Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

A Compiler-Centric Approach for Modern Workloads and Heterogeneous Hardware. Michael Jungmair Technical University of Munich ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

This award takes notice of the next dominant force in Pacific Northwest tech, and the finalists are: Overland AI, Carbon ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...