Closing the Connectivity Gap to Fuel the Future of AI

The Impact of AI on Digital Transformation: The Shift Towards Edge Computing and Cloud-Native Mobile Connectivity

The Rise of AI: Transforming Enterprise Connectivity

In today’s digital landscape, the era of cloud and SaaS is evolving rapidly, thanks to the emergence of artificial intelligence (AI). The demands of AI far surpass those of traditional software, with AI models consisting of millions, sometimes billions, of parameters and requiring large streams of real-time data. This shift has led to a significant change in how deployments are being handled, with a focus on edge computing rather than central cloud or remote data centers.

One of the main reasons for this shift is the need for network reliability and real-time data exchange, both of which are essential for AI applications like autonomous driving systems and real-time fraud detection. As a result, mobile connectivity has become a critical component in ensuring the success of AI-driven initiatives.

However, ubiquitous mobile coverage, especially at the quality needed for mobile AI use cases, is lacking in most enterprises. Traditional connectivity solutions like private slices through carrier networks or Wi-Fi are insufficient to meet the unique demands of AI-powered applications. This has led to the need for a cloud-native model for mobile connectivity, which offers resilient connectivity, greater mobility, and seamless operation across enterprise and mobile service providers.

This cloud-native model not only facilitates faster service deployment but also paves the way for a robust, secure, and agile mobile infrastructure capable of supporting the next generation of edge-based AI-driven applications. Practical applications of AI at the edge include drones and swarming coordination, robotics in manufacturing and supply chain, security surveillance, and IoT devices and sensor networks.

In conclusion, a cloud-native model for mobile connectivity will be key to unlocking the full potential of AI in enterprise settings. By integrating with existing infrastructure and security policies, this approach ensures seamless operation, reduces total cost of ownership, and enables a diverse range of AI-driven applications at the edge. The future of enterprise connectivity is here, and it’s powered by AI.

LEAVE A REPLY

Please enter your comment!
Please enter your name here