SlideShare ist ein Scribd-Unternehmen logo
1 von 24
Downloaden Sie, um offline zu lesen
The Knowledge Graph of Business News
Your Speakers
Mike Grove
Founder & VP of Engineering, Stardog
Clancy Childs
GM Knowledge Enablement (“Pulsar”)
Dow Jones
Who is Stardog?
• Venture-backed company specializing in knowledge graphs
• Help you connect complex data to improve data
discoverability and analysis
• Spun out of UMD’s AI & Computational Sciences lab
• Based in Washington, DC area
The machine learning [and AI]
race is really a data race.
Megan Beck, Barry Libert - MIT Sloan Review
Sources: IDC Report,
Netowl
PresentPast Future
Unstructured
data
Semi-structured
data
Structured
data
5
YOU GOT DATA
30.3%
CAGR
in non-relational
analytic data stores
PREDICTED BY IDC
800%
GROWTH
in data volume,
mostly in
unstructured
PREDICTED BY GARTNER
It’s only an asset
if you can access it.
But accessing enterprise
data is HARD.
The enterprise data landscape is a mess
THE MAZE
Flexibility, Reusability,
Independence
We provide the features required
to build a Knowledge Graph:
• Unique virtual graphs
capabilities
• Best-in-class Inference Engine
• Built-in machine learning
• NLP pipeline
• Data quality management
tools
• Proprietary high-performance
graph database
HOW STARDOG
WORKS
8
APPS SEARCH REPORTS BI OTHER
ENTERPRISE APPLICATIONS
“Give me A
where B is
true"
Here is your answer?
● The knowledge within Dow Jones is dispersed among multiple products and
data sets.
● Customers increasingly expect personalized experiences and context-relevant
news and data.
● There is a growing need to make sure that our news and data is able to be
consumed by machines as well as humans.
Modern Challenges Need Modern Solutions
“I need to know what news affects me so that I can take appropriate action.”
● An energy company wants to know what regulations might affect their
customers so that they may help provide solutions.
● An advertising sales team wants to know whether any of their customers are
planning product launches that might necessitate a media buy.
● Bankruptcy professionals want to know when a company is in distress and
who the relevant parties may be to offer services.
A Primary Customer Pain Point We Seek to Address
“... but I don’t want to read more articles.”
“No newsletters, please. Our account managers don’t read.”
- An Actual Customer
Our Challenge:
How can we share relevant knowledge with our customers
without making them read “the news”?
The BIG CAVEAT
NEWS EVENTS
PEOPLE
COMPANIES
INSTITUTIONS
COUNTRIES
INDUSTRIES
TIMESTAMPS
RELATIONSHIPS
Every story contains a wealth of (unstructured) data
NEWS EVENTS
PEOPLE
COMPANIES
INSTITUTIONS
COUNTRIES
INDUSTRIES
TIMESTAMPS
RELATIONSHIPS
A Graph to Organize Dow Jones News & Knowledge
NEWS EVENTS
PEOPLE
COMPANIES
INSTITUTIONS
COUNTRIES
INDUSTRIES
TIMESTAMPS
RELATIONSHIPS
A Graph to Organize Dow Jones News & Knowledge
NEWS EVENTS
PEOPLE
COMPANIES
INSTITUTIONS
COUNTRIES
INDUSTRIES
TIMESTAMPS
RELATIONSHIPS
A Graph to Organize Dow Jones News & Knowledge
NEWS EVENTS
PEOPLE
COMPANIES
INSTITUTIONS
COUNTRIES
INDUSTRIES
TIMESTAMPS
RELATIONSHIPS
A Graph to Organize Dow Jones News & Knowledge
Knowledge Graph
Platform
Accessing talent
and food is a
music, art global
entertainment
Festival. A
marketplace that
the Fyre helps
venues, day-to-day
anagement.
Brands,
Accessing talent
and food is a
music, art global
entertainment
Festival. A
marketplace that
the Fyre helps
venues, day-to-day
anagement.
Brands,
Accessing talent
and food is a
music, art global
entertainment
Festival. A
marketplace that
the Fyre helps
venues, day-to-day
anagement.
Brands,
Accessing talent
and food is a
music, art global
entertainment
Festival. A
marketplace that
the Fyre helps
venues, day-to-day
anagement.
Brands,
Accessing talent
and food is a
music, art global
entertainment
Festival. A
marketplace that
the Fyre helps
venues, day-to-day
anagement.
Brands,
Knowledge Extraction and
Ingestion Pipelines
CRM
ERP Contacts
Stock
Portfolio
Customer Entity
Matching APIs
📱🖥💻🎤
Products
The Three Parts to a Platform Solution
News Signals as a Service
Company Mapping
API
...and fed into Dow Jones’ Company Mapping API,
which, using features such as names, domains,
addresses etc., identifies the companies on the
Dow Jones Knowledge Graph.
"crmId": 12345,
"name": "Blackrock Inc.",
"address": "295 Madison
Avenue, New York, NY"
"crmId": 23456,
"name": "Google LLC",
"emailDomain":"google.com
"
"crmId": 34567,
"name": "Triumph Group
Inc.",
"address":"Berwyn, PA"
Customer’s CRM records are extracted...
As they occur, news events are
extracted, structured and attached
to companies on customer’s
watchlist, previously identified on
the Knowledge Graph.
“12345”
“786987052”
“BlackRock Inc.”
“BLK”hasNam
e
hasTicker
hasDUNS
crm
ID
“FacilityOpening”
city
!
eventType
company
“Atlanta, GA”
“BlackRock ... is putting a new innovation
center in Atlanta ”
Atlanta Business Chronicle, Feb 1, 2019
Customer’s Data Lake
Relevant news events are then
delivered to the customer (as a flat
file/newsletter/spreadsheet, via APIs
or through a GUI)
"name": "BlackRock Inc.",
"signal": [{
"type": "FacilityOpening",
"country": "US",
"city": "Atlanta, GA",
"date": "2019-FEB-1"}]
Customer’s Data Lake
First-Party Data
{76545: BlackRock
Inc., MQL score: +100}The signals can also be fed into
a marketing automation “decision
tree”, impacting MQL scores
"name": "BlackRock Inc.",
"signal": [{
"type": "FacilityOpening",
"country": "US",
"city": "Atlanta, GA",
"date": "2019-FEB-1"}]
Thank You!

Weitere ähnliche Inhalte

Was ist angesagt?

Big Data Power auf Ihrem Schreibtisch
Big Data Power auf Ihrem SchreibtischBig Data Power auf Ihrem Schreibtisch
Big Data Power auf Ihrem SchreibtischAnalyx
 
BigData & Supply Chain: A "Small" Introduction
BigData & Supply Chain: A "Small" IntroductionBigData & Supply Chain: A "Small" Introduction
BigData & Supply Chain: A "Small" IntroductionIvan Gruer
 
Building new business models through big data dec 06 2012
Building new business models through big data   dec 06 2012Building new business models through big data   dec 06 2012
Building new business models through big data dec 06 2012Aki Balogh
 
IT and Procurement: Opportunities and Implementation of New Analytics Technol...
IT and Procurement: Opportunities and Implementation of New Analytics Technol...IT and Procurement: Opportunities and Implementation of New Analytics Technol...
IT and Procurement: Opportunities and Implementation of New Analytics Technol...Ivan Gruer
 
How to identify the Return on Investment of Big Data
How to identify the Return on Investment of Big DataHow to identify the Return on Investment of Big Data
How to identify the Return on Investment of Big DataJose Pablo Fernandez
 
Optimising urban densities with insights from geospatial data
Optimising urban densities with insights from geospatial dataOptimising urban densities with insights from geospatial data
Optimising urban densities with insights from geospatial dataDenis Skachidub
 
Tech M&A Monthly: What Happens If You Don’t Sell?
Tech M&A Monthly: What Happens If You Don’t Sell?Tech M&A Monthly: What Happens If You Don’t Sell?
Tech M&A Monthly: What Happens If You Don’t Sell?Corum Group
 
AI and Machine Learning in Marketing
AI and Machine Learning in MarketingAI and Machine Learning in Marketing
AI and Machine Learning in MarketingFour Quadrant LLC
 
360i Report: Big Data
360i Report: Big Data360i Report: Big Data
360i Report: Big Data360i
 
Google knowledge graph
Google knowledge graphGoogle knowledge graph
Google knowledge graphAkhilesh Joshi
 
Big Data Startups - Top Visualization and Data Analytics Startups
Big Data Startups - Top Visualization and Data Analytics StartupsBig Data Startups - Top Visualization and Data Analytics Startups
Big Data Startups - Top Visualization and Data Analytics Startupswallesplace
 
Panel: Powering Business Decision Making
Panel: Powering Business Decision MakingPanel: Powering Business Decision Making
Panel: Powering Business Decision MakingMRS
 
Late Stage AdTech Market Update (Thomvest Ventures)
Late Stage AdTech Market Update (Thomvest Ventures)Late Stage AdTech Market Update (Thomvest Ventures)
Late Stage AdTech Market Update (Thomvest Ventures)Thomvest Ventures
 
Thomvest Ventures Real Estate Tech Review, Fall 2019
Thomvest Ventures Real Estate Tech Review, Fall 2019Thomvest Ventures Real Estate Tech Review, Fall 2019
Thomvest Ventures Real Estate Tech Review, Fall 2019Thomvest Ventures
 
AI For Marketers - Mascha Driessen
AI For Marketers - Mascha DriessenAI For Marketers - Mascha Driessen
AI For Marketers - Mascha Driessenbertram_welink
 
1400 omma beh dane hulquist
1400 omma beh dane hulquist1400 omma beh dane hulquist
1400 omma beh dane hulquistMediaPost
 
Sponsor Breakfast Presentation by TruSignal
Sponsor Breakfast Presentation by TruSignalSponsor Breakfast Presentation by TruSignal
Sponsor Breakfast Presentation by TruSignalMediaPost
 

Was ist angesagt? (20)

Big Data Power auf Ihrem Schreibtisch
Big Data Power auf Ihrem SchreibtischBig Data Power auf Ihrem Schreibtisch
Big Data Power auf Ihrem Schreibtisch
 
BigData & Supply Chain: A "Small" Introduction
BigData & Supply Chain: A "Small" IntroductionBigData & Supply Chain: A "Small" Introduction
BigData & Supply Chain: A "Small" Introduction
 
Building new business models through big data dec 06 2012
Building new business models through big data   dec 06 2012Building new business models through big data   dec 06 2012
Building new business models through big data dec 06 2012
 
IT and Procurement: Opportunities and Implementation of New Analytics Technol...
IT and Procurement: Opportunities and Implementation of New Analytics Technol...IT and Procurement: Opportunities and Implementation of New Analytics Technol...
IT and Procurement: Opportunities and Implementation of New Analytics Technol...
 
How to identify the Return on Investment of Big Data
How to identify the Return on Investment of Big DataHow to identify the Return on Investment of Big Data
How to identify the Return on Investment of Big Data
 
Smrt data
Smrt dataSmrt data
Smrt data
 
Optimising urban densities with insights from geospatial data
Optimising urban densities with insights from geospatial dataOptimising urban densities with insights from geospatial data
Optimising urban densities with insights from geospatial data
 
Tech M&A Monthly: What Happens If You Don’t Sell?
Tech M&A Monthly: What Happens If You Don’t Sell?Tech M&A Monthly: What Happens If You Don’t Sell?
Tech M&A Monthly: What Happens If You Don’t Sell?
 
AI and Machine Learning in Marketing
AI and Machine Learning in MarketingAI and Machine Learning in Marketing
AI and Machine Learning in Marketing
 
360i Report: Big Data
360i Report: Big Data360i Report: Big Data
360i Report: Big Data
 
The expanding data discovery market
The expanding data discovery marketThe expanding data discovery market
The expanding data discovery market
 
Security Market Update
Security Market UpdateSecurity Market Update
Security Market Update
 
Google knowledge graph
Google knowledge graphGoogle knowledge graph
Google knowledge graph
 
Big Data Startups - Top Visualization and Data Analytics Startups
Big Data Startups - Top Visualization and Data Analytics StartupsBig Data Startups - Top Visualization and Data Analytics Startups
Big Data Startups - Top Visualization and Data Analytics Startups
 
Panel: Powering Business Decision Making
Panel: Powering Business Decision MakingPanel: Powering Business Decision Making
Panel: Powering Business Decision Making
 
Late Stage AdTech Market Update (Thomvest Ventures)
Late Stage AdTech Market Update (Thomvest Ventures)Late Stage AdTech Market Update (Thomvest Ventures)
Late Stage AdTech Market Update (Thomvest Ventures)
 
Thomvest Ventures Real Estate Tech Review, Fall 2019
Thomvest Ventures Real Estate Tech Review, Fall 2019Thomvest Ventures Real Estate Tech Review, Fall 2019
Thomvest Ventures Real Estate Tech Review, Fall 2019
 
AI For Marketers - Mascha Driessen
AI For Marketers - Mascha DriessenAI For Marketers - Mascha Driessen
AI For Marketers - Mascha Driessen
 
1400 omma beh dane hulquist
1400 omma beh dane hulquist1400 omma beh dane hulquist
1400 omma beh dane hulquist
 
Sponsor Breakfast Presentation by TruSignal
Sponsor Breakfast Presentation by TruSignalSponsor Breakfast Presentation by TruSignal
Sponsor Breakfast Presentation by TruSignal
 

Ähnlich wie Dow Jones: Reimagining the News as a Knowledge Graph

New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data Artist
New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data ArtistNew White Paper by Jim Sterne and Anametrix - From Data Scientist to Data Artist
New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data ArtistAnametrix
 
Analyzing your market: How Big Data plus Social Equals Better Engagement
Analyzing your market: How Big Data plus Social Equals Better EngagementAnalyzing your market: How Big Data plus Social Equals Better Engagement
Analyzing your market: How Big Data plus Social Equals Better Engagementcadmef
 
Technology Trends and a Digital Revolution - Alexandre Blauth
Technology Trends and a Digital Revolution - Alexandre BlauthTechnology Trends and a Digital Revolution - Alexandre Blauth
Technology Trends and a Digital Revolution - Alexandre BlauthGeneXus
 
Hooked portfolio-r6-hi res
Hooked portfolio-r6-hi resHooked portfolio-r6-hi res
Hooked portfolio-r6-hi res1reneHatchett
 
Dmc white paper data economics
Dmc white paper data economicsDmc white paper data economics
Dmc white paper data economicsmvsavage
 
Imnswp 16038 analytics manifesto_final
Imnswp 16038 analytics manifesto_finalImnswp 16038 analytics manifesto_final
Imnswp 16038 analytics manifesto_finalRosario Cunha
 
Big Data for the Retail Business I Swan Insights I Solvay Business School
Big Data for the Retail Business I Swan Insights I Solvay Business SchoolBig Data for the Retail Business I Swan Insights I Solvay Business School
Big Data for the Retail Business I Swan Insights I Solvay Business SchoolLaurent Kinet
 
Social Intelligence in the Age of Infobesity - A Verifeed White Paper
Social Intelligence in the Age of Infobesity - A Verifeed White PaperSocial Intelligence in the Age of Infobesity - A Verifeed White Paper
Social Intelligence in the Age of Infobesity - A Verifeed White PaperMelinda Wittstock
 
Learn to Find Your Dream Job with Your Dream Employer with DreamPath
Learn to Find Your Dream Job with Your Dream Employer with DreamPath Learn to Find Your Dream Job with Your Dream Employer with DreamPath
Learn to Find Your Dream Job with Your Dream Employer with DreamPath pdx MindShare
 
Capitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsCapitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsHassan Keshavarz
 
Riding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyRiding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
 
What is big data ? | Big Data Applications
What is big data ? | Big Data ApplicationsWhat is big data ? | Big Data Applications
What is big data ? | Big Data ApplicationsShilpaKrishna6
 
CMO's guide to AI (Artificial Intelligence)
CMO's guide to AI (Artificial Intelligence)CMO's guide to AI (Artificial Intelligence)
CMO's guide to AI (Artificial Intelligence)Chris Baker
 
World’s 10 Best Data Integration Solution Providers 2022.pdf
World’s 10 Best Data Integration Solution Providers 2022.pdfWorld’s 10 Best Data Integration Solution Providers 2022.pdf
World’s 10 Best Data Integration Solution Providers 2022.pdfInsightsSuccess4
 
7 Experts on Transforming Customer Experience with Data Insights (1)
7 Experts on Transforming Customer Experience with Data Insights (1)7 Experts on Transforming Customer Experience with Data Insights (1)
7 Experts on Transforming Customer Experience with Data Insights (1)Mighty Guides, Inc.
 

Ähnlich wie Dow Jones: Reimagining the News as a Knowledge Graph (20)

New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data Artist
New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data ArtistNew White Paper by Jim Sterne and Anametrix - From Data Scientist to Data Artist
New White Paper by Jim Sterne and Anametrix - From Data Scientist to Data Artist
 
Analyzing your market: How Big Data plus Social Equals Better Engagement
Analyzing your market: How Big Data plus Social Equals Better EngagementAnalyzing your market: How Big Data plus Social Equals Better Engagement
Analyzing your market: How Big Data plus Social Equals Better Engagement
 
What is big data
What is big dataWhat is big data
What is big data
 
Technology Trends and a Digital Revolution - Alexandre Blauth
Technology Trends and a Digital Revolution - Alexandre BlauthTechnology Trends and a Digital Revolution - Alexandre Blauth
Technology Trends and a Digital Revolution - Alexandre Blauth
 
Hooked portfolio-r6-hi res
Hooked portfolio-r6-hi resHooked portfolio-r6-hi res
Hooked portfolio-r6-hi res
 
Dmc white paper data economics
Dmc white paper data economicsDmc white paper data economics
Dmc white paper data economics
 
Imnswp 16038 analytics manifesto_final
Imnswp 16038 analytics manifesto_finalImnswp 16038 analytics manifesto_final
Imnswp 16038 analytics manifesto_final
 
July Update Breakfast
July Update BreakfastJuly Update Breakfast
July Update Breakfast
 
Building data science teams
Building data science teamsBuilding data science teams
Building data science teams
 
Data scientist
Data scientistData scientist
Data scientist
 
Big Data for the Retail Business I Swan Insights I Solvay Business School
Big Data for the Retail Business I Swan Insights I Solvay Business SchoolBig Data for the Retail Business I Swan Insights I Solvay Business School
Big Data for the Retail Business I Swan Insights I Solvay Business School
 
Social Intelligence in the Age of Infobesity - A Verifeed White Paper
Social Intelligence in the Age of Infobesity - A Verifeed White PaperSocial Intelligence in the Age of Infobesity - A Verifeed White Paper
Social Intelligence in the Age of Infobesity - A Verifeed White Paper
 
Learn to Find Your Dream Job with Your Dream Employer with DreamPath
Learn to Find Your Dream Job with Your Dream Employer with DreamPath Learn to Find Your Dream Job with Your Dream Employer with DreamPath
Learn to Find Your Dream Job with Your Dream Employer with DreamPath
 
Capitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsCapitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data Analytics
 
Riding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyRiding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information Technology
 
What is big data ? | Big Data Applications
What is big data ? | Big Data ApplicationsWhat is big data ? | Big Data Applications
What is big data ? | Big Data Applications
 
CMO's guide to AI (Artificial Intelligence)
CMO's guide to AI (Artificial Intelligence)CMO's guide to AI (Artificial Intelligence)
CMO's guide to AI (Artificial Intelligence)
 
World’s 10 Best Data Integration Solution Providers 2022.pdf
World’s 10 Best Data Integration Solution Providers 2022.pdfWorld’s 10 Best Data Integration Solution Providers 2022.pdf
World’s 10 Best Data Integration Solution Providers 2022.pdf
 
7 Experts on Transforming Customer Experience with Data Insights (1)
7 Experts on Transforming Customer Experience with Data Insights (1)7 Experts on Transforming Customer Experience with Data Insights (1)
7 Experts on Transforming Customer Experience with Data Insights (1)
 
The 10 best performing big data & business analytics companies july 2017
The 10 best performing big data & business analytics companies july 2017The 10 best performing big data & business analytics companies july 2017
The 10 best performing big data & business analytics companies july 2017
 

Mehr von Connected Data World

Systems that learn and reason | Frank Van Harmelen
Systems that learn and reason | Frank Van HarmelenSystems that learn and reason | Frank Van Harmelen
Systems that learn and reason | Frank Van HarmelenConnected Data World
 
Graph Abstractions Matter by Ora Lassila
Graph Abstractions Matter by Ora LassilaGraph Abstractions Matter by Ora Lassila
Graph Abstractions Matter by Ora LassilaConnected Data World
 
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...Connected Data World
 
How to get started with Graph Machine Learning
How to get started with Graph Machine LearningHow to get started with Graph Machine Learning
How to get started with Graph Machine LearningConnected Data World
 
The years of the graph: The future of the future is here
The years of the graph: The future of the future is hereThe years of the graph: The future of the future is here
The years of the graph: The future of the future is hereConnected Data World
 
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2Connected Data World
 
From Taxonomies and Schemas to Knowledge Graphs: Part 3
From Taxonomies and Schemas to Knowledge Graphs: Part 3From Taxonomies and Schemas to Knowledge Graphs: Part 3
From Taxonomies and Schemas to Knowledge Graphs: Part 3Connected Data World
 
In Search of the Universal Data Model
In Search of the Universal Data ModelIn Search of the Universal Data Model
In Search of the Universal Data ModelConnected Data World
 
Graph in Apache Cassandra. The World’s Most Scalable Graph Database
Graph in Apache Cassandra. The World’s Most Scalable Graph DatabaseGraph in Apache Cassandra. The World’s Most Scalable Graph Database
Graph in Apache Cassandra. The World’s Most Scalable Graph DatabaseConnected Data World
 
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...Connected Data World
 
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...Connected Data World
 
Semantic similarity for faster Knowledge Graph delivery at scale
Semantic similarity for faster Knowledge Graph delivery at scaleSemantic similarity for faster Knowledge Graph delivery at scale
Semantic similarity for faster Knowledge Graph delivery at scaleConnected Data World
 
Schema, Google & The Future of the Web
Schema, Google & The Future of the WebSchema, Google & The Future of the Web
Schema, Google & The Future of the WebConnected Data World
 
RAPIDS cuGraph – Accelerating all your Graph needs
RAPIDS cuGraph – Accelerating all your Graph needsRAPIDS cuGraph – Accelerating all your Graph needs
RAPIDS cuGraph – Accelerating all your Graph needsConnected Data World
 
Elegant and Scalable Code Querying with Code Property Graphs
Elegant and Scalable Code Querying with Code Property GraphsElegant and Scalable Code Querying with Code Property Graphs
Elegant and Scalable Code Querying with Code Property GraphsConnected Data World
 
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...Connected Data World
 
Graph for Good: Empowering your NGO
Graph for Good: Empowering your NGOGraph for Good: Empowering your NGO
Graph for Good: Empowering your NGOConnected Data World
 
What are we Talking About, When we Talk About Ontology?
What are we Talking About, When we Talk About Ontology?What are we Talking About, When we Talk About Ontology?
What are we Talking About, When we Talk About Ontology?Connected Data World
 

Mehr von Connected Data World (20)

Systems that learn and reason | Frank Van Harmelen
Systems that learn and reason | Frank Van HarmelenSystems that learn and reason | Frank Van Harmelen
Systems that learn and reason | Frank Van Harmelen
 
Graph Abstractions Matter by Ora Lassila
Graph Abstractions Matter by Ora LassilaGraph Abstractions Matter by Ora Lassila
Graph Abstractions Matter by Ora Lassila
 
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...
 
How to get started with Graph Machine Learning
How to get started with Graph Machine LearningHow to get started with Graph Machine Learning
How to get started with Graph Machine Learning
 
Graphs in sustainable finance
Graphs in sustainable financeGraphs in sustainable finance
Graphs in sustainable finance
 
The years of the graph: The future of the future is here
The years of the graph: The future of the future is hereThe years of the graph: The future of the future is here
The years of the graph: The future of the future is here
 
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2
 
From Taxonomies and Schemas to Knowledge Graphs: Part 3
From Taxonomies and Schemas to Knowledge Graphs: Part 3From Taxonomies and Schemas to Knowledge Graphs: Part 3
From Taxonomies and Schemas to Knowledge Graphs: Part 3
 
In Search of the Universal Data Model
In Search of the Universal Data ModelIn Search of the Universal Data Model
In Search of the Universal Data Model
 
Graph in Apache Cassandra. The World’s Most Scalable Graph Database
Graph in Apache Cassandra. The World’s Most Scalable Graph DatabaseGraph in Apache Cassandra. The World’s Most Scalable Graph Database
Graph in Apache Cassandra. The World’s Most Scalable Graph Database
 
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
 
Graph Realities
Graph RealitiesGraph Realities
Graph Realities
 
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...
 
Semantic similarity for faster Knowledge Graph delivery at scale
Semantic similarity for faster Knowledge Graph delivery at scaleSemantic similarity for faster Knowledge Graph delivery at scale
Semantic similarity for faster Knowledge Graph delivery at scale
 
Schema, Google & The Future of the Web
Schema, Google & The Future of the WebSchema, Google & The Future of the Web
Schema, Google & The Future of the Web
 
RAPIDS cuGraph – Accelerating all your Graph needs
RAPIDS cuGraph – Accelerating all your Graph needsRAPIDS cuGraph – Accelerating all your Graph needs
RAPIDS cuGraph – Accelerating all your Graph needs
 
Elegant and Scalable Code Querying with Code Property Graphs
Elegant and Scalable Code Querying with Code Property GraphsElegant and Scalable Code Querying with Code Property Graphs
Elegant and Scalable Code Querying with Code Property Graphs
 
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...
 
Graph for Good: Empowering your NGO
Graph for Good: Empowering your NGOGraph for Good: Empowering your NGO
Graph for Good: Empowering your NGO
 
What are we Talking About, When we Talk About Ontology?
What are we Talking About, When we Talk About Ontology?What are we Talking About, When we Talk About Ontology?
What are we Talking About, When we Talk About Ontology?
 

Kürzlich hochgeladen

What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxSimranPal17
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesTimothy Spann
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingsocarem879
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our WorldEduminds Learning
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data VisualizationKianJazayeri1
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataTecnoIncentive
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonTimothy Spann
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxHaritikaChhatwal1
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfSubhamKumar3239
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksdeepakthakur548787
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Seán Kennedy
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxHimangsuNath
 

Kürzlich hochgeladen (20)

What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptx
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processing
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our World
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data Visualization
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded data
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptx
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdf
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing works
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptx
 

Dow Jones: Reimagining the News as a Knowledge Graph

  • 1. The Knowledge Graph of Business News
  • 2. Your Speakers Mike Grove Founder & VP of Engineering, Stardog Clancy Childs GM Knowledge Enablement (“Pulsar”) Dow Jones
  • 3. Who is Stardog? • Venture-backed company specializing in knowledge graphs • Help you connect complex data to improve data discoverability and analysis • Spun out of UMD’s AI & Computational Sciences lab • Based in Washington, DC area
  • 4. The machine learning [and AI] race is really a data race. Megan Beck, Barry Libert - MIT Sloan Review
  • 5. Sources: IDC Report, Netowl PresentPast Future Unstructured data Semi-structured data Structured data 5 YOU GOT DATA 30.3% CAGR in non-relational analytic data stores PREDICTED BY IDC 800% GROWTH in data volume, mostly in unstructured PREDICTED BY GARTNER
  • 6. It’s only an asset if you can access it. But accessing enterprise data is HARD. The enterprise data landscape is a mess THE MAZE
  • 8. We provide the features required to build a Knowledge Graph: • Unique virtual graphs capabilities • Best-in-class Inference Engine • Built-in machine learning • NLP pipeline • Data quality management tools • Proprietary high-performance graph database HOW STARDOG WORKS 8 APPS SEARCH REPORTS BI OTHER ENTERPRISE APPLICATIONS “Give me A where B is true" Here is your answer?
  • 9.
  • 10. ● The knowledge within Dow Jones is dispersed among multiple products and data sets. ● Customers increasingly expect personalized experiences and context-relevant news and data. ● There is a growing need to make sure that our news and data is able to be consumed by machines as well as humans. Modern Challenges Need Modern Solutions
  • 11. “I need to know what news affects me so that I can take appropriate action.” ● An energy company wants to know what regulations might affect their customers so that they may help provide solutions. ● An advertising sales team wants to know whether any of their customers are planning product launches that might necessitate a media buy. ● Bankruptcy professionals want to know when a company is in distress and who the relevant parties may be to offer services. A Primary Customer Pain Point We Seek to Address
  • 12. “... but I don’t want to read more articles.” “No newsletters, please. Our account managers don’t read.” - An Actual Customer Our Challenge: How can we share relevant knowledge with our customers without making them read “the news”? The BIG CAVEAT
  • 18. Knowledge Graph Platform Accessing talent and food is a music, art global entertainment Festival. A marketplace that the Fyre helps venues, day-to-day anagement. Brands, Accessing talent and food is a music, art global entertainment Festival. A marketplace that the Fyre helps venues, day-to-day anagement. Brands, Accessing talent and food is a music, art global entertainment Festival. A marketplace that the Fyre helps venues, day-to-day anagement. Brands, Accessing talent and food is a music, art global entertainment Festival. A marketplace that the Fyre helps venues, day-to-day anagement. Brands, Accessing talent and food is a music, art global entertainment Festival. A marketplace that the Fyre helps venues, day-to-day anagement. Brands, Knowledge Extraction and Ingestion Pipelines CRM ERP Contacts Stock Portfolio Customer Entity Matching APIs 📱🖥💻🎤 Products The Three Parts to a Platform Solution
  • 19. News Signals as a Service
  • 20. Company Mapping API ...and fed into Dow Jones’ Company Mapping API, which, using features such as names, domains, addresses etc., identifies the companies on the Dow Jones Knowledge Graph. "crmId": 12345, "name": "Blackrock Inc.", "address": "295 Madison Avenue, New York, NY" "crmId": 23456, "name": "Google LLC", "emailDomain":"google.com " "crmId": 34567, "name": "Triumph Group Inc.", "address":"Berwyn, PA" Customer’s CRM records are extracted...
  • 21. As they occur, news events are extracted, structured and attached to companies on customer’s watchlist, previously identified on the Knowledge Graph. “12345” “786987052” “BlackRock Inc.” “BLK”hasNam e hasTicker hasDUNS crm ID “FacilityOpening” city ! eventType company “Atlanta, GA” “BlackRock ... is putting a new innovation center in Atlanta ” Atlanta Business Chronicle, Feb 1, 2019
  • 22. Customer’s Data Lake Relevant news events are then delivered to the customer (as a flat file/newsletter/spreadsheet, via APIs or through a GUI) "name": "BlackRock Inc.", "signal": [{ "type": "FacilityOpening", "country": "US", "city": "Atlanta, GA", "date": "2019-FEB-1"}]
  • 23. Customer’s Data Lake First-Party Data {76545: BlackRock Inc., MQL score: +100}The signals can also be fed into a marketing automation “decision tree”, impacting MQL scores "name": "BlackRock Inc.", "signal": [{ "type": "FacilityOpening", "country": "US", "city": "Atlanta, GA", "date": "2019-FEB-1"}]