People often think of BigQuery in the context of data warehousing and analytics, but it is a crucial part of the AI ecosystem as well. And today, we’re excited to share significant performance improvements to BigQuery that make it even easier to extract insights from your data with generative AI. In addition to native model […]
It’s hard to believe it’s been over 10 years since Kubernetes first set sail, fundamentally changing how we build, deploy, and manage applications. Google Cloud was at the forefront of the Kubernetes revolution with Google Kubernetes Engine (GKE), providing a robust, scalable, and cutting-edge platform for your containerized workloads. Since then, Kubernetes has emerged as
GKE network interface at 10: From core connectivity to the AI backbone Read More »
State and local governments across the nation face a myriad of challenges, including strained budgets, aging infrastructure, and a complex regulatory landscape. In California, these challenges are compounded by a rapidly growing population and increasing demand for public services. To address these issues, the state is turning to technology as a catalyst for change. California,
How California is transforming public services with Google Cloud Read More »
Trading in capital markets demands peak compute performance, with every microsecond impacting critical decisions and market outcomes. At Google Cloud, we’re committed to providing global markets with the cutting-edge infrastructure they need to create and participate in digital exchange ecosystems. Our industry investments enable a purpose-built, cloud-native market infrastructure solution leveraging a global network that
Setting new expectations: Benchmarking high-performance trading with C3 machines Read More »
Ryan chats with Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product.
What an MCP implementation looks like at a CRM company Read More »
High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit all. Some use cases demand state-of-the-art quality, while others prioritize cost, speed, or compatibility with the open-source ecosystem. To
Gemini and OSS text embeddings are now in BigQuery ML Read More »
The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting them. As part of the bedrock of the internet, DNS and domain name lookup are also prime vehicles for threat
New DNS Armor can help detect, mitigate domain name system risks Read More »
We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with a built-in Data Science Agent to accelerate your data science development with agentic capabilities that facilitate data exploration, transformation, and machine learning modeling. With nothing
We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with a built-in Data Science Agent to accelerate your data science development with agentic capabilities that facilitate data exploration, transformation, and machine learning modeling. With nothing
Managing Oklahoma’s extensive network of thousands of bridges is a critical responsibility for the Oklahoma Department of Transportation (ODOT). This immense undertaking demands not only diligent engineering and maintenance, but also the ability to effectively manage and analyze vast and complex data sets, including inspection reports, material histories and real-time environmental factors. ODOT recognized the
