In this episode of the Discussing Stupid podcast your host Virgil Carroll has a conversation with Brett Matson, the Managing Director of Funnelback Search Technology, about search, semantic search, knowledge graphs, artificial intelligence in search, and the related leverages and pitfalls.
Brett shares that there are several big things coming in the area of search, after reaching a plateau and stagnation for a few years. Some of these are paradigmatic (understanding the search has multiple purposes, not just page rankings,) and some include changing the approach (i.e. modifying queries,) changing presentation of results (modules,) knowledge graphs, semantic search (detecting the intent of the query,) and many more.
Brett explores how some of these new technologies are intrinsically more attractive to people. For example, knowledge graphs are (or can be) visual and show relations between entities in them. Thus, they are much more intuitive in contrast to being faced with a wall of data to choose from. The point is, of course, making content a lot more intelligent and hence more useful, by treating it as a product and perfecting its delivery.
In Brett’s opinion, during the next decade we will see a real proliferation of smart tools that will help users and companies perform a significantly better search. Virgil and Brett also discuss how it is very important to avoid making too many connections when using a new, powerful technology that can do that. This can bog down the whole organization, its data servers, employees, and finally, users.
Virgil’s conversation with Brett is very rich and diverse, so make sure to listen to the whole episode and pay close attention to what he had to share.
Future-proofing your experience delivery strategy …
by Kate Skinner.
Siraj Raval's YouTube channel
is full of short, fun videos that teach all different aspects of machine learning and AI.
Coursera's Machine Learning course
, one of the original online machine learning courses, delivered by leading AI researcher Andrew Ng
A great article by Sebastien Dery discussing the challenges of knowledge graphs
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