As you navigate the complex landscape of data management, remember that each move in data modeling, like a chess move, should be purposeful, considering the immediate implications and anticipating the long-term consequences.
Just as a grandmaster plans their moves meticulously, a skilled data modeler should craft a robust and flexible structure that empowers their business to make informed decisions and gain an edge over the competition.
Autonomous agents work on bigger problems than the brazil whatsapp number data simple ask/response chat that many of us are familiar with around GenAI. An agent can handle chained tasks that can be carried out one after another, and the agent can iterate or change goals with limited or even no human intervention based on the results. adapt its behavior based on complex and evolving patterns of activity.
As an example, an agent in a retail context could recognize fraudulent behavior and significantly reduce false positive results. This would ensure that the service could detect and prevent fraud in real-time and prevent false positive results for real transactions, by deciding which actions to execute. The end result of this is savings in both time and money related to preventing fraud.