Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...

Powers cloud applications that need to manage complex and highly connected data Graph-specific use cases include master data management, recommendation & personalization, security & ...

Most CISOs can’t answer a simple question with confidence: are the controls protecting our most critical applications ...

Abstract: For autonomous systems, the smoothness of estimated trajectories is essential to ensure robust and performant vehicle control. Unfortunately, approaches for state estimation using Kalman ...

Here's a stat that should keep security leaders up at night: 83% of enterprises already use AI in daily operations, but only 13% have strong visibility into how it touches their data. That gap is ...

Abstract: The emergence of Graph Convolutional Network (GCN) has greatly boosted the progress of graph learning. However, two disturbing factors, noise and redundancy in graph data, and lack of ...

Trust is the biggest barrier to AI adoption, says AI chief, claiming that new features in Bedrock AgentCore will prevent bad outcomes ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The ...

Data doesn’t suggest so, and India has a diversified fleet of generating units; the fact that night load is not being met ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

False confidence in surface-level privacy tools creates a dangerous blind spot, where founders assume data is protected while ...