NFO
_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
-.-. .... .- .--. - . .-. - .-- . -. - -.-- --- -. .
________ ________ ________ ________ ________ ________ ________
/ / / / / / / /
/ / / / / / /_ _/ / / / /
/ __/ / / __// // __/ __/
\_______/_\___/____/\___/____/\______/___\______/_\_______/ \___/___/
/ / / / / / / / / /
/_ _/ / / / /_ _/ /
/ // / __/ // / \__ /
\______/_\________/\_______/_\__/_____/ \______/ \_____/
/ / / /
/ / / / / /
/ / / __/ -- C H A P T E R T W E N T Y O N E --
\________/\__/_____/\_______/
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
O'Reilly Media, Inc
Navnit Shukla
AI-Ready Data Blueprints
N/A
2026
_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
Publisher > O'Reilly Media, Inc
Author > Navnit Shukla
Title > AI-Ready Data Blueprints
Issue > N/A
Year > 2026
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
ISBN > 9798341631793
Pages > 422
Genre > Data-Engineering
Language > English
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
Type > RETAIL
Media > Book
Format > .EPUB
Section > eBook
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
Published > 2026-05
Release > 2026-05-30
Disks > 02*5.0MB
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
https://bookshop.org/p/books/ai-ready-data-blueprints-from-raw-data-to-ai-
driven-innovation-harsha-tadiparthi/26bb902fc19c052a
Companies innovating with generative AI understand that having the right data
foundation is critical for success and profitability. To best position
themselves for long-term success, organizations must prioritize investments in
data and AI governance. AI-Ready Data Blueprints is your map to connecting data
strategy, GenAI, and ethical practices to build and scale truly effective
solutions. Taking a comprehensive, cloud-agnostic approach focused on real-world
business challenges, seasoned data and AI experts Navnit Shukla, Kien Pham,
Srikanth Sopirala, and Harsha Tadiparthi share actionable insights to guide you
in designing and implementing effective data-centric GenAI systems. Whether
you're new to GenAI or are already focusing on optimizing it for accuracy,
speed, or both, the principles shared in this book will empower you to excel in
all your AI endeavors. Identify the key elements of a solid data foundation for
generative AI Apply data governance and orchestration techniques to ensure high
data quality, access control, and proper data lineage for reliable AI systems
Optimize GenAI applications through prompt engineering, fine-tuning, and
retrieval-augmented generation Implement security, compliance, and governance
measures, including responsible AI practices, transparency, and more
_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
- --- - - -- [ C H A P T E R T W E N T Y O N E ] -- - - --- -
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
-.-. .... .- .--. - . .-. - .-- . -. - -.-- --- -. .
CRC32: 29cdff9db5b9ddd468fbe740c3ad54016bee7185