Looker now available from Google Cloud console
Looker helps make it easy to get insights from business data and to build data-driven applications with unified metrics for ease of collaboration. Today, Google are bringing Looker to the Google Cloud console, making it simpler than ever to acquire, deploy, and manage Looker in…
Tips on building a network security policy in Google Cloud
Changing the network security perspective In a data center, network security engineers tend to spend the bulk of their time managing individual devices: creating strong passwords and hardening configurations for networking devices and creating firewall rules for each endpoint. Since nothing is physical in the…
Detecting data deletion and threats to backups with Security Command Center
The threat landscape is rapidly evolving, with data destruction attacks increasingly pervasive and more sophisticated than in years past. Today’s threat actors are constantly identifying new pathways to target data and to limit organizations’ ability to recover from attacks. Backups have long been the solution…
Google Cloud’s approach to trust and transparency in AI
Generative artificial intelligence has emerged as a disruptive technology that presents tremendous potential to revolutionize and transform the way Google do business. It has the power to unlock opportunities for communities, companies, and countries around the world, bringing meaningful change that could improve billions of…
Introducing automated credential discovery to help secure your cloud environment
Storing credentials in plaintext can make your organization less secure. Risks include exposing your credentials to unauthorized users, including threat actors. Improperly secured credentials can also be collected, propagated, and further exposed in various systems, such as logs or inventory systems. Google recommend organizations protect…
Ask your documents: Document AI and PaLM2 for question answering
Documents, physical or digital, contain a goldmine of information—assuming all that data and content can actually be leveraged to help employees to do their jobs. Internal IT and content management teams have long sought to provide knowledge workers with the ability to interact with a…
How to build a gen AI application
Intro As enterprises race towards building and deploying generative AI applications, there are many open questions about how to design the end user experience of these applications to take advantage of this powerful technology, while avoiding its pitfalls. The Cloud AI and Industry Solutions team…
Build enterprise gen AI apps with Google Cloud databases
Trained on an enormous corpus of publicly available data from a broad range of topics, large language models (LLMs) are powerful in many ways but can be improved in other areas. Due to the size of the training data, it can be resource-intensive to train…
5 ways AI and no-code innovations are easier to adopt in 2024
To stay competitive, organizations need to quickly build applications that can automate workflows, improve productivity, and connect with customers. Recent innovations in AI are further democratizing no-code application development, allowing businesses and organizations to see a greater impact. In Forrester’s January 2024 Total Economic Impact study of…
API policy protections for the generative AI era
In 2023, Google saw how fast technology can move when it captures the imagination of an entire industry. The transformative potential of generative AI and large language models (LLMs) is plainly apparent, and the development of powerful new solutions continues to accelerate. At Google Workspace,…
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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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