AI is transforming the financial media industry – impacting everything from content creation to consumption trends. Clancy Childs, general manager of Dow Jones’ knowledge enablement unit, will share insights into how Dow Jones is reimagining what the news looks like.
Learn how Dow Jones’ knowledge graph platform – powered by Stardog – enables the company to unify structured and unstructured data from a vast range of news sources and deliver cutting-edge insights for customers and partners globally.
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
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"}]