Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

Andre Bianchi and Sophia Perez’s dashboard reveals historical trends and recurring themes in fight songs, which earned them a spot at the Big Ten Academic Alliance Data Viz Championship.

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Data engineers used to operate mostly behind the scenes, moving digital information from one system to another so analysts and executives could make sense of it later. Now, as companies rely more ...

Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...