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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Accelerate AI-Driven Innovation in Insurance with Databricks and MongoDB

Insights from a report on digital expression, fashion, and beauty trends, including the importance of digital self-expression, the impact of brand recognition in the metaverse, consumer willingness to spend on digital fashion, experimentation with expression through avatars, and the positive impact of authenticity on self-expression and well-being.

Explore the differences between Arabic dialects spoken by over 300 million people worldwide and learn about unique features in Moroccan, Egyptian, and Syrian Arabic dialects.

Discover the benefits of streaming architectures and how they can be optimized for performance, cost, and efficiency using Spark Structured Streaming on the Databricks Lakehouse Platform.

Explore the concept of generative AI, its applications, and the advancements in deep-learning architectures that have fueled its growth.

The Next Step in Personalization: Dynamic Sizzles

Built-In Governance for Your Databricks Workspace: Databricks Unity Catalog simplifies data and AI governance, boosting productivity in the Lakehouse environment.

EELBERT introduces a method for compressing transformer-based models by replacing the input embedding layer with dynamic computations, resulting in smaller models with minimal impact on downstream tasks.

SeMAnD is a self-supervised anomaly detection technique for detecting geometric anomalies in multimodal geospatial datasets.

STEER is a steering detection model for voice assistants that predicts whether a follow-up command is a user's attempt to steer the previous command.

Learn how to build a medical imaging AI inference pipeline with MONAI Deploy on AWS for scalable, enterprise-level deployment and integration of AI applications.