Future of Artificial Intelligence and Cobots for Manufacturing

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What

Future of Artificial Intelligence and Cobots for Manufacturing

When

25-26 NOV 2019

Where

Amsterdam Netherlands

Contact Us

To learn more, don’t hesitate to get in touch

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The Speakers

04

FEATURED INDUSTRY EXPERTS

Dr. Maik Friedel

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Improving predictive maintenance for equipment and machinery with a help of AI

Team Lead - Machine Learning and Statistics BASF

ƒ Implementing industrial predictive maintenance strategies with AI

ƒ Enhancing training the predictive maintenance model with Machine Learning ƒ How AI is making predictive maintenance a reality for the industrial Internet of Things (IoT)

ƒ Current adoption and autonomous adoption and implementation

ƒ Cost-saving strategy for maintenance of products: machinery and equipment

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Martin Mimer 

Senior TPS Specialist & Regional Manager  TOYOTA MATERIAL HANDLING 

ƒ Improving Safety in Human-Robot Collaborative Manufacturing Environments ƒ Current progress and progress of the human – robot collaboration
 

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02

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Programming of robotics to perform and training its sense

Viktor Schulz 

Data Scientist SAINT-GOBAIN

-Gaining an effective learning approach for Industrial Robot Programming

-What are the advantages and disadvantages the Different Programming Methods for Robots?

-Understanding of programming methods: teaching pendant, simulation/ offline programming and teaching by demonstration

-Focusing on deep learning for robot grasping

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Maher Chebbo

Chief Innovation Officer GE

Current progress and challenges of AI in Modelling and Simulation

- Reviewing the System Theory and Framework for Modeling and Simulation

- How do you combine machine learning and physics-based modelling?

- Integrating AI with simulation modelling

- What is the effect of AI and simulation on business and industry?

Maher Chebbo Chief Innovation Officer GE

04

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Milan Parmar

Head of Service Management - Europe & Latin America Managed Service Delivery ERICSSON

 -Improving performance and operational efficiency through current technology updates and advancements

- Achieving efficiency and productivity in user and end customer experience 

- Adapting the best practices of the triple-A and achieving success

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05

Moving towards AI, Automation and Analytics: Triple-A Lessons from Ericsson

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Heiko Witte 

Head of Engineering Improvements and Quality ROLLS-ROYCE

-Discovering and enhancing a collaboration of the Internet of People

- Employing collaborative tools during planning in order to help improving production processes, plant designs and tooling

- Improving visualization and communication of the information by collaborative technologies

- Designing efficient IoP strategies

Heiko_Witte

06

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Kari Terho

General Manager, Smart Factory, Industrial IoT, New Business Development ELISA

 How to use digital twins for disruptive manufacturing?
 

What a digital twin is, and why it matters? ƒ Reducing costs and optimizing performance with digital twins ƒ Improving 4 digital twin’s applications: engineering, design customization, production and operations

Moving digital twin towards smart manufacturing

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07

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Alan Grogan 

Executive Leader - Data, Analytics, AI and IoT Platforms IBM

 Accelerating AI technology and integrate Big Data and cloud computing networks

 Learning the cognitive services: Big Data, Cloud computing and IoT

ƒ What is the relationship between Big Data, IoT and cloud computing?

ƒ Discovering integrated platforms and how everything becomes serverless

ƒ Moving from Big Data to continuous data

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Josef Kriegmair 

Representative Production Turbine Blade / Structure Castings MTU ENGINES

Digital Manufacturing of Jet Engines Parts 

Impract of the interface prdocut design - production planning on time to market

ƒ Topologies in production engineering

ƒ Fast ramp via simulation

ƒ Agility in production via software-defined tools

 Data as an enabler manufacturing

 

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09

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SVP Global Operations ELECTROLUX

Accelerating the Quality 4.0 approach for manufacturing sector - Maintaining 

 Maintaining high levels of Quality 4.0. approach, and complying with the quality regulations and standards

ƒ Involving the use of AI algorithms to notify manufacturing teams of emerging production errors

ƒ Collecting data about the use and performance of products Quality 4.0

 

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Agenda

NOV 25

09:00

Meet & Greet

10:40

Coffee Break

13:00

Lunch

14:00

Networking

16:00

Q & A Session

2

14

100

DAY
SPEAKERS
PARTICIPANTS

The Venue

Amsterdam Netherlands

Get the celebrity treatment with world-class service at Bilderberg Garden Hotel

The Bilderberg Garden hotel is a 5-star hotel in a quiet area of Amsterdam, within 1.5 m from Rijksmuseum, Van Gogh Museum and Stedelijk Museum. Vondelpark is a 10-minute walk. It features an elegant restaurant, lounge with a fireplace and a terrace.

Bilderberg Garden Hotel benefits from air-conditioned rooms with a work desk, tray with tea and coffee making facilities and a modern bathroom which is supplied with a robe and slippers.

De Kersentuin serves French cuisine which are complimented by an extensive selection of wine. The cozy hotel bar serves light snacks and drinks including cocktails.

The P.C. Hooftstraat shopping area is just over a 15-minute walk away. Bilderberg Garden is only 1.2 mi from Amsterdam RAI. Museumplein, featuring the Rijksmuseum and Van Gogh Museum, is 15 minutes’ walk from the hotel.

Oud Zuid is a great choice for travelers interested in museums, culture and walking.

Couples in particular like the location – they rated it 8.0 for a two-person trip.

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