The Big Data Blog

Artificial Intelligence is rapidly finding its way into IoT and automation platforms. From “self-optimizing” energy systems to AI-driven vision, diagnostics, and control, the promise is compelling: smarter devices, fewer human interventions, and systems that adapt rather than break. Yet in practice, many AI-enabled IoT projects fail - not loudly, but quietly. They work well in demos, struggle in production, and eventually get bypassed, simplified, or switched off. The problem

Starlink is a transformative force in the satellite industry, challenging traditional norms and legacy systems. Its key contributions...

The ability to track on land air and sea is entering a new era. EchoStar is launching a global S-Band LEO constellation to add to it US...

It is estimated that 90% of data generated onboard the a ship never leaves the deck. Ship operators and crew lose invaluable insight,...

Trend 1: Decarbonization This trend refers to the transition towards a clean, carbon-free world, largely by increasing our use of...

To implement video analytics, organizations use a collection of technologies, including video processing, object detection, object...

In recent years, there’s been a growing academic and industrial interest in video analytics. Significant advances to deep learning...

As per the reference below* the results of 'Smart Infotainment User Interfaces' it of great interest. The authors conducted the...