Managing The Increasingly Distributed and Complex Enterprise Edge in a Borderless World Through AIOps

September, 2022
Author: Rob Sese

The fundamental changes to enterprise networking in large part brought on by the dramatic impact of the pandemic, leading to highly distributed workforces came at a time when more sophisticated software, AI and machine learning tools were coming into their own a few years ago.

IT teams were forced to figure out how to continue to support every employee, regardless of where they were working from by ensuring secure access to corporate resources, from business applications to data bases, and from basic communications (voice, email, and instant messaging) to increasingly sophisticated collaboration platforms (Microsoft Teams and competitive solutions including Zoom, WebEx, and the like).

IT teams had never seen the variety of conditions they experienced when it came to available bandwidth, types of end-user devices, a steady stream of cyberattacks, and at home, having to share connectivity with other family members who also were forced to work from home and learn from home.

It felt impossible to manage – and frankly it was impossible to manage without benefit of automation and optimization tools.

At ConnX, we were fortunate in that we established our AIOps and network automation solutions well in advance of the arrival of the pandemic, knowing that with the inevitable arrival of more options for enterprise connectivity and computing (including the advancement of wireless private 5G/LTE alternatives to traditional wired and WiFi scenarios) we had to invest in the future for our Fortune 500 customers and others.

Foundational changes happening in network technologies and topologies required a reimagining and reorganization of operations within our own Managed Services business, all in service of assuring predictable cloud-first approaches – cloud-first and mobile-first.

The circumstances simply and immediately accelerated the transformation we had well-underway, which enabled us to help our customers transform – in some cases over a weekend.

What was already a dramatic evolution became truly a revolution – one that was made possible by the adoption of not just operating software, but the intelligent algorithms built into network and application automation, which is at the core of our Maestro platform.

Working with mission critical partners like Juniper, we successfully rolled out national and global AI-driven automated solutions, with AI/ML-based closed loop assurance that would not have been possible a few years ago.

We have always been steps ahead of our competition because given the size, scale, and sophistication of our global enterprise customers, we must be.

With the rapid emergence of programmable network technologies, and exciting new technologies including 5G network slicing, our network and service operations (NOC/SOC) teams can address simultaneous challenges, on a spectrum that covers day-to-day continuity (24/7/365) to the ability to respond to extraordinary circumstances (including disasters).

Beyond uplifting our customers to cloud and edge connectivity and computing, optimized to not only work, but to make economic sense with “XaaS” (Everything as a Service) and an opex vs. capex approach – we are also very involved in planning for future improvements, including introducing our customers to IoT and Industrial IoT solutions that deeply benefit from the same AIOps environment, driving a greater return on their investments in transformed networks.

The most exciting news may be found in data analytics, which go beyond end-to-end observability to end-to-end business insights.

With Maestro, we combine and correlate the performance data coming from multiple, previously siloed assurance systems, network layers and domains.

To drive excellent customer experiences and service, Maestro can help organizations prioritize the analysis and resolution of problems based on the impact on the end-user’s customer experience and revenue, extending “predictability” to “personalization” of service.

Maestro means we can guarantee the highest enterprise SLAs at scale – right down to the end user, wherever they may be connecting from.

Maestro also makes possible OPEX management and reduction through automation and AIOps, down to every business unit, correlated to every application (for example the usage of Microsoft Teams and cloud consumption, with reporting fed by the data being collected and itself automated in analytics).

And our breakthrough AI Assure Active Assurance service provides premium, proactive and continuous synthetic testing.

We’ve moved way beyond the traditional definition of “Unified Communications” to “United Collaboration” – through AIOps focused on delivering customer experience, service, and network assurance – with our AI Assure offering which ensures an optimum ROI from their significant network transformation and modernization investments.

As you continue to plan your 2023 connectivity and compute initiatives and budget, a fifteen-minute investment of your time may prove to be the best ROI you’ve experienced. You can reach me at

The Future of Intelligent Networking: End-to-End Observability and AI Ops

The Future of Intelligent Networking: End-to-End Observability and AI Ops

Network technology has changed greatly since the advent of digital transformation, as businesses stray away from traditional networks and gravitate towards cloud-native networks. The transition comes at a time where the business world is shifting towards remote/mobile work.  Today, almost half of the workforce is expected to be mobile in some form. As technology use along with remote work continues to rise, cloud-native networks are set to become commonplace for enterprises in all industries.

Going Back to School with Immersive Learning and Hyper Connected Campuses

Going Back to School with Immersive Learning and Hyper Connected Campuses

In an increasingly digital environment, the education system has continually harnessed an array of innovative devices and solutions, integrating them into the learning process to great effect. The introduction of key technologies such as Machine Learning (ML) and Artificial Intelligence (AI) have fundamentally altered how faculty teaches and how students learn in the higher education realm.

AI SD-WAN and AI Wi-Fi at the Edge Gives Universities a Competitive Edge

AI SD-WAN and AI Wi-Fi at the Edge Gives Universities a Competitive Edge

The trend of digital transformation has forever shifted the way work gets done, most notably creating a new emphasis on network speed among enterprises. Between remote/hybrid work environments and the abundance of innovative devices and applications being adopted, agility and efficiency are now at the forefront of organizations’ minds when looking for new network technology.

Smarter Campus Connectivity Innovations with Edge-to-Edge Observability

Smarter Campus Connectivity Innovations with Edge-to-Edge Observability

The need for high-speed network technology is now a priority for enterprises around the world, regardless of industry or vertical. Digital transformation has sparked a swift adoption of innovative devices and applications by organizations of all shapes and sizes, with the demand for fast network speeds growing alongside the number of technologies in use.

Are Predictable, Productive, and Profitable Experiences Possible in A Borderless World of Work?

Are Predictable, Productive, and Profitable Experiences Possible in A Borderless World of Work?

The network is at the heart of supporting a borderless workforce and reliable communications are table stakes today. Companies and their clients want a frictionless experience with predictable business outcomes. They want end-to-end, client-to-cloud observability with continuous testing and validation of service availability, and they want it delivered virtually. Can cloud-first applications and faster broadband networks live up to the challenge?

X Marks the Spot in a 5G Hyperconnected World

X Marks the Spot in a 5G Hyperconnected World

With faster speeds, the rapid growth of private 5G enterprise wireless alternatives, more sophisticated applications, more powerful devices, and the work from everywhere phenomenon showing no signs of slowing down – those leaders responsible for ensuring performance, protection, and productivity are struggling with the next wave of digital transformation and the hard reality of 2023 IT budgets.