How AI and GAI can benefit telecoms – Vecta Labs
If you’ve been online in the past year or so, it’s extremely likely you’ve stumbled across an image of Mario in court, seen people showcasing a series of digitally created professional headshots, or seen a story, poem, or report written by Artificial Intelligence (AI). And, while, for many of us, this is pretty mind-blowing stuff, AI experts speak of this as just one step in the ever-evolving AI model.
AI that can create (or generate) text, images or other media is called Generative AI (GAI). GAI is essentially a “smart” form of AI that leverages patterns, structure (of text, images, design etc) to create new data that is similar to already accessible data sets1. This is how it uses a series of your fun, lifestyle, outdoorsy Instagram images to recreate them into a professional LinkedIn Headshot.
It is important to note here that while GAI might be experiencing a heyday now, it’s not a brand-new technology, but was first used at larger scale in the 1960s with the advent of chatbots1.
At Vecta Labs, we’ve been fascinated by AI and GAI for quite some time, and by tracking trends online, and watching what is being discussed, we’ve come to the conclusion that in the world of telecommunications, GAI has a lot to offer – and we’re not alone in recognising this.
Gnani AI Marketing recently published an article on the ways the telecoms industry is embracing AI, with a core takeaway showcasing that GAI systems, powered by Natural Language Processing (NLP) algorithms, have enabled telecom companies to offer unparalleled customer support.
According to the Unified Voice First conversational AI Platform, GAI-powered chatbots and virtual assistants can understand and respond to customer inquiries in real-time, 24/7, delivering consistent and accurate information to customers2.
In fact, US based AI and Machine Learning specialists, DeepSig only recently published an article, detailing how in the past year, interest in Gen AI for wireless has grown significantly – for example, excitement around the use of GAI Large Language Models, which include the GAI to text, image and GAI to pattern models, in wireless infrastructure in 5G and 6G systems was palpable at the recent Machine Learning for Wireless Communications ‘AI For Good’ workshop held by the United Nations (UN), International Telecommunications Union (ITU).
In the article, DeepSig highlighted that the ITU spoke about several use cases for, were highlighted ranging from customer support chat-bots and knowledge management systems to code synthesis and letting LLMs perform network parameter tuning3.
Needless to say, as a business driven to improve outcomes for telecommunication and wireless network provides, all of the conversations around the role GAI can play in our industry, and around opportunities for growth, are exciting and we very much look forward to continuing to work in this space.
If you’d ever like to learn more about the AI work Vecta Labs is involved with, or understand how we can support your business using technology, please get in touch via our CONTACT US page today.