Cloud Computing

How Moloco is powering the future of retail media with AI Vector Search

The retail media landscape has reached an inflection point. What started as a way for retailers to monetize their digital real estate has become the fastest-growing segment of digital advertising, with projections showing 21.9% growth in 2025 and a three-year compound annual growth rate of 19.7% through 2027, according to Dentsu’s Global Ad Spend Forecasts […]

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New BigQuery Studio experience: Boost your data analysis productivity

We designed BigQuery Studio to give data analysts, data engineers, and data scientists a comprehensive analytics experience within a single, purpose-built platform, helping them transform data into powerful insights.  Today, we’re thrilled to unveil a significant update to the BigQuery Studio, with a simplified and organized console interface to streamline your workflows, enhance your productivity,

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New BigQuery Studio experience: Boost your data analysis productivity

We designed BigQuery Studio to give data analysts, data engineers, and data scientists a comprehensive analytics experience within a single, purpose-built platform, helping them transform data into powerful insights.  Today, we’re thrilled to unveil a significant update to the BigQuery Studio, with a simplified and organized console interface to streamline your workflows, enhance your productivity,

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Unlock next-gen database performance: C4A Axion and N4 machines for Cloud SQL now GA

For today’s business-critical database workloads, the bar that their infrastructure must meet has never been higher. Organizations expect systems that are performant, cost-efficient, scalable and secure. But meeting those expectations is no small feat. Surging data volumes, increasingly complex workloads, and new demands from advanced analytics and vector search for generative AI are intensifying the

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Announcing prompt management in the Vertex AI SDK

As generative AI applications grow in sophistication, development workflows become more fragmented. Although AI can be a force multiplier, teams may design prompts in one environment, manage versions in spreadsheets or text files, and then manually integrate them into their code. This leads to inefficiencies, versioning chaos, and collaboration bottlenecks.  Vertex AI Studio is designed

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New Group on the Block: UNC5142 Leverages EtherHiding to Distribute Malware

Written by: Mark Magee, Jose Hernandez, Bavi Sadayappan, Jessa Valdez Since late 2023, Mandiant Threat Defense and Google Threat Intelligence Group (GTIG) have tracked UNC5142, a financially motivated threat actor that abuses the blockchain to facilitate the distribution of information stealers (infostealers). UNC5142 is characterized by its use of compromised WordPress websites and “EtherHiding“, a

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DPRK Adopts EtherHiding: Nation-State Malware Hiding on Blockchains

Written by: Blas Kojusner, Robert Wallace, Joseph Dobson Google Threat Intelligence Group (GTIG) has observed the North Korea (DPRK) threat actor UNC5342 using ‘EtherHiding’ to deliver malware and facilitate cryptocurrency theft, the first time GTIG has observed a nation-state actor adopting this method. This post is part of a two-part blog series on adversaries using EtherHiding,

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Save costs and decrease latency while using Gemini with Vertex AI context caching

As developers build increasingly sophisticated AI applications, they often encounter scenarios where substantial amounts of contextual information — be it a lengthy document, a detailed set of system instructions, a code base — need to be repeatedly sent to the model. While this data provides models with much-needed context for their responses, it often escalates

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