Gartner forecasts that in 2020 there will be more than 20.4 billion devices on the Internet of Things (IoT). That’s 20.4 billion devices connected, collecting data, and communicating with each other. Given the billions of data bits that flow through the telecom industry’s networks, customer files, cloud applications, and billing protocols, we believe that AI is here to stay. The most important competency for communication service providers’ future is acquiring the capability and knowledge on how to combine the latest AI-based technology with real-time orchestration. If you don’t do it yet, here’s why you should.
Network Optimization. Artificial intelligence (AI) driven software uses algorithms that allow them to search through voluminous data for patterns. This, in turn, allows telecom providers to not only unmask network glitches but also predict when an aberration may occur. Both of those abilities give them the heads up to fix the problems before they cause headaches for customers. A few examples of AI-driven software that applies to telecom use are:
- ZBrain Cloud Management. ZeroStack’s software analyzes cloud storage and uses it to promote superior handling of cloud volume requirements, upgrades, and management.
- Aria Networks. This software company says it helps networks do more with less. Aria Networks continues to see a growing number of top-level operators (Tier 1) using its optimization software.
- NetFusion. Sedona System’s application boosts traffic routing and accelerates 5G services distribution.
Preventive Maintenance. Predictive maintenance refers to the ability to predict future events based on historical patterns. AI analytics helps telecoms use insights gleaned from data analysis to remotely monitor equipment, foresee failures based on those patterns, and fix maintenance issues before they become customer problems. For example, AT&T is using AI-enabled drones to expand mobile communication coverage (LTE) and to analyze data collected by drones to support and maintain cell towers.
Virtual Assistants. Industry observers expect that conversational AI platforms, like Vodaphone’s TOBi and Nokia’s MIKA, will reduce business costs by $8 billion a year in 2022. TOBi handles a wide ambit of customer service questions, which helps provide the speed that digital-savvy customers demand. MIKA offers answers to network issues leading to better resolution rates. Alexa, the darling of Amazon, partners with Dish Network to make buying things easier using voice commands rather than a slower remote control. Combining visual access with interactive voice response in the virtual assistant system promotes faster responses and better customer relations.
Robotic Process Automation. RPA (Robotic Process Automation) is helpful to telecoms because telecom systems have a myriad of back-office operations that rely on repetitive, rule-based actions. RPA helps streamline and automate these otherwise complex and time-consuming actions. Examples of RPA assistance appear in billing processes, data entry, scheduling workforce, and fulfillment duties. While computers carry out the mind-numbing repetitive duties, human staff are free to spend more time on critical tasks like growing the business.
What advantage does real-time orchestration give telecoms?
Cloud orchestration refers to the programming techniques that manage interactions between workloads on public and private cloud frameworks. Cloud orchestration connects automated tasks so that the frameworks form a compatible team that works together to accomplish the company’s goals. Real-time refers to a system that processes requests in milliseconds, which makes the feedback seem immediate. Cloud orchestration helps Telecom service providers offer an increased number of diverse products, services, more flexibility, and delivery at greater speeds. Service orchestration provides the answer telecoms need. Service orchestration provides automation of repetitive tasks, whether those tasks are on-site or in the cloud or even on virtual machines. Service orchestration also provides cost savings as it leads to a reduction in capital expenses and greater efficiencies as telecoms deploy new services and products faster. SDN orchestration (software-defined networking) also creates the opportunity to tailor products to a customer’s needs by automated programming of network behaviors to provide seamless coordination between hardware and software as they support various applications and services.
Combining real-time orchestration with AI-driven applications creates a more efficient, speedier workload and permits the creation of diverse products ready to respond to customer demands.
To talk more about this, or anything else, please contact us.
To learn more about cloud orchestration, you may enjoy the May 22, 2020, article from newsdistrict.com entitled “Cloud Orchestration Market Newer Segments of Application 2025.”