How our commitment to open source unlocks AI and ML innovation
Google believe anyone should be able to quickly and easily turn their artificial intelligence (AI) idea into reality. Open source software (OSS) has become increasingly important to this goal, heavily influencing the pace of innovation in AI and machine learning (ML) ecosystems. Over the last…
Streamline your models to production with the Vertex AI Model Registry
Machine learning (ML) is iterative in nature — model improvement is a necessity to drive the best business outcomes. Yet, with the proliferation of model artifacts, it can be difficult to ensure that only the best models make it into production. Data science teams may…
Implementing observability for always-on Ecommerce experience
In today’s Digital age, the emphasis continues to be on automation and improving business processes, employee productivity and customer experiences to meet the ever changing business and consumer expectations. According to Gartner, organizations will require more IT and business process automation as they are forced to accelerate digital…
Measuring climate and land changes with AI
Imagine what could be possible if we had a dataset that could automatically and in near real-time show you how the Earth has changed week over week, month over month, year over year. We would get a birds eye view of recent events like floods, fires, snowstorms from days ago and be…
Introducing new AI to help people thrive in hybrid work
Google have been using machine learning in Google Workspace for some years to help make people’s work day more productive and impactful. Today, they’re announcing new features in Google Workspace that tap into their industry-leading AI to help people thrive and get more done in a hybrid work world….
Meet Google’s unified data and AI offering
Without AI, you’re not getting the most out of your data.Without data, you risk stale, out-of-date, suboptimal models. But most companies are still struggling with how to keep these highly interdependent technologies in sync and operationalize AI to take meaningful action from data. Google have…
From insights to robots, Speech AI use cases have exploded
It’s been five years since Google launched the Google Cloud Speech-to-Text (STT) API, and they’re awed by the things their customers have done. From powering voice-controlled apps to generating captions for videos, the API processes more than 1 billion minutes of spoken language each month—enough to transcribe the…
Meet AI’s multitool: Vector embeddings
Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their toolbelt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, perhaps, is…
Google Cloud Text-to-Speech API now supports custom voices
With the rise of digital assistants and conversational interfaces, people have grown accustomed to hearing and speaking to synthetic voices. But what do those voices sound like? Often, pretty repetitive. Google are all familiar with the Google Assistant voice, for example. That’s why Google are…
USAA and Google Cloud: Modernizing Insurance Operations with Machine Learning
Delivering an automated solution capable of going from images of vehicle damage to actual car part repair/replace predictions has been an elusive dream for many auto insurance carriers. Such a solution could not only streamline the repair process, but also increase auditability of repairs and…