Sigma, a leader in AI applications for business, today announced preliminary business results for the fiscal year ending January 31, 2026, highlighting record momentum in revenue and customer adoption ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Discover the 7 best cloud orchestration tools for enterprises in 2026, including AWS CloudFormation, Ansible, Spacelift, CloudBolt, and more. Compare features, pricing, multi-cloud support, and use ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

Postgres has become the default database for modern software. Long before AI-assisted development, Postgres emerged as the backend of choice for production platforms, offering the broadest surface ...

JOB DESCRIPTION Customer, Platforms and Insights TFG’s mission is to be the leading fashion lifestyle retailer in Africa whilst growing its international footprint by providing innovative products, ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Today the OpenMP® Architecture Review Board (ARB) announces the formation of an OpenMP Python Language Subcommittee to add Python support to version 7.0 of the OpenMP API specification. At the same ...

Abstract: In the deployment of distributed gradient descent algorithms in a network, the computational time and response time of a worker node are affected by various factors, such as processor speed, ...