Originally posted on The Company Dime, Brandon Strauss of CapTrav and KesselRun Corporate Travel Solutions explains why he’s in “watch and learn” mode when it comes to generative artificial intelligence.
Claude Shannon, a computer scientist and founder of information theory, published “A Mathematical Theory of Communication” in 1948, which defined how messages are carried from sender to receiver. This theory became critical to understanding communication flow, the meaning and intention of words, and, in practice, how language must be assimilated for artificial intelligence applications to work. Among other things, the theory states that any information transmitted from sender to receiver can be mathematically sorted between empirical information and semantic content. In other words, there is a scientific distinction between the information exchanged and the meaning of that information. One of the conclusions drawn is that while the two can be viewed as exclusive, in practice, a message would not really carry any meaningful information without the shared semantics. To a large degree, Shannon illustrates the key hurdles that generative artificial intelligence must overcome to be successful for corporate travel applications.
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