ER TLC

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ER TLC

ER TLC is a StartUp founded in 2019 by a group of established professionals in the telecommunication

22/05/2026

The real value of AI-native networking is not just automation. It’s prediction.

RAD highlights how AI-native networks can move from reactive operations to proactive and predictive ones, identifying traffic surges, emerging faults, or performance issues before users are impacted.

As networks become more complex across edge, core, and multi-domain environments, reacting after the problem is no longer enough.

The shift is toward infrastructure that can continuously analyse, anticipate, and optimise in real time.

RAD

15/05/2026

AI-native networking is more than automation.

RAD’s point in this piece is that intelligence should not sit outside the network as an overlay. It needs to be built directly into network functions, control loops, and operations.

Why now? Because modern networks are dealing with more complexity, more AI-related traffic, stricter performance requirements, and growing cost and energy pressure.

The shift is clear: connectivity is moving toward networks that can observe, decide, and act in real time.

07/05/2026

As AI adoption grows, the opportunity for service providers is moving beyond raw capacity.

RAD highlights a more service-led model built around:

✔ Premium 100G and 400G DCI
✔ Assured performance and traffic isolation
✔ Bandwidth on demand at the carrier edge
✔ Quantum-safe security and data-sovereignty support

The shift is important: AI connectivity is becoming not just a transport layer, but a managed service opportunity tied directly to enterprise performance and uptime.

Source: RAD , Carrier Ethernet for AI

01/05/2026

AI agents are introducing a new traffic pattern at the carrier edge.

RAD describes these interactions as distributed, autonomous, highly dynamic, and latency-sensitive, increasing the need for:

• fast connection setup
• fine-grained traffic classification
• strict traffic isolation
• real-time prioritization

As AI-driven business services expand, the carrier edge is becoming increasingly important for maintaining predictable performance.

27/04/2026

As hybrid cloud adoption grows and AI workloads become more distributed, the need for bandwidth, security, and cost efficiency continues to increase.

At the same time, communications service providers are working to deliver high-capacity, low-latency connectivity between data centers and clouds, which is why 400G Ethernet interconnect is becoming increasingly relevant in next-generation network discussions.

Source: RAD RAD ETX-2i-400G for AI-Driven Digital Future

17/04/2026

IoT is scaling fast, and so are the demands on infrastructure and resilience.

A few figures worth watching:

✔ Worldwide IoT spending is expected to surpass $1T in 2026.
✔ Global IoT connections reached 22.3B in 2025 and are projected to keep growing.
✔ In one recent IIoT market estimate, the sector was valued at $514.39B in 2025, with manufacturing holding the largest share.
✔ IBM’s latest global benchmark put the average cost of a data breach at $4.88M.

The opportunity is massive, but secure and resilient deployment is becoming just as important as scale.

13/04/2026

IoT remote monitoring is no longer only about collecting data.

According to RAD, adoption is being driven by four core factors:
• data analytics and insights
• automation and operational efficiency
• predictive maintenance
• security and compliance

RAD’s end-to-end Smart IoT approach combines sensors, gateways, edge computing, and an IoT platform to enhance visibility, provide timely data and proactive alerts, and support remote monitoring across business, industrial, and distributed edge data centre environments.

02/04/2026

La tecnologia ci tiene connessi ogni giorno, ma in queste giornate di festa conta soprattutto riconnettersi con i propri cari.
Che sia un momento di pausa vera, serenità e tempo condiviso, quello che conta davvero.

Da parte di ERTLC, auguri sinceri di buona Pasqua.

27/03/2026

AI is reshaping Data Center Interconnect.

As AI-driven workflows expand across data centres, clouds, and enterprise environments, DCI is no longer only about capacity. The focus is also shifting toward assured performance, robust resiliency, operational efficiency, and cost-effective scalability.

For communications service providers, this is becoming one of the fastest-growing revenue opportunities, especially where high-capacity, SLA-based connectivity is needed to support more demanding workloads.

According to RAD, Carrier Ethernet is a uniquely compelling foundation for these next-generation DCI requirements.

20/03/2026

A key takeaway from RAD’s latest view on Carrier Ethernet for the AI era:

AI-ready transport is not just about more bandwidth. It also requires predictable performance.

As AI workloads become more distributed and performance critical, networks need high throughput, extremely low and predictable latency, very low jitter, and minimal packet loss.

RAD positions Carrier Ethernet as a transport foundation for these requirements through SLA based performance assurance, operational visibility, and multi domain service consistency.

Source: , Carrier Ethernet for the AI Era

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