Quality data, digital twins and AI/ML will all help operators enable end-to-end automation in a multi-cloud environment
Managing the complex components of a multi-cloud environment is proving to be a monumental challenge for network operators, especially coupled with the growing need for automation techniques driven...
For F5, it’s not just about delivering these applications at the edge; it’s also crucial to secure them once they’re there
According to F5’s Senior Solutions Engineering Manager Chas Lesley, prioritizing application location and delivery is “critically important” for multi-cloud interoperability. The smartphone made it...
Edge resilience, according to Volt Active Data’s Chief Product Officer Dheeraj Remella, is a ‘multi-pronged endeavor’
By utilizing edge technology, telecom operators can improve their own operations and enable new applications and use cases; however, the edge must be close to the premises in order...
Examples of how operators are using AI today include network anomaly detection and root cause analysis
Telecom companies have been using artificial intelligence (AI) and machine learning (ML) in their operations for years. However, the current telco environment sets the stage for further innovation around...
Telefónica's Multi-Cloud Tools Manager: 'There is no one single type of a cloud that serves everything equally'
Panelists at the recent Telco Cloud and Edge Forum discussed the future of telco cloud strategies as they work to balance the need for innovation and the ability...
In a more open and flexible network environment, the attack surface has been 'opened up'
Emerging technologies like cloud, edge and AI represent serious opportunities for telcos when it comes to network performance, efficiency and potential new revenue streams; however, they also present a host...
Telcos are recognizing that in order to monetize the potential inherent in cloud-native networks, they must simplify the interface for developers
While open Application Programming Interfaces (APIs) were a big topic at this and last year’s Mobile World Congress in Barcelona thanks to the GSMA...
The 'deep use of AI' can drive hyper personalization through carriers' omni channel products
During a session at Google Cloud Next ’23, Ankur Jain, VP, Google Cloud for Telecom and Google Distributed Cloud, said that Google is using AI and data to help CSPs “reimagine...
With AIOps growing in the telecom space, many are wondering just how much autonomy these tools will be given
To keep up with growing network complexity, telcos are applying automation techniques enabled by AI and ML in as many network operations as possible. As a...
To keep up with growing network complexity, telcos are applying automation techniques enabled by AI and ML in as many network operations as possible
As 5G continues to evolve, it also continues to become more complex. Virtualization and disaggregation are happening in tandem with deployment...
It's important to look at AI holistically and to not rule out more traditional machine learning models, says Google Cloud’s VP/GM Sachin Gupta
Anything can be AI (Artificial Intelligence), Google Cloud’s VP/GM Sachin Gupta, told RCR Wireless News at Google Cloud Next, which took place last week...
AT&T’s VP of Network Analytics & Automation said that the telco is already using AI across its entire operations chain, from day zero to day two
Thanks to consumer-facing applications like Chat GTP, artificial intelligence is — an already hyped technology — is reaching a...
In June, AWS announced a $100 million investment to develop a center to help enterprises use generative AI (GenAI), the technology behind OpenAI’s ChatGPT chatbot. The AI innovation center will offer generative AI testing and training services and will be staffed by data scientists, engineers and...
Benefits of hybrid AI include data security, context and efficiency
With generative artificial intelligence (AI) poised to permeate virtually all types of consumer and enterprise applications, network architecture becomes increasingly important. If the goal is to use AI to quickly make a decision and effect...
Running AI workloads at the edge enables better economics, faster decision making and automation
If you look past the hype, look past the technological complexity, look past the protracted proofs of concepts, 5G is all about leveraging a high-bandwidth, low-latency air interface to move data,...
Discussion around generative AI has quickly become a mainstay in conference presentations and earnings calls. The predominant thinking is that if you’re an enterprise, including a mobile network operator or other communications service provider, you’ve got to have a plan to put generative AI to...
Edge federation refers to the interconnection and coordination of multiple edge computing resources and services from different providers, in order to deliver a more comprehensive and distributed computing infrastructure. In a recent interview at the Telco Cloud & Edge Forum, Deutsche Telekom Product Manager...
The first part of this Q and A with Vodafone’s Joanna Newman, senior director of technology partnerships, covers the operator’s dedicated vs. distributed MEC approach, the logic behind its various hyperscaler partnerships, and addresses how many MEC use cases involve common sets of building...
Whether its considering a private 5G network coupled with a dedicated mobile edge computing (MEC) solution for an enterprise, or a consumer-facing use case that taps into more widely distributed computing infrastructure, Vodafone has recognized that addressing this nascent space requires a strong focus on...
MEC is delivering low-latency, real-time enterprise applications
As has been pointed out by operators on recent earnings calls, the market for advanced 5G-enabled services—things like mobile edge computing (MEC) combined with public and private 5G, and private 5G itself—has been slower to create revenues than...
MEC applications, architectures and go-to-market strategies
Mobile edge computing (MEC), particularly when combined with cellular connectivity, is seen as a new revenue driver for both operators and hyperscalers. In fact, market dynamics are pushing the two increasingly closer together in terms of developing, packaging and...
Cloud-native OSS/BSS should reduce opex and drive automation, but this requires technological and organizational change
Before getting into expert commentary on cloud-native OSS/BSS provided during the recent Telco Cloud & Edge Forum (available on demand here), it’s important to understand what operational support systems (OSS)...
As operators move into the telco cloud era, which deployment option(s) will win out?
As the title of this piece—and the Telco Cloud & Edge Forum session it’s based on—suggest, it seems that the two most likely outcomes for operators on a long-term journey to...
The benefits of cloud-native RAN include efficient scaling, dynamic orchestration of microservices and enhanced security
Operators are steadily working to become cloud-native from the core to the radio access network (RAN) all the way out to edge computing nodes. The rationale is two-fold: a cloud-native...
