Altair's Jaideep Bangal Discusses DesignAI and AI Driven Engineering
Discover more from Bits to Atoms
Altair's Jaideep Bangal Discusses DesignAI and AI Driven Engineering
CDFAM Expert Speaker Series
The integration of Artificial Intelligence (AI) into the engineering, additive manufacturing, and overall manufacturing industry is on a steady rise, predominantly focusing on enhancing production, QA and process optimization.
However, the progression has been somewhat slower in the design facet of engineering (+ DfAM), largely due to an absence of suitable software tools and data.
With a rich history in pioneering simulation-driven design, Altair is strategically poised to take the lead in the realm of AI-driven design, underpinned by their commitment to a data-first approach.
At the forthcoming CDFAM Computational Design (+DfAM) Symposium, Jaideep Bangal, Altair's Director of Simulation Driven Design and Manufacturing, will be introducing Altair's DesignAI. Here's a glimpse into his contributions at Altair and what to look forward to from his upcoming presentation at CDFAM in NYC June 14-15.
Tell us about your role at Altair, the products you have worked on in the past and are currently working on, along with an overview of your responsibilities and areas of focus within the company.
As the leader of a global team of experts at Altair, I focus on technical sales and strategy for simulation-driven design and manufacturing solutions.
My team helps engineers implement advanced design and manufacturing methods during product development to generate efficient designs while predicting and fixing manufacturing problems.
With my expertise in simulation, generative design, manufacturing, additive manufacturing, and computational fluid dynamics (CFD), I have worked on many products that have helped organizations improve their design and manufacturing processes.
These products include Altair® Inspire™, Altair SimSolid®, and, more recently, Altair® DesignAI™.
DesignAI is an artificial intelligence (AI)- and simulation-driven design tool. It combines physics-based, simulation-driven, and machine learning-based designs to create high-potential designs earlier in development cycles.
Read the full interview with Jaideep Bangal on The Challenges of Using AI in Computational Engineering on the CDFAM Event Site.
Relevant Articles
