BigQuery's momentum: 5X customers, unified AI & data

🚀 Powering Scalable Innovation with Google Cloud Platform (GCP) Over the past few months, I’ve been working extensively on Google Cloud—and it’s impressive how GCP brings together scalability, performance, and simplicity across modern data and application platforms. Here are a few highlights from recent implementations: ☁️ BigQuery – delivering lightning-fast analytics on terabytes of data, enabling real-time business insights. ⚙️ Dataflow + Pub/Sub – seamless data streaming and ETL processing for event-driven architectures. 🔐 Cloud IAM + VPC Service Controls – ensuring enterprise-grade security and compliance across environments. 🧠 Vertex AI – unlocking smarter data products through integrated ML lifecycle management. GCP is proving that with the right architecture, you can scale data pipelines, modernize workloads, and keep costs optimized — all while maintaining flexibility and control. If you’re exploring data modernization, AI integration, or cloud-native transformations, GCP provides a strong foundation to build on. #GoogleCloud #GCP #DataEngineering #CloudComputing #BigQuery #DataAnalytics #AI

This post shows how to deploy Coveos Passage Retrieval API as an Amazon Bedrock Agents action group to improve response accuracy. This allows Coveo users to leverage their current index to quickly deploy new generative experiences across their organization. #aws #awscloud #cloud #amazonbedrockagents #partnersolutions #technicalhowto

Cloudera Leverages AWS to Deliver a Sovereign-Ready Data and AI Platform as a Launch Partner for the AWS European Sovereign Cloud https://lnkd.in/dCs-9mRQ #TechnologyNews #AI #TechNews #CIOCommunity #CIOLeadership #CIOInfluence #TechLeadership #ITStrategy #FutureOfIT #TechTrends

The text discusses how AI agents are evolving from simple task helpers into sophisticated systems that can plan and collaborate like teams, with Deep Agents on LangGraph enabling these multi-agent workflows. However, the excerpt ends mid-thought about the challenges involved in building such advanced agent systems. #aws #awscloud #cloud #amazonbedrock #amazonbedrockagents #generativeai #technicalhowto

Cloudera is spotlighting the rise of private AI as enterprises rethink cloud strategies. Many large organizations are moving beyond public cloud alone, leveraging their own data centers for secure, high-quality AI built on proprietary data. Cloudera’s hybrid approach with Cloudera Data Platform, Cloudera AI, and DataFlow gives businesses flexibility to run workloads on-prem or in the cloud—without compromise. CEO Charles Sansbury calls it the answer to “cloud hangover,” enabling companies to build sovereign, secure, and customized AI pipelines across environments. for more details: https://lnkd.in/dTiTUJCf #PrivateAI #HybridCloud #Cloudera #DataPlatform #AIInnovation #TrustedAI #SovereignAI #EnterpriseAI #AICloud #FutureOfAI #AIatScale #SecureAI

Red Hat AI 3 brings high-performance, distributed AI inference capabilities—including the new llm-d technology—to production workloads and builds the foundation for agentic AI at scale across the hybrid cloud.

Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask questions in natural language and get answers fast. But even with support for natural language, the insights you receive are often confined to the data in your BI tool. At Google Cloud, our goal is to change this.

Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask questions in natural language and get answers fast. But even with support for natural language, the insights you receive are often confined to the data in your BI tool. At Google Cloud, our goal is to change this.

Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask questions in natural language and get answers fast. But even with support for natural language, the insights you receive are often confined to the data in your BI tool. At Google Cloud, our goal is to change this.

Amazon Bedrock Flows now supports DoWhile loops, enabling iterative, condition-based workflows. This feature works with various AWS services including Prompt nodes, Lambda functions, Bedrock Agents, inline code, Knowledge Bases, and S3. #aws #awscloud #cloud #amazonbedrock #amazonbedrockpromptflows #announcements