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The future is here: when the network thinks for itself

  • Writer: יורם ביביש, CEO
    יורם ביביש, CEO
  • 21 hours ago
  • 2 min read
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In the past, a communications network was like a nervous system, transmitting commands, responding to stimuli, but not really understanding what was happening. Today, with a combination of

It's no longer science fiction. It's happening now in city control centers, fiber optic projects, complex IP systems, and DR facility operations, and the question is not whether it will happen, but


From technical automation to thinking automation

Classic automation works according to rules: If a link goes down - reboot. If there is a load - re-analyze. But the world does not work according to "if... then".

AI-Automation

Field example: In a large urban fiber project, the system detects a subtle change in the attenuation level in one of the fibers even before a fault occurs. Instead of waiting for a call from the service center, it automatically switches the path, records the event and alerts the network administrator to check the suspect line.


Where does it meet you? Five examples from the field

domain

What's going on there?

What does AI change?

Fiber optic infrastructure

Managing hundreds of lines and customers simultaneously

Fault prediction based on load patterns, smart routing in real time

Municipal control centers

Hundreds of sensors, cameras, IP systems

Automated anomaly analysis, fault prediction and proactive response

Urban wireless communication

Loads vary between regions

Dynamic load balancing, adapting to terrain conditions

Infrastructure information security

Multiple false alarms

Smart and automatic filtering of events according to real risk level

DR sites and DATA CENTERS

Heat loads, power consumption, backups

Smart energy management, load forecasting, and automatic activation of spare servers

The combined advantage: reliability, transparency and control

  • Reliability:

  • Efficiency:

  • Service:

  • Savings:

  • Control:

 

Not everything is rosy, but everything is possible.

The challenges are clear:

  • Data quality and uniformity

  • Integration between old and new systems

  • Compliance with information security standards and regulations

  • Lack of skilled manpower for AI and Data

But the good news? Each of them is solvable when approached correctly.


Closing message

In a world where communication networks run cities, cameras monitor traffic, and sensors are connected to everything

This is exactly where


Messer Information Technologies Ltd.

Planning, consulting and support for smart systems for a connected world


 
 
 

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