
Navigating the AI Landscape: A Primer for CSPs

AI’s Many Benefits for CSPs
Since the release of ChatGPT, more and more people are talking about artificial intelligence (AI). But AI is not new. Businesses have been using forms of AI for almost five decades. According to McKinsey’s 2022 Global Survey on AI, 50% of respondents say their organization has adopted AI in at least one business unit or function. A survey of 400 telecom professionals worldwide revealed that 34% have been using AI for at least six months, with another 31% in the research or assessment stage. AI is paying off for the companies that are using it. Almost three quarters (73%) of survey respondents said their company saw increased annual revenue, and 80% saw reduced costs.
When used correctly, AI offers many benefits for communication service providers (CSPs), improving network performance, customer experience , operational efficiency and revenue generation.
What Is Artificial Intelligence?
There is no universally accepted definition of AI. Gartner, Inc. defines AI as “applying advanced analysis and logic-based techniques, including machine learning (ML), to interpret events, support and automate decisions and to take actions.”
Types of AI
Several types of AI are commonly used in business settings:
ML is used to analyze large quantities of data to find patterns and anomalies that people would likely miss. ML creates an algorithm (called a “model”) that “learns” through “training.” Algorithms identify patterns in data, providing new insights and predictions. ML recommends actions but does not direct systems to act without human guidance. For example, ML identifies increases in network traffic, enabling CSPs to allocate resources accordingly.
Conversational AI refers to a set of technologies that enable human-like interactions between computers and people. Powered by ML and natural language processing (NLP), conversational AI recognizes speech and text, understands intent and responds in a conversational manner. Some chatbots and virtual assistants employ conversational AI to automate customer service interactions .
refers to algorithms (such as ChatGPT) that can create new content—such as text, computer code, and videos—based on the data they were trained on. Some businesses are starting to use ChatGPT to produce marketing and other content.