Michael Santos
ENPT

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01 · Current signal

What’s next in Google AI infrastructure: Scaling for the agentic era

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

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What’s next in Google AI infrastructure: Scaling for the agentic era
Cloud & AI

What’s next in Google AI infrastructure: Scaling for the agentic era

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

GC • Apr 22, 2026

GCPAnalytics EngineeringModern Data StackAI

What’s next in Google AI infrastructure: Scaling for the agentic era

AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in today’s agentic era require computing infrastructure designed and optimized for these new requirements. Today at Go...

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Topic cluster

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Implementation proofDirect match

GCP Modern Data Stack

A cloud-native analytics workflow that provisions BigQuery and storage with Terraform, ingests market data with Python, and tests warehouse models with dbt and GitHub Actions.

Analytics Engineering
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Implementation proofShared theme

Agentic Data Pipeline With MCP

A next-generation data pipeline where Claude-powered agents connected via Model Context Protocol autonomously detect schema changes, fix data quality issues, reroute failed load...

AI
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Implementation proofShared theme

Data Governance And Quality Framework

A production-grade framework that embeds data quality validation, contract enforcement, and governance checks into every layer of the data pipeline, from ingestion to mart deliv...

Analytics Engineering
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