Matthew McCullough, VP of Product for Android Developer Experience, sits down with Ryan to talk advancements in Android development, enhancing developer efficiency and reducing routine toil, and the application of Gemini AI models to improve software toolchains.
Can a dev environment spark joy? The Android team thinks so. Read More »
Today, we’re expanding the choice of third-party models available in Vertex AI Model Garden with the addition of Anthropic’s newest generation of the Claude model family: Claude Opus 4 and Claude Sonnet 4. Both Claude Opus 4 and Claude Sonnet 4 are hybrid reasoning models, meaning they offer modes for near-instant responses and extended thinking
Announcing Anthropic’s Claude Opus 4 and Claude Sonnet 4 on Vertex AI Read More »
In today’s data-driven world, understanding large datasets often requires numerous, complex non-additive1 aggregation operations. But as the size of the data becomes massive2, these types of operations become computationally expensive and time-consuming using traditional methods. That’s where Apache DataSketches come in. We’re excited to announce the availability of Apache DataSketches functions within BigQuery, providing powerful
Fast, approximate analytics at scale: Apache DataSketches available in BigQuery Read More »
Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge uses such as building privacy-preserving AI and securing multi-party data analytics. We are thrilled to share our latest
How Confidential Computing lays the foundation for trusted AI Read More »
Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge uses such as building privacy-preserving AI and securing multi-party data analytics. We are thrilled to share our latest
How Confidential Computing lays the foundation for trusted AI Read More »
Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to more than a million dollars in cost savings1. Therefore, improving ML Goodput is an important goal for model training — both from
Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Read More »
If you’re building a generative AI application or an AI agent, there’s a high likelihood you’ll need to perform simultaneous searches on structured and unstructured data. For example, the prompt “Show me all pictures of sunsets I took in the past month” includes a structured part (the date is within the past month) and an
A deep dive into AlloyDB’s vector search enhancements Read More »
Welcome to the first Cloud CISO Perspectives for May 2025. Today, Iain Mulholland, senior director, Security Engineering, pulls back the curtain on how Google Cloud approaches security engineering and how we take secure by design from mindset to production. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google
Cloud CISO Perspectives: How Google Cloud’s security team helps build securely Read More »
The telecommunications industry is undergoing a profound transformation, with AI and generative AI emerging as key catalysts. Communication service providers (CSPs) are increasingly recognizing that these technologies are not merely incremental improvements but fundamental drivers for achieving strategic business and operational objectives. This includes enabling digital transformation, fostering service innovation, optimizing monetization strategies, and enhancing
The AI-driven telecom: A new era of network transformation Read More »
The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with Vertex AI, Google Cloud’s powerful AI platform, so you can use advanced AI models, like Gemini 2.5 Pro/Flash, to understand
Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery Read More »
