Cloud Computing

In the dynamic world of beauty retail, staying ahead requires more than just the hottest trends — it demands agility, data-driven insights, and seamless customer experiences. Ulta Beauty, a leader in the beauty and wellness industry, understands this.  Building on the success of modernizing its e-commerce platform with Google Kubernetes Engine (GKE), Ulta Beauty partnered […]

Today, we’re introducing Pub/Sub Single Message Transforms (SMTs) to make it easy to perform simple data transformations right within Pub/Sub itself. This comes at a time when businesses are increasingly reliant on streaming data to derive real-time insights, understand evolving customer trends, and ultimately make critical decisions that impact their bottom line and strategic direction.

Looking to fine-tune multimodal AI models for your specific domain but facing infrastructure and implementation challenges? This guide demonstrates how to overcome the multimodal implementation gap using Google Cloud and Axolotl, with a complete hands-on example fine-tuning Gemma 3 on the SIIM-ISIC Melanoma dataset. Learn how to scale from concept to production while addressing the

BigQuery provides a powerful platform for analyzing large-scale datasets with high performance. However, as data volumes and query complexity increase, maintaining operational efficiency is essential. BigQuery workload management provides comprehensive control mechanisms to optimize workloads and resource allocation, preventing performance issues and resource contention, especially in high-volume environments. And today, we’re excited to announce several

Today, we are excited to announce that Gartner® has named Google as a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms report (DSML). We believe that this recognition is a reflection of continued innovations to address the needs of data science and machine learning teams, as well as new types

Here’s a common scenario when building AI agents that might feel confusing: How can you use the latest Gemini models and an open-source framework like LangChain and LangGraph to create multimodal agents that can detect objects?  Detecting objects is critically important for use cases from content moderation to multimedia search and retrieval. Langchain provides tools

For years, BigQuery has been synonymous with fully managed, fast, petabyte-scale analytics. Its columnar architecture and decoupled storage and compute have made it the go-to data warehouse for deriving insights from massive datasets.  But what about the moments between the big analyses? What if you need to: Modify a handful of customer records across huge