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Ai uses and role in telecom industry

They will foster a fundamental change in the design, creation and operation of these telecommunications networks of the future, underlines Gaurav Dixit, Head of Automation and Development of Artificial Intelligence at Ericsson, during his presentation at the Data Innovation Summit 2020. Gaurav Dixit gave an insight into how Ericsson transformed its portfolio of products and services by implementing Artificial Intelligence Development Companies in USA and automation technology to address the challenges posed by 5G in IT and telecommunications networks.

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Ai uses and role in telecom industry

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  1. AI Uses and Role in Telecom Industry Image source: Freepik We are witnessing how the telecommunications industry changes every day and artificial intelligence is the main driving force behind it. Today's telecommunications networks connect people. The telecommunications networks of tomorrow will not only connect people but also things, factories and offer immersive video use cases with the help of 5G and IoT. They will foster a fundamental change in the design, creation and operation of these telecommunications networks of the future, underlines Gaurav Dixit, Head of Automation and Development of Artificial Intelligence at Ericsson, during his presentation at the Data Innovation Summit 2020. Gaurav Dixit gave an insight into how Ericsson transformed its portfolio of products and services by implementing Artificial Intelligence Development Companies in USA and automation technology to address the challenges posed by 5G in IT and telecommunications networks Personalized customer experience: In today's digital world, customers expect a lot and their expectations are not limited to just excellent service. They demand personalized experiences every time they

  2. connect with your brand. Personalized emails offer transaction rates six times higher than non-personalized emails. But no matter how you optimize your messaging, personalization takes a great deal of thought and time. Smart AI solutions, such as smart virtual assistants, right now have new opportunities to engage customers, suppliers, and partners fastly and efficiently as they navigate an ever-expanding online landscape. As a foundational technology, AI can help telecoms reinvent customer relationships through personalized, courteous and persistent two-way conversations on a large scale. Customer Experience is extremely helpful for many reasons. The first is that Artificial Intelligence Development gives personalized and special messages without anyone writing every outgoing message. Second, these conversations are designed to work and are always consistent and in the message. Third, and most important of all, VAT identifies those who raise their hands and catch the eye of your sales team; Thus, you unlock more opportunities from your existing potential customer pool. 5G and smart networks: 5G is the next generation of networks and will allow telecommunications to apply AI to networks, making them smart and optimizing CapEx. AI will increase overall network performance, optimize service ways, minimize overhead costs, and maximize profitability. Using artificial intelligence and analytics, telecommunications can analyze coverage data such as the percentage of land covered with services, the percentage of the population covered with services, the average land not available for services, and more. AI-powered smart grids enable real-time network traffic analysis to identify periods when network usage is high and take steps to alleviate congestion, avoiding potential outages (leading to dissatisfaction and abandonment of the client's). AI can also detect areas of excess network capacity, using telcos to launch targeted marketing campaigns to improve uptake in those locations. Using AI for smart grid capacity optimization can save millions of dollars each year. Reduce customer churn: In the next six to 12 months and beyond, companies will continue to feel pressure to retain their existing customer base during this time of economic uncertainty. Failure to do so results in the loss of customers, and since it costs five times more money to acquire a new customer than it does to keep an existing one, telcos will do well if they invest in keeping the customers they have. Artificial intelligence-based solutions such as intelligent virtual assistants (IVAs) engage customers in personalized two-way conversations on a large scale. VAT can be used to improve customer health, collect customer feedback, and up-sell or

  3. cross-sell on additional features or upgrades. In this way, telecoms retain more customers throughout the customer funnel without exhausting time or resources. Building a revival-ready workforce: For the foreseeable future, telcos will continue to feel increased pressure to retain their existing customer base during this time of economic uncertainty. But even in the best of cases, telecom teams have limited resources and often struggle to find the time to proactively engage with customers and make sure they are getting the most out of their products or services. Artificial intelligence and Machine Learning Development plays a crucial role in transforming telecommunications sales and marketing functions. By being able to quickly track leads at scale, telecommunications not only demonstrates value for customers, but also improves satisfaction by increasing the workforce with smart virtual assistants. And that is a competitive advantage that your company cannot pass up. Role of AI in telecommunications: Image Source: openpr The complexion of communications networks seems to be inexorably expanding with the deployment of the latest services, such as software-defined wide area networks (SDWAN) and new technological paradigms, such as network functions virtualization (NFV). Enabling AI in Telecom. To meet growing customer expectations,

  4. Communications Service Providers (CSPs) were able to increase intelligence in operations, planning, and upgrading their networks. To move to period-time closed-loop automation, CSPs would like systems that are capable of autonomous learning. That is only doable with AI / ML. Researchers in communication networks are caught up in AI / ML techniques - ● To optimize the specification ● To control and manage ● To change additional autonomous operations AI is an imminent reality, so how do you prepare for the future? Image Source: freedomandsafety Artificial Intelligence and Chatbot App Development is taking the telecommunications industry by storm and providers must be prepared to ride the wave and not ride it. Here are some recommendations. ● Familiarize yourself and your business with AI-related technologies and current market trends. ● Don't expect your IT team to tackle AI-driven trends. The first effort should come from board members, CEO, and digital transformation or customer experience officers.

  5. ● Create and implement a strategic plan that positions AI in your technology strategy and at the core of your business processes. Remember, onboarding your people and updating your company culture is a key step in the plan. ● Start building business partnerships with companies that can help you make your AI strategic plan come true. ● Create and implement a data plan, it will be your most valuable asset and the "fuel" to drive your AI strategy. Make sure you have the right data analytics tools in place and that they can run seamlessly connected across your business without losing data in silos. ● Design an agile technological infrastructure for your company. You'll need nimble, productive tools and a team of rock and roll-ready visionaries. As the leading and largest Artificial Intelligence Development Companies in USA, India and UAE, USM Business Systems has been offering the best AI Services and solutions that meet our client business needs. Our team of AI solution providers gained expertise in AI programming and maximizing profitability by automating your business operations end-to-end. USM Systems Services: ● Artificial Intelligence Development Services ● Mobile Application Development ● Chatbot Development ● Machine Learning Development services ● Workforce Management ● Cloud Migration Services ● Data Quality Solutions ● Human Resource Management

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