"B2B Lead Generation Through Networking: A Guide"
Posted: Tue Feb 11, 2025 6:22 am
”An AI agent, meanwhile is software that also automates tasks, while also functioning more like an adaptable knowledge worker. Rather than just following ordained tasks under set rules, it can understand context, make decisions and tweak its approach as circumstances change. Importantly, it can autonomously carry out tasks on behalf of users.“When RPA faces a problem that doesn’t match its template, it needs to be reprogrammed for changes in process,” PYMNTS wrote.
“When an AI agent faces the same situation, it can reason list of us mobile number database through the problem and come up with a fitting response. It can learn and adjust to new situations. RPA uses structured inputs and logic; AI agents use unstructured data and reasoning.”For instance, an RPA-powered chatbot on a website can handle pre-programmed responses for the most commonly asked questions by customers.
But deviate from those questions, and the chatbot provides incorrect or irrelevant answers. An AI agent trained on GPT-, on the other hand, would have a more natural response, and could better answer the customer because it can understand the question and dynamically find the answer.For all PYMNTS BB coverage, subscribe to the daily BB Newsletter.RecommendedOracle Debuts AI Agents to Automate Supply Chain TasksMastercard Sees Growth in Tokenization and Commercial PaymentsCedar Money Raises Million for Cross-Border Payment Solution Using StablecoinsMicrosoft’s Q AI Business Soars but Cloud, Guidance DisappointSee More In: AI, AI agents, artificial intelligence, automation, BB, BB Payments, News, oracle, procurement, PYMNTS News, Supply Chain, supply chain management, What's Hot, What's Hot In BBMastercard Sees Growth in Tokenization and
“When an AI agent faces the same situation, it can reason list of us mobile number database through the problem and come up with a fitting response. It can learn and adjust to new situations. RPA uses structured inputs and logic; AI agents use unstructured data and reasoning.”For instance, an RPA-powered chatbot on a website can handle pre-programmed responses for the most commonly asked questions by customers.
But deviate from those questions, and the chatbot provides incorrect or irrelevant answers. An AI agent trained on GPT-, on the other hand, would have a more natural response, and could better answer the customer because it can understand the question and dynamically find the answer.For all PYMNTS BB coverage, subscribe to the daily BB Newsletter.RecommendedOracle Debuts AI Agents to Automate Supply Chain TasksMastercard Sees Growth in Tokenization and Commercial PaymentsCedar Money Raises Million for Cross-Border Payment Solution Using StablecoinsMicrosoft’s Q AI Business Soars but Cloud, Guidance DisappointSee More In: AI, AI agents, artificial intelligence, automation, BB, BB Payments, News, oracle, procurement, PYMNTS News, Supply Chain, supply chain management, What's Hot, What's Hot In BBMastercard Sees Growth in Tokenization and