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Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
It was nice to think that one could model a couple high level constraints on a computer and then “magically” determine how to maximize a company’s profits. It was a sensible and interesting transition from my knowledgebase. What about the data quality? It seemed impactful, influential, and technically sophisticated.
It was nice to think that one could model a couple high level constraints on a computer and then “magically” determine how to maximize a company’s profits. It was a sensible and interesting transition from my knowledgebase. What about the data quality? It seemed impactful, influential, and technically sophisticated.
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This involves an understanding of 1) how to gather carriers’ preferred lanes, types of loads they haul, or even real-time capacity, and 2) how often you need to revolve your team’s understanding of those carriers. How do you notify them about freight opportunities? What do those carriers need?
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Others wave their hands and announce sweeping megatrends that sound impressive, but that lack supporting data. More and more transactions, operations and processes are conducted within IT servers and data centres. Just storing data is not a problem. IT offers huge possibilities with one-click data retrieval into the bargain.
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