
Presenting New Partner Integrations in Partner Connect
Introducing new partner integrations in Databricks Partner Connect for seamless adoption of partner solutions with the Data Intelligence Platform data.

Crafting a Data-Driven Talent Intelligence Strategy in Healthcare
Crafting a data-driven talent intelligence strategy in healthcare using People Data Labs, LinkUp, and Databricks

What’s new with Filestore: Enhancing your stateful workloads on GKE
Enhancing stateful workloads on GKE with new features in Filestore

Deploy and manage Kubernetes applications with Workflows
Deploy and manage Kubernetes applications with Workflows using the newly released Kubernetes API connector and the existing Kubernetes Engine API connector.

Introducing sample GenAI Databases Retrieval App – augment your LLMs with Google Cloud databases
This blogpost introduces the GenAI Databases Retrieval App that enhances generative AI applications with Google Cloud databases using techniques like Retrieval Augmented Generation (RAG) and ReACT.

Built with BigQuery: LiveRamp’s open approach to optimizing customer experiences
LiveRamp's open approach to optimizing customer experiences using BigQuery

Cloud CISO Perspectives: How security validations can help organizations stay secure
Learn how security validations can help organizations stay secure in today's complex threat landscape.

Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR
Revisiting current trends in federated learning for large-scale ASR, emphasizing the importance of disentangling optimization and model size.

Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Characterizing the relationship between swap agnostic learning and omniprediction via multicalibration.

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Introducing SAM-CLIP, a unified model merging the semantic and spatial understanding capabilities of CLIP and SAM vision foundation models.

Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
Increasing multilingual coverage and precision of textual information in knowledge graphs using novel unsupervised approach

What Algorithms can Transformers Learn? A Study in Length Generalization
Study explores the algorithmic capabilities of Transformers and their ability to exhibit length generalization on tasks