menu
{ "item_title" : "AI-Driven Intelligent Systems", "item_author" : [" Pankaj Kumar "], "item_description" : "This book discusses the role of Artificial Intelligence, Generative AI, and Large Language Models (LLMs) in transforming modern industrial ecosystems, particularly within the framework of Industry 5.0. It highlights how AI technologies enable human-machine collaboration, intelligent automation, predictive analytics, and improved decision-making across sectors such as manufacturing, healthcare, and supply chain management. The chapter explains key applications including predictive maintenance, generative design, workforce training, and smart logistics supported by IoT, big data, and cloud platforms. It also addresses important challenges such as data privacy, ethical concerns, system integration, and workforce readiness. Overall, the work emphasizes that responsible and sustainable deployment of AI and LLMs can enhance productivity, innovation, and operational efficiency while maintaining a human-centric industrial environment.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/993/603/6209936032_b.jpg", "price_data" : { "retail_price" : "77.00", "online_price" : "77.00", "our_price" : "77.00", "club_price" : "77.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI-Driven Intelligent Systems|Pankaj Kumar

AI-Driven Intelligent Systems

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book discusses the role of Artificial Intelligence, Generative AI, and Large Language Models (LLMs) in transforming modern industrial ecosystems, particularly within the framework of Industry 5.0. It highlights how AI technologies enable human-machine collaboration, intelligent automation, predictive analytics, and improved decision-making across sectors such as manufacturing, healthcare, and supply chain management. The chapter explains key applications including predictive maintenance, generative design, workforce training, and smart logistics supported by IoT, big data, and cloud platforms. It also addresses important challenges such as data privacy, ethical concerns, system integration, and workforce readiness. Overall, the work emphasizes that responsible and sustainable deployment of AI and LLMs can enhance productivity, innovation, and operational efficiency while maintaining a human-centric industrial environment.

This item is Non-Returnable

Details

  • ISBN-13: 9786209936036
  • ISBN-10: 6209936032
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.25 inches
  • Shipping Weight: 0.33 pounds
  • Page Count: 104

Related Categories

You May Also Like...

    1

BAM Customer Reviews