Social Media Analytics, Hyper-scale A.I. and Machine Learning Applications – Deployable to Extreme Edge Environments

1. MCAP Big Data Security Intelligence Platform
Social Media Analytics, Hyperscale A.I. and Machine Learning
Applications – Deployable to Extreme Edge Environments

2. According to IDC, “The availability of data, a new generation of technology, and a cultural
shift toward data-driven decision making, continue to drive demand for big data and analytics
technology and services”. The challenge is for organizations to collect massive amounts of
data and present information in a way that can be understood for quicker decision making
Nastec mLogica MCAP provides the following:
– Ultra-high performance, with the ability to scale to hundreds of Petabytes (PBs) of mixed raw
data with near/real-time query response times
– Ultra-high data load achieving upwards of 1.3 PBs of mixed data (Big Data) per day
– MCAP is available with an average storage of 3 – 6 PBs in multiple military standard Footlocker
configurations (22” x 22” x 40”)
– Multiple levels of data and systems security
– Hyper-scale Artificial Intelligence (AI) and Machine Learning Applications
 AI Security Platform
 Tactical Web Intelligence
 Social Intelligence
 Data Shaping A. I. Engine
 Unified Communication Monitoring Center (UCMC)
Industry Challenges

3. Industry Impact: As the amount of users connect to their networks through voice, text, and other
smartphone interactions, telecommunication companies have access to huge quantities of Big Data.
Yet relatively few of these companies have found and/or implemented Big Data architectures and
analytics technologies that even come close in meeting their requirements.
With the increasing rate of data generation and as the type of data being generated surpasses the
capability of existing data storage techniques, MCAP provides a platform that can archive and scale to
match these needs, and provide advanced analytics with human interaction response time across
mixed data types for timely information dissemination.
1) MCAP Enhanced Cyber Security to protect customers by proactively detecting fraudulent activities
by analyzing usage data, location-specific data and customer account data in real time to model
baseline “normal” behavior.
2) MCAP Intelligence Platform can make more accurate and relevant recommendations to
customers in real time by analyzing customer call logs, usage and customer satisfaction data
combined with social media data to understand customer preferences and behavior.
Rethinking the Telecommunications Landscape

4. As technology advances, trading speed is increasingly limited only by fundamental physics, and the
ultimate barrier — the speed of light. Through glass optical fibers, information travels at two-thirds of the
speed of light in a vacuum. To go faster, data must travel through the air. The industry is looking for an
even more efficient network of lasers —for in-flight signaling between airplanes. All will be obsoleted.
Industry Impact:
1) MCAP IoT Data availability and consumption becomes instantaneous. The installation of low-cost
sensors can identify when a machine is likely to break down allowing banks insight, thus reducing
their risk factor, so they can extend loans to small businesses
2) MCAP Artificial Intelligence based Advanced Analytics Platform enables a simple voice command
or swipe on a watch or mobile screen to bring up the data people want to see in order to make
smart financial decisions in near/real-time
3) MCAP Data Security provides AI and Machine Learning algorithms that can look for patterns in
how data in the cloud is accessed, and report anomalies that could predict security breaches
Rethinking the Financial Services Landscape

5. The world has developed an insatiable demand for real-time data movement and analytics for efficient
mass and/or targeted interception of different communication sources and channels to support law
enforcement and various government intelligence agencies. Current space-based telecommunications
are slow and expensive.
Industry Impact:
1) MCAP provides multi-layered information at the edge of data collection for accurate situational
awareness demands in near/real time through self-evolving and learning (A.I. and M. L.) predictive
models
2) Aggregates and cross correlates masses of critical data from disparate sources in near/real time
across the globe
3) Identifies targets from social media, web and dark sources through voice and visual Artificial
Intelligence
4) Provides an overall picture of potential target activities, and improving the success rate for mass
lawful interception
5) Recognizes potential threats and un-lawful activities by consolidating all data from multiple
sources on a global level in near/real time
Rethinking the Intelligence Landscape

6. Rethinking Big Data Analytics
Scalability – Data volumes will continue to grow especially considering that the number of handheld
devices and Internet-connected devices is growing exponentially.
 Larger, more efficient systems are required to handle massive amounts of Big Data
Speed of Light Big Data has to be fast and approachable
 Legacy systems do not provide near/real-time analytics; actionable intelligence must be
received in time
Machine Learning – Analytics need to improve.
 Making accurate predictions requires rapid and “automatic” generation of evolving
predictive models
Artificial Intelligence – Organizations require prescriptive analytics to find the best course of action for
a given situation
 Autonomous Agents including robots, autonomous vehicles, virtual personal
assistants, and smart advisers will accelerate the volume and velocity of data

7. Opportunity: Edge Data Gives Exponential Monitoring and Prediction
Potential
5 billion connected
people
1 billion connected
places
50 billion connected
things
PLACES
PEOPLE
THINGS
NE
Machine-generated Data Will Increase to 42 Percent Of All Data By 2020 – IDC

8. Who Is Involved?
Descriptive
What’s
Happening?
Diagnostic Prescriptive
Why did it
happen?
What’s next?
What should
we do?
PredictiveObservant
What
Happened?
A voice and visual Artificial Intelligence application suite for any user
MCAP Artificial Intelligence Platform

9.  Integrates the acquisition layer with a number of
passive and/or active acquisition probes
 Processes acquired traffic meta-data and content
 Collects and classifies acquired material
 Search, reproduce, manage, document, archive,
enrich and analyze acquired traffic from different
dimensions and perspectives
Unified Communication Monitoring Center (UCMC)
Covers the whole process from
acquisition to presentation for
law enforcement agencies’
intelligence purposes.
Consolidate existing solutions; providing an
overall picture of potential target activities,
and improving the success rate for mass
lawful interception.
Integrated Monitoring Solution

10. DATA AGGREGATION
RULES ENGINE TO FILTER DATA
DATA ENRICHMENT
DATA STORAGE
Context Interpreter
POI Targeting
Rule Builder Real-Time View Analytics Reports
Advantage: “Weaponizing Social Data and Artificial Intelligence”
Dark
Web
Situational
Awareness AppsCohort AnalysisListening Alerts
TransactionalLocationMobileTransportRelationshipProbe
NE
Internet of Things Social
A.I.
Monitor “Attack
Navy” & NOT
“Old Navy”

11. Exclusive Real-time Query-able Social Data Warehouse (Multi Year, Multi Petabyte)
USE CASES
 P.O.I. Monitoring
 Predictive modeling
 Behavior prediction
 Relationship analysis
 “Look-alike” profile querying
Find and monitor persons of interest in real-time
“Monitor
Derrick Harris”
A.I.

12. Massive Scale “Data Shaping” Engine
Use Cases
 Threat detection
 Cohort analysis
 Entity / relationships
 Behavioral profiling
 Historical and longitudinal
analysis
Find cyber and human threats early and often
“Show Relationships
of Derrick Harris”
A.I.

13. Amer Azizi (one of the
participants of the 9/11
terrorist event) file &
linked analysis
Al Qaida in the Maghreb
Review and Estimation Report
“Show Relationships
for Azizi Case”
A.I.
Auto-build dossiers and cohort analysis against disparate, unstructured data
Artificial Intelligence for Case Building and Live Investigations

14. A unique, remote, target-oriented sequence, which begins by creating a relevant
"target list" using social media, followed by managing a large number of online
virtual agents, and concludes with finding the target details and locations.
 Identify targets from social media, web and dark
sources
 Find social connections, groups and influencers
 Access targets with limited public information
 Remote extraction of technical target parameters
and locations
 Provides entity scoring, alert generation, smart
search, multi-level link-maps, time-line map; and
real-time reporting
MCAP Tactical Web Intelligence

15. .023
Machine Data Anomalies and Outliers Drive New
Safeguards
Cyber threats are constantly changing shape
“Show Me My Cyber
Threat Health Check”
A.I.

16. Anomalous activity can
trigger supervised analysis
Predictive model is deployed
and with guardrails to ensure
ongoing target accuracy fit
Target criteria is defined
and model is built against
historical data
Accurate Situational Awareness Demands Multi Layered
Information at the Edge of Data Collection
Making accurate predictions in production requires rapid and even
“automatic” generation of predictive models

17. From spreadsheet model to predictive application in 1 click
“Convert this to a
‘Look-Alike’ Model”
A.I.
Bringing Data Science Abilities to the Everyday User

18. 3 Differentiators for Multi-Petabyte
Scale Predictions in Production
1. Advanced data scientist and machine
learning operations collaboration
2. Advanced monitoring: accuracy,
performance, and output
3. Continuous deployment orchestration
MCAP Deploys Accurate
Artificial Intelligence from the
Lab to Production

19. Exabyte scale,
continuous deployment
of artificial intelligence
Gives unparalleled
prediction of compelling
events
MCAP Predictions and Artificial Intelligence
Ultra Scalable and Managed
Predictions and Artificial Intelligence run at peak accuracy

20. Data Source 1 >>>>> Data Source…n
SQLSQL
Footlocker
Configuration
(22 in. x 22 in. x 40 in.)
Scales to 6 PB
ManagedServices
Infrastructure
High Velocity Compute, Intelligent
Storage, and Network
Data Access Layer
Specialized Data Store
Big Data Middleware
MCAP Dashboard
Social
Listening
Tactical
Web
Intelligence
Massive Scale Data Explorer
Social A. I.
Real-TimeDataLoad
Artificial Intelligence Platform
SurveillanceDB
PerformanceManager
Unified Communications
Monitoring Center
Multiple
Configurations
(Scales to 100+ PBs)
MCAP Technology Stack
MCAP AWS
Secure Intelligence
Cloud
1-2 PB

21. MCAP Converged Infrastructure – Ultra-high performance and ultra-secure infrastructure for ingesting
massive amounts of Big Data (structured and un-structured) data. Available in Footlocker configurations
for space-constrained situations.
Integrated Monitoring Solution – Covers the whole process from acquisition to presentation for law
enforcement agencies’ intelligence purposes by improving the success rate for mass, lawful interception
Massive Scale Data Explorer – Provides data inventory and shaping for massive data discovery
integration
Social and Edge Predictive A. I. – Social network and real-time platform that allows users to search and
analyze, in real-time, endless web sources and social media content
MCAP Artificial Intelligence Platform – “Weaponizing Social Data” – Predictive Models with Machine
Learning (AI); a next generation BI solution for strategic and tactical predictions
Social Listening – Listening across all the top social platforms to listen and track content in real-time
through ML and A. I. Tools support enterprise levels of data and tracking online conversations to find
relevant information.
Voice Analytics – Machine transcription and speech analytics providing effective insights and analytics
of audio, enabled by highly accurate machine transcription
MCAP Social Intelligent Solution with
A. I. and ML – Components

22. THANK YOU