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Full Agenda for the
Internet of Manufacturing Midwest 2018

8:00am
Morning Refreshments
8:50am
Welcome & Icebreaker
9:00am
CHAIR'S OPENING REMARKS

Conference Plenary session moderated by:

Jim Hassman, VP Sales, C3 IoT

9:10am
KEYNOTE PANEL: How Leading American Manufacturers are Ensuring Optimal Industrial IoT Implementation Across Their Plants
  • Defining the IoT Reality: What does a retrofitted factory look like in 2018?
  • Ease of Implementation: How to ease the transition into the realm of Industrial IoT
  • Legacy Systems: Ensuring optimal Industrial IoT integration
  • Standardization: Enhancing key standards across all layers of integration - Production equipment, sensors, and IT systems for data storage and analytics
  • Measuring Production Optimization: How do increased sensing capabilities across a manufacturing plant translate into higher production rates at lower costs?

Moderator:

Jim Hassman, VP Sales, C3 IoT

Panelists:

Nihar Satapathy, SVP, Strategy, Markets & Development, thyssenkrupp

Sanjay Mehta, Manager, Computational Modeling Center R&D, Air Products

Seth McDonald, QMIO Digital Leader, GE Aviation

Jason Krantz, Director, Business Analytics & Insights, Weill-McLain

Erik Nistad, Chairman, MESA International

9:50am
AI at Enterprise Scale

C3 IoT will discuss the application of AI, IoT, and model driven software architectures to realize the Digital Transformation of the enterprise, specifically focused on supply chain optimization.

Jim Hassman, VP Sales, C3IoT

10:10am
Small steps to big leaps in IioT: Unlocking new competencies within your value chain through technology
  • Learn how to align manufacturing efficiencies to achieve superior customer satisfaction
  • Understand how to rethink competencies to fully leverage value chain
  • Discuss how to drive cultural change and IioT adoption in your organization

Nihar Satapathy, SVP, Strategy, Markets & Development, thyssenkrupp

10:30am
Morning Break- Networking & Refreshments

One-to-One Business Meetings

11:10am
Roundtable Discussions

Attendees will break up into groups and will discuss key questions presented by the round table facilitator. Internal discussions will last 40 minutes to which the Conference Chair will invite Discussion Moderators to summarize discussion to the entire group.

Group A- Design Thinking: Building an Exceptional Customer Experience with IoT

Moderator:

Lola Banjo, Innovation Practice LeadSalesforce

Group B- Customization of Production Modes

Moderator:

Kevin Christenson, Global Manufacturing IT, Ford

12:10pm
Digitize to Thrive: Reducing Unplanned Downtime, Enhancing Recovered Capacity and Decreasing Inventory WITH IOT
  • Linking design, engineering, manufacturing and supply chain into one globally scalable intelligent system
  • Utilizing data analytics to predict, adapt and react more quickly and effectively
  • Empowering decision makers with real-time visibility and deep operational intelligence

David Bishop, SVP - Head of Research, Hitachi Solutions

12:30pm
Applied IOT solutions: A brief overview of connecting a continuous process to real-time and predictive reporting
  • How can a continuous process be adapted to take advantage of IOT technologies?
  • Key technologies and approaches to achieving an IOT vision
  • Providing operators and management with real-time and predictive reporting

Owen Gwynne, Senior Programmer, Teel Plastics

12:50pm
Networking Lunch

One-to-One Business Meetings

2:10pm
Choose a Track

TRACK A: PREDICTIVE MAINTENANCE

Track A will be moderated by Erik Nistad, Chairman, MESA International

CASE STUDY: Integrating Industrial IoT Systems

  • Evaluating existing IT and OT systems
  • Planning the capabilities of your new systems
  • Change management: preparing systems to offering the quality of operations your expect

Alexander Nazarov, Functional Excellence Manager, Cummins

TRACK B: AI APPLICATIONS IN MANUFACTURING

Track B will be moderated by Thomas Burke, CEO, OPC Foundation

BREAKOUT ROUNDTABLE: Beyond the AI Hype: What are the Key AI Applications Inside a Manufacturing Plant?

  • Can AI really crunch production time?
  • What are other key applications of AI technologies technologies in a manufacturing environment?
  • How does AI impact predictive maintenance programs?
  • What are the added costs vs. benefits of implementing AI across a manufacturing plant?

Moderated by:

Joe Becker, Managing Director, Industrial Analytics, Uptake

2:40pm
Choose a Track

TRACK A: PREDICTIVE MAINTENANCE

CASE STUDY:  Analytics Based Manufacturing on Electrical Discharge Machining (EDM) – Defect Prevention and Condition Based Maintenance

  • Utilizing single signal data for adaptive machining, analytics, and condition based maintenance
  • ‍How pattern recognition can be used to optimized machining solutions
  • ‍Improved machine health and prevention of defects with condition based maintenance

Seth McDonald, QMIO Digital Leader, GE Aviation

TRACK B: AI APPLICATIONS IN MANUFACTURING

Leveraging your IoT Platform to Build Business Value While Eliminating Technical Constraints

  • Deep diving into successful implementation of new IoT platforms by large-scale enterprises
  • High-level components of a true end-to-end IoT solution with a focus on the part everyone wants, Analytics
  • Planning to share data early: Why a data exchange is vital to your platform
  • Using modern analytical tools to gain immediate value and capability for yourself, your trading partners, and your end customers
  • Future-proof enablement for AI

Jerry Hawk, CEO & Managing Partner, Capax Global

3:00pm
Choose a Track

TRACK A: PREDICTIVE MAINTENANCE

How a Leading Manufacturer is Revolutionizaing Customer Experience through Predictive Maintenance

  • Minimizing product quality and reliability issues to meet customer delivery schedules
  • Optimizing spare parts inventory to reduce costs associated with stockouts and overstocks
  • Preempting warranty claims to increase customer satisfaction

Gustavo Chohfi, Director, Manufacturing Quality, Whirlpool

TRACK B: AI APPLICATIONS IN MANUFACTURING

CASE STUDY: How Machine Learning is Revolutionizing the Accuracy of Predictive Maintenance Programs

  • Utilizing machine learning to improve the accuracy of failure thresholds identified in pilot predictive maintenance programs
  • Using machine learning to analyze the outcome of each prediction, adjusting them continuously over time
  • Measuring the results and comparing the effectiveness of a predictive maintenance program before and after implementing machine learning

Michael Botha, North American Chief Technology Officer (CTO) and Cheif Architect, Software AG

3:20pm
Afternoon Break- Networking & Refreshments

One-to-One Meetings

4:05pm
Choose a Track

TRACK A: CYBERSECURITY & BLOCKCHAIN

Track A will be moderated by Erik Nistad, Chairman, MESA International

Optimizing Encryption Key Management to Increase Cybersecurity Across the Manufacturing Line

  • Preventing, Detecting and responding to cyber treats
  • How endpoint protections can enhance cyber attack forensics
  • Spotting anomalous and malicious activity as soon as it begins

Justin Montalbano, Cybersecurity Technical Manager, Aptiv

TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING

Track B will be moderated by Thomas Burke, CEO, OPC Foundation

Turning Any Enterprise into a Mobile Virtual Network with Global IoT

Carlos Villanueva, Head of Market Intelligence & Strategic Partnerships, BICS

4:25pm
Choose a Track

TRACK A: CYBERSECURITY & BLOCKCHAIN

Identifying Key Cyber Threats across the Manufacturing Line & the Right Tools to Combat Them

  • Identifying vulnerability in the endpoints of a smart manufacturer
  • Detecting cyber intrusions and treating them effectively
  • Evaluating different cybersecurity vendor offerings to understand what works best

Austin Bruck, IT Systems Administrator, Hatch Stamping Company

TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING

Digital Transformation for Industrial Control: 6 Things You Need to Know

Many businesses are looking to software to provide innovation and cost savings. Whether you are simply trying to better understand the “Digital Transformation” and how it might improve your control systems, or you are on the forefront of Industry 4.0 it’s important that you understand what factors to consider when evaluating which software is right for you. You must know how to address some fundamental challenges affecting any control system. The infrastructure you deploy provides the foundation for your manufacturing success going forward.  It’s critical to select the best solution for your needs at the outset. This talk will explore the 6 critical requirements you need to consider.

Amanda Lowe, Director Product Marketing, IoT, Wind River

4:45pm
Choose a Track

TRACK A: CYBERSECURITY & BLOCKCHAIN

ROUNDTABLE DISCUSSION: Defining Key Cybersecurity & Blockchain Applications for the Manufacturing Supply Chain

  • Using advanced cryptographic techniques and decentralized networks to build a trusted relationship among factories, suppliers, partners and customers
  • Leveraging blockchain to improve payment and solve integration issues
  • What are the limits to blockchain implementation across the manufacturing supply chain?

James Barkley, Manufacturing Chair, Midwest Big Data Hub

TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING

PANEL: Early Outcomes of Deploying Edge, Fog & Cloud Computing across Plants

  • How do edge, fog, and cloud computing converge?
  • How do edge, fog and cloud computing impact predictive maintenance?
  • What capabilities are enabled or enhanced through the use of edge computing?
  • ‍What is the biggest paradigm shift to manufacturing operations as a result of edge computing?

Moderator:

Kevin Stanley, Partner & Principal Software Engineer, OCI

Panelists:

Alexander Nazarov, Functional Excellence Manager, Cummins

Paris Forest, Director of IT, Boeing

Bart Pernai, System Assurance Center Operations Manager, Nalco Water

Cameron McCaskill, Senior Director, Business Development, Qualcomm

5:25pm
Networking Drinks Reception

Join us for drinks, appetizers and great conversations at the Day One kick off party!

8am
Morning Refreshments
9:00am
Chair's Opening Remarks

Day Two of the conference to be chaired by: Preston Reine, Group Manager, Industrial Automation, IHS Markit

9:10am
KEYNOTE: IT-OT Convergence: What Does the Manufacturing Plant of the Future Look Like?
  • Identifying key 2018 smart manufacturing trends and technologies and the gap between where we are vs. where we need to be
  • The role of Industrial IoT in moving towards the customization of production modes
  • From product to service: Opening new business models and markets through Industrial IoT

Edward Rodden, CIO, Sugar Creek

9:40am
DIGITAL TRANSFORMATION THROUGH CONNECTED PRODUCTS

Tim Watson, CEO, Smart Logistics

Achyut Jajoo, VP of Manufacturing, Salesforce

10:00am
CASE STUDY: Deploying a Condition-based Maintenance Strategy to Prevent Asset Failures, Detect Quality Issues & Improve Operational Processes
  • Accessing multiple data sources in real time to prevent asset failures and reduce maintenance costs
  • Predicting where, when and why asset failures are likely to occur
  • Quickly identifying primary variables as part of root-cause analysis

Gilbert Meyer Gauen, Director, Asset ManagementNational Oilwell Varco

10:20am
Morning Break- Networking & Refreshments

One-to-One Business Meetings

11:00am
CHOOSE A Track: TRACK Chair's Opening Remarks
11:10am
Choose a Track

TRACK A: ENHANCED AUTOMATION: SMART COLLABORATIVE ROBOTS

Track A will be chaired by: Erik Nistad, Chairman, MESA International

BREAKOUT ROUNDTABLE: How Machine Learning & Advanced Analytics are Optimizing Robot Process Automation

  • What are the opportunities for productivity gains in applying machine learning to automated production lines?
  • What is the impact of smarter manufacturing robots in workforce safety in factories?
  • How are manufacturers using advanced analytics to learn from equipment failures, quality issues, and safety hazards across manufacturing lines?

Moderated by:

James Barkley, Manufacturing Chair, Midwest Big Data Hub

TRACK B: THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING

Track B will be chaired by Bill Fienup, Director of Innovation Services & Co-Founder, mHub

BREAKOUT ROUNDTABLE: Will Industry 4.0 require a complete overhaul of my systems or can I keep some of my legacy equipment?

Pavan Singh, Senior Director, Business Development, Wind River

11:50am
Choose a Track

TRACK A: ENHANCED AUTOMATION: SMART COLLABORATIVE ROBOTS

Collaborative Robots at Nestlé

  • Digital transformation in Nestle
  • COBOT in manufacturing

Luisiana Molina, Senior Corporate Packaging Engineer for Zone AMS, Nestlé

TRACK B: THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING

How Convergence Can Drive Outcomes That Matter in the World of IoT

  • How the convergence of of multiple emerging technologies like IoT platforms, big data, analytics, machine learning and security solutions in the cloud is transforming manufacturing
  • The irruption of automation techniques across the supply chain processes and the continuous delivery and integration of enabling technology solutions
  • How seamless integration across the islands of IoT layers can give first hand visibility into actionable insight across the automated supply chain

E.G. Nadhan, Chief Technology Strategist - Central Region, Red Hat

12:10pm
Choose a Track

TRACK A- ENHANCED AUTOMATION

Monetize What Matters - Capitalizing on the Industrial IoT Opportunity

Matthew Dunkley, Director, Strategy & Product Management, Software Monetization, Flexera

TRACK B: THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING

CASE STUDY: The Lifecycle of Aircraft Digital Twin

Robert Rencher, Associate Technical Fellow, Boeing

12:30pm
Networking Lunch

One-to-One Meetings

1:30pm
Choose a Track

TRACK A: AR & VR APPLICATIONS IN A MANUFACTURING SETTING

Moderated by: Erik Nistad, Chairman, MESA International

PANEL:  How Manufacturers Are Capitalizing on AR, VR and Mixed Reality Technologies

  • Complex  Assembly: Can AR and VR tech ease the display  of complex assembly information?
  • Expert  Support: How does AR tech simplify  maintenance operations?
  • Quality Assurance: How can manual inspections and  quality assurance be enhanced through AR?
  • Automation:  How can AR technologies enhance  automation?

Moderator:

Thomas Milon, Principal, Boston Consulting Group

Panelists:

Gilbert Meyer  Gauen, Director, Asset Management, National  Oilwell Varco

Jason Krantz, Director, Business Analytics & Insigths, Weill-McLain

Jordan Kathe, Industrial Engineer, Flexco

Tim Stuart, CEO, Visual Decisions

Erik Nistad, Chairman, MESA International

TRACK B: PRODUCTION MODES CUSTOMIZATION

Moderated by: Peter DeNagy, President, Acommence Advisors

PANEL: How Is Advanced Manufacturing Taking Product Tailoring to the Next Level?

  • What are the key product tailoring applications of Industrial IoT technologies?
  • How does industrial IoT enable the customization of production modes?
  • What production scenarios can be suitable for 3D printing and Industrial IoT?

Moderator:

 Peter DeNagy, President, Acommence Advisors

Panelists:

Michael Koscho, Director of Quality and Advanced Manufacturing, Eaton

Clay Scott, Production Manager - Coiled Tubing Surface Equipment, Schlumberger

Adalberto Teran, Business Development Executive Director, IoT, SparkCognition

 

2:00pm
Choose a Track

TRACK A: AR & VR APPLICATIONS IN A MANUFACTURING SETTING

Embracing the Concept of Open Innovation to Maximize AR/VR Applications across the Factory Floor

Agmon David Porat, Head of Innovation Lab, Ham-Let

TRACK B: PRODUCTION MODES CUSTOMIZATION

Digital Services Business Model at Caterpillar

  • The building blocks of a Digital Strategy
  • How to create value from IoT
  • The different IoT business models
  • Journey and lessons learned

Conrado V Petrov, Dealer Digital Operations Manager, Caterpillar

2:20pm
Choose a Track

TRACK A: AR & VR APPLICATIONS IN A MANUFACTURING SETTING

IoT is Powering a Predictive Maintenance Revolution.  Augmented Reality is Making it Real

The exploding use of sensors in manufacturing is enabling new solutions for condition monitoring and predictive maintenance.  For some time, Augmented Reality has been a solution looking for a problem.  It has found one at the intersection of IoT and Field Service.

Scott Udell, VP IoT Solutions, CTP, an HPE Company

TRACK B: PRODUCTION MODES CUSTOMIZATION

Taking advantage of IIoT at the Edge - Best Practices

Successfully leveraging IIoT is more than just installing applications to analyze sensor data and update production schedules or maintenance windows. You need to ensure your edge IT infrastructure is available, connected and secure. However, using off-the-shelf IT tools and technologies is overly complex and will require increasing IT investments at the edge. A new type of edge infrastructure is needed that enables operators to innovate by providing on-premises reliability and security, with robust remote monitoring and remediation. Learn how today’s operators have been able to reduce barriers to IIoT deployment with Stratus’s technologies, and learn what’s on tap for the future.

Off-the-shelf IT tools and technologies won't work well for emerging edge computing requirements. Successfully leveraging IIoT at the edge will require secure and reliable, yet operationally simple edge IT infrastructure.

John Fryer, Senior Director, Industry Solutions, Stratus

2:40pm
Afternoon Break - Networking & Refreshments

One-to-One Business Meetings

Closing Plenary to be moderated by:

Erik Nistad, Chairman, MESA International

3:00pm
The Urgent Challenge of the 4th Industrial Revolution

A technical vision and economic model is introduced to help manufacturers surpass their competition through the accelerated learning curves made possible by the 4th industrial revolution.  Examples of companies on the journey and suggested next steps are also offered.

Kevin McDunn, Chief Technology Officer, UI LABS

3:20pm
DEMISTIFYING MACHINE LEARNING FOR MANUFACTURING
  • Identify the right problems to solve
  • Develop practical yet realistic models for machine learning applications
  • Visualize, present and consume the output to generate rapid results

Jeff Kavanaugh, Adjunct Professor, University of Texas at Dallas

3:40pm
WRAP-UP PANEL: How to Make Product Customers Understand the Benefits of Predictive Maintenance and Industrial IoT (and Pay for Them)?
  • What is the average cost structure for Industrial IoT?
  • How does implementing predictive maintenance in both products and manufacturing processes affect final product market prices?
  • Are customers in tune with the Industrial IoT cultural shift?
  • What are the key benefits of product predictive maintenance in the aftermarket from a customer standpoint?

Moderator:

Erik Nistad, Chairman, MESA International

Panelists:

Sanjay Mehta, Manager, Computational Modeling Center R&D, Air Products

Bart Pernai, Center Assurance Center Operations Manager, Nalco Water

Sabrina Siu, UX Designer & Researcher, Alluvium

4:30pm
Chair's Closing Remarks