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…
Running Spark on Kubernetes with Dataproc
Apache Spark is now the de facto standard for data engineering, data exploration and machine learning. Just likeKubernetes (k8s), is for automating containerized application deployment, scaling, and management. The open source ecosystem is now converging towards utilizing k8s as the compute platform in addition to…
Automating income taxes with Document AI
In the United States, Tax Season descends upon the country every April, requiring millions of Americans to spend hours deciphering cryptic documents and performing complex math just to figure out what they owe. Wouldn’t it be grand if there was a way for a computer…
Ucraft builds global website-builder business with the help of Google Cloud
Ucraft is an easy-to-use website builder for anyone who wants to create a unique and powerful website. They currently have around 1 million users in total, 450K active users and online business owners, bloggers, startups, designers, freelancers, and entrepreneurs grow their brands. And Google Cloud has been there to help…
Up for an update? Cloud SQL launches support for in-place upgrades
If you adore databases like we do, the launch of a new major version is an event you celebrate. With each new major version comes cutting-edge database features, performance boosts, and other goodies for database lovers like you. You can hardly wait to spin up…
Easy CSV importing into Cloud Bigtable
If you’re trying to learn a new database, you’ll want to kick the tires by loading in some data and maybe doing a query or two. Cloud Bigtable is a powerful database service for scale and throughput, and it is quite flexible in how you…
MLOps in BigQuery ML with Vertex AI Model Registry
Without a central place to manage models, those responsible for operationalizing ML models have no way of knowing the overall status of trained models and data. This lack of manageability can impact the review and release process of models into production, which often requires offline…
Google Cloud’s key investment areas to accelerate your database transformation
The sky’s the limit when it comes to reimagining digital experiences. At least, that’s how consumers view it. Applications are about more than delivering a service. Today’s customers also expect them to be lightning fast, personalized, and easy to use. Operational databases power your most…
Introducing Serverless Spark for interactive development
At Google Cloud, they are committed to helping you build an open and integrated data platform that meets your specific business needs. Google believe in order to build the world you want, you need to be able to use the tools you want, on a…
Reduce scaling costs by up to 50% in Cloud Spanner with doubled provisioned storage
Cloud Spanner is Google Cloud’s fully managed relational database that offers unlimited scale, strong consistency across regions, and high availability up to 99.999%. Spanner handles more than two billion requests per second. Spanner is trusted by customers in financial services, retail, gaming and many other…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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