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The Imminent AI-Driven Manufacturing Transformation Highlighted by Expert Bidyut Sarkar

by Sarkiya Ranen
in Politics
The Imminent AI-Driven Manufacturing Transformation Highlighted by Expert Bidyut Sarkar
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Pic: Bidyut Sarkar

Imagine an AI-orchestrated production process consisting of humans and machines coordinating with mesmerizing fluidity. This efficient, hyper-automated view of the imminent manufacturing transformation recently captivated audiences during Bidyut Sarkar’s industry outreach seminar at Columbia University Data Science Institute. The industry expert outlined a vision for an extraordinary shift underway as data-fueled technologies digitally reinvent the future of making with unprecedented scale, speed, and customizability.

In exploring scalable applications, Sarkar has examined innovative use cases like utilizing generative AI capabilities to advance industrial supply chain processes. His recent work examines the potential of AI models in transforming logistics planning. Using technology tools to create route options or visualizations for tracking, he aims to improve efficiency in the supply chain.

Several leading enterprises are piloting these Gen-AI-enabled planning tools after early results demonstrated over 90% accuracy in predicting delivery timelines and massive reductions in lead time through dynamically customized freight route planning. The early success promises growing validation of generative AI’s immense potential, with multiple solution deployments already underway among leading enterprises.

Sarkar actively shares his thought leadership on assimilating AI and emerging technologies through prolific writing. His insightful comments on the industry’s adoption of artificial intelligence have been widely published in major trade journals worldwide.

Notably, his recent articles exploring the AI applications in the industry were featured on Swiss Cognitive – the world’s leading AI network community based in Switzerland. The articles on topics like “AI-Powered Predictive Maintenance in Advanced Manufacturing” and “Conversational AI on Manufacturing Floors with NLP-Enabled Assistants” have also been published by Swiss Cognitive, highlighting the crucial role of human-AI collaboration and data-driven strategies in driving efficiency. Such platforms frequently quote Sarkar as an authority on exponential technology transformation trends reshaping industrial production.

Sarkar has an upcoming book titled “AI for Advanced Manufacturing and Industrial Applications,” slated for publication in 2024 by O’Reilly Media a leading global publisher for emerging technologies. O’Reilly is renowned for its definitive guides to cutting-edge innovations spanning artificial intelligence, machine learning, data science, and more. The release of Sarkar’s book by this renowned publisher promises to showcase the responsible and ethical development of AI, specifically targeting process improvements for industrial manufacturers worldwide. His vision to guide enterprises, executives, and even policymakers through structured frameworks on leveraging AI marks a timely contribution as global supply chains accelerates technology adoption to gain competitive advantages.

“The factories of tomorrow will look entirely different,” explains industry expert Bidyut Sarkar. “Production lines will be significantly reshaped through exponential technologies like artificial intelligence, adaptive robotics, and smart autonomous systems that optimize speed, precision, and throughput.”

“Imagine production lines with lightning reflexes, powered by AI systems to enable smooth coordination between workers and machines,” Sarkar described. “The data-fueled factories of the future will enable mass customization and on-demand production through flexible reconfiguration with shifting demand patterns.”

He explains how organizations use data to power advanced machine-learning algorithms and autonomous control. “Once trained over vast datasets, the algorithms guide coordinating systems to seamlessly adapt production – rapidly switching between product variants by adjusting manufacturing processes, reassigning human teams, and recalibrating quality control processes in real-time.”

The AI-integrated new work environment promises increased efficiency, sustainability, and precision. Sarkar highlights how interconnected controls create a ‘digital thread,’ aligning the sequence of activities in an integrated supply chain process based on customer specifications. Accordingly, by gathering the right requirements and utilizing prototyping tools, they expertly fabricate bespoke products that match individual preferences.

“This hyper-automated environment also promises vast advances reducing waste through AI-guided manufacturing systems, thereby preventing overproduction and optimizing just-in-time manufacturing processes.” Sarkar describes a system proactively positioning inventory while predicting potential defects even faster-using computer vision-based advanced AI systems. “By reducing waste and enabling granular customization aligned to customer needs, the data-enabled factories of the imminent future promise unprecedented resource efficiency.”

The adoption of an immersive metaverse in the production environment unlocks powerful new capabilities. Engineers can manipulate virtual prototypes through digital twins and simulate candidate configurations to finalize ideal parameters before physical production. AI recommends design tweaks for performance optimization. Sarkar explains how the fusion of physical and digital also enhances safety – VR simulations help operators skill up without risks, and the emphasis shifts towards monitoring versus hazardous activities.

In addition, Sarkar outlined key focus areas for responsible adoption. He emphasized upholding accountability and ethics through internal governance boards overseeing new technology assimilation. Frequent AI system audits can mitigate AI model bias while boosting model interpretability to maintain user trust.

While exponential technologies like AI, robotics, and immersive metaverse can significantly transform manufacturing processes, Sarkar believes humans remain integral to steering these automated systems judiciously. “Though AI and autonomous control promise immense efficiency improvements, we must reinforce oversight and continually align advancement to ensure responsible innovation.” Through his publication initiatives related to cutting-edge technologies, Bidyut Sarkar continues to contribute to the adoption of these emerging technological capabilities in the manufacturing processes worldwide. As the future of manufacturing undergoes rapid transformation through the Fourth Industrial Revolution, experts like him help economies balance advancement and ethics to build the hyper-powered, hyper-efficient, and sustainable production ecosystems of tomorrow.



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Tags: AIAI-Powered Predictive Maintenance in Advanced ManufacturingAIDrivenBidyutBidyut SarkarExpertHighlightedImminentManufacturingNLP-Enabled AssistantsOSarkarSwiss CognitiveTransformation
Sarkiya Ranen

Sarkiya Ranen

I am an editor for Ny Journals, focusing on business and entrepreneurship. I love uncovering emerging trends and crafting stories that inspire and inform readers about innovative ventures and industry insights.

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