With the daily tech inventions, the world is making a significant move towards an intelligent globe experiencing and experimenting with the raw data with innovative ideas. Technology gets a regular promotion, and its pace is remarkably surging that was never imagined in the past.
Such an incline in the transition has led many Marketers to exercise the attributes of Artificial Intelligence and Machine Learning. The terms infer the intelligence demonstrated with the help of machines and focus mainly on two exact keywords- “learning” and “problem-solving”. Even IoT (Internet of Things), the new big thing, is set to raise the automation standards dispensing great deals to a user without human interaction.
The telecom sector is the one who has started reaping the benefits of such clever technologies to enhance their customer services and network channels. The industry compiling and connecting the aspects of computer learning has brought new opportunities to deploy the end users with eccentric services and real value for money. Moreover, analyzations into the same, tend to believe that telecommunication joining hands with AI, definitely will open new prospects in revenue streams as well.
Before proceeding further let us see the potential of Artificial Intelligence offered in its applications giving semantic results:
- Traffic classification
- Resource Utilization
- Data Optimization
- Autonomous decision making
These are the few traits you can witness running in the background of apps with computer learning principles satiating the customer at last.
Apart from making the world intelligent through introducing concepts of Smart Homes, Smart Phones, Self-Driving cars, Smart Cities etc., it gives you a chance to delve deeper into revolutions occurred in the communication industry too. To name a few:
Customer Oriented Chat Bots:
Functions like automating user inquiries, redirecting them to specific agents, getting post feedbacks all are done with the use of AI and ML executions.
Enables the customers to explore the vast media content, even purchase of items is allowed by a word of speech eliminating the old methods of remote controlling
The detecting signals help to fix issues with telecom hardware such as tower connectivity, power line supply well in advance to may lead to failures and bad aftereffects.
These are the few ubiquitous paradigms been evident and in use by various Telecom firms such as AT&T and Verizon aiming to provide some effective initiatives to the people who can experience them with great ease.
Need to Involve AI in Mobile Networks :
The universe is on the headway following the Artificial Intelligence Engineer breaking the old norms and bringing breakthroughs in the materialistic market of technology, nevertheless, the need still holds a grip to be applied in the Mobile industry. The increase in numbers of users is pro rata to the rise of network bandwidth that needs to be tackled efficiently optimizing the network quality along with traffic congestion. Companies’ interests have been driven by a few terminologies, Self Optimizing networks (SONs), Software-defined networks (SDN) & Network Function Virtualization (NFV) that fulfills the hourly need of various Telcos to automate their networks and services.
The idea of intervening in the Network industry with deep machine learning concepts seems viable as it adds dynamism and intelligence to the systems giving intended proactive and reactive implications. Additionally, the ever-rising network upgrades also force the operators to expand their scope by deploying technologies with peer engagement with the IoT concept to extract hefty profits in the forthcoming years. Besides, you must look at the individual benefits gained by the service provider and the e-devices.
Benefitting the subscriber, the operator with AI and ML features will be able to do user’s profiling, analyze conversion rates, data usage as well as web connectivity which will further push the service dealers to provide tailored packages and offers to their customers completing their present requirements. Also, predictive monitoring would surely aid them to suffer from the consequences of rundown.
Looking at the flipside, AI applications built in the mobile devices have a lot to address the varied set of problems that may occur due to increased utilization. Virtual/Smart assistants, within few coming years, will get ready even to take the place of a human and deal all the customer-service tasks by its own on single voice command. Innovation and improvements in the key technologies- voice recognition and natural language processing, has led reputed tech giants to launch tech assistants such as Apple’s Siri in iPhone.
Soaring Video Usage :
Another major point of discussion is the Internet traffic extracted via audio-video sources which call for a need of Smart Video Revolution. The range of progress of this field, as predicted by experts is such that the sole contribution of video traffic pulled over the web would be 80% of the internet traffic by the preceding year 2019.
As the pace of speed is increasing exponentially, the demand for 5G, 6G or even beyond would not cease and catering the future demands, Network Providers have to explore the treasure from Artificial Intelligence for better quality data and high video grades. To quest the thirst of users seems challenging for the operators that can be achieved, however, sticking to the old school methods would undoubtedly cause a hindrance to their market growth.
Required Automated Service Delivery
While managing the dynamic and robust network, one realizes to the improve the connection from the performance point of view for it acts as the primary need, simultaneously the companies must pay heed to the promises of service to be delivered. In a network-centric business, the decisions of how and when to change come into play resolving the issues and opening doors of progress.
The present installed CRM systems are less equipped to support various customer based elements that, at some point in time, would overlap the functionality and mechanisms. Thus, CEM(Customer Experience Management) is to be introduced which comes with a package consisting of website quality detection, auto-adjusting internet parameters, service quality detection and addressing performance and security needs in real time. Mobile and Network providers integrating the CEM solutions with CRM can help improve the qualitative user interaction, service logs, requests and complaints and channel portals using AI, ML, NLP and DL technical parameters which shows how smoothly Telecommunication can be transformed.
AI arising Revenue Streams for Telcos :
The Tele Network industry is related to monetary terms like controlling operating expenses, labor costs, hardware costs etc. that can be quickly dealt with AI-driven automation solutions, therefore, reducing the economic pressures over network operators. A market report by the Tractica says that the investments made in the AI and ML software/ hardware services through the telecommunication business will account for $36.7 billion by 2025. The report after examining the market and technical surroundings showcase the key revenue characteristics dealing the telecom-AI deployments inclusive of IT/Network operations, monitoring and management, marketing and customer services, CRM(customer relationship management) systems, cybersecurity and a lot more.
Featuring the vital aspects of technical intelligence( machine reasoning, deep learning, natural language processing) the summary of data forecasts the booming revenue figures till 2025 comparing global markets. Most service providers having faith in Artificial Intelligence, continue to experiment with its applications and implementations to accelerate their growth, performance as well as turnovers. And the days are not that far where most electronic devices would empower AI, ML, and IoT in the background.
To get the most out of the smart technologies and high-tech applications, there occurs a need for Telcoms to make a call-for-action for an intellectual revolution to run on parallel grounds meeting the present and the future customer wants. It is required and imperative to become wise, following the road to network intelligence adhering the three steps of acquiring success: Automatic, Adaptive and Autonomous.
Telecom industry can reap huge benefits from voice assistants, AR(Augmented Reality) and VR(Virtual Reality) features which again are the segments of machine learning. At last, its success oriented solutions are vital for an establishment to make its online presence and have a good customer base as these have become the need of the hour for a business’s transformation in the real sense.