Telecommunications and Data

In the wake of the COVID-19 pandemic, organizations and industries across the globe were forced to reimagine work and ensure business continuity by embracing the remote work model. As we all know by now, the success of remote working depends on two factors – effective communication and collaboration.

With more and more companies opting for remote work, cloud-based telecom providers are stepping up their game by introducing smart features that will enhance internal collaboration among teams, along with 5G going mainstream.

5G is the evolution of mobile technology, providing many benefits beyond the scope of existing 4G networks. 5G is faster and has a higher capacity, which means its speed and efficiency will remain unaffected when large numbers of devices connect to the local network simultaneously.

Though 5G has been a hot topic in the telecommunication industry for quite some time, the need for reliable connectivity and better bandwidth has become more pronounced in the wake of the pandemic. In the current business landscape of remote working and digital collaborations, 5G deployment is vital, to business and will be a key contributor to climate change, with remote working.

As more and more telecom solution providers are switching to open and cloud technologies, continued focus will be placed on data integrity and cybersecurity. During the pandemic, Zoom became an example of what not to follow, as hackers got a hold of 100,000 (s) passwords, driving added emphasis on digital security.

Internet Of Things (IoT)

The Internet of Things refers to the emerging trend for communication between devices connected to each other via the Internet. This trend has many applications within the telecom industry.

For example, many telecom organizations are using IoT to innovate user experience, providing more personalized options that connect various devices used by their customers.

Artificial Intelligence (AI)

Artificial intelligence (AI) and machine learning (ML) are other big telecom trends impacting the industry. Digital transformation requires the extraction of meaningful information from data, gathered by IoT sensors and devices.

At the same time, the expansion and complication of the internet create the need for high speeds and low latencies, prompting new solutions for internet connection management.

To this end, startups develop AI solutions that resolve numerous problems related to network performance.
IoT/AI creates an Advanced Sensor Platform

The US-based startup IoT/AI offers an IoT platform that combines network connectivity, cybersecurity, and analytics operating in Edge networks. The platform analyzes the data from the mesh network locally using ML algorithms. In addition to military-grade cybersecurity, IoT/AI’s sensor platform is suitable for the industrial, healthcare, defense, energy industries.

Cybersecurity

The increasing number of cyber-attacks and low-security IoT devices, new central processing unit (CPU) hardware vulnerabilities, and the growing dependence on computing infrastructure make tackling security risks challenging, requiring rapid innovation processes. Balancing the network’s core requirements of reliability and availability are critical, in an attempt to stay ahead of evolving cyber threats.

DATA

For the last few years, businesses have been opting for solutions that enable them to have all information in one place. This trend will continue through 2022 with cloud-based solutions offering easy and seamless integration between business/communication tools and business phone systems.

These include tools like CRM, AI helpdesk, ERP, Salesforce other business management software for planning and tracking the customer lifecycles and project lifecycles.

The multi-functionality of business phone systems and the Internet of Things (IoT) will continue to be a major focus area in 2022 as it has been in this year. Fueled by the remote working model, service providers will also be enhancing unified communication solutions that can be used on connected devices for calls, videoconferences, chats, and more.

Yet does this lead to competitive advantage and growth? Are these tools window dressing if the underlining leadership cannot balance internal harmony with external harmony? How does the significant investment in structured technology-data systems, integrate “Dark Data”?

Quentensprung can help Identify the gap between your current operations and where they could be in the new scenario and plan to improve your capabilities to achieve that vision.

Quentensprung develops the roadmaps and provides critical leadership to help your organization absorb the impact of disruptive market change. Lessen the blow of a crisis by strengthening all elements of your system and distributing the impact equally throughout. Use digital tools to renew the value proposition of your organization in a way that reflects the full context of the market scenario.

Not only is technology rapidly changing, but ways of working are also shifting to enable rapid development. Organizations increasing use of Full Stack development is one example. It refers to the development of both front ends (client-side) and back-end (server-side) portions of the web applications.

Full-stack web developers have the ability to design complete web applications and websites. They work on the frontend, backend, database, and debugging of web applications or websites.

Where the objectives include:

• Smarter, more responsible, scalable technology enabling better learning algorithms, interpretable systems, and shorter time to value.
• Composable data and analytics with intelligent methods and tools that either fully automate or intelligently augment user actions when building data-driven applications.
• Developing big to small and wide data to engineer precision dynamic and timely decision intelligence.
• Creating an organization where data and analytics are a core business function is more complex than just investing in technology. Business leaders are beginning to understand the importance of using data and analytics to accelerate digital business initiatives, yet find an investment more often than not leads to disappointing outcomes. Where organizations in real time do not leverage the technology or the technology is deployed and the change is only technical without changing ways of working.
• With limited resources and arduous requirements to adopt new technologies, organizations must achieve efficiencies and economies of scale using DevOps best practices with the goal of XOps (data, machine learning, model, platform) to ensure reliability, reusability, and repeatability while reducing the duplication of technology and processes and enabling automation.