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Unified Communications - Is Your Network Ready?

Beatrice Piquer-Durand

Through offering enterprises greater efficiency, connectedness and flexibility, Unified Communications (UC) software has become one of the most readily adopted technologies of the past five years. The growing millennial workforce expects remote-working and mobile connectivity as a standard component of the modern workplace, and UC presents a prime opportunity for management to supply their tech-savvy employees with the tools they need for maximum productivity.

UC technology promises to cut down on business travel; further reducing telecommunication costs and maximizing employees’ productivity and collaboration to enhance companies’ competitive edge. A recent survey from Network Instruments confirmed that since 2009 enterprise use of UC applications has roughly doubled, with the greatest growth being the utilization of video conferencing (27% - 63%).

However, the allure of connectedness and high definition video-conferencing technology comes at the cost of huge strain on the business network, often to the extent that many networks are simply not equipped to deal with the demands.
The millennial workforce that business leaders looked to inspire and motivate become exasperated by slow, inefficient delivery of UC applications; particularly bandwidth-heavy features such as audio & video conferencing, screen sharing and instant messaging. This ultimately leads them to give up on the service altogether and bring their own applications onto the network to get the job done, potentially slowing down the network even further.

Dreams of lightning-fast videoconferences with the Hong Kong office are marred by poor image quality and lag, making the whole experience unproductive and awkward.

Although this could be solved through the acquisition of more bandwidth for the network, this is an expensive, inefficient route, which garners no improvement in network performance, and many IT managers will be understandably wary having already invested in an expensive service. Enterprise-wide UC deployment doesn’t come cheap, and if not fully adopted then the cost-saving benefits won’t outweigh the deployment costs.

The key to ensuring the worthwhile investment in UC is having a network infrastructure with enough automation, flexibility and visibility (on a granular level) to automatically adapt to the shifting demands placed on it by UC applications. IT managers can then see in significant detail which applications are causing the network slow-down and prioritize those bandwidth-hungry, business-critical apps in real-time, ensuring that you get the most out of your UC package.

If your business is looking to deploy a UC service in the future you should act with caution. Look at the state of your network and consult your IT manager. If they don’t have full visibility over the network and the ability to prioritize on a granular level, then you may be investing in an expensive headache.

Béatrice Piquer-Durand is VP of Marketing at Ipanema Technologies.

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Unified Communications - Is Your Network Ready?

Beatrice Piquer-Durand

Through offering enterprises greater efficiency, connectedness and flexibility, Unified Communications (UC) software has become one of the most readily adopted technologies of the past five years. The growing millennial workforce expects remote-working and mobile connectivity as a standard component of the modern workplace, and UC presents a prime opportunity for management to supply their tech-savvy employees with the tools they need for maximum productivity.

UC technology promises to cut down on business travel; further reducing telecommunication costs and maximizing employees’ productivity and collaboration to enhance companies’ competitive edge. A recent survey from Network Instruments confirmed that since 2009 enterprise use of UC applications has roughly doubled, with the greatest growth being the utilization of video conferencing (27% - 63%).

However, the allure of connectedness and high definition video-conferencing technology comes at the cost of huge strain on the business network, often to the extent that many networks are simply not equipped to deal with the demands.
The millennial workforce that business leaders looked to inspire and motivate become exasperated by slow, inefficient delivery of UC applications; particularly bandwidth-heavy features such as audio & video conferencing, screen sharing and instant messaging. This ultimately leads them to give up on the service altogether and bring their own applications onto the network to get the job done, potentially slowing down the network even further.

Dreams of lightning-fast videoconferences with the Hong Kong office are marred by poor image quality and lag, making the whole experience unproductive and awkward.

Although this could be solved through the acquisition of more bandwidth for the network, this is an expensive, inefficient route, which garners no improvement in network performance, and many IT managers will be understandably wary having already invested in an expensive service. Enterprise-wide UC deployment doesn’t come cheap, and if not fully adopted then the cost-saving benefits won’t outweigh the deployment costs.

The key to ensuring the worthwhile investment in UC is having a network infrastructure with enough automation, flexibility and visibility (on a granular level) to automatically adapt to the shifting demands placed on it by UC applications. IT managers can then see in significant detail which applications are causing the network slow-down and prioritize those bandwidth-hungry, business-critical apps in real-time, ensuring that you get the most out of your UC package.

If your business is looking to deploy a UC service in the future you should act with caution. Look at the state of your network and consult your IT manager. If they don’t have full visibility over the network and the ability to prioritize on a granular level, then you may be investing in an expensive headache.

Béatrice Piquer-Durand is VP of Marketing at Ipanema Technologies.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...