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Architecting Agent-Ready Data Platforms. Building multi-modal data platforms for AI agents, RAG, and autonomous enterprise systems Maurizio Colleluori

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Architecting Agent-Ready Data Platforms. Building multi-modal data platforms for AI agents, RAG, and autonomous enterprise systems Maurizio Colleluori - okladka książki

Architecting Agent-Ready Data Platforms. Building multi-modal data platforms for AI agents, RAG, and autonomous enterprise systems Maurizio Colleluori - okladka książki

Architecting Agent-Ready Data Platforms. Building multi-modal data platforms for AI agents, RAG, and autonomous enterprise systems Maurizio Colleluori - audiobook MP3

Architecting Agent-Ready Data Platforms. Building multi-modal data platforms for AI agents, RAG, and autonomous enterprise systems Maurizio Colleluori - audiobook CD

Autor:
Maurizio Colleluori
Ocena:
For years, data platforms were built for analysts reading dashboards and ML models consuming flat features. To power AI, organizations must shift from passive dashboards to autonomous, real-time decisions. AI agents need live context, multi-modal data, governed knowledge, and trusted system access. Traditional ETL creates lag, while fragmented platforms stop safe reasoning.
Architecting Agent-Ready Data Platforms gives you a blueprint for evolving legacy infrastructure into an active, agent-ready platform. You will learn to unlock enterprise knowledge by breaking silos and enabling agents to analyze text, documents, media, relational data, graphs, and operational signals in a multi-modal lakehouse. The book shows how to replace ambiguity with reliable AI responses by embedding business logic into knowledge graphs, metadata, and context layers that reduce hallucination.
You will explore modernizing batch pipelines into real-time flows, exposing governed data through secure context interfaces, and designing centralized agentic governance. By bringing AI models closer to trusted data and processing AI where the data lives, you can reduce cost, limit leakage, and support outcomes. By the end of the book, you'll be able to retrofit legacy stacks into secure, scalable, multi-modal platforms that power production-ready AI agents.

O autorze książki

Maurizio Colleluori is a seasoned Data and AI Architect at Google Cloud Consulting, specializing in enterprise operating models and digital evolution. He currently serves as the Practice Lead for Data Architecture and Governance for Google Cloud EMEA. He works directly with global organizations to resolve the friction between multi-agent system orchestration and foundational data infrastructure. Based in Italy, Maurizio is dedicated to helping enterprise leaders retrofit legacy platforms into active ecosystems that power secure, scalable, and autonomous AI agents.

Packt Publishing - inne książki

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