Building Next-Gen Esg Platforms with Iot and AI for Sustainable Development Goals
暫譯: 利用物聯網和人工智慧建構下一代ESG平台以實現可持續發展目標

Vuppalapati, Chandrasekar

Building Next-Gen Esg Platforms with Iot and AI for Sustainable Development Goals
  • 出版商: CRC
  • 出版日期: 2026-03-05
  • 售價: $7,940
  • 貴賓價: 9.8 折 $7,781
  • 語言: 英文
  • 頁數: 308
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032856076
  • ISBN-13: 9781032856070
  • 相關分類: DeepLearning、Maker

    • 海外代購書籍(需單獨結帳)

商品描述

This book delivers a practical blueprint for applying AI, IoT, and advanced analytics to drive measurable ESG outcomes. It covers machine learning, deep learning, generative AI, and fast language models for edge use, with benchmarks like MMLU, GPQA, and MGSM. Step-by-step guides teach ESG IoT model building, neural network fine-tuning, and RAG implementations. Application chapters span IoT-enabled GHG monitoring, methane/rumination tracking with Class 10 sensors, and AI for remote farming. Real-world case studies and deployment pipelines provide innovators, policymakers, and leaders with a cross-disciplinary framework aligned to UN Sustainable Development Goals.

商品描述(中文翻譯)

這本書提供了一個實用的藍圖，旨在應用人工智慧（AI）、物聯網（IoT）和先進分析來推動可衡量的環境、社會及治理（ESG）成果。內容涵蓋機器學習、深度學習、生成式AI以及邊緣使用的快速語言模型，並包含MMLU、GPQA和MGSM等基準測試。逐步指南教導如何建立ESG物聯網模型、微調神經網絡以及實現RAG。應用章節涵蓋了物聯網驅動的溫室氣體（GHG）監測、使用Class 10感測器進行甲烷/反芻追蹤，以及用於遠程農業的AI。真實案例研究和部署管道為創新者、政策制定者和領導者提供了一個跨學科的框架，與聯合國可持續發展目標相一致。

作者簡介

Chandrasekar Vuppalapati is a Software Principal Architect, CTO, Executive, Entrepreneur, Industrialist, and Educator with expertise in Enterprise Software Architectures, Cloud Computing, Artificial Intelligence, Machine Learning, Data Analytics, IoT, and Product Management. Since1994, he has built a distinguished career in technology leadership, consulting, and innovation. He holds a master's in software engineering from San José State University and an MBA from Santa Clara University.

Chandra has held senior leadership roles at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Bell Labs, while consulting for Deloitte, PwC, Johnson & Johnson, T-Mobile, State Street Bank, Humana, Kroger, Verizon, Shell and BP. Since 2013, he has taught graduate courses in Software Engineering, Cloud Technologies, and Data Science at San José State University while advising Cisco, Lam Research, and others. As Principal Investigator for the Valley School of Nursing, he pioneered Virtual Reality-based healthcare education. Chandra leads global initiatives in Agriculture Analytics, Dairy Analytics, Specialty Crops Analytics, and Class-10 Wearable Veterinary Sensors, including the Sriya AgriVet Monitor, advancing IoT-driven ESG solutions for farmers worldwide. Under his leadership, Hanumayamma Corp (an initiative by Chandra) earned the Fast Company Innovation by Design Award (2023), presented its products at SPACE 2025 in Rennes, France and secured USPTO trademarks. A decorated innovator, Chandra won the US National IEEE Voice Data Challenge (2018) and has published over 29 IEEE papers along with several books on AI, IoT, agriculture, and food security. He has also served as editor and chair for major IEEE conferences across the US and Europe.

作者簡介(中文翻譯)

Chandrasekar Vuppalapati 是一位軟體首席架構師、首席技術官、執行官、企業家、工業家及教育者，專長於企業軟體架構、雲端運算、人工智慧、機器學習、數據分析、物聯網及產品管理。自1994年以來，他在技術領導、顧問及創新方面建立了卓越的職業生涯。他擁有聖荷西州立大學的軟體工程碩士學位及聖克拉拉大學的工商管理碩士學位。

Chandra曾在微軟、GE Healthcare、思科系統、聖猶達醫療及盧森特貝爾實驗室擔任高級領導職位，同時為德勤、普華永道、強生、T-Mobile、州街銀行、Humana、克羅格、威瑞森、殼牌及BP提供顧問服務。自2013年以來，他在聖荷西州立大學教授軟體工程、雲端技術及數據科學的研究生課程，並為思科、Lam Research等公司提供諮詢。作為谷谷護理學校的首席研究員，他開創了基於虛擬實境的醫療教育。Chandra領導全球農業分析、乳製品分析、特種作物分析及第10類可穿戴獸醫傳感器的倡議，包括Sriya AgriVet Monitor，推進全球農民的物聯網驅動的ESG解決方案。在他的領導下，Hanumayamma Corp（Chandra的倡議）獲得了《Fast Company》2023年設計創新獎，並在法國雷恩的SPACE 2025展示其產品，並獲得了美國專利商標局的商標。作為一位獲獎的創新者，Chandra贏得了2018年美國國家IEEE語音數據挑戰賽，並發表了超過29篇IEEE論文以及幾本關於人工智慧、物聯網、農業及食品安全的書籍。他還曾擔任美國及歐洲主要IEEE會議的編輯及主席。

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