There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

While agentic AI tools can offer profound efficiency gains, they also present new risks that need to be effectively managed.

OpenAI launches ChatGPT Images 2.0 with image editing, reasoning, web research, multilingual support, and better text ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

Snowflake Intelligence now serves as a personal work agent for business users that adapts over time by learning individual ...

Samsung's Galaxy Enhance-X is a tool for tweaking your photos and videos, as well as manipulating digital documents. It can ...

AI-native cybersecurity, diversification, and first positive operating margin boost long-term upside. Read here for more ...

The mining project of MCC Jiangxi Copper Aynak Mining Co., Ltd. in Afghanistan is of strategic and economic importance. However, the region’s long-term conflict has disrupted the local talent ...