For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...
Third-party vendor vulnerabilities and sophisticated social engineering campaigns defined the cybersecurity landscape for financial institutions in 2025. From specialized software providers to major ...
Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...
The amount of capital pouring into AI data center projects is staggering. Last week, Microsoft, Alphabet, Meta, and Amazon reported their 2025 capital expenditures would total roughly $370 billion, ...
On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.
EL SEGUNDO, Calif.--(BUSINESS WIRE)-- Teledyne Controls, a business unit of Teledyne Technologies Incorporated (TDY), and a leading provider of avionics and aircraft data management solutions, is ...
Teledyne Controls, a business unit of Teledyne Technologies Incorporated (NYSE:TDY), and a leading provider of avionics and aircraft data management solutions, is pleased to announce that the Federal ...
Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...
A render of the Richland Parish data center project (Credit: Meta) The Louisiana Public Service Commission (LPSC) has approved an agreement that allows Entergy Louisiana to move forward with what the ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...