Customer Care portfolio: Flexible, scalable, robust support
Technical support is now more critical than ever. It’s crucial to keeping your business running smoothly, while rapidly adjusting to an increasingly hybrid workforce that needs to stay connected at all times. Although the scale may vary, organizations of all sizes face similar challenges. Google…
Using Vertex AI for rapid model prototyping and deployment
Bringing AI models to a production environment is one of the biggest challenges of AI practitioners. Much of the discussions in the AI/ML space revolve around model development. As shown in this diagram from the canonical Google paper “Hidden Technical Debt in Machine Learning Systems”,…
Industry-leading reliability, global scale & open standards with Google Cloud Databases
In today’s digital landscape, consumers expect near-instant feats of speed and personalized service packaged up as easy-to-use apps. To them, the sky’s the limit when it comes to what’s possible from technology experiences. But meeting (and ideally, exceeding) their expectations is often a heavy lift…
Apollo Scales GraphQL Platform using GKE
Every business has tools they start with, tools they grow with or grow out of, and tools they adopt along the way. GraphQL is an open source query language that many companies are adopting to modernize the way they, or their users, query resources. In…
Introducing Community Security Analytics
As more organizations embrace the principles of Autonomic Security Operations, Google continue to research and develop new initiatives that can simplify the adoption of a continuous detection and continuous response (CD/CR) workflow for Security Operations teams. To this end, Google are excited to announce Community Security Analytics (CSA),…
ArcGIS and BigQuery – a match made for geodata
Geographical data is one of the critical datasets for data-driven organizations to make informed business decisions. As the data is growing more than ever before, it’s becoming more challenging to manage and analyze mammoth datasets using traditional databases, this is true for geographical data as…
Evolving to a programmable cloud
Harnessing the power of data is key to the success of organizations. However, what it means to be data-driven changes as the nature of business and user expectations also change. In today’s fast-paced landscape, organizations need to immediately react to data. Users expect action using…
Extending Network Reachability of Vertex AI Pipelines
Vertex AI Pipelines and jobs use the Service Networking API to configure their networking. As such, they will run in a Google-owned VPC network in tenant project that is peered to the network in your project. This peering is subject to the following standard VPC Peering networking constraints;…
Google Cloud Cortex Framework: Connect SAP data via Cloud Data Fusion
The speed at which your organization can innovate depends on two major factors: Having access to the right set of tools and services as well as making relevant data sets available to those services. Google Cloud Cortex Framework solves for the first part by providing solution accelerators…
Get more insights from your Java applications logs
Today it is even easier to capture logs in your Java applications. Developers can get more data with their application logs using a new version of the Cloud Logging client library for Java. The library populates the current executing context implicitly with every ingested log…
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Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
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