The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...
TMCnet

FANUC America Showcases Physical AI and AI-Enabled Robotics Demos at Automate 2026

FANUC America, the leading supplier of CNCs, robotics and automation, will showcase advanced robotics, collaborative ...

An engineer’s case for predicting failure instead of patching it

Venkateswarlu Tanneru builds resilient cloud infrastructure using predictive failure systems, blending aeronautical ...
eWeek

The Prompt Engineering Cheat Sheet: How to Write Better AI Prompts

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Forbes

What Separates AI-Native Engineers From Traditional Software Engineers

Research tracking 121,000 developers across 450+ companies found that 92.6% of engineers now use an AI coding assistant at least once a month. Yet productivity gains across those same teams have ...
IEEE

Surrogate-Driven Structural Optimization of a Vacuum-Compatible Robotic End-Effector Using ANSYS and a Python Digital Twin Framework

Abstract: Designing robotic end-effectors often begins with a simple question: how will the structure behave when its material, geometry, and loading conditions change? In practice, answering this ...
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...