Gartner defines the market of AI in communications service provider (CSP) customer and business operations as commercial off-the-shelf (COTS) products. They are either capabilities embedded in CSP-specific operational technology (OT) applications (such as channels, CRM and other business support system [BSS] applications) or industry-agnostic horizontal applications delivering AI/machine learning (ML)-based customer and business operations in CSPs. CSP customer and business operations refer to marketing, sales, customer acquisition, customer journey, billing and revenue management, revenue assurance, and related risk management. The scope of AI products covers data readiness, life cycle management of algorithms and their application to CSP customer and business operations. AI in CSP customer and business operations helps CSPs utilize AI/ML to generate insights and automate business processes across a wide range of customer and business operations areas. These areas include marketing, sales, configure-price-quote (CPQ), order management, product management, billing and revenue management, customer journey and care, revenue assurance, and fraud/risk management. An example can be intelligent chatbots utilizing natural language processing for customer interaction use cases to automate call center operations. These products assist with insights and automation and help CSPs manage the life cycle of AI/ML algorithms, gradually enabling ModelOps/AIOps.