From the advent of telecom-based communications, technological evolution has been happening at a breakneck pace. From the early days of rotary dial phones and tone dialing quickly came voice-over IP and IP telephony. These technologies changed the world of telecommunications as traditional TDM technology transformed into VOIP.
While the industry was settling down with the IP revolution, SIP emerged into the telecom arena and caused a new wave of changes, offering diversified yet simple tools and multi-modal communication means. The invention of SIP changed the way people communicate, moving away from vendor agnostic hardware and end-points and making it conducive to use any device.This BYOD (Bring Your Own Device) concept provided greater flexibility and ease of use. It also revolutionized calling through service providers, thereby bringing down the overall cost of calling.
In the next wave the telecom evolution, automation hasthe telecom industry by bringing advanced tools and sophistication. The overriding objective of automation isto be more responsive, focused and efficient in resolving or pre-empting faults, while also reducing operational costs and avoiding unnecessary expenditure. Automation offers tremendous benefits for telecom and its diverse base of customers as we move into an era of a more aggressive and challenging market.
As telecom companies are adopting technologies like virtualization and SDN, artificial intelligence is also going to play a big role in the integration of these technologies and the automation of networks.
On the end user side, AI and machine learning will help telecom operators in subscriber profiling, as well as in analyzing offer conversion rates, content usage trends, and network activity. This will help them push offers that are tailored as per user needs at the right time.
Emerging technologies such as IoT and the cloud are enabling networks to handle higher volumes of data, therefore making automation an imperative for better network planning and connectivity. Big data analytics, AI and machine learning capabilities will enhance the customer experience through automated detection, troubleshooting and optimization of telecom networks.
AI-based intelligent network applications such as precision algorithms can provide intelligent network optimization solutions, as well asadvanced tools for network operation and maintenance. Further, AI technology will also lead to the evolution of automatic, self-optimizing and self-healing networks, complimented with high-performance computing power and data analytics capabilities.
AI-enabled networks can think beyond their correlative programming and suggest outcome-based scenarios. In the future, AI will be able to differentiate between correlative and causal, and proactively pursue their own choice of outcomes beyond the scope of human programming, and before any problems are noticed by the end users. It’s an exciting time for the telecom industry, and these new technologies are enabling us to be more efficient, effective, and connected than ever before.