[Đánh giá] Mastering the Data Paradox: Key to Winning in the AI Age (Nitin Seth) Tóm tắt. episode artwork

EPISODE · Jul 27, 2026 · 8 MIN

[Đánh giá] Mastering the Data Paradox: Key to Winning in the AI Age (Nitin Seth) Tóm tắt.

from 9Natree Vietnam · host 9Natree

Mastering the Data Paradox: Key to Winning in the AI Age (Nitin Seth) - Amazon USA Store: https://www.amazon.com/dp/0143468030?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Mastering-the-Data-Paradox%3A-Key-to-Winning-in-the-AI-Age-Nitin-Seth.html - Apple Books: https://books.apple.com/us/audiobook/mastering-the-data-paradox-key-to-winning-in-the-ai/id1748958301?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree - eBay: https://www.ebay.com/sch/i.html?_nkw=Mastering+the+Data+Paradox+Key+to+Winning+in+the+AI+Age+Nitin+Seth+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Shopee: https://asia.buys.trade/shopee_Mastering-the-Data-Paradox-Nitin-Seth.html - Lazada: https://asia.buys.trade/lazada_Mastering-the-Data-Paradox-Nitin-Seth.html - Tiktok: https://asia.buys.trade/tiktok_Mastering-the-Data-Paradox-Nitin-Seth.html - Đọc thêm: https://vietnam.9natree.com/read/0143468030/ #Nghịchlýdữliệu #DữliệuHiểubiếtHànhđộngTácđộng #Khunggiảiphápthốngnhất #QuảntrịdữliệuchoAI #Đạođứcdữliệu #MasteringtheDataParadox Mastering the Data Paradox: Key to Winning in the AI Age là sách kinh doanh và công nghệ của Nitin Seth, viết về mối quan hệ giữa dữ liệu, chuyển đổi số và trí tuệ nhân tạo. Luận điểm trung tâm của sách là một nghịch lý rõ rệt, dữ liệu đang tăng nhanh chưa từng có, nhưng tổ chức vẫn thiếu những hiểu biết đủ rõ để đưa ra quyết định có giá trị. Vì vậy, dữ liệu tự thân không tạo ra lợi thế. Giá trị chỉ xuất hiện khi dữ liệu được tổ chức, diễn giải và chuyển thành hành động có tác động đo lường được. Dựa trên kinh nghiệm lãnh đạo trong lĩnh vực công nghệ, vận hành và chuyển đổi doanh nghiệp, Seth trình bày một cách tiếp cận thực dụng cho cá nhân và tổ chức. Cuốn sách không xem AI là lời giải độc lập, mà coi chất lượng, cấu trúc, quản trị và mục đích sử dụng dữ liệu là điều kiện nền tảng để AI hữu ích. Bên cạnh khía cạnh chiến lược và kỹ thuật, tác giả cũng đặt trọng tâm vào văn hóa dữ liệu, đạo đức, quyền riêng tư và trách nhiệm trong thời đại AI.

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