation and Tulip as they discuss how the democratized process of building solutions puts the augmented industrial worker at the center of digital transformation.

 

Sanjay Rajan, Ecosystems/Industry Lead, Tulip

Audra Kirkland, Director, Digital Manufacturing, Terex

Joseph Rosing, Worldwide Business Development Lead, Discrete Manufacturing Solutions, AWS

 

 

Optimize industrial processes with machine learning and AI     

Industrial companies create massive amounts of data that can be harnessed to optimize operations through artificial intelligence (AI). AI has the potential to drive efficiency and scale for industries via process, throughput, and quality improvements, among other benefits. In this session, learn how AWS customers are leveraging purpose-built industrial AI services to accelerate the data-to-decision lifecycle. We discuss use cases of AI and machine learning in the industrial sector, how AWS customers such as GE and Fender are applying the technology, and how to get started rapidly with AI services from AWS.

 

Zoe Hillenmeyer, Head of Business Development, Applied AI, AWS            

 

 

Accelerating actionable data to optimize production with MachineMetrics on AWS

Learn how Morgan Olson, a leading fabricator of aluminum delivery trucks, was able to automatically collect and analyze production data, achieve a complete view of capacity, and boost machine utilization by 20 percent deploying MachineMetrics Industrial IoT Platform, powered by AWS. The ability to quickly visualize and analyze machine health and production data across their factory floor accelerated critical, actionable bottleneck analysis that led to dramatic increases in machine utilization and OEE.

 

Graham Immerman, VP Marketing, MachineMetrics

Denis Mursoi, Continuous Improvement Manager, Morgan Olson             

Joseph Rosing, Worldwide Business Development Lead, Discrete Manufacturing Solutions, AWS

 

 

Streamlining production with an AWS-based MES system          

Traditional on-premises manufacturing execution systems (MES) are monolithic, inflexible, and expensive to maintain and evolve over time. Learn how AWS partner 42Q is enabling manufacturers to access the agility, flexibility, and low cost of the cloud with its cloud-native MES system running on AWS.

 

Wellington Giolo, Head of Sales & Strategic Alliances, 42Q

Venkat Venkataraman, CTO & Executive Vice President of Engineering, Bloom Energy

Joseph Rosing, Worldwide Business Development Lead, Discrete Manufacturing Solutions, AWS

 

 

Connect your industrial machines and uncover insights fast     

As industrial customers connect their factories to the cloud, they are looking for visibility into operational data from their machines that will quickly unlock insights and help them optimize operations, improve productivity, and increase asset availability. Companies can struggle with the complexity of industrial environments, which commonly contain disparate systems and equipment, and utilize many industrial communication protocols. In this session, learn how AWS IoT services can be used to easily connect to an industrial machine and then quickly generate alarms and insights to assess equipment behavior or identify equipment performance issues.

 

Paul Shiner, Senior IoT Solutions Architect, AWS

Silvia Prieto, Senior IoT Sales Specialist, AWS

 

 

Addressing the global water crisis with dynamic digital twins  

By 2025 more than two-thirds of the world's population will reside in water-stressed areas. At the same time, nearly nine trillion gallons of water are lost each year worldwide due to prolonged leaks and pipe breaks. Facing the combined challenges of growing populations, climate change, aging infrastructure, and regulatory pressures - water utilities are turning to digital innovation to improve the efficiency of their operations. In this session, learn how Innovyze leveraged AWS services to help water utilities gain operational efficiencies with digital twins.

 

Rick Gruenhagen, CTO, Innovyze

Bryan O'Flaherty Wills, Worldwide IoT GTM Specialist, AWS

Patrick Keaney, Head of Worldwide Business Development - Water, AWS

Supply Chain Management

About the Supply Chain Management track:

Today’s supply chains are complex global networks of manufacturers, suppliers, logistics, and eCommerce/DTC (direct-to-consumer) etailers that work together to deliver products to the consumers. Learn how the AWS cloud and AWS Partners are helping industrial companies reinvent their supply chains to automate processes, gain visibility, and reduce risk.

 

Connect breweries without stopping the tap     

Learn how Heineken is creating a competitive advantage by driving more production from the same factory with their digital transformation efforts on the shop floor.

 

Jos Mulder, Client Director Sales, Smart Manufacturing, Schuberg Philis

Wiggert Deelen, Senior Director, Global Supply Chain Transformation, Heineken             

Brintha Koether, EMEA IoT Partner Segment Lead, AWS

 

 

Supply chain visibility with computer vision

Ports are dynamic environments. They facilitate the interchange of goods and information through a complex web of stakeholders including customers and border services agencies, terminal operators, shipping lines, and logistics providers, as well as importers and exporters. Delays in the import process compound throughout this complex value chain. Learn how the Port of Vancouver, the 4th largest and most diversified port in North America processing over 145 million tonnes of cargo annually, has partnered with Deloitte to apply advanced technologies, like computer vision leveraging AWS Panorama, to optimize ground operations and provide up-to-date details to supply chain participants.

 

Don MacPherson, Partner, Deloitte

Greg Rogge, Director, Land Operations and Security, Port of Vancouver

Jason Steblay, Senior Partner Development Specialist - AWS Panorama, AWS

 

 

Scaling to Millions: Making an impact with IoT

Learn how Circle Gas, a company focusing on a smart metering service to provide propane gas sold incrementally to small business owners and individuals in the developing world, is scaling from tens of thousands to many millions of smart meters over the next couple of years. Understand how Trek10 and Circle Gas are using microservices, serverless, and AWS IoT services to seamlessly and cost effectively scale the solution, allowing each bit of gas usage to be mapped to a lambda execution cost.

 

Carlos Lemus, Director, IoT Practice, Trek10

John Gillespie, CTO, Circle Gas

Dimitrios Spiliopoulos, Senior IoT Go-To-Market Specialist, EMEA, AWS

 

 

From a machine manufacturing expert to a digital service provider within 6 months

In this session learn how Schenck Process, the global technology and marked leader in material-handling and control, is building a serverless IoT platform together with the AWS Premier Partner Storm Reply. We will show how AWS technologies enabled the creation of a serverless and modular IoT platform that today acts as the backbone for rapid and constant feature updates following the real-life challenges of Schenck's customers and processes. As an example, we will showcase how the IoT platform will bring Schenck's existing expert knowledge to their customers to help them spot anomalies significantly earlier, providing valuable operational reaction time.

 

Michael Göbel, Manager, Sales & Business Development, Storm Reply

Benedikt Hering, Head of iQ Systems and Services, Schenck Process

Brintha Koether, EMEA IoT Partner Segment Lead, AWS

 

 

End-to-end integrated solutions at the customers’ edge

Learn how Rehrig Pacific Company, a leading provider of returnable transport packaging, supply chain solutions, and environmental services, is accurately solving product tracking with TensorIoT and AWS. With Fortune 50 customers including Amazon, Rehrig’s VOR solution leverages AWS Machine Learning, IoT, and data technology to enable faster and more accurate auditing of SKUs on pallets throughout the entire supply chain, saving millions of dollars in overhead and order mismatch remediation.

 

Ravikumar Raghunathan, CEO, TensorIoT

Robert Martin, Vice President of Technology, Rehrig Pacific Company      

Amanda Lowe, IoT Partner Acceleration Lead, AWS

 

 

How AWS Analytics helps manufacturing companies like Georgia-Pacific optimize processes and increase profits

Prior to working with AWS, Georgia-Pacific relied on disparate sources to collect and analyze data, and only a small team of site-specific experts held the knowledge about each site’s unique machinery and processes. Learn from AWS Solutions Architect, Christopher Spruell, how Georgia-Pacific created a new analytics solution on AWS, transferring about 50 TB of production data from hundreds of large, complex manufacturing and converting-process machines to the cloud. Dive into Georgia-Pacific’s analytics architecture, including their use of Amazon Redshift, Amazon EMR, and Amazon Athena, to see how they used AWS to increase profits by optimizing critical processes, maximizing plant resources, and producing high-quality products at the fastest possible rates.

 

Christopher Spruell, Solutions Architect, AWS

 

 

Foxconn improves forecast accuracy by 8% with Amazon Forecast 

Many manufacturers have been forced to rely on unreliable, simplistic forecasting methods that lead to problems like stock-outs, excess inventory, and other demand / supply imbalances. The events of 2020 have amplified challenges like demand volatility, and supply chain disruptions. Manufacturers are looking for AI/ML powered solutions to solve these challenges, but often struggle to implement practical solutions. By leveraging the power of AWS and Amazon Forecast, see how manufacturers are driving impressive results in just weeks. Learn how AWS customers like Foxconn build on these capabilities with a goal of building adaptive supply chains and transforming sales and operations planning.

 

Vijay Wunnava, Head of WWBD for Hi-Tech & Electronics, AWS

Shreyas Subramanian, Principal Machine Learning Specialist, AWS           

 

 

Optimizing industrial SAP workloads in the cloud

More and more industrial companies are reaching out to AWS and our partners to modernize their manufacturing and industrial environments to get more from their SAP investments. Check out this session to learn how.

 

Bjorn Bartheidel, VP Intelligent Industry Services, Syntax

Matthew Lobaugh, SAP Beyond Team, AWS

Ganesh Suryanarayanan, SAP Beyond Team, AWS


Quality Management and Worker Safety & Productivity

About the Quality Management and Worker Safety & Productivity track:

To satisfy customers and manage costs industrial organizations must increasingly focus on quality. In addition, Industrial companies need to empower their teams with the technology needed to keep the organization healthy, safe, and productive. Hear from AWS experts, AWS Partners and customers and discover new ways to improve quality, and keep employees safe and productive.


Keeping essential goods flowing in the pandemic and beyond with IoT

In this session, learn how IoT underpins automated workplace safety management across 19 sites with real time management for business continuity in essential pharmaceutical goods supply.

 

Alexander Hüttenbrink, Co-Founder and CEO, Kinexon

Thomas Wesley, Senior Director, Workplace Solutions, Waters   

Brintha Koether, EMEA IoT Partner Segment Lead, AWS

 

 

Frontline workforce digitization and the impact on quality excellence

In this session, gain an understanding of the impact when front-line workers are empowered through a digital dynamic operating procedures platform that connects them to management. Problem detection and resolution are supercharged, elevating quality to levels of excellence.

 

Oliver Theiss, CRO, Andonix

Alfonso Felix, Director of Business Excellence, BorgWarner Inc.    

Amanda Lowe, IoT Partner Acceleration Lead, AWS

 

 

Solving workplace safety management challenges using IoT beacons and the AWS Cloud       

This presentation will explore how enterprises are navigating the complexity of enterprise worker safety systems for gathering, storing, and safeguarding location and movement data of potentially thousands of people. See how Klika Tech and EM Microelectronic overcame the challenges and co-developed a turnkey platform for rapid analysis of person-to-person, proximity-based contact data to limit and track exposure to threats. Presenters will discuss the architecture of hardware, software, and cloud services and how they were integrated to pull high-power performance from tiny, low-power beacons.

 

Manolo Morales, Head of Business Development, Americas, Klika Tech

Matthew Donham, Modules Program Manager, EM Microelectronic

Amanda Lowe, IoT Partner Acceleration Lead, AWS

 

 

Using ML to predict contamination in groundwater and surface waters

Learn how Amphos 21 created an early warning system able to predict the presence of pollutants in water, detecting contamination before the water reached the Barcelona wastewater treatment plant. The solution, named Aqua Learning, was created with the help of QRI’s cloud-based Machine Learning technology, SpeedWise® ML, to predict contamination in groundwater and surface waters. 

 

Hamed Darabi, CTO, QRI

Jorge Molinero, Deputy Managing Director, Amphos 21 

Davinder Harcharan Singh, Global Alliance Manager, AWS

  

  

Streamlining development of edge AI applications

Learn how traditional machine vision inspection systems are expanding their capability by leveraging edge computing and cloud management. A new machine vision solution by Basler bridges the gap between cloud and edge, allowing manufacturers to seamlessly deploy AI-based applications at the edge for use cases such as quality inspection, site safety, and supply chain efficiency. Machine vision users will be able to leverage Basler’s edge-to-cloud architecture, powered by AWS Panorama and NVIDIA Jetson, to simplify how machine learning models are built, trained, and deployed giving customers access to more applications to solve existing and new use cases, simultaneously.

 

Barrie Mullins, Director of Technical Product Marketing for Jetson and Embedded, NVIDIA

Selena Schwarm, Strategic Partner Manager, Basler AG

Austin Ashe, Head of Strategic OEM Partnerships, AIoT, AWS

 

 

Improve your industrial operations with computer vision

Computer vision (CV) can be a powerful tool to automate tasks that have traditionally required human inspection, such as evaluating manufacturing quality, identifying bottlenecks in industrial processes, and monitoring workplace safety and security. In this session, learn how AWS customers are improving their industrial operations with computer vision, and how you can get started quickly with AI services from AWS.

 

Will Collins, Worldwide Head of Business Development, AWS Panorama   

 

 

Improve semiconductor cycle times, yields, and quality with Smart Fab 

Smart Fab is all about optimizing product and yield output, while aiming to produce higher quality semiconductor devices. Learn how AWS can bridge your supply chain-making it possible to meet the business demands of reducing cycle time, lowering costs, and improving yield while boosting creativity and innovation.

 

David Pellerin, Head of Worldwide Business Development, Semiconductors, AWS

Mark Duffield, Worldwide Tech Leader, Semiconductors, AWS

 

 

How Carrier launched Abound, a healthy building platform, on AWS               

Abound is designed to give people confidence in the health and safety of their indoor environments. The first-of-its-kind open technology platform aggregates data from a variety of integrated building systems and sensors – regardless of manufacturer - and provides building owners and occupants a highly visible understanding of air quality and thermal comfort in a building.

 

Tim Johnson IV, Head of Alliances and Digital Ecosystems, Carrier

Jordan Con, Product Marketing Manager IoT, AWS 

Production & Asset Optimization #2

About the Production & Asset Optimization #2 track:

Hear how digital transformation enables industrial customers to maximize productivity and asset availability, and lower costs. AWS experts, AWS Partners and customers share how they are liberating data from their legacy OT systems and leveraging new tools in the cloud like machine learning (ML), artificial intelligence (AI), and IoT to optimize operations.

 

How to securely manage your industrial digital transformation             

Smart factory technologies like IoT, machine learning, and data lakes are rapidly evolving and allowing industrial companies to deliver solutions that drive business outcomes. However, these technologies need to be deployed in a manner that addresses the cybersecurity risks over the life cycle of the solution. In this session, learn about the unique challenges in operational technology (OT) security and discover the top 10 security best practices using the AWS multi-layered security approach to mitigate risk, proactively reduce vulnerabilities, and provide greater visibility.

 

Torsten Volkmar, DPP Technical Plant Onboarding Manager, Volkswagen Group  

Ryan Dsouza, Senior IoT Solutions Architect, AWS

 

 

Discover underperforming industrial assets with AWS IoT and machine learning

In this session, learn how AWS automates the process for training machine learning (ML) models and applies inferences to identify and alert operations teams about equipment performance issues. Using a customer case study, discover the challenges of applying wind turbine telemetry towards the training of an asset ML model and how Amazon Lookout for Equipment expedites that process. Get a deep dive on the solution architecture for ingesting asset telemetry through AWS IoT SiteWise and see a demonstration of how to integrate ML with complex event detection on AWS.

 

Ryan Burke, IoT Tech Leader, AWS

Dastan Aitzhanov, AI Solutions Architect, AWS

Julia Hu, Data Scientist, AWS     

 

 

Improve Industrial equipment uptime with predictive maintenance

Predictive maintenance is an effective way to avoid industrial machinery failures and expensive downtime by proactively monitoring the condition of your equipment so you can be alerted to any anomalies before equipment failures occur. However, this technology has historically been difficult to implement. In this session, learn how industrial customers can enable predictive maintenance and avoid downtime with AI services from AWS, with no machine learning experience required.

 

Brant Swidler, Sr. Technical Product Manager, Amazon Lookout for Equipment             

 

 

Driving operational improvements in mining and minerals using data, analytics and machine learning

Mining and minerals companies generate vast quantities of operational and condition monitoring data from heavy mobile equipment and fixed plant facilities. Learn how miners collect data and process into insights, to help improve data-driven decision making. Using advanced analytics and machine learning, miners can drive operational improvement in productivity and availability, and increase throughput and recovery of the commodity across the mining value chain. In this session we will explore how customers are improving efficiency across exploration, planning, mining and mineral processing.

 

Glenn Kerkhoff, Global Head, Mining and Minerals, AWS

 

 

Serverless real time monitoring of wells at Laredo      

Laredo Petroleum Inc. (Laredo) saved $100,000 by going serverless on AWS and reduce operating expenses nearly $60,000 per month. The independent energy company formerly operated on-premises, but costs were high and data was fragmented and difficult to query. So the company built a serverless data lake on AWS Lake Formation. The resulting centralization of data enabled real-time decision-making through Amazon Athena and Amazon SageMaker. Now Laredo can proactively monitor and prevent well leaks, reduce flare permit violations, and pursue new revenue opportunities.

 

Brandon Brown, Vice President and Chief Internet Officer, Laredo Petroleum

Mark Gabbert, Energy Sales Account Executive, AWS


 

Migrate to AWS database: Freedom to save, grow, and innovate           

Companies are accelerating their database migrations to the cloud. Frustrated with high cost, poor scalability and performance issues, these companies are looking to move their self-managed workloads to fully managed services in the cloud, or to break free from the restrictive nature of legacy databases, to save, grow and innovate. AWS offers fully managed database services such as Amazon Aurora and DynamoDB at 1/10th of the cost of commercial databases, with faster performance than the popular alternatives. Ready to migrate? In this session, you will learn the modernization challenges, how to overcome them with fully managed AWS services, and the flexible ways AWS offers to help customers migrate successfully, with self-service tools, incentives, programs, and experts.

 

Phil Ferrante, Sr. Database Freedom GTM Specialist, AWS            

  

  

Accelerate time to value with AWS for Industrial solutions       

This session covers how cloud-deployed industrial solutions can move beyond a toolbox approach to deliver faster time to results and better outcomes for specific manufacturing challenges. Learn how the cloud enables data-driven improvements to production optimization and quality management, including connecting legacy and new equipment data to an industrial data lake. Discover how to solve common industrial challenges faster using AWS Solutions.

 

Joe Rosing, Worldwide Business Development Lead, Discrete Manufacturing Solutions, AWS 

 

 

AI Powered asset management and inspections

California wildfires increased in size by roughly 800% in the last 50 years. San Diego Gas & Electric (SDG&E) is adapting to the changing climate through the use of computer vision to automatically detect assets and damages on their electric system and helping to reduce the risk of wildfire. The company is ingesting millions of images from drones and IoT devices and applying machine learning to increase situational awareness of their assets. Using their innovation framework, SDG&E is continuously testing emerging technologies to adapt to the changing climate while exploring opportunities to enable the company’s sustainability objectives.

 

Gabe Mika, Digital Strategy, Cloud and Innovation Lead, San Diego Gas & Electric 

Rolf Gibbels, Head Worldwide Business Development, Power & Utilities, AWS

 

 

Production optimization in action with the AWS model factory

This session is built around an AWS Model Factory to demonstrate how AWS services apply in an industrial environment. Dive deep into the architecture, analytics and machine learning used to build computer vision and anomaly detection applications for production optimization and quality management use cases.

 

Steve Blackwell, Worldwide Technical Leader for Manufacturing, AWS

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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Venue

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

Who Should Attend

Who Should Attend

  • 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

Who Should Attend

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

  • Senior industrial leaders: CEO, CTO, VP of Operations, VP of Production, etc.

  • Line of Business (LOB) management (plant manager, operations manager, engineering manager, etc.)

  • IT professionals engaged in factory operations

  • Technical decision makers in engineering, system administrators, and solution architects

Why Attend

Hear directly from AWS experts, AWS Partners, and industrial companies how the cloud can help jump-start your digital transformation efforts. The agenda includes more than 50 sessions across 5 tracks.

Join us for specific sessions of interest, or attend as many sessions you wish!

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Keynote Address: Optimizing Business Operations

 

Abstract:
Increasingly, industrial companies are leveraging new digital technologies to optimize their business processes, speed innovation, and lower costs. This session covers the primary challenges industrial companies face in their digitalization journey and how the cloud can address these challenges. See how IoT, machine learning, and other edge and cloud services, along with solutions from AWS and AWS Partners are changing the way leading industrial companies run their business.
 

  • Sarah Cooper

    GM, Outcome Driven Engineering Team

    AWS

  • Bill Vass

    Vice President Engineering

    AWS

  • Alisha Alaimo

    President, US Organization

    Biogen

  • Roberta Schwartz, PhD

    Chief Innovation Officer and Executive Vice President

    Houston Methodist Hospital

  • Laurent Rotival

    Chief Innovation Officer and Senior Vice President

    Cambia Health Solutions

  • Featured AWS Partner

  • 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. Who should attend this event?

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


- Senior industrial leaders: CEO, CTO, VP of Operations, VP of Production, etc.
- Line of Business (LOB) management (plant manager, operations manager, engineering manager, etc.)
- IT professionals engaged in factory operations
- Technical decision makers in engineering, system administrators, and solution architects

2. How much does this event cost?

There is no cost to attend this event.

3. What are the available tracks and sessions?

Please find details on the industry tracks and breakout sessions here