No more waiting on hold: How Google Cloud Contact Center AI improves Sales Development operations
Google Cloud’s contact centers have been live for over a decade, during which Google seen demand accelerate significantly. Fast growth has led to a spike in calls, posing enormous challenges to our call center capabilities. At any given time, people from all over the world…
Navigating Google Cloud: a decision tree for data & analytics workloads
Google Cloud provides a wide range of services for running data and analytics workloads, which can mean sifting through a lot of information when choosing the right tools for your specific use cases. Each workload requires a unique set of services, from data ingestion and…
Expanding our data processing commitments for Google Cloud and Google Workspace
Google Cloud are committed to meeting our customers’ evolving data processing and security requirements. To this end, Google are pleased to announce the next version of the Cloud Data Processing Addendum (CDPA), which updates our data processing and security terms for Google Cloud, Google Workspace (including Workspace…
Vertex AI Search and Conversation is now generally available
For generative AI to achieve its immense potential, it needs to be broadly accessible and easy to integrate into a range of services. That’s why Google offer our customers Vertex AI Search and Conversation— generally available today— to abstract the complexity of creating generative search…
Built with BigQuery: How Atlas AI helps build a more resilient future
The footprint of humanity is evolving substantially – from climate change alone scientists estimate that more than 600 million people on the planet have already been stranded outside of habitats that best support life. Other factors such as natural disasters, conflict, a global pandemic, and…
New AI capabilities that can help address your security challenges
Google Cloud continue to address pervasive and fundamental security challenges: the exponential growth in threats, the toil it takes for security teams to achieve desired outcomes, and the chronic shortage of security talent. At Google Cloud Next, we are leaning in to help solve these…
Vertex AI extends enterprise-ready generative AI development with new models, tooling
Since announcing Generative AI support on Vertex AI less than six months ago, Google have been thrilled and humbled to see innovative use cases from customers of all kinds — from enterprises like GE Appliances, whose consumer app SmartHQ offers users the ability to generate custom recipes…
Improving sustainability with our Earth Engine and BigQuery connector
Google are thrilled to announce general availability of a new feature that simplifies the export of tabular data from Google Earth Engine into BigQuery. Earth Engine and BigQuery share a common goal to make large-scale data processing accessible and usable by a wide range of…
Scaling machine learning with BigQuery ML inference engine
As enterprises race to extract value from structured, semi-structured, and unstructured data, they face a continuum of challenges related to data gravity, including data acquisition, data management and data governance. Simultaneously, these companies are also grappling with model gravity as they build and scale machine learning workflows for…
Build limitless workloads on BigQuery: New features beyond SQL
Our mission at Google Cloud is to help our customers fuel data driven transformations. As a step towards this, BigQuery is removing its limit as a SQL-only interface and providing new developer extensions for workloads that require programming beyond SQL. These flexible programming extensions are all offered…
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- 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
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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