Updates on AI Business Trends & Developments

First things first, Inbenta, an AI company in Spain focusing on semantic search, received $2 million in Series A VC funding. One of Inbenta’s taglines on its website is “interactive customer support with AI”. So according to the VC funding article, Inbenta operates on the intersection of AI and customer support. The problem with current search engines is that while it provides a lot of information, a lot of the information is irrelevant. By using AI, Inbenta can help its clients predict what customers want — hence “semantic search”, or relevant searches. Semantic search is presumably a subset of the larger trend of deep learning which reflects Facebook’s, Google’s, and IBM’s recent acquisitions, also noted earlier in this blog


This research helps to remove one of the obstacles of the development of AI — natural language processing (also speech recognition). As Noam Chomsky notes, as jotted down in a previous blog post, it is difficult for computers to capture the nuances of language, because human creativity is rooted or at least closely connected to our human physical state. So, Inbenta with its enterprise semantic search core capability is trying to bridge this gap at least in terms of natural language processing (using contextual clues to predict relevant searches).

According to a recent NYT article, researchers at Stanford are developing a biologically-rooted computer chip to further push the bounds of current AI technology.

This discussion of computers as basically a mimicry of human activity/knowledge reminds of renowned French sociologist Jean Baudrillard in his discussion of Simulacra and Simulation. Is AI aiming to be a simulation of humanity, or will AI replace reality with its own sense of hyper-reality? Not to get too deep into a futurist discussion, but it seems worth considering in terms of future applications of technology, especially in terms of business decision making and neural nets and whatnot.

Another interesting development in AI is an intelligent, elastic cloud, which would increase the ability of firms to dedicate server capacity, thereby presumably increasing speed of information access, gathering, and recovery.


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