5 tech trends for telco in 2021: security, advanced analytics & more

The telco industry isn’t slowing down: what to expect and prioritize in 2021

Here are five trends predicted to shape the telco industry in 2021. We expect these areas and developments to be essential in continuing to boost customer satisfaction, drive innovation, and facilitate optimal delivery for telecom organizations across the globe.

1. Better ways to source and leverage data

These refer to individual’s activities, preferences, or behaviors, sourced through facial recognition, location tracking, and other such technologies. Real-time health monitoring and compliance have become essential during the pandemic, and this trend will likely carry over into this year.

2021 will also highlight strategic ways of dealing with data: enabling a 360-degree view of the customer, employee, and user in order to provide support and security regardless of location; and transforming data intelligence for more timely, nimble, and richer insights.

Related: MDM in telcos: Why it’s important and how to automate it through ML

2. Enhanced protection against emerging threats

2021 will put the spotlight on cybersecurity. Strong strategies and policies to mitigate cyber threats, security of cloud-based applications and networks, and trusted transfers of data will be critical to business success. These processes can be further enhanced with the help of artificial intelligence for IT Operations (AIOps). With AI, identifying cyber irregularities and detecting suspicious online behaviors can be automated to prevent cybersecurity threats in near real-time.

3. Faster and more reliable cloud computing

Not only does a distributed cloud infrastructure lower latency and improve performance for telco cloud services, it also enables a single control pane on one cloud environment to manage and access computing resources. Combined with a clear DataOps strategy and policy, this model also optimizes compliance strategies for regulatory concerns.

4. Improved AI production pipelines

To optimize the production of telecom artificial intelligence projects, 2021 will bring a focus on AI engineering, a discipline that combines data science, data engineering, and development capabilities to enhance AI strategies and workflows in the enterprise.

It involves various components that can help in operationalizing AI, such as DataOps that aims to reduce the cycle time of data analytics and DevOps that helps to speed up the process of deployment. To help organizations streamline the AI engineering process, there will also be a focus on workbench analytics and modeling workbenches.

Must-read: 5 signs your telco CX is lacking-and how data science can help

5. Efficient decision making with hyperautomation

This practice leverages advanced analytics, predictive analytics, machine learning, cognitive intelligence, and AI to augment complex decision-making and issue resolution in various areas. AIOps, in particular, allows hyperautomation to be more efficient, flawless, and error-free.

For example, in order to keep up the volume and velocity of changes required in network infrastructure, NOC engineers will benefit from machine learning to automatically provision, configure, and assure critical networks.

Take control of your data this 2021

It’s fitting for an industry that has data at the heart of its operations-collecting, transmitting, and creating data to facilitate modern communication. For a more successful 2021, telco organizations must be prepared to continue embracing innovation with tip of spear technologies: machine learning, automation, artificial intelligence, containerization, and new ways of mastering data.

Originally published at https://blog.ducenit.com.



Ducen is a trusted technology solutions provider that aims to empower Fortune 1000 companies through quality solutions and services.

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Ducen is a trusted technology solutions provider that aims to empower Fortune 1000 companies through quality solutions and services.