Post on 22-May-2020
A Cognitive Computing Company
About Accure
Accure improves the well-being of cities, companies,
hospitals and infrastructure through ready-to-use AI tools
that puts super-computing problem-solving capability into
the hands of users.
Offices in 4 countries & partners in UK, Germany, UAE, KSA & Malaysia
Founded by Sam
and Raza
in 2011
Established in Virginia,
USA in 2015 To expand in GCC opened office in
Kuwait in 2018
To exploit ASEAN market
planning to open office in
Singapore in Q12019
Sam Ansari
Founder & CEO
Mogishuddin Raza
Founder & COO
• 4 US Patents
in big data
• 3 tech
startup
experience
• Oil & Gas,
Mining,
Healthcare
• 20+ years of
experience managing
global software
development team
(HP & EMC2)
• Data centre tech &
Aircraft
manufacturing
50+ data scientist and Software
Engineers
Momentum is homegrown AI platform and
entire source code and IP belongs to Accure
Ready to file for Global patents
Company Overview
Manufacturing Smart City
Geospatial Healthcare
Barry Shakespeare
Chairman of Board
• MBA with 35+
years of
experience in
global sales
and
marketing
Lester FirstenbergerGeneral Counsel,
Board Member
• LLM with 26+
years SME in
legal,
compliance,
banking, and data
technologies and
analysis
Patrick Barber SVP, Board Member
• MBA with 30+
years of
experience
business
development,
operations, sales,
and corporate
finance.
Sagar Aggarwal
VP -Sales
• MBA with
16+ years of
experience
in business
developmen
t, operations
and sales
Puneeta Verma
Engineering Head
• 20+ years of
experience in
project
delivery &
management.
• Expertise in
Data
architecture
Executive Management Team
Yakub Alqaoud
CEO MENA
• Degree in
Finance &
Management
from the
University of
Denver (USA)• Expertise in
Finance &
Banking
AI for Community
How do we make our manufacturing,
transportation, hospitals, companies, and
infrastructure smarter?
Artificial Intelligence is the answer
But.. How do we make AI easier and faster?
Introducing
An Autonomous AI Platform
What is Momentum
Momentum is a data science platform that puts supercomputing power in
the hands of users to rapidly deploy AI solutions.
Superfast ETL AI & NLP IoT Visualization
MOMENTUM Works With Any Data
Geo-Location
(Latitude /
Longitude)
Drones
Satellites
Mobile & Social
Media
Images
IoT SensorsDatabases
Assorted File
Types
Realtime images transmitted to Momentum AI
Momentum ’s Deep Insight
detects defects
Triggers actions and alerts
e.g. Separate defective products to different bins
Trigger machine shut off if a calibration issue detected
Electrical and environmental sensors data
Dashboards with KPIs
Momentum reference architecture for IIoT for Industry 4.0
Various Applications Data
Momentum Features to build AI Solutions
Structured
records
Momentum
ETL
Distributed
OCR
MINE
Parser, Rest Client,
DB Import
Direct
Protocol Data Lake
AI and ML
Application & Visualization
Images
Digitized
documents
Integration with
existing system
Integration with
3rd Party Application
UnStructured
records
Various Sensors
& IoT devices
DATA STORAGE
Built for Variety, Volume, Velocity, & Scale
PROCESSING OPTIMIZATION
Data is automatically optimized Scalable Cluster
DesignVISUALIZATION
Visualization does not crash as data size / volume increases
12
SERVICESTECHNOLOGY / PLATFORM
Data
Science
Virtual
or
On-site
suppor
t
Training
Actionable
Insight
End-to-End Support
What can you do with Momentum
Data Ingestion
Data Transformation
ML & AI
NLP
IoT
Data Pipeline
Visualization
Integration
Custom Analytics
From multiple data sources: RDBMS, NoSQL, Dropbox, S3 and more
SQL based interface to perform complex transformation over structured and
unstructured data at large scale
AI with automated feature engineering without a single line of code
Text mining and NLP with NER, sentiment, semantic and concept categorization
Highly scalable realtime stream analytics of data from IoT devices and sensors
Automate entire data flow from ingestion to AI to insight using drag-n-drop tools
An integrated visualization engine to see insights on web browser, also works
standalone with several data sources
A single interface to write extension in Java - does not require to learn complex
APIs
Processed data can be sent to several supported external databases to integrate
with other systems
Why Momentum
• Auto AI with Momentum does not require data science skill
• AI deployment to production in days and not in months/years
• Save on data wrangling time which is 80% of data science activity
• The most import tasks a data scientist does:
• Feature engineering
• algorithm selection
• hyperparameter tuning
Momentum does it all, automatically.
• Deploy on-premise or cloud
What we offer?
Momentum AI platform
AI Advisory
Use case
development
Best practice implementation
Data Science
AI model development
AI Deployment
On premise or cloud
deployment
Custom AI
app development
Why AI Advisory?
According to Gartner:
- by 2021 40% of new enterprise solutions will have some form of AI.
- Most of the AI initiatives will fail due to:
• Lack of leadership to drive AI initiatives
• Not picking the right problem to solve
• Lack of data science skill
• Non-existence of interoperable AI
Accure AI provides an ecosystem for companies to adopt and easily deploy AI solutions that
have high business values.
This ecosystem involving people, process and technology includes:
AI Advisory Board of
thought leaders and
influencers
Data scientists and AI
engineers
Momentum AI platform
and ready-to-deploy
models
Industry specific best
practices
Sample Use Cases
Momentum: Geospatial data processing
Objective: Analyze geospatial geometrical data vis-a-vis
to the device coordinate data and customer transactional data
for meaningful insights for targeted advertisements
Challenge:-
- Big data real-time processing challenges
- 140 Million Parcel data containing polygons of both commercial and residential addresses in
all 50 states of the US
- Customer data from one specific credit bureau (150+ Million customers)
- Data ingestion in the Big Data platform in terms of 2 Billion device coordinate data
Solution: A Big Data Platform is built to enables the real-time data ingestion from any data
source, Aggregates, Processes and then Visualizes data to gain meaningful insight.
Result: Geo-coding processing at 0.9 ms per record with 5 node cluster (50 GB RAM each)
(A sample use case of volume, scale and performance of Momentum)
MOMENTUM + Aviation
Saved Millions in Weeks by recommending more cost-effective parts asreplacement opportunity while adhering to ALL attributes – physical & mechanicalrequirements
Specs
Engineering
Requirements
A sample use case of solving complex problem in Momentum)
Airlines Maintenance
Challenge: Need to prioritize maintenance and replacement of parts (Data in different systems covering time, maintenance, staffing, fuel costs, etc.)
Solution: MOMENTUM aggregates data from different solutions that don’t speak to each other and visualizes data
Result: Insight that optimized cash flow for entire operation
1
Supply Chain / Distribution
Challenge: Consumer goods Manufacturer has 1800 distributors across India; needs better insight into real-time supply / distribution needs
Solution: Team connects 1800 endpoints with varying levels of internet connectivity and hardware; MOMENTUM Aggregates, Processes, Visualizes data
Result: Insight into real-timeinventory, stock levels, distribution
Healthcare
Challenge: Ensure rheumatology patients receive the right prescription without it conflicting with their health profile or other things they might be taking
Solution: MOMENTUM Aggregates, Processes using Cognitive Science, Machine Learning, NLP, and Visualizes data
Result: 10-15 hours saved per in-house authorization team member; improved care quality; reduced care cost
2 3
MOMENTUM Case Studies
Mobile Wallet
Challenge: Understand customer value; where to focus marketing efforts; supply chain; churn
Solution: MOMENTUM Aggregates data, Processes using Machine Learning and data science, and Visualizes data
Result: Insight into client value per transaction, by geography, as well as Life Time Value, payment processing success / failure; upsell / cross-sell with product recommendations; churn analysis
4
Smart Parking (IoT)
Challenge: 2000 parking spots with sensors; need to predict volume (resource / revenue planning) and identify the outlier for a possible revenue leakage and fraud
Solution: MOMENTUM aggregates stream-based real-time sensor data; Processes with Machine Learning, and Visualizes data
Result: Hourly parking prediction over aweek; Outlier detection showed carscoming in 15-16 times per day; parkersegmentation; Revenue Prediction;Optimized Employee Scheduling; Trafficrouting, challenging customers who wantsto do fraud
Call Center
Challenge: 700+ call centers across India; Operation insight for resource planning / allocation
Solution: MOMENTUM Aggregates 1.5M records per day, Processes using Machine Learning, call center operation analytics and Visualizes data
Result: Hourly call volume prediction over 30 days; Discovery of misuse of resources in off-peak hours; Saved on cost / resources; Insight per agent
5 6
MOMENTUM Case Studies
Sample Dashboard
Examples of Actionable Insight You Can Gain
Operations Analytics
Customer Churn / Retention Analysis
Customer Segmentation
Supply Chain Analytics
Categorization
Predictive Analytics
Prescriptive Analytics
Recommendation
Fraud Detection
Outlier Detection
Value-Added Partner
Limited Scope POC POC Goal Assessment
Exploratory Call
▪ Learn about client▪ Share what we offer▪ Understand client’s
needs▪ Outline limited scope
POC
▪ Work with real data▪ Production quality▪ Demonstrate Accure’s
capability to understand client’s need and deliver
▪ Score POC against client needs / goals
▪ Zero in on how Accure can best help client
▪ Define larger scope solution
▪ Larger scale deployment▪ Long Term and Trusted
Relationship
Data ScienceEngineeringExecution
Dedication to ClientAbility to Listen
Commitment to Client SuccessCapability to deliver at scaleWe demonstrate:
Our Process
Customers