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DIGITAL SCRAPBOOKING
Digital Scrapbooking with Moleskine
The goal of this proposal is to showcase a strategy
for sending content created on Moleskine
notebooks to flexible digital libraries. When
scanning content from the notebooks, we propose
using APIs provided by IBM’s Watson machine
intelligence service to help accelerate the
categorization, context, and interpretation of the
inputted material.
Useful Watson APIs for Moleskine
Visual Recognition
Understanding of the contents of images.
Trainable for custom content.
Through a Content Management System,
Moleskine can train a system to recognize
certain images, thus allowing for sophisticated
tagging so that upon import of notebook
content, the content will already have
context.
Visual Recognition on the web
• Organize image libraries into categories
• Understand a user’s interest based on their artwork
• Find imagery associated with a particular illustration
AlchemyVision
AlchemyVision is an API that can analyze an
image and return the objects, people, and text
found within the image. AlchemyVision can
enhance the way businesses make decisions
by integrating image cognition.
AlchemyVision employs our deep learning
innovations to understand a picture's content
and context.
Alchemy Vision on the web
• Understand what an illustration might be.
• Tag and Categorize the illustrations
• Parse different objects on a page
Visual Insights
Visual Insights enhances the customer view
by analyzing online photos and video to
extract consumer insights related to interests,
activities, hobbies, life events, and products.
Visual Insights on the web
• Visual concepts scores organized in a hierarchical
texonomy (in json format)
• Clusters or groupings of images based on visual
appearance
• Clusters or groupings of images based on semantic
content
AlchemyLanguage
AlchemyLanguage is a collection of APIs that
offer text analysis through natural language
processing. The AlchemyLanguage APIs can
analyze text and help you to understand its
sentiment, keywords, entities, high-level
concepts and more.
AlchemyLanguage on the web
• Entity Extraction
• Sentiment Analysis
• Emotion Analysis (Beta)
• Keyword Extraction
• Concept Tagging
• Relation Extraction
• Taxonomy Classification
• Author Extraction
• Language Detection
• Text Extraction
• Microformats Parsing
• Feed Detection
• Linked Data Support
Digital System Flow Diagram in Detail
Notebook Products Input/Scan
Moleskine
Hub
Corpus
Possible Third-party Content Providers
Moleskine Employees Training Watson on symbols and other learnings
Apps
Content Analysis
Mark
DISORGANIZED NOTE TAKER
Jesse
JOURNAL WRITING & THE QUANTIFIED SELF
Hillary
THE DIGITAL SCRAPBOOK
Hillary
Hillary likes sketch out her ideas before diving
into a design project. She’d like to have a place
where he can take all the different drawings
from all his random notebooks and put them
online so that his clients might be able to see
them in a coherent presentation.
THE DIGITAL SCRAPBOOK
Hillary’s Notebook
Hillary starts her wireframes
as sketches. Often they are
out of order.
ISOLATING THE CREDIT CARD FLOW
Sending the Work to the Moleskine Catalog
Hilary was just notified that the client wants to see
progress on the designs. The problem is that she
has only just begun sketching out concepts.
She uses the Moleskine app to scan the designs.
Catalog of Assets
While the scans are being imported
in the Moleskine Catalog, Watson
analyses the data and places it in
discreet contextual order.
Catalog » Recent Uploads
DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15
DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 TEXT 2-23-15 DIAGRAM 2-23-15
TEXT 2-23-15 TEXT 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 TEXT 2-23-15
CATALOG
PRESENTATIONS
Sort by: DateFilter by: AllFilter by: All
Hillary’s Online Scrapbook
Now that all the content has been
uploaded to the Moleskine Catalog,
Hillary can now arrange the content
in the Presentations Builder.
Client View
Hilary sends a url of an online view
of the presentation she just built.
In just a short time, a professional
document is created and delivered.
Porting Moleskine Catalog to Adobe Creative Cloud
Hillary is working with a team. 

To share content with her
colleagues she ports her Moleskine
Catalog to Creative Cloud.
From there, her colleagues can
take assets and access them
through CC apps.
Mark
DISORGANIZED NOTE TAKER
Mark likes to take notes and ask questions
later. Always on the move and thinking about a
million projects, Mark can barely keep track of
all the notes he's taking.
He’d like some help sorting all the content in
his notebooks.
Mark’s Notebook
Diagrams for
Project A
Notes for
Project B
Unspecific
Doodles
find better book images?
Pre-Tagging Drawings & Notes Before Scan
Location Text List
Appointment Important
Diagram Infographic Logo
Schematic
Mark looks back at his notebook and tries to
make logic out of it. He has one project on a
page, and then another on the next page. What
he really wants is to rearrange all the content in
some kind of order. But how? It’s all on paper
and ink.
By drawing little tags on elements in the
notebook, Mark is assigning content types. He
can then upload the pages to the online Catalog,
and with a Watson API, the Catalog begins to
parse the content into units that can be
assembled, searched, and generally organized.
Notating the notebook
Arthur wants to tag all his logo work so that he
can then later access it online.
How Scanning and Tagging Works
Logo Notation Item appears in the Catalog online
Building a Presentation
Now that the logos are in the
Catalog, Mark can build a
presentation similarly to Hillary.
Jesse
Jesse is dedicated to chronicling her life. She
likes to go back a year or two and see where
she was at both mentally and professionally.
She’d like to find an easier way to extract the
data to find patterns in her behavior.
JOURNAL WRITING & 

THE QUANTIFIED SELF
Jesse’s Notebook
When scanning in her journal
entries, Watson begins to
understand both the content and
context she is writing about.
Dating
Work
Work
Food
Counseling
Health
Media
Time
Content Analysis
Data Trends
In addition to storing her writing on
the online Catalog, Jesse can also
see an overview of how she’s doing.
The content in the journals are
represented with data visualizations
to quickly find trends.
Catalog for Journal Entries
Jesse also has a catalog like Mark
and Hilary, but her’s is filled with
her journal entries converted into
live text.
She can then take this content and
export to Google Drive, Evernote
or similar services.
THANKS FROM
IDEAN

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Moleskine deck v4

  • 2. Digital Scrapbooking with Moleskine The goal of this proposal is to showcase a strategy for sending content created on Moleskine notebooks to flexible digital libraries. When scanning content from the notebooks, we propose using APIs provided by IBM’s Watson machine intelligence service to help accelerate the categorization, context, and interpretation of the inputted material.
  • 3. Useful Watson APIs for Moleskine Visual Recognition Understanding of the contents of images. Trainable for custom content. Through a Content Management System, Moleskine can train a system to recognize certain images, thus allowing for sophisticated tagging so that upon import of notebook content, the content will already have context. Visual Recognition on the web • Organize image libraries into categories • Understand a user’s interest based on their artwork • Find imagery associated with a particular illustration AlchemyVision AlchemyVision is an API that can analyze an image and return the objects, people, and text found within the image. AlchemyVision can enhance the way businesses make decisions by integrating image cognition. AlchemyVision employs our deep learning innovations to understand a picture's content and context. Alchemy Vision on the web • Understand what an illustration might be. • Tag and Categorize the illustrations • Parse different objects on a page Visual Insights Visual Insights enhances the customer view by analyzing online photos and video to extract consumer insights related to interests, activities, hobbies, life events, and products. Visual Insights on the web • Visual concepts scores organized in a hierarchical texonomy (in json format) • Clusters or groupings of images based on visual appearance • Clusters or groupings of images based on semantic content AlchemyLanguage AlchemyLanguage is a collection of APIs that offer text analysis through natural language processing. The AlchemyLanguage APIs can analyze text and help you to understand its sentiment, keywords, entities, high-level concepts and more. AlchemyLanguage on the web • Entity Extraction • Sentiment Analysis • Emotion Analysis (Beta) • Keyword Extraction • Concept Tagging • Relation Extraction • Taxonomy Classification • Author Extraction • Language Detection • Text Extraction • Microformats Parsing • Feed Detection • Linked Data Support
  • 4. Digital System Flow Diagram in Detail Notebook Products Input/Scan Moleskine Hub Corpus Possible Third-party Content Providers Moleskine Employees Training Watson on symbols and other learnings Apps Content Analysis
  • 5. Mark DISORGANIZED NOTE TAKER Jesse JOURNAL WRITING & THE QUANTIFIED SELF Hillary THE DIGITAL SCRAPBOOK
  • 6. Hillary Hillary likes sketch out her ideas before diving into a design project. She’d like to have a place where he can take all the different drawings from all his random notebooks and put them online so that his clients might be able to see them in a coherent presentation. THE DIGITAL SCRAPBOOK
  • 7. Hillary’s Notebook Hillary starts her wireframes as sketches. Often they are out of order. ISOLATING THE CREDIT CARD FLOW
  • 8. Sending the Work to the Moleskine Catalog Hilary was just notified that the client wants to see progress on the designs. The problem is that she has only just begun sketching out concepts. She uses the Moleskine app to scan the designs.
  • 9. Catalog of Assets While the scans are being imported in the Moleskine Catalog, Watson analyses the data and places it in discreet contextual order. Catalog » Recent Uploads DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 TEXT 2-23-15 DIAGRAM 2-23-15 TEXT 2-23-15 TEXT 2-23-15 DIAGRAM 2-23-15 DIAGRAM 2-23-15 TEXT 2-23-15 CATALOG PRESENTATIONS Sort by: DateFilter by: AllFilter by: All
  • 10. Hillary’s Online Scrapbook Now that all the content has been uploaded to the Moleskine Catalog, Hillary can now arrange the content in the Presentations Builder.
  • 11. Client View Hilary sends a url of an online view of the presentation she just built. In just a short time, a professional document is created and delivered.
  • 12. Porting Moleskine Catalog to Adobe Creative Cloud Hillary is working with a team. 
 To share content with her colleagues she ports her Moleskine Catalog to Creative Cloud. From there, her colleagues can take assets and access them through CC apps.
  • 13. Mark DISORGANIZED NOTE TAKER Mark likes to take notes and ask questions later. Always on the move and thinking about a million projects, Mark can barely keep track of all the notes he's taking. He’d like some help sorting all the content in his notebooks.
  • 14. Mark’s Notebook Diagrams for Project A Notes for Project B Unspecific Doodles find better book images?
  • 15. Pre-Tagging Drawings & Notes Before Scan Location Text List Appointment Important Diagram Infographic Logo Schematic Mark looks back at his notebook and tries to make logic out of it. He has one project on a page, and then another on the next page. What he really wants is to rearrange all the content in some kind of order. But how? It’s all on paper and ink. By drawing little tags on elements in the notebook, Mark is assigning content types. He can then upload the pages to the online Catalog, and with a Watson API, the Catalog begins to parse the content into units that can be assembled, searched, and generally organized.
  • 16. Notating the notebook Arthur wants to tag all his logo work so that he can then later access it online.
  • 17. How Scanning and Tagging Works Logo Notation Item appears in the Catalog online
  • 18. Building a Presentation Now that the logos are in the Catalog, Mark can build a presentation similarly to Hillary.
  • 19. Jesse Jesse is dedicated to chronicling her life. She likes to go back a year or two and see where she was at both mentally and professionally. She’d like to find an easier way to extract the data to find patterns in her behavior. JOURNAL WRITING & 
 THE QUANTIFIED SELF
  • 20. Jesse’s Notebook When scanning in her journal entries, Watson begins to understand both the content and context she is writing about. Dating Work Work Food Counseling Health Media Time Content Analysis
  • 21. Data Trends In addition to storing her writing on the online Catalog, Jesse can also see an overview of how she’s doing. The content in the journals are represented with data visualizations to quickly find trends.
  • 22. Catalog for Journal Entries Jesse also has a catalog like Mark and Hilary, but her’s is filled with her journal entries converted into live text. She can then take this content and export to Google Drive, Evernote or similar services.