ai-one analyst toolbox - box innovation network application
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© ai-one inc. 2013 ai-one
ai-one Analyst Toolbox
-Box Innovation Network Application-
Reference Architectures & Use Cases for Leveraging ai-one Technology
© ai-one inc. 2013 ai-one
Why /bin?
We at ai-one are confident that our technology will add a whole new dimension of intelligence to a ridiculously easy platform.
In order to achieve our vision, we will need the assistance of the Box Innovation Network.
© ai-one inc. 2013 ai-one
Customer-Problem-Solution
CustomerExpert legal, financial, research, or compliance professional in enterprise or professional services
ProblemExperts burn out looking for a particular idea (or concept) that could be worded in a variety of ways and buried amongst thousands of pages of irrelevant content
Solutionai-one Analyst Toolbox
on Box Personal intelligent agents can classify, organize, filter, search and explore Box content to help eliminate wasted time
© ai-one inc. 2013 ai-one
Universal Use Case
Inspiration
Analyze
Fingerprint
Locate
Verify
Visualize
Explore
© ai-one inc. 2013 ai-one
Use Case - Step 1 - Inspiration
User is previewing a document in Box and highlights a concept (at the paragraph,
section, or document level). User elects to find other content in
Box “like this concept”.
© ai-one inc. 2013 ai-one
Use Case – Step 2 - Analyze
BrainBrowser analyzes the
highlighted concept (by sending to the Nathan artificial
brain) and extracts the keywords for a
search on their Box enterprise account.
Box search returns a list of documents
relevant to the detected keywords.
Notice that the list of search terms are longer than the typical user-entered search string. These “keywords that matter the most” were automatically detected by Nathan.
© ai-one inc. 2013 ai-one
… The import data feature provides the ability for users to import data into the Topic-Mapper data structure. Users benefit by having a user interface to import unstructured data, rather than using a command-line interface to insert data.
The view keywords feature provides the ability for users to view a list of keywords identified by Topic-Mapper. Users benefit by having a user interface to view the keywords identified by Topic-Mapper, rather than using a command-line interface to view a list of keywords….
Use Case – Step 3 - Fingerprint
Separately, BrainDocs crawls and fingerprints all
of the documents from the Box search results,
identifies concepts within the documents (at the paragraph, section, or
document level) that have a similar fingerprint to the highlighted concept, and
sorts the list of documents in order of relevance to the
original idea.User may view a document or select to visually explore
the results.
The list of documents are sorted by concept similarity. The user can roll their mouse (or finger, in case of a mobile app) over the list to preview the specific concept within the document that best matches the fingerprint.
© ai-one inc. 2013 ai-one
Use Case – Step 4 - Locate
If the user selects to view a document,
BrainDocs automatically
directs the user to the selected
document in the Box search results.
Notice that the most relevant document was in the middle of the 1116 search results.
© ai-one inc. 2013 ai-one
Use Case – Step 5 - Verify
User previews document in Box and sees
similar concept within content.
Relevant concept is visible (and highlighted) in the document preview.
© ai-one inc. 2013 ai-one
Use Case – Step 6 - Visualize
If user selects to visually explore the results, BrainView displays a graphical view (force-directed
graph) of the conceptual patterns
within the documents (or paragraphs). Nodes within the graph link
back to source documents on Box.
This is a graphical representation of the actual “fingerprint” of our /bin application text.
© ai-one inc. 2013 ai-one
Use Case – Step 7 - Explore
User interactively explores the
visualization to find insight for
further research.
Users can interactively pan and zoom throughout the graph. Selecting a word will highlight associated words and provide the ability to navigate back to source documents.
© ai-one inc. 2013 ai-one
ai-one Cloud-BasedFingerprinting Engine
(BrainDocs, BrainBrowser, BrainView)
ai-one Cloud-BasedData Repositories
Fingerprint Repository
User-SpecificNathan Instances
Architecture
ServiceLayer
DataConversion
Layer
LogicLayer
PresentationLayer
Users
© ai-one inc. 2013 ai-one
Thank you for your consideration!
Kurt ManninenVP Product Developmentai-one inc. 5711 La Jolla Blvd.La Jolla, CA 92037Ph: 8587037302km@ai-one.com
Follow us on Twitter @ai_oneWebsite www.ai-one.com
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