Artificial Intelligence In Telecom: 5 Groundbreaking Findings Shaping The Future

It doesn’t take much research to know that telecom is one of the most consumer-hated industries. Out of the blue, this tells us two things about telecom in general. One, people need telecom. And two, telecom sucks at expectation management. In comes artificial intelligence. Like with every other industry that it’s touched, AI has come to telecom riding atop a pedestal of promises. However, Artificial Intelligence in telecom has been playing a vital role in the IT industry.

As it turns out, AI is delivering the goods in the telecom sector. Most importantly, every telecommunication company worth its salt is turning to AI to augment user experience and improve network reliability. Then, there is a whole new avenue of predictive maintenance. AI is kicking in big time to predict (and correct) faults and failures before they surface. Most experts believe that’s just the surface of what AI can do in telecommunications. Combined with machine learning, AI can help revolutionise the telecom sector for the better.

Here are five big ways artificial intelligence and machine learning are transforming the telecom sector right before our eyes:

5G Made Accessibility Easy

The US, the UK, and Korea have already rolled out their 5G accessibility in 2019. 5G guarantees greater bandwidths, higher speeds, and greater privacy. However, these additional features were not possible in previous generations. 

Meanwhile, artificial intelligence in the 5th generation has improved accuracy. It has enabled new connectivity and also enhanced layers of security at a fundamental level. Likewise, Artificial intelligence and 5G working together play a very powerful role in the new generation.

The Process of Systems Working Together 

MWC19 was an event organized in Los Angeles. It stands for Mobile World Congress. It was held from 25 Feb 2019 to 28 Feb 2019. That is to say, because the main theme of this event was mobile interoperability. This comes under system convergence.

IT Systems works on different standardized languages. It is impossible for two systems to communicate without using different dialects. To figure out what comes next, we need to step in and simplify it for humans to understand.

Data Organization

After the interoperability of the systems, AI plays a vital role in organizing the data.  Most importantly, standardized data is anyway more impactful. On the other hand, Artificial Intelligence reviews large batches of data and organize it in a way that is understood easily. Similarly, this helps in making better-informed business decisions.

Integrated chatbots and voice recognition are some examples of AI used in data organization. Similarly, it has become popular because of more time allotted to human interaction and discussion than standardization. 

Personalizing the experience

Meanwhile, the data is organized, it should be efficient enough for the business world. How does it help the telecommunication industry? Moreover, AI proves to be instrumental here as well. 

Personalization of services based on user preferences are on the cusp of breaking into the telecommunications scene. Identifying the user’s behavior and preferences and enabling personalized services is the forte of AI.

Customer satisfaction

Firstly, the usage of AI has cut expenses to a great level. Chatbots and virtual assistants automate to these support requests. They can handle a bulk of such requests without human involvement.

These virtual assistants automate the requests, analyze, and escalate customer queries if necessary. AI helps in identifying sales. Similarly, it also alerts the customer about other products and services. Keeping a track of all of this, AI improves customer satisfaction.

Automation 2020: 9 Key Trends To Watch Out For

Automation 2020: 9 Key Trends To Watch Out For

Automation is not a new phenomenon. It comes with its own baggage of promises of development, prosperity and what not. In today’s world, robots do most of the physical work and that too, at a cheaper rate than humans. But it is also capable of cognitive functions like sensing emotions or even driving. But how quickly would this automation become reality? It is important to know these automation key trends to predict future development.

Automation of activities has enabled growth both at an individual level and at the business level. Will these impact on the employment and global economy?

Here are some of the automation key trends to watch out for in the IT domain in 2020.

Automation of technology to replace humans

The technology used for automation of tasks that once required humans is known as Hyperautomation.

The application of machine learning and artificial intelligence is increasing to automate processes. A range of tools can also be automated in Hyperautomation. It can be also referred to as sophisticated automation.

The main goal of Hyperautomation is to increase AI-driven decision making. This can be achieved by including robotic process automation(RPA) and intelligent business management software (iBMS). While it’s not the main goal, but Hyperautomation often results in the creation of a digital twin of an organization (DTO). This is one of the important automation key trend of all.

Focus on immersive experience.

Technologies like AR (Augmented Reality) and VR(Virtual Reality) come under immersive experience. This is also known as Multiexperience. 

It is far apart from the traditional method of single point interaction. It covers multisensory and multi-touchpoint interfaces like computer sensors. 

For example, Dominos pizza added a smart speaker communication and pizza tracking feature to their app.

Easy access to technical and business expertise

The focus is to gain easy access to technical and business expertise without any extra cost or training. This is often known as Democratization. It is mainly based on application development.

Some of its key factors are data, analytics, and citizen access. Citizen access is also known as design and knowledge. This has also led to an increase in the number of data scientists, programmers and more.

Democratization would enable developers to rather rely on AI-driven development to generate code or automate testing.

Physical human augmentation

Changing or enhancing physical capability is Human Augmentation. A physical capability can be changed or enhanced by implanting or hosting a technology within or on the human body. This is used to enhance a human’s cognitive or physical experiences. 

Human augmentation mainly falls into 4 categories: Sensory augmentation, appendage and biological function augmentation, brain augmentation and genetic augmentation.

Cognitive augmentation enhances the ability of the human body to function, think and make better decisions.

Traceability and Transparency

Ethics, integrity, openness, accountability, and consistency are the five key elements this trend requires. As the evolving technology increases development and prosperity, it also creates a trust crisis.

Most of the times AI and ML are used to make a decision in place of humans. This evolves trust crisis. Such a condition drives the need for ideas like explainable AI and AI governance.

Edge Computing

Edge Computing is a technology where sources of information are placed closer to information processing and content collection. This reduces the latency by keeping traffic local and distributed.

This includes IoT. IoT stands for Internet of Things. Moving the key application and services closer to people and the devices is known as Empowered edge .

Provide Distributed cloud

The goal is to provide cloud facilities to users from outside the physical data centers. No matter if these cloud facilities are from outside the data centers, they would still be controlled by the cloud provider.

All the aspects of cloud service is the responsibility of the cloud provider. Owing to this, cloud centers can be located at different locations. This not only reduces latency but also solve stubborn technical issues.

Semiautonomous to fully autonomous things

The exploitation of AI to perform tasks usually done by humans is performed by Autonomous things. The Spectrum of intelligence ranges from semi-autonomous to fully autonomous things. It includes a variety of environments such as air, sea, and land.

Autonomous things include drones, ships, robots, and other appliances. These things are also used in collaborative swarms. For example, drones can be used in the Olympic games.

Security

Evolving technologies like autonomous things and Hyperautomation, lead to economic development. It also offers transformational opportunities in the business world. However, it leaves security vulnerable.

AI security could be vulnerable and could be a potential point of attack. Security teams must address these challenges and be aware of how AI will impact the security space.

Creativity and strategy are still human skills even though the world is getting automated rapidly. Bots can automate a multitude of designs and admin tasks but cannot automate creative thinking. It’s simply a matter of identification as in which things are done manually and which things need your input and imagination