The vast array of assets that combine to form telecommunications networks makes the traditional telco business model highly capital-intensive (i.e. expensive – to build, operate and maintain). Moreover, due to the challenge of managing a range of parallel tasks such as customer orders, field work / workers / activities, network capacity, network health and customer payments, there is a pronounced, but often under-recognised, reliance on asset management data.
Automations of all shapes and sizes have long been seen as the panacea for all telco network operations problems. They are intended to deliver swift and precise network planning, deployment, and management, reducing the potential for human error and optimising workflows. Network Lifecycle Automation (NLA) is a relatively new term being used in the telecommunication industry to incorporate the many different forms of telco ops automations. NLA aims to categorise the automations that change the way that networks are designed, deployed and managed. Many of these forms leverage the power of AI (Artificial Intelligence) to help network operators to be more efficient and effective.
For those with long histories working in the telco industry, it may elicit a wry smile to hear the buzzword that Digital Transformation has become in today's business landscape. Organisations across almost every industry are embracing technological advancements under the banner of Digital Transformation. It makes sense to use digital technologies to stay competitive, deliver superior customer experiences and drive operational efficiencies of course. However, for the telco industry, the path to successful digital transformation has been one we’ve walked for decades. This experience has made us well aware that these projects are often fraught with challenges and hurdles that require careful navigation.
Customers expect uninterrupted network connectivity from their telco services providers so telcos have to grapple with the enormous task of sustaining peak network performance for every minute of every day. This involves managing the sophisticated mix of physical, logical and virtual resources utilised by today’s networks, all while adapting to a constantly evolving customer / service landscape.
We all know that Operational Support Systems (OSS) are an integral component of modern telecommunication networks. We also know how important they are to enable efficient management, control, and maintenance of network infrastructure. Implementing them well is essential for any modern network operator. However, if you’ve implemented OSS transformation projects, or are currently on the journey of implementing an OSS, they can often be fraught with challenges that make even the most seasoned OSS expert question their sanity. They can be so challenging that if you didn’t laugh, you’d cry.
Generative AI (artificial intelligence) models like ChatGPT have grabbed the world's attention over the last year. In response, many applications of generative AI have been appearing across almost every industry. As a technology leader, the telecommunications sector, particularly the Operations Support Systems (OSS) and Business Support Systems (BSS) industry, is no exception.
You already know that the telecommunications industry is one of the most critical industries in the world, responsible for keeping people connected and businesses operating. The global network of communications infrastructure requires constant attention, maintenance, and upgrading. Obviously, this requires a large and diverse workforce.
Have you or any of your colleagues been tasked with designing a major new network area, such as a new housing estate, development area or even an entire city or town?
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