Manufacturing requires quick solutions. To improve production, engineers need Al, machine learning, and big data analytics. They simplify complex issues and enable collaboration between humans and technology to make efficient, sustainable products that meet evolving user needs.
Recently, the 'Convergence of Design to Advance Manufacturing' webinar, powered by Manufacturing Today and presented by Autodesk, brought together industry experts to discuss making manufacturing safer, more efficient, and more precise.
A CUSTOMISED DIGITAL TRANSFORMATION
During the webinar, keynote speaker Arun D'souza, Country Manager of the Digital Manufacturing Group for India and ANZ at Autodesk, highlighted the omnipresence of Autodesk software in various industries. He emphasised the need for customisation of digital transformation to meet individual client needs and create value. D'souza pointed out the high failure rate of new products and the need for smart product creation, digitizing the process, and building a resilient supply chain. He suggested that companies with fully programmed systems for automation and data storage and a designer who understands manufacturing will thrive in the future.
AUGMENTING EACH STAGE WITH AI, MACHINE LEARNING AND BIG DATA ANALYTICS
The moderator for the webinar, Ashok Muthuswamy, Vice President, BE & TQM, TAFE, set the ball rolling by discussing the increased pressure of introducing new products on designers and engineers coupled with the scarcity of resources.
This story is from the May 2023 edition of Manufacturing Today.
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This story is from the May 2023 edition of Manufacturing Today.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 8,500+ magazines and newspapers.
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