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

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

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

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