Artificial Intelligence in telecom is being transformed in various ways by technology. From Artificial Intelligence (AI) to the CyberTalk Threat, here are the 7 biggest technology trends that will transform telecoms in 2020.
5G
5G has promised some dramatic changes. The European Union’s 5G action plan includes continuous 5G coverage for railways and major highways by 2025. 5G Ultra-low latency, enhanced data rates, and network slicing, in addition to supporting 100-fold increases in devices connected to each unit area. This opens the door to new services, network operation and customer experience for telecom operators.
5G is changing the role of telecom: not only telecom technology suppliers but also service providers. This change requires telecoms to interact with governments and enterprise customers and change their sales strategy to help consumers utilize 5G power.
Also Read: Vodafone case study
Artificial Intelligence (AI)
Telecommunications is one of the industries that use artificial intelligence in many aspects of business today. Through virtual assistants and chatbots, and artificial intelligence that drives these tools behind the scenes, telecommunication companies improve customer service and customer satisfaction. Artificial intelligence is essential for the optimization and predictive management of telecommunication companies’ networks. AI is also hard at work in detecting fraudulent activity. Additionally, through Predictive Analytics, Artificial Intelligence in the Telecoms industry is able to derive actionable business insights from the data volumes they collect every day.
Internet of Things (IoT)
It is one of the biggest players in the Internet of Things market, as everyday goods are interconnected and connected to the Internet, as the telecoms industry launches Internet device connectivity. The Internet of Things technology helps remotely monitor telecom base stations and data centers. This helps to ensure shorter downtime for the network. Since telecoms are crucial in providing IoT infrastructure, the industry is especially ready to develop and provide their own services for IoT. Since IoT technology is leading to more devices on the network, there is a greater likelihood of security and privacy breaches, and telecoms need to plan and protect it. Although there is still much to know about the IoT transformation for telecoms, there is little doubt that it will be disruptive to the industry.
Big Data
It is undeniable that telecommunication companies are collecting and producing wireless data — mobile devices and apps, wearables, and more — in the 2020s — but companies that use it for their competitive advantage will survive. Telecommunication companies need to ensure that their networks can move exceptional data efficiently through their network and support new technologies. Telecoms also need to address new security challenges that arise with new technologies that use their networks. Finally, the data collected by Telecom can be analyzed to improve customer service, determine and evaluate new products, as well as monitor and optimize the network. When evaluating and taking action, big data can help telecoms build a strong business.
Robotic Process Automation (RPA)
Robotic process automation takes repetitive, rule-based, high-frequency frequency processing and completes them very accurately. When telecoms hire RPA for work, error rates and costs decrease while increasing customer service and operational efficiency. The telecommunication industry has the highest adoption rate for RPA technology because it seems to be doing well. RPA provides a high level of scalability and agility for telecoms and can perform many tasks such as report generation, responding to customer queries, order processing, price tracking and more.
Cloud Computing
Cloud computing’s pay-per-use service model helps telecoms introduce new services, reduce their costs and more effectively adjust to market demands. Cloud provides scale, scalability and cost-effective economies of scale for telecoms. Telecoms are not only a cloud service provider, but they can also use the cloud themselves. When Telecom adopts cloud technology and shifts important business functions to the cloud, they benefit from the cloud’s capability.
Cyber Security and Resilience
We take up telecommunication services, including phone and video calls, email and messaging, until we experience disruption and know-how dependent we are on those services. Telecoms are increasingly targeted to cybercriminals as they store and maintain highly complex data in complex networks that serve as gateways to other businesses. From direct cyberattacks, such as a denial of service delivery, to indirect attacks such as malware, telecoms must protect themselves and prepare for the future of 5G and the security barriers it represents. This includes not only the right IT infrastructure but also the talent and processes that will contribute to the resilience of attackers. Currently, there is room to improve the industry response to a cyberattack. The false claims of the attack also hurt the reputation of the telecom, as well as creating a significant business impact in terms of time and money to respond.
If customers receive anything less, they will resort to a competitor who will meet their expectations.Through automation and artificial intelligence in telecom can improve its operating quality, while reducing their operating costs.Telecom operators are in a good position to develop AI through three key purposes: a big data source, exploiting advances in the field of AI, and a wider customer base.Best service of Artificial intelligenceCurrently, one of the major AI in telecom companies is providing better customer experience and reducing the use of Opex by driving automation.The reality is that consumers spend too much time with customers, but in order to be successful, companies need to consider the service point of service malfunction and figure out what they need to do to eliminate demand.
The use of AI in such content helps telecoms to minimize human interference and reduce operating costs while configuring, delivering, and maintaining networks while allowing consumers to quickly onboard new products and services to market.How telecoms can benefit from AIWe have mentioned already different solutions how AI could impact the telecoms industry but let’s have a closer look at how MindTitan has helped telcos overcome their different challenges:Optimize customer serviceChatbot telecoms — Chatbots enable telecommunications companies to solve customer problems quickly by integrating with the website and receiving several relevant data inputs about the customer.Email Bot — makes Email support easier.
Having a bot reply with answers or follow up questions.
AI model will understand vast alert & alarm systems to provide more meaningful alerts.Business operationsRevenue assurance — helps to guard your business against systemic failures where hard-coded and hand-set rules do not help.Infrastructure planner — helps to find the optimal balance between improved customer experience and return on investment when building or improving infrastructure.How do telecoms start with an AI strategy?Telecom is one of the largest industries that can collect data and take advantage of big data.
This question usually follows where and how to focus their efforts, as there is data.
MindTitan has a clearly defined process that we use with telecoms to understand business objectives, audit existing and future processes from both angles, and create an AI roadmap to truly gain a competitive advantage in business.Start with business objectivesWhen the telecom executive management team makes strategic decisions, these decisions come to business unit leaders and become time-bound goals and objectives.For example, expanding market share in a particular area this year is a strategic decision that will become targets for cross-functional business units.
In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP.
Factors like global climate change, increase and food security considerations have pushed the business to hunt a lot of innovative approaches to safeguard and improve crop yields.
As a result, AI is bit by bit evolving as a part of the technology evolution of the business.In this article we have a tendency to explore the applications of computer science to know current and rising trends for business leaders, and gift representative samples of common applications.Artificial Intelligence within the Agricultural business - Insights Before:Based on our analysis, the foremost common applications of AI in agriculture make up 3 main categories:Agricultural robots: - corporation’s area unit developing autonomous robots to perform the required agricultural tasks, like harvest crops and fast quicker than human labor.
Crop and Soil observation: - corporation’s area unit developing laptop vision and deep learning algorithms to method knowledge compiled by drones and / or software-based technology to watch crop and soil health.Predictive Analytics: - Machine learning models area unit being developed to find out and predict numerous environmental impacts on crop yields like global climate change.Blue watercourse Technology - Weed management:The ability to regulate weeds may be a high priority for farmers associate degreed an in progress challenge as weed killer resistance becomes a lot of common.
per a quest study conducted by the Weed Science Society of America on the impact of uncontrolled weeds on corn and soybean crops, annual losses to farmers area unit calculable at $ forty three billion.
Companies’ area unit exploitation automation and artificial intelligence to assist farmers realize a lot of economical ways in which to safeguard their crops from weeds.
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