Presentation slides for Global AI Bootcamp 2019 Sydney - Knowledge Mining using Azure Cognitive Search

1. Knowledge Mining using Azure Search and
Cognitive Services
@anupamranku
linkedin.com/in/ranku
ranku.site bit.ly/38Bdr1V

2. Agenda

3. Machine learning Knowledge mining AI apps & agents

6. Understanding the latent value in all content

7. Data created in the world per day
2.5
quintillion
bytes
Percentage of unstructured data
80%
Productivity lost per knowledge
worker each year due to
information searches
$14,209

10. A search-as-a-service solution
allowing developers to
incorporate AI-enriched search
experiences into applications
without managing infrastructure
or needing to become search
experts.
What is Azure Cognitive Search?

11. management free
ai enabled cognitive search
keyword search
faceting
language analyzers
geospatial support
suggestions/auto-complete
customizable scoring
proximity search
synonyms
etc.
Azure Cognitive Search
Search-as-a-Service

12. The Cognitive Search Pattern
Data in any format,
any Azure store
Annotations
Skillset Search
Ingest Enrich Explore

13. Ingest Enrich
Your data source
TranslationNEW
AML models
experience 2
3
1
document
primaryImage
secondaryImage
History
Origin
Construction
Design
Material
Aesthetics
Tourism
Access
Popularity

14. Ingest
Background on Eiffel Tower
Enrich Explore
experience 2
3
1
document
primaryImage
secondaryImage
History
Origin
Construction
Design
Material
Aesthetics
Tourism
Access
Popularity

15. 0 Results Any time
Show change in price over time

16. Cognitive Search
A new capability of Azure Search
Enriched
Documents
Source
Data
Search Index
INGEST ENRICH EXPLORE

17. Knowledge Store
Projections
Enriched
Documents
Source
Data
Search Index

19. Built-in skills
Location entity extraction
Persons entity extraction
Celebrity recognition
Landmark detection
Sentiment analysis
Translation
Image tag extraction
Printed text recognition
Key Phrase extraction
Organization entity extraction
Face detection
Text Utilities
Cognitive skills
Azure
Databricks
Machine Learning
VMs
Azure Machine
Learning
Custom skills
Your custom
skill goes here!

20. Document Cracking
 Built-in connectors
 Blob Storage
 Azure SQL
 Cosmos DB
 Azure Tables
 ADLS Gen2 (new! - gated public preview!)
 File formats supported in
blob storage
 rtf
 json
 html
 doc
 ppt
 xls
 pdf
 xml
 png
 jpg
 tiff
 bmp

21. Fully managed
Easy to use
Built-in AI
Uncover latent insights from all your content
Customizable

23. Auditing and compliance
Customer feedback analytics
Technical content review
Digital asset management
Business process automation
Catalog search

24. “We’re in the midst of a renaissance right now, with AI bringing art and science together in a way that
will enable online visitors to develop a deeper and more personally relevant connection to art.”
Maria Kessler
Senior Program Manager, Digital Partnerships
The Metropolitan Museum of Art
Solution
Art exploration
application allowing for
anyone to explore The
Met’s Open Access
collection
Results
• Discover artworks with new
pathways to similar or related works
• Explore enriched information about
the artist and their works
• Find connections to artworks based
on location and time period
Connecting people to creativity, knowledge, and ideas.
The Metropolitan Museum of Art

25. Art
Metadata
Art work
Images
Image Tagging
Art Explorer
Enrich The Met’s Open Access Data
AI Enabled
Cognitive skills
Art Explorer
Geo-Point
Extractor
Azure Blob
Storage
Custom Object
Detector
Similar
Image
Tagger
Biography
Enricher
Web AppAzure Search
Search
Index
Ingest Enrich Explore

26. Demo: The Met
https://art-explorer.azurewebsites.net/search

27. What’s new to in Azure Cognitive Search

28. Resources
KM workshop
Power Skills
• Ignite Videos – Session On-Demand Catalog

29. Thank you
Anupam Ranku
@anupamranku
linkedin.com/in/ranku
ranku.site
bit.ly/38Bdr1V