AI systems use sophisticated algorithms to trap more than one conversation at a time, which enables them to handle many requests from different users instantly with the ai assistants when you talk to ai. Google announced that 2023 has now over 2 billion daily interactions across its multi tasking ability also handling different contexts without forgetting each conversation. AI accomplishes this in a process called “multi-threading” where the system can hold context for different conversations running at the same time.
For example, when you chat with ai on WhatsApp or Facebook Messenger, AI chatbots use natural language processing (NLP) to read each conversation thread and send relevant replies based on what the input content is. As per 2022 survey data from Gartner, more than 70% of interactions with customers will be guided by chatbots in AI by the year 2025. They prioritize actions, identify intent, and handle massive amounts of data in order to keep the setup for responses aligned with each interaction managed.
E-commerce big fishes, e.g., Amazon use AI chatbots that manage several customer service conversations simultaneously. These AI tools evaluate data accumulated from past interactions, for instance, the purchase history is used to give tailored responses. Such an approach is boon to businesses to scale customer support without hiring more human agents. In another report by IBM, AI driven customer service systems reduced the response time by 30% resulting in increased efficiency and enhanced customer satisfaction.
The AI systems can manage multiple unsolved conversations using “context-switching,” meaning that the system can fluidly switch between topics in a single conversation or from one conversation to another as needed. Where, if you talk to ai on a customer service line, the AI can not only help resolve an order problem but also book an appointment, switching contexts according to the need of the user without missing a beat. Microsoft has played a big role in this space and a recent research conducted by them show that 57% of consumers think the service experience is enhanced through AI interventions since it gives quicker responses and more relevant answers.
Artificial intelligence is the future, not only of business but of humanity as well.” — Elon Musk The pervasive role given to AI may underscore how reliant we have become with regards to addressing complex and multi-layered tasks. For managing multiple conversations, AI learns and performs better by using machine learning models to predict the next move of the customer while juggling many baskets. So when you speak to ai, it handles each conversation individually and treats each user query relevant but also fluidly deliver context-aware dialogues without missing a beat across the board.