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

Transcript of ai-one Analyst Toolbox - Box Innovation Network Application

Page 1: ai-one Analyst Toolbox - Box Innovation Network Application

© ai-one inc. 2013 ai-one

ai-one Analyst Toolbox

-Box Innovation Network Application-

Reference Architectures & Use Cases for Leveraging ai-one Technology

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© 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.

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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

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Universal Use Case

Inspiration

Analyze

Fingerprint

Locate

Verify

Visualize

Explore

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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”.

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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.

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… 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.

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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.

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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.

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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.

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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.

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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

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Thank you for your consideration!

Kurt ManninenVP Product Developmentai-one inc. 5711 La Jolla Blvd.La Jolla, CA 92037Ph: [email protected]

Follow us on Twitter @ai_oneWebsite www.ai-one.com