mAdvisor is an AI & Cognitive Computing platform, which helps enterprises to translate data into meaningful insights and narratives without any manual intervention. Now enterprises can reduce the analytics timelines from weeks to minutes using mAdvisor. mAdvisor employs cognitive technologies like machine learning, machine reasoning, deep learning, natural language generation, natural language processing and expert rules systems, thereby enabling enterprises to identify revenue streams, enhance customer experience and productivity. Business Benefits: 1. Rapid time to insights 2. Monetize data assets and identify new revenue opportunities 3. Enhanced customer experience and agility to market dynamics 4. Reduced operational costs due to forecasting & optimization 5. Reduced Analytics TCO Platform Features: Scalable - Highly scalable platform to store and analyze all forms of data – structured, text, voice, image, and sensor data Accurate - Heightened accuracy due to ensemble approach and reduced manual intervention Algorithmic - Rich library of statistical, machine learning, and deep learning algorithms Deployment Options - Flexible deployment options – Both cloud and on-premise deployments available Extensive Cognitive Capabilities - Extensive cognitive capabilities – Machine learning, machine reasoning, NLP, NLG, speech analytics, and computer vision Data Connectors - Pre-built connectors for SAP HANA, SQL Server, Hadoop, Oracle, MySQL, and Salesforce Platform Applications: 1. Text Analytics 2. Speech Analytics 3. Computer Vision 4. IoT & Sensor Analytics 5. Narratives for BI 6. Automated Prediction 7. Automated Pattern Discovery To know more visit : https://www.marlabs.com/madvisor

1. © 2017, Marlabs - Confidential
Data Scientist in a Box

2. Marlabs…
Founded in 1996
Global Headquarters in
Piscataway, NJ
100+ clients across Healthcare,
BFSI, Retail etc.
CMMI Level 5 &
ISO 27001:2013
Operations in US,
Canada, Mexico, Europe
& India
2300+
Associates
Digital Labs to facilitate
customer Innovation
Services enhanced by IP &
Accelerators
Awarded “20 most
promising cloud
Companies”
Key Customers
Strategic Partnerships
2

3. Challenges in realizing digital possibilities
3
16 ZB 55%
The digital universe today contains
about 16 ZB of data but Enterprise
are able to analyze only 0.5% of their
data assets
Percentage of Time data analysts,
data scientists & business spent on
data analysis & pattern discovery
The average compensation of data
scientists ranges from $120,000 to
$ 300,000 in US
Est. Shortage of data scientists is
190,000. The demand in US is 60%
more than supply and average
>$ 120K 190,000

4. A typical data scientist’s day
4
Data Profiling Data Preparation Pattern Discovery Predictive Modeling Presentation
15%
30% 30%
10%
15%
Time spent on identifying & tagging
data required for analysis
Ensuring data is ready for analysis –
cleansing, transformation
Exploratory analysis to identify patterns
within data
Actual time spent on deploying
analytics use cases
Time spent on creating dashboards and
reports to present analysis outcomes
Source : Based on Marlabs Analytics
Consulting Engagements

5. What if you could achieve…
5
Reduction in time spent by data
scientists on data analysis and pattern
discovery
Reduction in time spent by
business users on data analysis
60%
40%
10X
Reduction in waiting time for data
analysis and pattern discovery results
Reduction in timelines to build and
deploy predictive models
3X
Statistically valid and error free
analysis due to automation
100%

6. 6
INTRODUCING
The AI & Cognitive Computing Platform from Marlabs
Data Scientist in a Box

7. Data Scientist in a Box - Overview
Data Scientist in a Box is an automated machine reasoning platform that translates data from enterprise systems
into meaningful insights & predictions in the form of narratives without any manual intervention.
mAdvisor using proprietary technology automatically
analyzes large amounts of data to identify patterns &
insights
01
By employing automated prediction framework, helps enterprises
in rapid deployment of scalable predictive & cognitive apps02
Serves as a one stop analysis solution to analyze all forms of
data – structured, text, sensor logs, click streams, speech and
images
03
Reduces dependency on analysts to conduct deep analysis and
prepare analysis briefs04

8. Applicability across Industries
8
Retail & CPG
Demand forecasting
Product
recommendation
Markdown
optimization
Campaign
management
Cart abandonment
analytics
Fraud detection
Banking & Securities Insurance Healthcare Manufacturing Telecom & Media
Card fraud detection
Credit risk analytics
Automated wealth
advisory
Social analytics for
stocks
Speech analytics
customer service
Claims analytics
Fraud prediction
Customer churn
management
Call center
optimization
Social media
analytics
Automated
benchmarking
Healthcare fraud
detection
Clinical records
analytics
Contract risk analytics
Clinical trials
optimization
Operations analytics
Physician Attrition
Market pricing and
planning
Pricing analytics
Demand Forecasting
Inventory optimization
Spend & transaction
analytics
Predictive asset
maintenance
Recommender
systems
Customer churn
prediction
Customer experience
analytics
Customer Lifetime
Value (CLV)
Network planning &
optimization

9. Data Scientist in a Box – Success Stories
9
$105
Million
mAdvisor helped a leading investment management firm to enhance the research
process using AI & NLP thereby improving annual returns close to $105
Million
Using mAdvisor, one of the world’s largest inflight catering firm was able to
reduce wastage by 15% due to accurate prediction of food consumption
15%
12%
mAdvisor helps a leading life sciences firm to increase opportunity
conversations by 12% using automated prediction .
mAdvisor helps a leading CPG firm to enhance customer sentiment score by
10% using the product’s NLP and influencer modelling capabilities 10%

10. Data Scientist in a Box – Platform Features
AUTOMATED PATTERN DISCOVERY
AI BASED NARRATIVES ENGINE
AUTOMATED MACHINE LEARNING
COGNITIVE & PREDICTIVE APPS
SCALABLE PLATFORM
REAL TIME ANALYSIS
PRE BUILT CONNECTORS
WEB CRAWLERS

11. Functional Architecture
11
Solutions
Apps
Platform Services
Data Lake Structured and Unstructured Data Storage
Financial Services TMT Utilities Healthcare & Life-Sciences
Automated Pattern Discovery NLP and Text Analytics Speech Analytics
Sales Analytics Marketing Analytics
Utilities
Feature Engineering
Train
Test
Score
Manage
Cognitive Services
Natural Language
Machine Learning
Deep Learning
Rules Engine
Classification | Segmentation | Prediction | Forecasting
Anomaly Detection | Association | Recommendation
Analytics Foundations Big data and analytics capabilities that fuel mAdvisor
Infrastructure Environment Microsoft Azure | AWS | On Premise
Customer Analytics
Foundations
Cognitive Fabric
APIs | Tools | Methodologies | SDKs
IOT and Streaming Analytics
Cyber Security AnalyticsInsights for BI
Retail/ CPG Others

12. Demo – mAdvisor in Action
12
Narratives for BI
The objective of this demo is
show the narrative capabilities of
mAdvisor and how “Narratives
for BI” application can be
seamless integrated with leading
data visualization platform to
generate insights
Automated Pattern Discovery
Automated Pattern Discovery
automatically analyzes data
identifies key patterns, cause
and effect relationships,
anomalies and finally presents
the insights in the form of
narratives.
Narratives for BI
The objective of this demo is
showcase the narrative
capabilities of mAdvisor and how
“Narratives for BI” application
can be seamless integrated with
leading data visualization
platform to generate insights
Automated Prediction
In this demo, we will be
showcasing how mAdvisor
automates the entire machine
learning process including
variable selection, feature
engineering, algorithm selection
and model validation.

13. THANK YOU
13
THANK YOU