Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

Lantern Partners AI, a leading provider of AI-native SaaS solutions for businesses, today announced its official expansion into the agriculture industry with the introduction of LanternBRP(TM), a ...

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

GenAI is super advanced – but it doesn’t replace predictive AI, it only augments it. The two will remain intrinsically distinct, even as they’re strategically married. The future is the ultimate ...

Pecan AI Ltd. today announced the launch of its Predictive AI Agent, an agentic artificial intelligence system designed to help businesses forecast shifts in revenue, customer sentiment, demand and ...

Utilities are using AI to modernize the aging grid with tools to manage growing energy demands. Predictive maintenance and genAI assistants are predicting grid risk and reducing repair time. This ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

AI in agriculture is transforming farming with data, automation and precision tools. Learn how farmers boost yields, reduce ...

AI/ML enables better energy planning, including precise calculations to optimize the power mix as well as timing to garner financial incentives. Source: Emerson 72% of manufacturers using AI to reduce ...

The energy sector is currently navigating a profound transformation. This shift is driven by digital innovation and an escalating need to ensure the reliability of critical assets, particularly in ...