Running machine learning in the cloud for live service games
Generative AI has become the number one technology of interest across many industries over the past year. Here at Google Cloud for Games, Google think that online game use cases have some of the highest potential for generative AI, giving creators the power to build…
The evolution of play: From live to living games
Over the last year, Google have seen the live game model explode in popularity, with live service modalities now incorporated into just about every top game release. Player engagement is at an all-time high, and a significant portion of that comes from live games. A recent…
Intelligencia AI speeds up deployment time with Cloud SQL
At Intelligencia AI, Google have pioneered the use of machine learning (ML) algorithms in clinical development leveraging high-quality and purpose-built data, proprietary ontologies, expert curation and automation, to accurately predict the probability of receiving FDA-approval earlier in the drug development process. In the past, Google managed…
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…
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- Running machine learning in the cloud for live service games
Recent Posts
- Why mainframe migration is more than technology transformation
- Google is a Leader in Gartner Magic Quadrant for Strategic Cloud Platform Services
- Simplified storage using policy management with Google Distributed Cloud Virtual
- Cloud Ace Wins 2024 Google Cloud Sales Partner of the Year – Southeast Asia Award for the Second Consecutive Time
- Running machine learning in the cloud for live service games
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