The primary workflow challenges in the telecom industry are familiar to network operators. Teams use different back-end systems and different mobile apps that don’t digitally integrate or communicate. As a result, data becomes siloed, and the problem exacerbates over time as processes repeat. 

Traditional telecom companies are moving towards a brand-new avatar: the techco. Learn the key steps to adopting the “everything as a service” mindset in a telecom set-up - a crucial differentiator in the roadmap to becoming a techco.

Edge computing seeks to revolutionize how data is analyzed, processed, stored, and acted upon, marking a significant departure from the conventional cloud-centric approach by moving compute resources closer to the data source. Learn more about how the modern-day enterprise edge changes the present-day paradigm and how Kubernetes represents a compelling solution for edge computing and distributed resource management.

Vendors today leverage the Kubernetes CSI to introduce advanced data management features, enhance performance, scalability and security. Let’s explore how these innovations are particularly crucial for enterprises operating at the edge, where efficient and reliable storage solutions are paramount.

As organizations adopt containerized environments, managing storage becomes a complex challenge, especially for stateful workloads. Enter the Kubernetes CSI, which has transformed storage management. Let us delve into how CSI can revolutionize enterprise storage, particularly at the edge.

This report examines how open RAN offers telcos a path to reclaim competitive relevance by enabling more flexible, interoperable network architectures. By facilitating a mix of vendor solutions, open RAN reduces operational costs and enhances service capabilities, allowing telcos to provide bespoke connectivity. Download now to learn more!

The accelerating pace of digital transformation is reshaping business operations and increasing demand for cloud services adding new challenges on network infrastructure and security. Read part 2 of the new e-book from NCR Atleos on SASE and learn how you can identify strategies and timing to transition your enterprise to Managed SASE. 

This white paper highlights the importance of tailored platform engineering to manage the complexities of GenAI initiatives, emphasizing the need for optimized infrastructure, data governance, and model observability. Download now to learn more.

As AI and Generative AI (GenAI) transition from experimental phases to core components of business strategy, enterprises must refine their approach to scaling AI inference at the edge. With over 90% of investments in MLOps and LLMOps focusing on inference rather than training, this white paper underscores the critical need for specialized edge operations. Download now to learn more.