Publications & Talks
Blogs
To help organizations get started with gen AI use cases such as customer service modernization, website modernization, product cataloging, developer efficiency and marketing, our teams created architectures and code samples to accelerate time to business value on Google Cloud
Key considerations around new development approaches, scalability and cost optimization, and the evolution of machine learning operations for generative AI.
Key takeaways from hundreds of generative AI conversations over the past year including common use cases, a culture of experimentation and responsible AI programs.
DeepMind is partnering with Google Cloud to help organizations:
Optimize document understanding with less training data and across languages
Improve the predictability of wind power output to encourage the use of renewable energy
Offer access to the AlphaFold Protein Structure Database and an effective way to run Alphafold on Vertex AI, catalyzing a new wave of progress in biology
An extension of the Practitioners Guide to MLOps, highlighting and distilling the quality aspects in each process of the MLOps life cycle.
Common ways that geospatial data can be used in various business applications and a geospatial analytics architecture.
Some best practices for how you can enhance the performance and decrease the costs of your machine learning workloads on Google Cloud, from experimentation to production.
Whitepapers
Talks
A data driven approach to multiple disciplinarity, creating vector representations of disciplines in over 21 million articles and measuring their closeness to study their relationships over time.
Gain an overview of the machine learning operations (MLOps) life cycle, processes, and capabilities. Understand concrete details about running a continuous training pipeline, deploying a model, and monitoring predictive performance of ML models.
A framework for leaders who want to leverage the power of AI to transform their business that organizations can use to assess where they are and define where they want to go.
A panel with Vodafone and Bluecore leadership discussing business use cases for generative AI and considerations for implementation
How to identify business use-cases geared towards innovation and growth, with practical tips on how to execute an AI initiative and stories from other customers.
A podcast discussing generative AI use cases, how data and machine learning teams are coming together and early thoughts on MLOps in the era of generative AI.
A solution for running Alphafold at scale on Google Cloud and an example of how Ordaōs is creating the next generation of mini-protein drugs 30x faster.
A framework for building an AI capability and walkthrough of six key themes - Learn, Lead, Access, Secure, Scale and Automate.