Three things you need to know about the Future of Telephony
As another year draws to a close, it seems as good a time as any to look to the future. There’s certainly plenty to look forward to in the telecoms channel. Change is afoot, and with change comes opportunity. Here are three things the sector should be aware of about the future of telephony in 2024 and beyond. 1.) The copper switch off is getting near People have been talking about the PSTN (copper line) switch off for what seems like years, but the actual event is creeping ever closer. Many channel resellers will use the final countdown to 2025 as a way to promote agile alternatives to legacy copper-based telephony. What seems clear to us is that the switch-off is a marker of the economy’s increasing preference for flexible wireless solutions; those with no need for complex internal or external cabling. However, this does mean businesses are putting a higher dependency on mobile services and Wi-Fi. This brings a range of new opportunities to the channel, from security to integration to automation. These are areas where successful resellers will help customers find the most value from their systems. 2) The AI revolution gathers pace AI has only just started making its mark on business communication, but the opportunities are potentially endless. To take one example, AI can enhance your telecoms offer by bringing hugely valuable analytics capabilities to unified communication (UC) systems. While the metrics and reporting currently available in contact centre platforms may be adequate for performance reporting, that’s only touching the surface of what’s possible. AI-powered analytics promise far greater qualitative insight into how services could be improved, allowing resellers to offer more value to customers. This is especially apparent in systems that automatically ingest audio, running Natural Language Processing (NLP) on all calls to gain a deeper understanding of interactions and the challenges customers and agents face. For the reseller, having the right AI portfolio is likely to become a huge differentiator in the next few years, providing base-wide security benefits, enhanced service quality, higher margins and, most importantly, more trusting customers that form longer-lasting relationships. 3) Companies are becoming digital-first Digital-first businesses rely on digital technology to make them more efficient and customer-focused. To do that they need bandwidth. Connectivity has become the great business enabler of the moment. Those businesses able to adopt cloud services, and run them efficiently via gigabit-capable connections, can adapt best to our technology-driven future. How can the channel help in all this? Selling great connectivity is one way. But where the channel can really make a difference is by helping businesses make all those systems work together, integrating them via professional services and AI to provide a unique bird’s eye view of operational performance and success.
Generative AI: The Future of Customer Service is Now
What is Generative AI? Artificial Intelligence, or AI, has been around for years. Machine learning algorithms, natural language processing, and the like are now ubiquitous in the IT applications we use on a daily basis. However, only with the advent of various Generative AI technologies such as ChatGPT, MidJourney, DALL-E, and Bard has AI claimed the spotlight and headlines across the Globe. Generative AI is a type of Artificial Intelligence that can create new, and arguably “original”, content based on the models it was trained on. It has revolutionized what AI can be used for and how accessible it has now become. Before, AI was a niche field useful to organizations that generated large amounts of data and had the resources to hire data scientists and build powerful servers to analyze them. It is now a tool that can be used and prove useful to practically anyone. From the students asking ChatGPT to help with their homework, to graphics designers who can now create in a matter of seconds what took days if not weeks before, and to office workers who can ask AI to create and summarize worksheets of data into a report they can pass on to management. Generative AI in Customer Service A key segment of your business that can greatly benefit from Generative AI today is customer service. Unlike traditional rule-based chatbots that operate based on pre-defined scripts, generative AI has the ability to understand context, learn from data, and produce human-like responses that adapt to the unique needs and preferences of each customer. Personalized Interactions Generative AI is unique in that it improves its answers to your customer’s queries as the conversation develops. The more information it has about your customer, the more tailored its responses will be. For instance, when a customer contacts a retail company regarding a previous purchase, generative AI can use the customer’s order history and preferences to suggest complementary products, providing a seamless cross-selling experience. 24/7 Global Availability Your business is often limited to interacting with customers in your time zone and in the language you are familiar with. Generative AI effectively eliminates this barrier by being available 24/7 to customers who speak different languages. Generative AI not only detects and translates the queries of your customers for you; it can also reply to the customer in his or her native language. As such, Generative AI has the potential to open up completely new markets for your products and services. Handling Complex Interactions Generative AI can learn from the vast amounts of data your business generates. It is capable of handling customer service scenarios that previous chatbots could not. As the AI interacts with customers, it learns from each interaction and gains a deeper understanding of nuanced queries. This empowers the AI to provide accurate and relevant responses even to intricate questions, contributing to a smoother and more efficient customer service experience. Unlike the previous generation of chatbots, which were completely dependent on the script they were following, a Generative AI chatbot can actually assess the intent, mood, and flow of the conversation and automatically escalate the interaction to a human agent if the need arises. Generative AI Customer Service Use Cases Limitations of Generative AI and how to overcome them Risk of Misinterpretation and Miscommunication Generative AI relies on generating responses based on the the data it has. While it can detect some sentiment and intent from its users, it does not have true understanding of emotions. As such, it could have a tendency to produce incorrect responses or ignore emotional cues that can cause frustration for the customer. To address these issues, it is important not to be over reliant in AI for all interactions. For example, once a negative conversation is detected, this should trigger an alert for a human agent to take over the customer interaction. Continuously monitoring interactions and fine tuning the AI through training and updating can also help address and prevent issues from repeatedly occurring. Inability to Handle Unforeseen Situations When faced with unprecedented or highly unique situations outside of its training data, an AI may struggle to provide accurate and helpful responses. This causes the AI to have “hallucinations” or make it appear that the AI is lying to the customer. The solution to prevent or at least limit hallucinations is through thorough fine-tuning, prompt engineering, and training of the Generative AI. You can also program them to limit responses to only the custom trained data and to self analyze their response before replying. It is critical that the AI interactions are regularly reviewed and any issues remedied through fine tuning. Privacy and Security Concerns Customer service often involves handling sensitive information, such as personal details or account credentials. Generative AI’s ability to generate human-like text raises concerns about data privacy and security. If not properly managed, there is a risk that sensitive information could be mishandled or exploited. Compliance to existing privacy and security regulations must be at the top of the list when deploying a Generative AI system. Proper data encryption and storage should always be practiced and where applicable anonymization and proper filtering of Personal Identifiable Information (PII) should be conducted. Finally, ensure that the AI requests and shares only the minimum personal information needed to address the needs of the customers and make all customers and users aware of the risks involved when utilizing the system. Dependency on Quality and Quantity of Training Data The quality and timeliness of the the training data is what will define the capabilities of your Generative AI platform. Incomplete, outdated, and inaccurate data will reflect in the responses of your AI to your customers. Hence, maintaining and managing your Generative AI platform is an on-going concern. Fine tuning, monitoring and updating should be done on a regular basis. Thorough testing of the system before pushing it live to your customers should be a priority. Generative AI is not General AI While it can generate very informative and useful responses, Generative AI
AI Analytics: Empower Your Customer Service Now with Elisha Insights
Elisha Insights offers real-time AI analytics and evaluation of customer service interactions for your business. Leveraging the latest advancements in Large Language Models and Natural Language Processing, Elisha Insights stands as the most sophisticated customer service analytics platform available in the market today. Elisha Insights accepts customer interactions from various sources, including email threads, chat, voice, and video transcripts, and supports multiple languages. Its default Speech-to-Text engine can automatically detect over 50 languages, and optional third-party integrations can extend this to over 120 languages and dialects. Elisha Insights AI Analytics Features Define categories for customer interactions effortlessly, and let Elisha Insights automatically classify them. With built-in sentiment analysis, monitoring the tone of conversations with your customers becomes easy. Clients can tailor Elisha Insights to their preferred set of performance metrics and modify them as needed. You can assess how your sales agents upsell to customers, track the resolution of technical support questions, analyze conflict handling, compare interactions against your script or call flow, and much more. Privacy protection remains a priority, as Elisha Insights incorporates built-in Personal Identifiable Information (PII) filtering to ensure the security of your customers’ privacy. Additionally, Elisha Insights does not keep or record any transcripts or recordings it analyzes by default. Elisha Insights is designed for seamless integration with your current IT systems. It offers APIs and embeddable code snippets that facilitate rapid integration. The payment model is based on per analysis, allowing you to pay for only the transcripts we analyze. This approach enables you to scale up or down, knowing your costs will follow suit. Charges are determined per minute of recording or per page of text (500 words) sent for analysis. Elisha Insights revolutionizes your customer service approach. It harnesses the power of Artificial Intelligence to provide valuable insights, improve interactions, and boost customer satisfaction. Schedule your demo today by emailing sales@elishatelecom.com and experience the future of customer service with Elisha Insights!