Artificial intelligence (AI) promises to provide increased productivity and reduced costs to businesses. However, despite many pilot projects, its adoption remains limited.
An IBM study reveals that only 25 % of AI projects have reached the expected return on investment. To understand why, you have to examine what all modern technology is based on: connectivity. Without an adapted infrastructure, even the most advanced technologies fail.
A recent study shows that 88 % of business leaders in Europe estimate that a new era of connectivity is necessary to fully exploit the benefits of AI. (1) Indeed, technologies such as AI generate and consume huge volumes of data to operate effectively; They therefore require a network offering both a strong bandwidth and a low latency. Fortunately, 5G and wireless extended networks (WWAN) can meet this need and play the role of strategic catalysts for innovation, resilience and success of long -term businesses.
An infrastructure that slows down AI
The deployment of a fiber cable can take weeks and, in dense urban areas, cause strong disturbances (work on roads and sidewalks). This generates delays and additional costs.
Not only are obsolete networks restrictive, but the increasing pressure can quickly make them unstable, directly impacting productivity. More than a quarter (28 %) of companies combine unreliable connectivity with loss of income, and 46 % estimate that it increases their operating costs. However, many still consider the improvement of connectivity as a simple computer problem, and not as a strategic priority.
While AI is deeply integrated into all operations, this state of mind must evolve. A failing connectivity slows down the progress at each stage – from migration to the cloud to the operation of the AI. To overcome this, companies must invest in secure, scalable and prepared in the future networks, capable of strengthening their resilience. In this context, 5G and wireless extended networks represent the solution.
A catalyst for productivity, sustainability and growth
Connectivity is now a business lever, and no longer just an IT function. AI use cases are increasing, but their success depends on reliable and secure connectivity. More and more companies are based on cellular networks to open new perspectives – whether it is to broadcast high quality videos live for emergency emergency, or deploy safety systems boosted by AI in the retail sector.
Likewise, the low latency and the wide bandwidth of 5G allow real -time visibility on critical operations, thanks to the simultaneous management of multiple IoT devices. In time -sensitive applications, the issue is vital: during an emergency, even a slight delay can have major consequences. A robust network infrastructure then becomes not only an advantage, but a necessity.
Sustainability is also at the center of concerns. Many companies say that their ability to collect data on their emissions is limited by insufficient connectivity in remote areas. Putting fiber in certain areas is often expensive and too long. Conversely, cell connectivity settles quickly and can be managed remotely via cloud tools, facilitating the installation of IoT sensors and devices on various sites. Centralized network management allows teams limited to resources to easily deploy and administer these infrastructure.
A mutually reinforced relationship
The profits do not only go in one direction: the AI already improves the performance of the networks. Capable of analyzing enormous volumes of data, it reduces the load of IT teams and secures infrastructure by detecting anomalies. More and more organizations are using AI to transform wireless extensive networks and private 5G networks into intelligent systems, optimizing performance and resilience.
There are already solutions on the market where AI provides for traffic diagrams, effectively manages network resources and identifies the profound causes of problems by proposing remediations. These tasks release IT teams to focus on strategic priorities.
The AI is not limited to maintaining the current performance of wireless extensive networks: it also helps decision -makers to plan the future development of their network. By operating AI for data analysis, automation and predictions, companies have finer information to guide their choices in terms of costs, performance and optimization.
The future of AI begins with the right infrastructure
AI has the potential to transform industries in depth, but only if the underlying infrastructure is there. Modern and reliable connectivity is now a business necessity, making 5G networks and wireless extensive networks of essential growth levers.
We only start to see what the association between IA and connectivity can accomplish. Companies must consider them as a strategic duo, which is mutually reinforced to stimulate innovation and value creation.
