Scaling Character.AI: How AlloyDB for PostgreSQL and Spanner met their growing needs
Do you ever wish you could sit down and talk physics with Albert Einstein or playwriting with William Shakespeare? With Character.AI, the possibilities are as infinite as the imagination. At Character.AI, Google are on a mission to deliver lifelike interactions using artificial intelligence (AI). Our service…
Code samples to get started building generative AI apps on Google Cloud
Last year, Google surveyed over 100 senior executives from leading companies on the top generative AI use cases for 2024. They told us their top use cases delivered near-term benefits for their business and had a lower time to and risk to implement. Specifically, they…
Google Cloud databases stand ready to power your gen AI apps with new capabilities
Google Cloud help our customers unify their data and connect it with groundbreaking AI to build transformative experiences. Data, whether it’s structured data in an operational database or unstructured data in a data lake, helps make AI more effective. For businesses to truly take advantage…
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…
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,…
Now Available: Duet AI for Google Workspace
Today Google are making Duet AI for Google Workspace generally available, and you can get started now with a no-cost trial. With over 3 billion users and more than 10 million paying customers who rely on it every day to get things done, Google Workspace is the world’s…
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Recent Posts
- Can gen AI bring order to medical records? This startup is giving it a shot.
- AI’s Business Value: Lessons from Enterprise Success
- Modernization vs. migration for data workloads
- How to apply Google product management practices to your business
- VWO Partners with Cloud Ace to Deliver Scalable Experience Optimisation Solutions
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