Panel discussion presented as part of Altair's Future.Industry 2024 conference.

Panelists:
Dr. Fatma Kocer | VP Engineering Data Science, Altair
Martin Ortega Breña | Design Manager, Mabe
Carlos Lopes | Director of Advanced Engineering - Americas, Maxion Wheels
Dr. Donald Harby | Data Science and Machine Learning Engineer (Data Scientist), John Deere
Carsten Buchholz | Project Engineer - Hybrid Electric Flight Demonstrator, Rolls Royce

Engineering processes are fast evolving to a new paradigm of hybrid physics and data-driven modeling. Despite the focus on algorithm development for data science, the real challenge in this evolution is identifying value-added use cases and collecting the necessary data. This panel comprises four domain experts who have successfully worked through this challenge in their respective industries. We will ask what value they have identified for data-driven engineering, how they proceeded with their projects, how successes are measured, and how they envision the future of engineering data science. We also have an opportunity to get feedback on what they found helpful from Altair's offerings and collect their thoughts to shape our products.

This webinar series addresses the needs and challenges of engineering leaders in product development, manufacturing, and operations. It will provide value to teams focusing on system digitization for durability & structural-health evaluation (OEMs and sup

Learn more on how generative design and AI can help break down data silos and extract actionable insights to drive real business value. Click to view the collection of presentations from the ATCx AI for Engineers 2024 virtual event.

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.