Conversational intelligence enables people and organizations to make better decisions by combining user input and real-time data. It reduces miscommunications and guarantees that each exchange advances toward a certain goal.
Reactive Agents make decisions purely on the current states of the environment without the need to learn from previous instances. For instance, the Netflix suggestion relies on your currently conducted activity such as watching movies, while Spotify suggests songs.
These AI assistance are proactive in that they estimate what a particular user would require and present the solutions before they are requested. For example, AI in logistics may tell you that there is likely to be a disruption to the supply chain according to big data and analytics.
Collaborative Agents help teams by handling tasks, arranging meetings or abstracting long documents. These are instances such as Slack’s AI assistant or Notion AI.
Despite their benefits, deploying AI Agents comes with challenges:
In the future, we can expect AI Agents to:
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