- Retailer and eTailers:
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A retailer has plenty of unstructured data (e.g. product descriptions & images, customer reviews for products and sellers) and is faced with addressing the following issues using this unstructured data.
- How can I tag & categorize my products so that the product organization is intuitive for the customers?
- How can I label the products and customers so that my product recommendations are very relevant for a given user?
- How can I enhance the attributes of each product so that it shows up when filtered on those attributes?
- How can I ensure that the sellers are posting genuine products on my eCommerce site?
- How can I moderate my site's content (images, descriptions, reviews) to ensure that it has no objectionable content
- How can I analyze the sentiments of users & sellers, and derive helpful insights to enhance my products and marketing?
- ... and more
- Social & Professional Media Enterprises:
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A social or professional networking company has a growing repository of user posts and friendship graphs and is faced with addressing the following issues using this unstructured data.
- How can I moderate my site's content (images, posts) to ensure that it has no objectionable content or spam?
- How can I analyze the contexts & sentiments of user posts so that I can enhance my ad targeting?
- How can I augment the contact graph using annotation of standardized attributes on both pages and connections?
- How can I disambiguate places and entities that users post?
- How can I label the users and posts so that my news recommendations are very relevant for a given user?
- ... and more
- Technology Companies:
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A technology company has volumes of unstructured data (free form text, images, audio, video) and is faced with addressing the following issues using this unstructured data.
- How can I tune my search engine by crowdsourcing the evaluation of the search engine outputs?
- How can I annotate the images, audio and video so that they are easier to find?
- How can I analyze the context in high traffic content (e.g. most frequently watched videos) to enhance my ad targeting?
- How can I create a knowledge graph?
- How can I find content relevant to my business?
- Who are my customers and what are their characteristics?
- ... and more
- Healthcare:
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A healthcare company has access to volumes of unstructured public data (e.g. patient & physician buzz) and private data (Rep logs, Clinical trials), and would like to understand the following from this unstructured data.
- How can I synthesize the physician & patient buzz while meeting the compliance requirements for adverse events?
- How can I analyze the rep logs to understand the reasons behind win/loss?
- How can I enrich the sales lead data using the publicly available information about customers?
- ... and more
- Legal enterprises:
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Legal enterprises deal with volumes of public data like case judgements & emails and would like to understand the following from this unstructured data.
- How can I structure the unstructured data for easy extraction of knowledge?
- How can I deal with voluminous data I receive as part of eDiscovery?
- ... and more
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