Azure

Howden: How they constructed a data mining resolution with Azure Search

Prospects throughout industries together with healthcare, authorized, media, and manufacturing are searching for new options to unravel enterprise challenges with AI, together with data mining with Azure Search.

Azure Search permits builders to rapidly apply AI throughout their content material to unlock untapped info.  Customized or prebuilt cognitive abilities like facial recognition, key phrase extraction, and sentiment evaluation may be utilized to content material utilizing the cognitive search functionality to extract data that’s then organized inside a search index. Let’s take a better have a look at how one firm, Howden, applies the cognitive search functionality to cut back time and threat to their enterprise.

Howden, a world engineering firm, focuses on offering high quality options for air and gasoline dealing with. With over a century of engineering expertise, Howden creates industrial merchandise that assist a number of sectors enhance their on a regular basis processes; from mine air flow and waste water therapy to heating and cooling.

Too many particulars, not sufficient time

Each new venture requires the creation of a bid proposal. A typical buyer bid can span 1000’s of pages in differing codecs equivalent to Phrase and PDF.  The workforce has to scour by way of detailed buyer necessities to determine key areas of design and specialised parts in an effort to produce correct bids.  In the event that they miss key or important particulars, they’ll bid too low and lose cash, or bid too excessive and lose the client alternative.  The handbook course of is time consuming, labor intensive, and creates a number of alternatives for human error. To be taught extra about data mining with Azure Search and see how Howden constructed their resolution, take a look at the Microsoft Mechanics present linked under.

Thumbnail image linking to a video about Howden.

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