Registration & Breakfast
Internet of Business Welcome & Ice-breaker
Chair’s Welcome
Trinity Ballroom
Pete DeNagy, President/Co-Founder, Internet of Things America, LL
Reaping the Benefits of Digital Twin Technologies for Operational, Manufacturing & Process Excellence
• Use of the Digital Twin supporting production
• Rapid productizing utilizing the IT-OT convergence
• Digital twin advantages enabling custom manufacturing
• Utilizing the data that you already have
Mark Becnel, President, RadioBro Corporation
The Survival Guide for Manufacturing Plants Reducing Downtime & Upgrading the Customer Experience
Pablo Wangermann, Global Leader, IoT, DXC Technology
KEYNOTE PANEL DISCUSSION: Bridging the Gap Between IT, OT & Business by Understanding the Art of the Possible
Santiago Arambula, Strategy Markets & Development, thyssenkrupp North America
Joseph Sinopoli, Print Production Manager, Formlabs
Alexander Nazarov, Functional Excellence Manager - Engineering, Cummins
Mara Ordaz, Associate Vice President, IT, Allergan plc
Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings
Park West Ballroom
Tale of an AI Project: The Journey from Concept to Reality
• Discuss how to leverage a traditional organization’s talent and new / emerging technologies to advance your customers
• Creating a safe environment for failure to explore possibilities
• Looking for partnerships inside and outside of the organization to accelerate progress
• Failing fast or creating a platform for future growth
Santiago Arambula, Strategy Markets & Development, thyssenkrupp North America
Industry 4.0 Made Real: How to Increase Throughput and Reduce Costs
Unlock insights, reduce unplanned downtime, improve producty quality and increase throughput with Industry 4.0. Learn how Industrial IoT, machine learning and artificial intelligence can help you predict and mitigate operational issues and deliver results across your organization.
David Meek, IoT & Industry 4.0 Global Leader for Chemicals, Petroleum & Industrial Products, IBM
Oil & Gas Spotlight: Leveraging Data Analytics & Edge Computing for Commercial Gain
Data is fantastic, but what do you do with it? What you do with the data that collects on your IoT platform is central to staying relevant as a business.
Join this innovation leader from the oil and gas industry to discover how to leverage AI and machine learning to draw insights and make cost savings.
Understand edge computing and how it fits in with your data analytics planning.
Helenio Gilabert, Senior Business Transformation Director, Schneider Electric
The Future of the Digital Thread
Don Kinard, Senior Fellow, Lockheed Martin
Networking & Lunch Break | Pre-scheduled 1-2-1 Meetings
Park West Ballroom
Track A: BUSINESS STRATEGY
Trinity Ballroom
Building Business Buy-In & Foundations for ROI
Track B: IT & TECHNICAL
Park West Ballroom E
Getting Started with IoT Technology Implementation
Track Chair's Opening Remarks
Pete DeNagy, President/Co-Founder, Internet of Things America, LL
Track Chair's Opening Remarks
Jeff Reinke, Editorial Director, Industrial Media
PANEL DISCUSSION: 101 in Industrial IoT
Are you still at the thinking stage? How do you start your IoT journey? Join this panel of leading manufacturers to hear how they are or are planning to implement IoT into their manufacturing plants. Ask key questions keeping you up at night.
We will be asking you to send in your questions pre-event, and some that will be answered include:
Moderator:
Eric Down, Senior Manager, Kalypso
Panelists:
Karl Rosenblum, Head, Global Capacity & Risk Strategy, Alcon
Hicham Wazni, Corporate Director of Manufacturing Intelligence and Smart Manufacturing, Arconic
Ismail Guneydas, Vulnerability Manager, Cyber Security & Assurance, Kimberly-Clark Corp.
CASE STUDY: How the Largest Home Appliance Company in the World is Revolutionizing Customer Experience Through Predictive Analytics
• The journey from basic analytics to Industry 4.0
• Predictive analytics as an enabler to make faster, different and better decisions
• Realizing the impact of data analytics on your business and customers
Gustavo Chohfi, Director, Manufacturing Quality - North America & Mexico Regions, Whirlpool
Connecting the Legacy Factory to Get the Best Out of What You Already Have
Daniel Belair, Manufacturing Manager, Siemens
Fast Accurate Data Collection in Practice
• Data is the key to success in IIoT, but what do you do if you don’t already have data?
• How do you build data quickly and accurately without having to wait for two years of operational machine learning?
Dave McCarthy, VP of Marketing, BSquare
Bringing Industry 4.0 to a $14 Billion Company
Hear how Smart Manufacturing is being led at Arconic, and why the methodical approach and the people element are as important as the technology. Join this session to hear how a layered approach to training and development will advance your technology investment. Discover how to overcome the challenge of collecting and utilizing data in six essential steps to unlock hidden value in your organization.
Hicham Wazni, Corporate Director of Manufacturing Intelligence and Smart Manufacturing, Arconic
IoT Transformation: An Evolution not a Revolution
· Evaluating existing drivers
· Planning the capabilities of your new systems
· Change management: preparing systems to offering the quality of operations you expect
Alexander Nazarov, Functional Excellence Manager- Engineering, Cummins
PANEL DISCUSSION: From Prototype to Pilot- How to Track Tangible Wins from Implementation & Automated Decisions
Discussion and Insight into:
• Choosing the best projects to test, tracking progress and measuring benefits
• Examples of solution implementations
• Learnings in an operational environment
• Preparing to scale up to production
Moderator:
Jeff Reinke, Editorial Director, Industrial Media
Panelists:
Daniel Belair, Manufacturing Manager, Siemens
Robert Stucky, Manufacturing Engineer, Small Body Stationary Components, Solar Turbines
John Rassiuer, Managing Partner, Digital Integrated Solutions, DXC Technology
CASE STUDY: Deploying a Condition-based Maintenance Strategy to Prevent Asset Failures, Detect Quality Issues & Improve Operational Processes
• 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
Gilbert Meyer Gauen, Director, Asset Management, National Oilwell Varco
Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings
Park West Ballroom
WORKING GROUP DISCUSSIONS
Choose one working group to join to discuss advances within your business and brainstorm challenges.
Group A:
Trinity Ballroom
Group B:
Park West Ballroom E
Creating Industry 4.0 Products that Pay for Themselves
David Meek, IoT & Industry 4.0 Global Leader for Chemicals, Petroleum & Industrial Products, IBM
Design and production that drives IoT Manufacturing
Presented by the Tech Titans Internet of Things and the Design and Manufacturing Forums
While many are focused on IoT technology related to Smart Cities applications, the marriage of IoT and manufacturing is driving innovation to new heights. A panel of Dallas Fort Worth experts will explore the many facets of IoT manufacturing including how blockchain, design and cyber security play key roles in the process.
Moderateor:
Ed Hightower, IoT and Beyond
Panelists:
Mike Wilkinson, Paragon Innovations
Closing Remarks followed by Drinks
Registration & Breakfast
Chair’s Welcome
Trinity Ballroom
Raj Manchanda, Director, Business Development - Manufacturing & Robotics, ASME
KEYNOTE PANEL DISCUSSION: Successful Journeys & Monetary Benefits of Modern Day Automation
Moderator:
Raj Manchanda, Director, Business Development - Manufacturing & Robotics, ASME
Panellists:
Mark Lewandowski, Robotics Innovation Technical Section Head, Procter & Gamble
Matthew M. Robinson, Program Manager, ROS-Industrial Consortium Americas
David Bishop, VP – R&D, Hitachi Solutions
The Path to Data-Driven Decision-Making
· What does data-driven decision-making look like at Ford? How can you make structural and organizational changes to get the most out of your data?
· What is the role of the data scientist? Looking at the profile and positioning of this new role
· Real-life examples of business advances brought by decisions resulting from new tools and analytics
Alan Jacobson, Director, Global Data, Insights & Analytics Team, Ford
When & Why to Use Robotics
Mark Lewandowski, Robotics Innovation Technical Section Head, Procter & Gamble
WORKING GROUPS: Efficient Manufacturing through Additive Manufacturing, 3D Design & Simulation
10:10 – 10:35am
Break off into small groups for 25 minutes and discuss and learn from our facilitators and each other, delving into questions in areas including:
10:35 – 10:50am
Reconvene, and each group leader will share their team’s thoughts and conclusions.
Facilitators:
Joseph Sinopoli, Print Production Manager, Formlabs
Claudia Reuter, Managing Director, Stanley+Techstars Additive Manufacturing Accelerator
Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings
– Park West Ballroom
Steps to Building IIoT Software & Architecture
Hamid Montazeri, VP, Software Engineering & Autonomous Robotics, Stanley Black & Decker
Realizing the Potential of AI in Manufacturing
Andrew Hopkins, Managing Director – Industry X.0, Accenture
PANEL DISCUSSION: Cloud vs. Edge Data Management & Analytics
Panelists:
Adebayo Onigbango, Senior Director, Business Operations Transport Intelligence, GE Transportation
Mark Becnel, President, RadioBro Corporation
Trevor Conn, Senior Principal Software Engineer, EdgeX Foundry
Networking & Lunch Break | Pre-scheduled 1-2-1 Meetings
– Park West Ballroom
Chair’s Opening Remarks
Jeff Reinke, Editorial Director, Industrial Media
PANEL DISCUSSION: Bringing IT All Together - Data Collection, & Interpretation to Make Real Informed Decisions
Panelists:
Michael Tay, Advanced Analytics Product Manager, Rockwell
Keith Bradley, IT Manager, NatureFresh Farms
The Road to Machine Learning; Yesterday, Today & Tomorrow
Charlie Stack, SAP S4 HANA "Leonardo" Machine Learning Program Manager, Corporate Maintenance Manager, Kaneka North America
How to Apply Machine Learning & Blockchain for Materials Traceability Purposes
Tanya Doyle, Principal, Technology Strategy and Implementation, Gas Asset and Risk Management Lean Lead, Pacific Gas and Electric Company (PG&E)
Betty Magome, CEO, Nimble Consulting
How Real-Time Advanced Analytics Are Transforming Manufacturing
How are real-time analytics enabling remarkable productivity gains?
Overview of methods for collecting product lifecycle data
Examples of efficiencies brought by real-time data analytics?
How are manufacturers enhancing equipment performance through access to real-time insights?
Michael Tay, Advanced Analytics Product Manager, Rockwell Automation
Close of Conference
