ATCx AI for Engineers 2024

June 20, 2024
Global Virtual Event

  • Days
  • Hours
  • Minutes
  • Seconds
junho 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. 

100 Use Cases for AI-Powered Engineering Revealed

The future of engineering is powered by AI. Simulations once requiring 24 hours can now be done in seconds, allowing you to dramatically expand the “testable” confines of a challenge in a shorter time. Want to know how?

Join this event to find out more about first of 100 real-world use cases of AI-powered engineering. From concept to reality, see how AI transforms processes from design to simulation to manufacturing for peak efficiency, accuracy, and innovation.

Everything Solvable. Ask anything. Solve everything.

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 IRnow 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
Carlo Pestelli
Carlo Pestelli Wartsila R&D Manager, Noise & Vibration
Taro Yokomizo
Taro Yokomizo Renesas Electronics Sr. Principal Digital Engineer, High Performance Computing Product Group
Giuseppe Gullo
Giuseppe Gullo CNH Industrial FEA Design Analysis Engineer
Kazuki Sakurai
Kazuki Sakurai Daikin
Martin Ortega
Martin Ortega Mabe Design Leader
Federico D'amico
Federico D'amico Leonardo Corporate Digital Engineering Specialist
Ingo Mierswa
Ingo Mierswa Altair Sr. Vice President, Product Development
Sean Martin
Sean Martin Altair Chief Scientist, Graph Technology
Jeff Glueck
Jeff Glueck Altair Sr. Vice President, Consulting GSI Channel Management
LaRue Brown
LaRue Brown Altair Senior Director, Data Solutions
Andrew Baldwin
Andrew Baldwin Altair Vice President, Data Analytics & AI
 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
Christian Kehrer
Christian Kehrer Altair Business Development Director – Systems Integration & Digital Twin
 Gregory West
Gregory West Altair Lead Solutions Specialist
Dheeraj Vemula
Dheeraj Vemula Altair Business Development Manager, Digital Twins
Sandeep Yadav
Sandeep Yadav Altair Regional Technical Manager, Data Analytics
Shubhamkar Kulkarni
Shubhamkar Kulkarni Altair Product Specialist
Sean Lang
Sean Lang Altair Data Strategist
Mike Gualtieri
Mike Gualtieri Forrester Vice President, Principal Analyst
Stavros Stefanis
Stavros Stefanis Deloitte Principal, Product Engineering & Development
Simon Backhaus
Simon Backhaus IRnow 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
Carlo Pestelli
Carlo Pestelli Wartsila R&D Manager, Noise & Vibration
Taro Yokomizo
Taro Yokomizo Renesas Electronics Sr. Principal Digital Engineer, High Performance Computing Product Group
Giuseppe Gullo
Giuseppe Gullo CNH Industrial FEA Design Analysis Engineer
Kazuki Sakurai
Kazuki Sakurai Daikin
Martin Ortega
Martin Ortega Mabe Design Leader
Federico D'amico
Federico D'amico Leonardo Corporate Digital Engineering Specialist
Ingo Mierswa
Ingo Mierswa Altair Sr. Vice President, Product Development
Sean Martin
Sean Martin Altair Chief Scientist, Graph Technology
Jeff Glueck
Jeff Glueck Altair Sr. Vice President, Consulting GSI Channel Management
LaRue Brown
LaRue Brown Altair Senior Director, Data Solutions
Andrew Baldwin
Andrew Baldwin Altair Vice President, Data Analytics & AI
 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
Christian Kehrer
Christian Kehrer Altair Business Development Director – Systems Integration & Digital Twin
 Gregory West
Gregory West Altair Lead Solutions Specialist
Dheeraj Vemula
Dheeraj Vemula Altair Business Development Manager, Digital Twins
Sandeep Yadav
Sandeep Yadav Altair Regional Technical Manager, Data Analytics
Shubhamkar Kulkarni
Shubhamkar Kulkarni Altair Product Specialist
Sean Lang
Sean Lang Altair Data Strategist

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 to the Event

Sean Lang I Data Strategist I Altair

Altair Keynote

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

This recent survey encapsulates the sentiments of 2,835 business and technology leaders engaged in piloting or implementing generative AI within their organizations. Join Stavros Stefanis, Principal Partner at Deloitte Consulting, and Jeff Glueck, Senior Vice President, Strategic Relationships, as they delve into insights from the survey. Gain clarity in navigating this rapidly evolving landscape, receive practical guidance derived from accumulated knowledge, and explore strategies for embracing a forward-looking approach to integrating generative AI into your product development business’s future.

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

Sean Martin I Chief Scientist, Graph Technology I Altair
Gregory West I Lead Solutions Specialist 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

Moderated by Sean Lang I Data Strategist I Altair
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

Join us for an insightful panel discussion featuring leading experts in the fields of Artificial Intelligence and Engineering. They will share their journeys to becoming AI leaders, discuss the transformative potential of AI in the engineering industry, and provide real-world examples of AI implementation in projects. The panellists will address the biggest challenges faced when integrating AI and share strategies for overcoming them. Additionally, they will highlight the new skills engineers and engineering leaders need to develop to work effectively ... Read More

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

Real Time Data-driven Digital Twins in Structural Dynamics

Carlo Pestelli I R&D Manager, Noise & Vibration I Wartsila

Modern simulation tools and powerful computational hardware are enabling today an entire new way of thinking in machinery design. Acquiring more information from the machinery with various sensors, and feeding those to precise predictive models, allow unprecedent possibility for machinery performance and ways of making business with it.

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

During the last pandemic, majority of global manufactures companies including semiconductor industry had impacted huge production and shipping problems. Before the pandemic, it could have been just pain points not monitoring product production and shipping by BI dashboard to understand the current and future status. To overcome the situation, Renesas has made product production and shipping management platform including monitoring and future prediction using AI/Machine Learning technology, no longer just a nice-to-have solution.

Functional Integration of Actuated Mechanisms

Christian Kehrer I Business Development Director – Systems Integration & Digital Twin I Altair

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

Lacie Feller I Lead Application Engineer I Altair

Adaptation of PhysicAI for Faster Design Exploration

Jeevesh Prasoon I Sr. Engineer I Hero MotoCorp Ltd.

AI-based ROM to Expedite the Study of Aeroelastic Coupling

Federico D’amico I Digital Engineering Specialist I Leonardo Corporate

Digital Twin is becoming an invaluable asset for any company due to the benefits it can offer. Data is the key factor to make Digital Twin feasible. This data can be either simulated or experimental, depending on the phase of the project: in the initial stage (e.g. PDR), only simulated data is available. The presentation aims to show how Leonardo is pursuing the mission of building a FEM and CFD digital twin, creating a co-simulation environment that predicts root-section loads ... Read More

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

Kazuki Sakurai I Daikin

Developing Sustainability with Artificial Intelligence

Martin Ortega I Design Leader I Mabe

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

Sridhar Ravikoti I Director, Product Management I Altair

physicsAI - AI for Design Evaluation

Shubhamkar Kulkarni I Product Specialist I Altair

In this session, we give an overview of how Altair physicsAI has delivered powerful results in a variety of domains including structural, crash and CFD applications. physicsAI can train using past simulation data, which usually get discarded, and even learn from existing physicsAI models, reducing the solver time spent on data generation. Once trained, physicsAI models can be easily shared as a single file which can then be deployed to make predictions on new CAD or mesh models with great ... Read More

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 IRnow

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 Senior Director, Data Solutions, Growth Accounts I Altair
Andrew Baldwin I Vice President, Data Analytics & AI 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 to the Event

Sean Lang I Data Strategist I Altair

Altair Keynote

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

This recent survey encapsulates the sentiments of 2,835 business and technology leaders engaged in piloting or implementing generative AI within their organizations. Join Stavros Stefanis, Principal Partner at Deloitte Consulting, and Jeff Glueck, Senior Vice President, Strategic Relationships, as they delve into insights from the survey. Gain clarity in navigating this rapidly evolving landscape, receive practical guidance derived from accumulated knowledge, and explore strategies for embracing a forward-looking approach to integrating generative AI into your product development business’s future.

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

Sean Martin I Chief Scientist, Graph Technology I Altair
Gregory West I Lead Solutions Specialist 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

Moderated by Sean Lang I Data Strategist I Altair
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

Join us for an insightful panel discussion featuring leading experts in the fields of Artificial Intelligence and Engineering. They will share their journeys to becoming AI leaders, discuss the transformative potential of AI in the engineering industry, and provide real-world examples of AI implementation in projects. The panellists will address the biggest challenges faced when integrating AI and share strategies for overcoming them. Additionally, they will highlight the new skills engineers and engineering leaders need to develop to work effectively ... 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 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

Real Time Data-driven Digital Twins in Structural Dynamics

Carlo Pestelli I R&D Manager, Noise & Vibration I Wartsila

Modern simulation tools and powerful computational hardware are enabling today an entire new way of thinking in machinery design. Acquiring more information from the machinery with various sensors, and feeding those to precise predictive models, allow unprecedent possibility for machinery performance and ways of making business with it.

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

During the last pandemic, majority of global manufactures companies including semiconductor industry had impacted huge production and shipping problems. Before the pandemic, it could have been just pain points not monitoring product production and shipping by BI dashboard to understand the current and future status. To overcome the situation, Renesas has made product production and shipping management platform including monitoring and future prediction using AI/Machine Learning technology, no longer just a nice-to-have solution.

Functional Integration of Actuated Mechanisms

Christian Kehrer I Business Development Director – Systems Integration & Digital Twin I Altair

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

Lacie Feller I Lead Application Engineer I Altair

Adaptation of PhysicAI for Faster Design Exploration

Jeevesh Prasoon I Sr. Engineer I Hero MotoCorp Ltd.

AI-based ROM to Expedite the Study of Aeroelastic Coupling

Federico D’amico I Digital Engineering Specialist I Leonardo Corporate

Digital Twin is becoming an invaluable asset for any company due to the benefits it can offer. Data is the key factor to make Digital Twin feasible. This data can be either simulated or experimental, depending on the phase of the project: in the initial stage (e.g. PDR), only simulated data is available. The presentation aims to show how Leonardo is pursuing the mission of building a FEM and CFD digital twin, creating a co-simulation environment that predicts root-section loads ... Read More

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

Kazuki Sakurai I Daikin

Developing Sustainability with Artificial Intelligence

Martin Ortega I Design Leader I Mabe

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

Sridhar Ravikoti I Director, Product Management I Altair

physicsAI - AI for Design Evaluation

Shubhamkar Kulkarni I Product Specialist I Altair

In this session, we give an overview of how Altair physicsAI has delivered powerful results in a variety of domains including structural, crash and CFD applications. physicsAI can train using past simulation data, which usually get discarded, and even learn from existing physicsAI models, reducing the solver time spent on data generation. Once trained, physicsAI models can be easily shared as a single file which can then be deployed to make predictions on new CAD or mesh models with great ... 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 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 IRnow

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 Senior Director, Data Solutions, Growth Accounts I Altair
Andrew Baldwin I Vice President, Data Analytics & AI 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