The IoT revolution has transformed data management with over 15 billion connected devices worldwide, expected to double by 2030. Traditional data management practices are now obsolete, and new strategies are crucial. This article explores IoT data management challenges, solutions, and future trends to help companies scale up. Effective IoT data management is key to unlocking its benefits.
AI and IoT: Drive Manufacturing Efficiency with AIoT
AIoT Boosts Agentic AI For logistics, manufacturing, healthcare, OEM, and other industrial types of applications, AI is most powerful when paired with Internet of Things (IoT) devices. Sensors measure all sorts of conditions and either continuously or periodically report data to…
Ownership vs. SaaS: A Reconsideration
SaaS Costs Can Bite Sure, the demo looks great. The sales rep demonstrates a dashboard that looks exactly like the one your ops team has been begging for. The rep knows your industry and hits the right pain points. The per-box…
Unplanned Downtime Costs You More Than You Think
Unplanned downtime can significantly impact a company’s productivity and profit, with estimated losses of $1.4 trillion annually. Implementing preventive maintenance (PM) strategies can help minimize downtime and optimize equipment performance. IoT-enabled predictive maintenance takes PM to the next level by using real-time data analytics and machine learning to predict and prevent equipment failures.
AI Agents Do More Than Just Listen to Your Automated Tank Gauge (ATG)
An AI Agent Deals with the Data You’re Already Sitting On The Automated Tank Gauge (ATG) hardware your techs interact with every day is generating a continuous data stream that most service companies treat as a pass/fail snapshot. The gap between…