Future.Industry 2023 UPDATED AGENDA & SPEAKERS
Altair EmployeeAt Future.Industry 2023, we’ll explore the latest megatrends impacting our world. From electrification and the data-driven enterprise to AI-driven simulation and semiconductors, you’ll learn how the convergence of simulation, high-performance computing (HPC), and AI can unlock the full potential of your technology investments.
Day 1: Demystifying the Future
Day 1 we will explore the latest megatrends impacting our world. From electrification and the data-driven enterprise to AI-driven simulation and semiconductors, you’ll learn how the convergence of simulation, high-performance computing (HPC), and AI can unlock the full potential of your technology investments.
Our speakers will include Sheryl Connelly, a leading futurist and consumer trends expert and former Chief Futurist for Ford, Sandy Carter, Senior Vice President and Channel Chief of Unstoppable Domains, Dr. Vikram Shyam, Futurist for the NASA Glenn Research Center, Dr. Carlo Cavazzoni, SVP Cloud Computing and Director of the HPC Lab for Leonardo, and Hod Lipson, Professor of Engineering and Data Science at Columbia University.
Day 2: Digital Twins, Frictionless AI, Data-Driven Engineering, Next-Level HPC, and More
Dive into the details on every aspect of data analytics, high performance computing, and the future of AI on Day 2. In addition to a keynote talk by Altair CTO Sam Mahalingam, we will break into three parallel tracks, including Frictionless AI, Engineering the Future and Next-level HPC.
Frictionless AI | Operationalize Data and Analytics
Friction can be a big problem when engineers validate components for cars or planes. But it can be just as much of an issue when you are trying to use data to improve your business. Instead of high temperatures and grinding gears, friction in data analytics can lead to failed projects, wasted money, and unnecessary work. Organizations implementing data analytics solutions can have friction between departments and people, technical friction between tools and vendors, or financial friction between aspiration and reality. Often, it is all three. In this track, dive into these big challenges and explore how to overcome them with careful thinking and holistic solutions, equal parts organizational education, technology acceleration, and all-around flexibility.
FEATURED PRESENTATIONS
Altair + RapidMiner Means Frictionless AI: AI can do some fascinating things like write code and movie scripts for us. But the AI honeymoon is over and many organizations are still far from the dream enterprise. The reality is most invest in AI and there’s very little to show for it. The reason? Friction: organizational, technical, and financial. Hear Dr. Ingo Mierswa explain how the combination of Altair and RapidMiner removes the friction between people and data and enables you to unleash the full potential of AI within your organization.
Be Future Fit With Data And Analytics: Hear Martha Bennett, VP and Principal Analyst at Forrester, explain how leading firms are using data and analytics to reduce risk and improve corporate performance. Learn what impending and potential AI regulations mean for banks, insurers, and other financial services operations. Gain insight into how a solid data and analytics foundation can become your key to agility and innovation.
Development of Data-driven Platform for Structural Reliability Verification: Doodong Kim, Senior Researcher for Vehicle Component Solutions at LG Electronics will describe how you can apply machine learning in the CAD/CAE field. Understand the criticality of highly reliable performance prediction systems to the development process and efficient ways to perform design verification using machine learning algorithms trained with CAE data.
Business Impacting Analytics: In this session, you will learn why driving business impact from data analytics requires a different mindset and approach from more traditional engineering processes. Dr. Satyam Sahay, John Deere Fellow and Head of Advanced Engineering for the John Deere Enterprise Technology & Engineering Center, will share what he has learned over the past 25 years on the value of leveraging engineering knowledge, differentiating causality and correlation, scaling up analytics solutions, and building analytics competency within product engineering teams.