News

The data nerds are fighting back. After watching data sets be altered or disappear from government websites in unprecedented ...
Recent advances in large foundation models promise to automate complex tasks in architecture, engineering, and construction (AEC). These models offer ...
This initiative complements Meta’s broader efforts to reduce the carbon impact of concrete throughout its data center ...
The number of dams in the United States at risk of overtopping is increasing, threatening their structural integrity and ...
US-based firms such as Dow Chemical and LyondellBasell possess a structural cost advantage with their access to ethane. The theoretical yield for producing ethylene is almost 4 times greater when ...
Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...
The news of a massive 16 billion data breach that exposed login credentials from Apple, Google, Facebook has made record as one of the largest data breaches in history.
Global banking giant UBS has suffered a data breach following a cyber-attack on a third-party supplier. In a statement emailed to Infosecurity, a UBS spokesperson confirmed a breach had occurred, but ...
When you open WebMD.com to check symptoms, the domain places one cookie on your browser. Pop over to ESPN.com for the latest scores, and 49 cookies start tracking user information. Click on Wired.com ...
Eliminating data engineering bottlenecks Another area in which Databricks is looking to help enterprises eliminate the data engineering bottlenecks that slow down AI projects is in data management.
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...
Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.