Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...

Cloudera, a data management and analytics company, has introduced a new platform update that brings together Trino, Cloudera Shared Data Experience (SDX), and Cloudera Octopai Data Lineage. The update ...

Electric utilities have long been stewards of vast data sets: kilowatt hour reads, outage logs, SCADA snapshots. What has shifted is the speed at which those numbers must inform strategic decisions.

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Data contextualization is the key to understanding and preventing the implications of bad factory floor data in downstream applications. When your IT colleagues talk about data lineage, they are ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Key Insight: Strict data lineage is now central to bank generative AI strategies. What's at Stake: Operational, compliance and reputational risks could translate into lawsuits and financial losses.

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...