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Terbine Data Exchange
Platform (TDEP)
Policy
Engine
Overview
NON-CLASSIFIED INFORMATION
MARKETPLACE SCALING ISSUES TEND TO GET SOLVED BY ESTABLISHING LARGE EXCHANGES
PROBLEM
1
SOLUTION RESULT
Commodities trading can’t
scale when each broker has
to set up individual contracts
and trades with every other
A centralized commodity
exchange means that all
brokerages only have to
deal with one main authority
Dramatic growth in the
global commodities trading
business and an overall
trusted deal environment
Aircraft become faster and
more plentiful, making it
impossible to leave control
solely with onboard pilots
The internationally agreed
system for air traffic control
and the use of English as
the lingua franca of the sky
Continued growth in global
air travel, with no major
incidents ever attributed to
a failure of air traffic control
Numerous banks needed to
transact funds without
negotiating transfer deals
with every other global bank
SWIFT is created to give all
Tier One banks a single
system to which they can
subscribe & exchange funds
More than 11,000 SWIFT
member institutions send
over $5 Trillion in financial
transactions every day
Consumers don’t have a
means to send money
digitally without exposing
their personal information
PayPal provides a trusted
intermediary service where
sellers & buyers can move
funds seamlessly & safely
With the consumer funds
transaction issue solved,
eBay grows rapidly to lead
the online auction category
Under the current schema
by which IoT data is made
available to third parties,
each use-case requires a
manually negotiated deal
Both data providers & users
subscribe to a common AI
platform which standardizes
business, legal & technical
aspects of exchanging
The rapid development &
evolution of an ecosystem
based around data coming
from and going to machines,
systems and people
0
TERBINE IS THE FIRST COMMERCIALLY VIABLE EXCHANGE FOR MACHINE-GENERATED DATA
2
Trusted
Data
Exchange
Data Ingestion
Provenance
Contextualization
Source Grading
Metadata Production
Indexing
Rich Search
IoT Connectors
Transaction Logging
Policy Handling
Rights Management
Pricing & Billing
Seller Payments
Securitization
Continuous Feeds
Archiving
Car & truck fleets, trains, autonomous land
vehicles, manned and unmanned aircraft,
ships, satellite, cell towers, buildings,
billboards, light poles, roads, bridges, grids,
pipelines, traffic control systems and other
machine-generated data providers
IOT DATA SOURCES
Analytics software & systems, manned &
autonomous vehicle fleet operators, charging
networks, federal/state/county/municipal
agencies, regulatory oversight bodies,
financial services & insurance providers, and
other ecosystem participants in many sectors
IOT DATA USERS
2
SHRINKING MONTHS TO MILLISECONDS TO MAKE DATA EXCHANGING VIABLE AND SCALABLE
Existing methods for setting up IoT data sharing
are time-consuming, archaic and involve individual
negotiations between providers and users, all
manual one-offs that take months to put into
practice – these are entirely non-scalable
3
Companies and public sector agencies don’t need
custom-negotiated agreements, they need to exchange
data – Terbine was formed to remove friction and
automate the processes that enable machine-generated
data to flow in a controlled and trusted manner
MOVING THE PROBLEM SET INTO THE NETWORK, WHERE IT BECOMES MANAGEABLE
 Much like the large systems that operate the financial, logistics
and digital media worlds, the Terbine Data Exchange Platform
(TDEP) is the needed “network brain” that will enable rapid
adoption and scaling. It starts by bringing data providers &/or
users under a single legal umbrella aka the bilateral Terms Of
Use
 Instead of having to negotiate all terms and conditions of data
conveyance up front and on a case-by-case basis, a
sophisticated and highly adaptable Policy Engine handles the
specific requirements of each data provider vis a vis
how/where/when/to whom their data files or streams can be
routed – this moves the problem into the network and thus
makes it highly efficient, and real time
 The Policy Engine can be controlled “on the fly” via both Web
and programmatic interfaces (APIs) to give data providers
unprecedented control over the distribution of their machine-
generated data feeds – and makes monetization practical
4
0
THE POLICY ENGINE IS TIGHTLY INTEGRATED WITH THE CORE DATA EXCHANGE PLATFORM
5
0
RETRIEVE DATA
ADMIN & OPERATIONAL STORE
EXTERNAL / OPEN
DATA
METADATA
PERSISTENT
STORE
INGESTION
API
SENSOR
DATA
STORAGE
RETRIEVAL
API
TRANSACTIONAL
PERSISTENT
STORAGE
NOTIFICATION / AUDIT SERVICES
METADATA
SERVICES
POLICY
ENGINE
DATA
GRADING
CHARGING/
PRICING ENGINE
IDENTITY
SERVICES
SECURITY / PERMISSION LAYER
SEARCH /
DISCOVERY API
CLIENT API SECURITY API ADMIN API
INGESTION
ADAPTER
INGESTION
ADAPTER
INGESTION
ADAPTER
INGESTION
ADAPTER
STANDARD
ADAPTER
STANDARD
ADAPTER
CUSTOM
ADAPTER
CUSTOM
ADAPTER
IOT
PLATFORM
CLOUD
DATABASE
DATA
LAKE
SENSOR
CLUSTER
ANALYTICS
PROGRAMS
IOT
PLATFORMS
ROBOTICS /
MACHINERY
OTHER
END SYSTEMS
TRANSACTION LEDGER
ADTA
SERVICES
6
P
R
O
V
E
N
A
N
C
E
C
O
N
T
E
X
T
Originators
Owners
Source
Names
Source
Types
Sensor
Types
Source
Grading
Interactors
Environment
Container
Source
Location
A RICH METADATA LAYER IS INTRODUCED TO ENABLE POLICIES
The IoT Metadata Specification provides over 50
fields based on a standardized taxonomy designed
for AI/ML programs to query the system via an API
as well as human operators using a Web interface
Metadata is generated through manual or automated
contextualizing of source information and linking to
data sources, when combined called a “feed”
METADATA FIELDS CAN BE APPLIED IN ACCESS CONTROL POLICIES &/OR DATA MONETIZATION
7
0
GUID Container Name Latitude/Longitude Sensor Type Sensor Version
Feed Name Location Category
Bounded Box
Coordinates
Source Type Update Frequency
Description Location Type
Polygon
Coordinates
Source Name Update Interval
Type Address Radius Originator(s) Provider-defined
Date Created Source City Radius Unit Owner(s) Provider-defined
Date Updated Source County Unit of Measure Environment Provider-defined
Date Last Updated Source City Schema Interactor(s) Provider-defined
Citation Source Country Format Type
Device
Manufacturer
Provider-defined
Legal Type Source Postal Code ISIC Code Device Make Provider-defined
Regulatory Type
Source
State/Territory
Grade Device Model Provider-defined
F
I
E
L
D
T
Y
P
E
S
F
I
E
L
D
T
Y
P
E
S
SECURE WEB-BASED POLICY CONFIGURATOR
 Attributes that policies can be
configured on include data
source geographies, generation
timeframes, end user industry
categories and many others
 Policies can be in-line/cascaded,
in-parallel or hierarchical for
maximum control flexibility
 Originator information can be
anonymized for all feeds or any
subset as required
 All policy features including
establishment and configuration
changes can be securely
accomplished ‘on the fly’ via both
API and Web interfaces
 Supports regulatory
environments such as GDPR,
ITAR &/or organization-specific
requirements
8
0
SCALABLE DATA ACCESS & ROUTING AUTHORITY FOR LARGE ORGANIZATIONS
9
0
AERIAL
PLATFORMS
COMMERCIAL
VEHICLES
CONSUMER
VEHICLES
AUGMENTED
REALITY
DISPLAYS
ROBOTIC
UNITS
TERBINE
TOWER NODE
TERBINE
TOWER NODE
TERBINE
TOWER NODE
TERBINE
TOWER NODE
TERBINE
TOWER NODE
TERBINE
MSO NODE
TERBINE
MSO NODE
TERBINE
MSO NODE
TERBINE
MASTER
CONTROL
5
G
I
N
T
E
R
C
H
A
N
G
E
W
I
T
H
M
A
C
H
I
N
E
S
As the Terbine platform becomes distributed via 5G edge colocation, the Policy Engine will scale with it,
enabling ad-hoc data trading alliances between various organizations and individual machines based on events
terbine.com
Live system front end https://www.terbine.io
10
THANK YOU
0

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Terbine DEP Policy Engine

  • 1. Terbine Data Exchange Platform (TDEP) Policy Engine Overview NON-CLASSIFIED INFORMATION
  • 2. MARKETPLACE SCALING ISSUES TEND TO GET SOLVED BY ESTABLISHING LARGE EXCHANGES PROBLEM 1 SOLUTION RESULT Commodities trading can’t scale when each broker has to set up individual contracts and trades with every other A centralized commodity exchange means that all brokerages only have to deal with one main authority Dramatic growth in the global commodities trading business and an overall trusted deal environment Aircraft become faster and more plentiful, making it impossible to leave control solely with onboard pilots The internationally agreed system for air traffic control and the use of English as the lingua franca of the sky Continued growth in global air travel, with no major incidents ever attributed to a failure of air traffic control Numerous banks needed to transact funds without negotiating transfer deals with every other global bank SWIFT is created to give all Tier One banks a single system to which they can subscribe & exchange funds More than 11,000 SWIFT member institutions send over $5 Trillion in financial transactions every day Consumers don’t have a means to send money digitally without exposing their personal information PayPal provides a trusted intermediary service where sellers & buyers can move funds seamlessly & safely With the consumer funds transaction issue solved, eBay grows rapidly to lead the online auction category Under the current schema by which IoT data is made available to third parties, each use-case requires a manually negotiated deal Both data providers & users subscribe to a common AI platform which standardizes business, legal & technical aspects of exchanging The rapid development & evolution of an ecosystem based around data coming from and going to machines, systems and people 0
  • 3. TERBINE IS THE FIRST COMMERCIALLY VIABLE EXCHANGE FOR MACHINE-GENERATED DATA 2 Trusted Data Exchange Data Ingestion Provenance Contextualization Source Grading Metadata Production Indexing Rich Search IoT Connectors Transaction Logging Policy Handling Rights Management Pricing & Billing Seller Payments Securitization Continuous Feeds Archiving Car & truck fleets, trains, autonomous land vehicles, manned and unmanned aircraft, ships, satellite, cell towers, buildings, billboards, light poles, roads, bridges, grids, pipelines, traffic control systems and other machine-generated data providers IOT DATA SOURCES Analytics software & systems, manned & autonomous vehicle fleet operators, charging networks, federal/state/county/municipal agencies, regulatory oversight bodies, financial services & insurance providers, and other ecosystem participants in many sectors IOT DATA USERS 2
  • 4. SHRINKING MONTHS TO MILLISECONDS TO MAKE DATA EXCHANGING VIABLE AND SCALABLE Existing methods for setting up IoT data sharing are time-consuming, archaic and involve individual negotiations between providers and users, all manual one-offs that take months to put into practice – these are entirely non-scalable 3 Companies and public sector agencies don’t need custom-negotiated agreements, they need to exchange data – Terbine was formed to remove friction and automate the processes that enable machine-generated data to flow in a controlled and trusted manner
  • 5. MOVING THE PROBLEM SET INTO THE NETWORK, WHERE IT BECOMES MANAGEABLE  Much like the large systems that operate the financial, logistics and digital media worlds, the Terbine Data Exchange Platform (TDEP) is the needed “network brain” that will enable rapid adoption and scaling. It starts by bringing data providers &/or users under a single legal umbrella aka the bilateral Terms Of Use  Instead of having to negotiate all terms and conditions of data conveyance up front and on a case-by-case basis, a sophisticated and highly adaptable Policy Engine handles the specific requirements of each data provider vis a vis how/where/when/to whom their data files or streams can be routed – this moves the problem into the network and thus makes it highly efficient, and real time  The Policy Engine can be controlled “on the fly” via both Web and programmatic interfaces (APIs) to give data providers unprecedented control over the distribution of their machine- generated data feeds – and makes monetization practical 4 0
  • 6. THE POLICY ENGINE IS TIGHTLY INTEGRATED WITH THE CORE DATA EXCHANGE PLATFORM 5 0 RETRIEVE DATA ADMIN & OPERATIONAL STORE EXTERNAL / OPEN DATA METADATA PERSISTENT STORE INGESTION API SENSOR DATA STORAGE RETRIEVAL API TRANSACTIONAL PERSISTENT STORAGE NOTIFICATION / AUDIT SERVICES METADATA SERVICES POLICY ENGINE DATA GRADING CHARGING/ PRICING ENGINE IDENTITY SERVICES SECURITY / PERMISSION LAYER SEARCH / DISCOVERY API CLIENT API SECURITY API ADMIN API INGESTION ADAPTER INGESTION ADAPTER INGESTION ADAPTER INGESTION ADAPTER STANDARD ADAPTER STANDARD ADAPTER CUSTOM ADAPTER CUSTOM ADAPTER IOT PLATFORM CLOUD DATABASE DATA LAKE SENSOR CLUSTER ANALYTICS PROGRAMS IOT PLATFORMS ROBOTICS / MACHINERY OTHER END SYSTEMS TRANSACTION LEDGER ADTA SERVICES
  • 7. 6 P R O V E N A N C E C O N T E X T Originators Owners Source Names Source Types Sensor Types Source Grading Interactors Environment Container Source Location A RICH METADATA LAYER IS INTRODUCED TO ENABLE POLICIES The IoT Metadata Specification provides over 50 fields based on a standardized taxonomy designed for AI/ML programs to query the system via an API as well as human operators using a Web interface Metadata is generated through manual or automated contextualizing of source information and linking to data sources, when combined called a “feed”
  • 8. METADATA FIELDS CAN BE APPLIED IN ACCESS CONTROL POLICIES &/OR DATA MONETIZATION 7 0 GUID Container Name Latitude/Longitude Sensor Type Sensor Version Feed Name Location Category Bounded Box Coordinates Source Type Update Frequency Description Location Type Polygon Coordinates Source Name Update Interval Type Address Radius Originator(s) Provider-defined Date Created Source City Radius Unit Owner(s) Provider-defined Date Updated Source County Unit of Measure Environment Provider-defined Date Last Updated Source City Schema Interactor(s) Provider-defined Citation Source Country Format Type Device Manufacturer Provider-defined Legal Type Source Postal Code ISIC Code Device Make Provider-defined Regulatory Type Source State/Territory Grade Device Model Provider-defined F I E L D T Y P E S F I E L D T Y P E S
  • 9. SECURE WEB-BASED POLICY CONFIGURATOR  Attributes that policies can be configured on include data source geographies, generation timeframes, end user industry categories and many others  Policies can be in-line/cascaded, in-parallel or hierarchical for maximum control flexibility  Originator information can be anonymized for all feeds or any subset as required  All policy features including establishment and configuration changes can be securely accomplished ‘on the fly’ via both API and Web interfaces  Supports regulatory environments such as GDPR, ITAR &/or organization-specific requirements 8 0
  • 10. SCALABLE DATA ACCESS & ROUTING AUTHORITY FOR LARGE ORGANIZATIONS 9 0 AERIAL PLATFORMS COMMERCIAL VEHICLES CONSUMER VEHICLES AUGMENTED REALITY DISPLAYS ROBOTIC UNITS TERBINE TOWER NODE TERBINE TOWER NODE TERBINE TOWER NODE TERBINE TOWER NODE TERBINE TOWER NODE TERBINE MSO NODE TERBINE MSO NODE TERBINE MSO NODE TERBINE MASTER CONTROL 5 G I N T E R C H A N G E W I T H M A C H I N E S As the Terbine platform becomes distributed via 5G edge colocation, the Policy Engine will scale with it, enabling ad-hoc data trading alliances between various organizations and individual machines based on events
  • 11. terbine.com Live system front end https://www.terbine.io 10 THANK YOU 0