Agenda | Internet of Manufacturing SW

Day 1: Tuesday December 4th

DIGITIZE TO THRIVE: BRIDGING THE UNDERSTANDING GAP

8.40am

Internet of Business Welcome & Ice-breaker

8.50am

Chair’s Welcome

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Held for Lead Sponsor

9.00am

Real Life Industrial IoT: Optimizing Production & Operations by Leveraging Virtual Worlds‍

How Key Technologies can Enable IoM: Exploring VR and AR, Digital Twin Simulation, 3D Design & Printing
Achieving a step change in how we design, produce and maintain products
Improving how we develop customized manufacturing to reflect changing customer
demand
Maximizing developments across the supply chain to benefit from wider strengths
and capabilities
Utilizing the data that you already have
Reaping the benefits of Digital Twin technologies for operational, manufacturing and process excellence

9.25am

Visualization: The Survival Guide for Manufacturing Plants Reducing Downtime & Upgrading the Customer Experience

Technology, often invisible but how do you ensure it is working?
Customized production directly responsive to your customer
Plug and play modular plants
Data as a key asset in the manufacturing process
Prescriptive decision making based on machine learning and real-time data visibility
Moving towards a distributed virtual environment

‍Session held for Lead Sponsor

9.45am

KEYNOTE PANEL DISCUSSION: Bridging the Gap Between IT, OT & Business by Understanding the Art of the Possible

How to build comfort levels between Business and IT managers at the conceptual level to gain real cost savings and profit?
Examples of translating technology speak into business benefits
What steps can be taken to develop a realistic implementation strategy?
Discussing lessons learned on the road to ROI from technology investment

Santiago Arambula, Strategy Markets & Development, thyssenkrupp North America

10.15am

Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings

Park West Ballroom

ADVANCING IoT BUSINESS & ANALYTICS

11.00am

Data Analytics Story: From Predictive Maintenance to Customer Churn Rates

AI and Advanced Analytics in real life action - why do manufacturers need to prioritize it?
Understanding the need for business leadership over data
Making realistic projections when it comes to time frames and solution partners
Realizing the impact of data analytics on your business and customers

Santiago Arambula, Strategy Markets & Development, thyssenkrupp North America

11.25am

Powering a Smart Factory: Getting Started

Maximizing factory productivity and improving product quality
Unlocking hidden insights
Accessing some quick wins
How to profit from an abundance of data

Session held for Platinum Sponsor, IBM

11.45am

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.

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Helenio Gilbert, Senior Business Transformation Director, Schneider Electric

12.15pm

The Future of the Digital Thread

What is your 'digital thread' and how do you take advantage of it?
Gain insight into how Lockheed Martin is taking advantage of the digital thread and
connections with the factory equipment to drive factory efficiency
Progressing to explore the future of work, and how your workforce can drive digital
transformation

‍

Don Kinard, Senior Fellow, Lockheed Martin

12.40pm

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 F

Getting Started with IoT Technology Implementation

2.00pm

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:

How to justify ROI in digital investment
So many technologies, but which do you need and how
do you decide who to buy them from? Real life examples of AR, VR, Robotics
Can ‘legacy’ manufacturers really become software
centric, and what does that
truly mean?
How is real-time, unified
visibility into factory operations is reducing downtime and improving quality?‍

‍

‍Moderator:

Chad Markle, Partner – Practice Leader, Digital Innovation, Kalypso
‍

Karl Rosenblum, Head, Global Capacity & Risk Strategy, Alcon

PANEL DISCUSSION: Introduction to IoM Technology for Smart Manufacturing

How do you get started: which platforms and applications to start with?
Discussing the challenges of integrating with legacy systems?
Next, what are the key take aways when implementing advanced robotics into flexible automation, next generation man-machine interfaces and new programming tools?
Role-Based Apps: Gaining intelligence into specific phases of the manufacturing process, providing the ability to react in real-time

2.40pm

Starting IoT the Intelligent Way: Reducing Unplanned Downtime, Enhancing Recovered Capacity & Decreasing Inventory

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

‍

Reserved for Gold Sponsor

Understanding How the Convergence of Operational Technology, Software & IIoT Technology can Deliver Process Optimization

Gain a deeper understanding of the increasing convergence of IT and OT
Optimizing business processes
Enhancing information for better
decision-making
Reducing costs, risks and project
timelines

‍

Reserved for Gold Sponsor

3.05pm

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

Challenges & Solutions in Maintaining the Security of the Industrial IoT

Identifying vulnerability throughout the manufacturing process
Strategies for the early detection of security breaches
Understanding the range of cybersecurity vendor offerings to pinpoint what combination will work best in your facility

3.30pm

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

Successful Integration of New Technologies with Legacy Systems

Analysis and audit of existing technologies and architectures
Marrying technologies; choosing the right APIs and edge devices
Maintaining reliability and generating accurate data

‍

Biju Nair, IT Director, Web and Digital Services, PepsiCo

3.50pm

Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings

Park West Ballroom

4.30 - 5.30pm

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 F

4.30pm

Creating Industry 4.0 Products that Pay for Themselves

Session hosted by Platinum Sponsor, IBM

Session hosted by TechTitans

5.30 - 7.00pm

Closing Remarks followed by Innovation Den & Drinks

5.30 - 6.30pm

IoB INNOVATION DEN & DRINKS RECEPTION

Bored of the same old solutions? Hear some quick, new solution offerings that could help you solve the problem you’ve been struggling with.‍

Join our fun, pitching round! Hear 3 x 10-minute pitches from innovative companies while relaxing with drinks.

This session will consist of 10-minute presentations focused on how each digital innovator is bringing tangible benefits to manufacturers followed by comments and questions from the panel and audience.

An audience vote will be taken via the event app, and the chair will announce and award the most impressive pitch during the Day Two’s opening remarks.

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5:40pm Introduction to the Judging Panel

‍

5:45pm Pitch 1:

5:55pm Q&A from the Judges & Audience

‍

6:00pm Pitch 2:

6:10pm Q&A from the Judges & Audience

‍

6:15pm Pitch 3:

6:25pm Q&A from the Judges & Audience

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6:30pm Wrap up & more drinks!

Day 2: Wednesday December 5th

AUTOMATING INDUSTRIAL IoT DREAMS INTO REALITY

8.00am

Registration & Refreshments

9.00am

Chair’s Welcome

9.10am

KEYNOTE PANEL DISCUSSION: Successful Journeys & Monetary Benefits of Modern Day Automation

Which technologies are disrupting manufacturing and how can they expand your business and profits?
How to connect production operations and enterprise business leaders to drive success
Choosing the right digital technologies for you
Exploring collaborative robotics
Building an effective data analysis process

‍

Panelists:

Mark Lewandowski, Robotics Innovation Technical Section Head, Procter & Gamble

Matthew M. Robinson, Program Manager, ROS-Industrial Consortium Americas

9.40am

Next Generation Automation: Robotics as a Service

Diving into the dynamics of the cobot and human relationship
How can Robotics as a Service (RaaS) help manage costs effectively?
Integrating AI and machine learning platforms to advance tasks
Examining the effects on older automation systems

‍

Held for Platinum Sponsor

10.00am

When & Why to Use Robotics

A case study on P&G’s robotics program
High level view on development strategy
How to think about innovation in robotics
Overview of the five key focus areas for robotics

‍

Mark Lewandowski, Robotics Innovation Technical Section Head, Procter & Gamble

10.20am

Steps to Building IIoT Software & Architecture

Addressing the need for a new software solution: to upgrade legacy or design new software?
How to integrate manufacturing and enterprise architecture?
And what about data integration?
How to set your architecture up for the data visibility needed by business
How can Business and IT teams speak the same language, to drive business
forward?

‍

Hamid Montazeri, VP, Software Engineering & Autonomous Robotics, Stanley Black & Decker

10.40am

Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings

Park West Ballroom

Track A: BUSINESS STRATEGY
Trinity Ballroom

Successful IoT Strategy Implementation

Track B: IT & TECHNICAL
Park West Ballroom F

Data Collection & Management

11.25am

Track Chair’s Opening Remarks

‍

Jeff Reinke, Editorial Director, Industrial Media

Track Chair’s Opening Remarks

11.35am

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

PANEL DISCUSSION: Bringing IT All Together - Data Collection, & Interpretation to Make Real Informed Decisions

Driving actionable insights and incremental value from data generated by IIoT
Complementing how you collect, store and analyze data with new tools and technologies
Analyzing data in real time for real business benefits
Understanding the Data Scientist role

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Panelists:

- Michael Tay, Advanced Analytics Product Manager, Rockwell

12.05pm

How Machine Learning is Revolutionizing the Accuracy of Predictive Maintenance Programs

How can you utilize machine learning to improve the accuracy of failure thresholds identified in pilot predictive maintenance programs?
Using machine learning to analyze the outcomes of each prediction, adjusting them iteratively over time
Measuring the results: Comparing the effectiveness of a predictive maintenance program, before and after implementing machine learning

‍

Session reserved for Silver Sponsor

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?

‍

Session reserved for Silver Sponsor

12.25pm

Connecting the Legacy Factory to Get the Best Out of What You Already Have

Retrofitting of sensors and applied analytics on legacy equipment
Gaining advanced knowledge so you know the pitfalls to avoid
What are the short and long- term goals and benefits of new application and platform choices
Assessing training and development needs

‍

Daniel Belair, Manufacturing Manager, Siemens

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

12.45pm

Networking & Refreshment Break | Pre-scheduled 1-2-1 Meetings

Park West Ballroom

Track A: BUSINESS STRATEGY
Trinity Ballroom

New Technologies, Business Models & Services

Track B: IT & TECHNICAL
Park West Ballroom F

Edge Computing & Analytics

1.45pm

How to Apply Machine Learning & Blockchain for Materials Traceability Purposes

How do you apply machine learning and blockchain to enterprise solutions to maximize your technology solution?
How do you solve business problems of how to better track materials inventory from the manufacturer, to the distributor, to the receiving organization and its many downstream users (materials traceability?)

‍

Senior Representative,
Pacific Gas & Electric

Betty Magome, CEO, Nimble Consulting

Securing Speed of Data Transmission & Data Analytics Conducted at the Edge

What can Edge computing do for your data processing capability?
Creating an IIoT data processing layer stack
From pilot to facility wide roll out: scaling up while maintaining reliability and safety
Assimilating and processing huge amounts of data, then building new business models and service offerings

2.15pm

Realizing the Promises of Smart Manufacturing & Value Propositions:

How to ensure you add value across the supply chain
The importance of educating and empowering partners
Leveraging digital assets to ensure innovation does not stop at the product

Implementing the Right Edge Computing Architecture

Optimizing resource usage in a cloud- computing system
Reducing network traffic by performing computations at the edge of the network
Improving security by encrypting data closer to the network core
Maintaining control: collecting data at a network’s edge in real time

2.35pm

PANEL DISCUSSION: How to Get to Servitization & Will Manufacturers’ Future Business Models Disrupt Platform Based Ecosystems?

How to design, develop and sell new products and packages
What new business models have been tried and tested?
Actioning new digital models through IT & Business collaboration
How will platform-based ecosystems uplift capabilities and create industry disruption?

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Panelists:

Claudia Reuter, Managing
Director, Stanley+Techstars Additive Manufacturing Accelerator

PANEL DISCUSSION: Cloud vs. Edge Data Management & Analytics

How is edge computing being used by manufacturers in real-life scenarios
From cloud to fog to edge: understanding the differences and crossovers
‍
Gaining insights into key applications and data analytics capabilities of the different technologies?
Discussing when to manage data in the cloud, and at the edge

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Panelists:

Adebayo Onigbango, Senior Director, Business Operations Transport Intelligence, GE Transportation

3.00pm

Networking & Refreshment Break

AI – STANDARDS – DESIGN

3.30pm

Track Chair’s Opening Remarks

3.35pm

AI Technologies: Are they Really Delivering on Their Early Promises?

Chasing a moving target
Where can AI boost innovation, insight, and decision-making?
How can implementing AI lead to revenue growth and efficiency improvements?
Insights into technical constraints and organizational ones, such as cultural barriers

4.00pm

Developing Standards in IIoT to Gain Real Benefits

Setting the standards, best practices and processes of the Industrial Internet
Enhancing key standards across all layers of integration
Case Study: the Smart Factory Web Testbed

4.25pm

Efficient Manufacturing through 3D Design & Simulation

Measuring in the short and long-term impact on your profitability
Identifying the new opportunities
Connecting the entire value chain
Reskilling for the future

4.45pm

Closing Remarks & Close of Conference

IoTBuild - Network to Edge

Conference Agenda

Please see the 2018 agenda below

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