ATCx AI for Engineers 2024

June 20, 2024
Global Virtual Event

  • Days
  • Hours
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June 20, 2024 00:00:00

AI-Powered Engineering for Design, Simulation, and Manufacturing

Are you ready to unlock the full potential of artificial intelligence (AI) in engineering?

The ATCx AI for Engineers virtual global event brings together design, simulation, and manufacturing engineers to explore the transformative power of artificial intelligence (AI) in product development. This immersive online event delves into the latest AI-driven tools and strategies for optimizing workflows, accelerating innovation, and achieving a safer, more connected, more sustainable future. 

This global virtual event will launch in 2 time zones to cover APAC/EMEA and AMER/LATAM regions with live translations in 8 languages – Spanish, French, Italian, Portuguese, German, Japanese, Chinese, and Korean. 

Let’s Explore the Possibilities Together

Through keynote addresses, technical talks, interactive workshops, and networking opportunities, attendees will gain invaluable insights into: 

  • AI-Powered Design and Optimization: Discover how AI can automate design exploration, improve product performance, and foster sustainable development. 
  • AI-Embedded Engineering: Explore the integration of AI into simulation tools for faster, more accurate predictions and virtual prototyping. 
  • AI-Augmented Manufacturing: Learn how AI can optimize production processes, reduce waste, and ensure quality control in a smart manufacturing environment. 

The conference caters to design, simulation, and manufacturing engineers seeking to leverage AI for a competitive edge. Join us to unlock the full potential of AI and propel your engineering journey. 

 

Why Attend?

The event will feature three dedicated tracks focusing on key aspects of, generative AI (genAI) in engineering, and AI integration in the design, simulation, and manufacturing landscape: 

Main Session: Generative AI for Transformative Engineering

Parallel Tracks: 

  • Design Track: AI-Driven Design for Innovation
  • Simulation Track: AI-Empowered Simulation to Accelerate Insights 
  • Manufacturing Track: AI for Smart Manufacturing

By attending these tracks, engineers will gain a comprehensive understanding of how AI can be leveraged across the entire product development life cycle, from conception to manufacturing. 

Secure your spot today!

Speakers

Mike Gualtieri
Mike Gualtieri Forrester Vice President, Principal Analyst
Stavros Stefanis
Stavros Stefanis Deloitte Principal, Product Engineering & Development
Simon Backhaus
Simon Backhaus Alcom Director
Chris Wlezien
Chris Wlezien McKinsey Design Senior Expert & Design Director, Engineering
Jeevesh Prasoon
Jeevesh Prasoon Hero MotoCorp Sr. Engineer- Digital Engineering
Ravi Kunju
Ravi Kunju Altair Chief Product and Strategy Officer
Fatma Kocer
Fatma Kocer Altair Vice President, Engineering Data Science
Matt Smolka
Matt Smolka Lotus Principal Engineer, Advanced Simulation
Giuseppe Gullo
Giuseppe Gullo CNH Industrial FEA Design Analysis Engineer
Kazuki Sakurai
Kazuki Sakurai Daikin
Ingo Mierswa
Ingo Mierswa Altair Sr. Vice President, Product Development
Jeff Glueck
Jeff Glueck Altair Sr. Vice President, Consulting GSI Channel Management
LaRue Brown
LaRue Brown Altair Vice President of Product Management
 Keshav Sundaresh
Keshav Sundaresh Altair Global Director of Product Management Digital Twin & MBSE
Sridhar Ravikoti
Sridhar Ravikoti Altair Director, Product Management
Ujwal Patnaik
Ujwal Patnaik Altair Director, Product Strategy and Pricing
Dheeraj Vemula
Dheeraj Vemula Altair Business Development Manager, Digital Twins
Sandeep Yadav
Sandeep Yadav Altair Regional Technical Manager, Data Analytics
Mike Gualtieri
Mike Gualtieri Forrester Vice President, Principal Analyst
Stavros Stefanis
Stavros Stefanis Deloitte Principal, Product Engineering & Development
Simon Backhaus
Simon Backhaus Alcom Director
Chris Wlezien
Chris Wlezien McKinsey Design Senior Expert & Design Director, Engineering
Jeevesh Prasoon
Jeevesh Prasoon Hero MotoCorp Sr. Engineer- Digital Engineering
Ravi Kunju
Ravi Kunju Altair Chief Product and Strategy Officer
Fatma Kocer
Fatma Kocer Altair Vice President, Engineering Data Science
Matt Smolka
Matt Smolka Lotus Principal Engineer, Advanced Simulation
Giuseppe Gullo
Giuseppe Gullo CNH Industrial FEA Design Analysis Engineer
Kazuki Sakurai
Kazuki Sakurai Daikin
Ingo Mierswa
Ingo Mierswa Altair Sr. Vice President, Product Development
Jeff Glueck
Jeff Glueck Altair Sr. Vice President, Consulting GSI Channel Management
LaRue Brown
LaRue Brown Altair Vice President of Product Management
 Keshav Sundaresh
Keshav Sundaresh Altair Global Director of Product Management Digital Twin & MBSE
Sridhar Ravikoti
Sridhar Ravikoti Altair Director, Product Management
Ujwal Patnaik
Ujwal Patnaik Altair Director, Product Strategy and Pricing
Dheeraj Vemula
Dheeraj Vemula Altair Business Development Manager, Digital Twins
Sandeep Yadav
Sandeep Yadav Altair Regional Technical Manager, Data Analytics

Agenda

Thursday, June 20, 2024
Main Session: Generative AI for Transformative Engineering
APAC/EMEA Session: 9:00 a.m. Paris I 12:30 p.m. Bangalore I 3:00 p.m. Shanghai I 4:00 p.m. Tokyo
AMER /LATAM Session: 9:00 am San Francisco I 11:00 a.m Chicago I 12:00 p.m New York

A visionary exploration of how genAI can unify and enhance the engineering life cycle. It’s a call to action for engineers to harness AI’s full potential in solving multifaceted engineering challenges. 

  • Unified AI Integration: Explore how Generative AI streamlines engineering workflows by combining design, simulation, and manufacturing. 
  • Sustainable Life Cycle Management: Learn how AI optimizes product lifecycles for ... Read More

Welcome Keynote: Engineer the Future: Your AI-Driven Odyssey Begins Here, Now!

Ravi Kunju I Chief Product and Strategy Officer I Altair

Ten Must-Haves When Choosing An Enterprise AI Platform

Mike Gualtieri I Vice President, Principal Analyst I Forrester

AI applications are essential, not just for companies that want to be at the cutting edge and differentiate from their customers, but for every enterprise. Technology teams supporting the enterprise’s AI ambitions can struggle to keep up with the pace of innovation and development, not to mention the increased collaboration required with their colleagues and the business across the application development lifecycle. To overcome this challenge, they turn to no-code/low-code AI platforms to support the entire complex and multistakeholder ... Read More

Fireside Chat: The State of Generative AI in the Enterprise: Now Decides Next

Stavros Stefanis I Principal Partner I Deloitte Consulting
Jeff Glueck I Senior Vice President, Strategic Relationships I Altair

Integrating Data with Knowledge Graphs: Why, What, and How?

Sean Martin I Vice President Software Engineering I Altair

In this 20-minute presentation, we explore the rationale behind integrating data with Knowledge Graphs, outline their fundamental concepts, and demonstrate practical implementation using Anzo. Join us to get an introduction to the transformative potential of this technology.

Panel Discussion: Transforming Engineering with AI: Insights and Innovations from Industry Leaders

Matt Smolka I Principal Engineer, Advanced Simulation I Lotus
Chris Wlezien I Senior Expert & Design Director, Engineering I McKinsey Design
Fatma Kocer I Vice President, Engineering Data Science I Altair

Design Track: AI-Driven Design for Innovation
APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track focuses on how AI can revolutionize the design process. Sessions will explore the following topics: 

  • Generative design with AI algorithms 
  • AI-powered optimization for performance and manufacturability 
  • Integrating AI with design tools for faster iteration 
  • Design for sustainability using AI-driven life ... Read More

Introduction

Keshav Sundaresh I Global Director of Product Management Digital Twin & MBSE I Altair

Future Prediction using Machine Learning in Product Production Management Data

Taro Yokomizo I Sr. Principal Digital Engineer, High Performance Computing Product Group I Renesas Electronics

Customer Presentation: John Deere

Ashish Jaiswal I Senior Staff Engineer - Advance Engineering I John Deere

Making Virtual Simulations more Efficient and Accurate with the use of Artificial Intelligence

Giuseppe Gullo I FEA Design Analysis Engineer I CNH Industrial

The use of artificial intelligence is changing virtual simulations, and this presentation will demonstrate how it is possible to speed them up and enhance their capabilities, also considering effects that were much more difficult to include.

Digital Twin for Damage Evaluation and Predictive Maintenance

Dheeraj Vemula I Business Development Manager, Digital Twins I Altair

Traditionally maintenance scheduling has been reactive leading to unnecessary costs and unexpected downtime. Predictive maintenance strategies can help companies be more proactive with their maintenance schedules. A digital twin that can provide timely insights about the state of health of the system is critical to such strategies. In this session we will talk about:

  • Creating digital twins with damage prediction capabilities.
  • Real-world use case of durability digital twins and the value they provide.
  • Integrating a digital twin strategy into ... Read More
Simulation Track: AI-Empowered Simulation to Accelerate Insights
APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track delves into how AI is transforming the simulation landscape. Sessions will cover: 

  • Integrating AI with traditional simulation tools for improved accuracy and efficiency 
  • Machine learning for predictive maintenance and failure prevention 
  • AI-powered virtual prototyping for early-stage design validation 
  • Real-time simulation ... Read More

Introduction

Fatma Kocer I Vice President, Engineering Data Science I Altair

Adaptation of PhysicAI for Faster Design Exploration

Jeevesh Prasoon I Sr. Engineer I Hero MotoCorp Ltd.

Building Prediction Models for the Oil Circulation Rate of Air Conditioning Compressors Using Knowledge Studio

Customer Presentation: Daikin

Breaking Boundaries: The Intersection of AI and Product Innovation with Altair One

Sridhar Ravikoti I Director, Product Management I Altair

Manufacturing Track: AI for Smart Manufacturing
APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track explores the impact of AI on manufacturing processes. Sessions will address: 

  • AI-powered optimization of production lines and resource allocation 
  • Implementing AI for quality control and defect detection 
  • Predictive maintenance using AI and sensor data 
  • Digital twins and AI ... Read More

Introduction

Ujwal Patnaik I Director, Product Strategy and Pricing I Altair

The way to Cut Down Rejection and Unplanned Downtime

Simon Backhaus I Director I Alcom

AI is too hard to implement for complicated manufacturing processes whereby 33 parameters affect the product quality, right?

Be ready to witness the first implementation of an AI-supported decision-making system in Malaysia’s foremost aluminum casting plant. The focus is on cutting down rejection and unplanned downtime by making sense of real-time sensor data. The optimum casting parameters are identified based on the collected historical data. And we do not stop here. In the long run the AI-supported decision-making system provides ... Read More

No Way Back: Machine Learning in the Age of Gen

Ingo Mierswa I Sr. Vice President, Product Development I Altair

Generative AI is all the hype, for sure. But is it justified? While many organizations are still getting used to all the new use cases which can be solved, Dr. Ingo Mierswa looks beyond that early phase of adoption in this presentation. He argues that Generative AI may in many instances mark the end of data science as we know it. There is no way back now: We will no longer train models if not needed. Model marketplaces will continue ... Read More

Real Time Part and Production Tracking for Aerospace Manufacturing

LaRue Brown I Vice President of Product Management I Altair

In the complex world of aerospace manufacturing, tracking parts and production assemblies is crucial to not only accelerating production but also discovering potential bottlenecks. In this session, we’ll dive into how you can monitor every step of the production process in real-time with Altair RapidMiner and Panopticon. Explore how the right AI tools can transform your operational oversight, streamline tracking, and improve decision-making in aerospace manufacturing.

AI Powered Smart, Safe and Sustainable Manufacturing

Sandeep Yadav I Regional Technical Manager, Data Analytics I Altair

Implementation of AI with smart manufacturing practices is creating significant transformations in the industry. AI is paving the way for sustainable manufacturing practices by enhancing efficiency and production, reducing waste and energy consumption, safe operations and improving quality control and maintenance. By integrating AI into their operations, manufacturers can not only improve their processes but also drive revenue, cut down costs, avoid risks and gain a competitive edge in the market. Accessible advanced self-service analytics, tightly integrated with manufacturing specific ... Read More

Thursday, June 20, 2024
Main Session: Generative AI for Transformative Engineering
Design Track: AI-Driven Design for Innovation
Simulation Track: AI-Empowered Simulation to Accelerate Insights
Manufacturing Track: AI for Smart Manufacturing
APAC/EMEA Session: 9:00 a.m. Paris I 12:30 p.m. Bangalore I 3:00 p.m. Shanghai I 4:00 p.m. Tokyo
AMER /LATAM Session: 9:00 am San Francisco I 11:00 a.m Chicago I 12:00 p.m New York

A visionary exploration of how genAI can unify and enhance the engineering life cycle. It’s a call to action for engineers to harness AI’s full potential in solving multifaceted engineering challenges. 

  • Unified AI Integration: Explore how Generative AI streamlines engineering workflows by combining design, simulation, and manufacturing. 
  • Sustainable Life Cycle Management: Learn how AI optimizes product lifecycles for ... Read More

Welcome Keynote: Engineer the Future: Your AI-Driven Odyssey Begins Here, Now!

Ravi Kunju I Chief Product and Strategy Officer I Altair

Ten Must-Haves When Choosing An Enterprise AI Platform

Mike Gualtieri I Vice President, Principal Analyst I Forrester

AI applications are essential, not just for companies that want to be at the cutting edge and differentiate from their customers, but for every enterprise. Technology teams supporting the enterprise’s AI ambitions can struggle to keep up with the pace of innovation and development, not to mention the increased collaboration required with their colleagues and the business across the application development lifecycle. To overcome this challenge, they turn to no-code/low-code AI platforms to support the entire complex and multistakeholder ... Read More

Fireside Chat: The State of Generative AI in the Enterprise: Now Decides Next

Stavros Stefanis I Principal Partner I Deloitte Consulting
Jeff Glueck I Senior Vice President, Strategic Relationships I Altair

Integrating Data with Knowledge Graphs: Why, What, and How?

Sean Martin I Vice President Software Engineering I Altair

In this 20-minute presentation, we explore the rationale behind integrating data with Knowledge Graphs, outline their fundamental concepts, and demonstrate practical implementation using Anzo. Join us to get an introduction to the transformative potential of this technology.

Panel Discussion: Transforming Engineering with AI: Insights and Innovations from Industry Leaders

Matt Smolka I Principal Engineer, Advanced Simulation I Lotus
Chris Wlezien I Senior Expert & Design Director, Engineering I McKinsey Design
Fatma Kocer I Vice President, Engineering Data Science I Altair

APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track focuses on how AI can revolutionize the design process. Sessions will explore the following topics: 

  • Generative design with AI algorithms 
  • AI-powered optimization for performance and manufacturability 
  • Integrating AI with design tools for faster iteration 
  • Design for sustainability using AI-driven life ... Read More

Introduction

Keshav Sundaresh I Global Director of Product Management Digital Twin & MBSE I Altair

Future Prediction using Machine Learning in Product Production Management Data

Taro Yokomizo I Sr. Principal Digital Engineer, High Performance Computing Product Group I Renesas Electronics

Customer Presentation: John Deere

Ashish Jaiswal I Senior Staff Engineer - Advance Engineering I John Deere

Making Virtual Simulations more Efficient and Accurate with the use of Artificial Intelligence

Giuseppe Gullo I FEA Design Analysis Engineer I CNH Industrial

The use of artificial intelligence is changing virtual simulations, and this presentation will demonstrate how it is possible to speed them up and enhance their capabilities, also considering effects that were much more difficult to include.

Digital Twin for Damage Evaluation and Predictive Maintenance

Dheeraj Vemula I Business Development Manager, Digital Twins I Altair

Traditionally maintenance scheduling has been reactive leading to unnecessary costs and unexpected downtime. Predictive maintenance strategies can help companies be more proactive with their maintenance schedules. A digital twin that can provide timely insights about the state of health of the system is critical to such strategies. In this session we will talk about:

  • Creating digital twins with damage prediction capabilities.
  • Real-world use case of durability digital twins and the value they provide.
  • Integrating a digital twin strategy into ... Read More
APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track delves into how AI is transforming the simulation landscape. Sessions will cover: 

  • Integrating AI with traditional simulation tools for improved accuracy and efficiency 
  • Machine learning for predictive maintenance and failure prevention 
  • AI-powered virtual prototyping for early-stage design validation 
  • Real-time simulation ... Read More

Introduction

Fatma Kocer I Vice President, Engineering Data Science I Altair

Adaptation of PhysicAI for Faster Design Exploration

Jeevesh Prasoon I Sr. Engineer I Hero MotoCorp Ltd.

Building Prediction Models for the Oil Circulation Rate of Air Conditioning Compressors Using Knowledge Studio

Customer Presentation: Daikin

Breaking Boundaries: The Intersection of AI and Product Innovation with Altair One

Sridhar Ravikoti I Director, Product Management I Altair

APAC/EMEA Session: 10:00 a.m. Paris I 1:30 p.m. Bangalore I 4:00 p.m. Shanghai I 5:00 p.m. Tokyo
AMER /LATAM Session: 10:00 am San Francisco I 12:00 p.m Chicago I 1:00 p.m New York

This track explores the impact of AI on manufacturing processes. Sessions will address: 

  • AI-powered optimization of production lines and resource allocation 
  • Implementing AI for quality control and defect detection 
  • Predictive maintenance using AI and sensor data 
  • Digital twins and AI ... Read More

Introduction

Ujwal Patnaik I Director, Product Strategy and Pricing I Altair

The way to Cut Down Rejection and Unplanned Downtime

Simon Backhaus I Director I Alcom

AI is too hard to implement for complicated manufacturing processes whereby 33 parameters affect the product quality, right?

Be ready to witness the first implementation of an AI-supported decision-making system in Malaysia’s foremost aluminum casting plant. The focus is on cutting down rejection and unplanned downtime by making sense of real-time sensor data. The optimum casting parameters are identified based on the collected historical data. And we do not stop here. In the long run the AI-supported decision-making system provides ... Read More

No Way Back: Machine Learning in the Age of Gen

Ingo Mierswa I Sr. Vice President, Product Development I Altair

Generative AI is all the hype, for sure. But is it justified? While many organizations are still getting used to all the new use cases which can be solved, Dr. Ingo Mierswa looks beyond that early phase of adoption in this presentation. He argues that Generative AI may in many instances mark the end of data science as we know it. There is no way back now: We will no longer train models if not needed. Model marketplaces will continue ... Read More

Real Time Part and Production Tracking for Aerospace Manufacturing

LaRue Brown I Vice President of Product Management I Altair

In the complex world of aerospace manufacturing, tracking parts and production assemblies is crucial to not only accelerating production but also discovering potential bottlenecks. In this session, we’ll dive into how you can monitor every step of the production process in real-time with Altair RapidMiner and Panopticon. Explore how the right AI tools can transform your operational oversight, streamline tracking, and improve decision-making in aerospace manufacturing.

AI Powered Smart, Safe and Sustainable Manufacturing

Sandeep Yadav I Regional Technical Manager, Data Analytics I Altair

Implementation of AI with smart manufacturing practices is creating significant transformations in the industry. AI is paving the way for sustainable manufacturing practices by enhancing efficiency and production, reducing waste and energy consumption, safe operations and improving quality control and maintenance. By integrating AI into their operations, manufacturers can not only improve their processes but also drive revenue, cut down costs, avoid risks and gain a competitive edge in the market. Accessible advanced self-service analytics, tightly integrated with manufacturing specific ... Read More