Corporate Presentation: Service Portfolio of Tuhin AI Advisory · 2020. 8. 8. · 2. Azure SQL...

Service Portfolio

www.tuhin.ai I Mail: [email protected]

Thought Leadership

•Authored books & more than 30 publications in international journals &conferences

•Editor-in-Chief of International Journal of Business Analytics andIntelligence (IJBAI)

• Interview to DZone, USA – https://dzone.com/articles/coffee-with-a-data-scientist-tuhin

Tuhin Chattopadhyay, Ph.D.Founder & CEO, Tuhin AI Advisory

An ISO 27001:2013 Certified Company

International Experience

•20 years of experience in academia & industry – delivers analyticssolutions to organizations across USA, Europe, Australia, Africa & South-East Asia

•Keynote speaker at international conferences like Next Big Tech Asia 17in 2017 at Kuala Lumpur and Sports Analytics Africa in 2018 atJohannesburg

• Jury Member of data science competitions across Europe & USA

https://www.linkedin.com/in/tuhinai/

2

https://dzone.com/articles/coffee-with-a-data-scientist-tuhin

https://www.linkedin.com/in/tuhinai/


Senior Leadership

3

Kunal Kanti Mondol

Chief Technology Officer

Digital Transformation

Sujay Bhattacherjee

Advisor, Data Engineering

Enterprise Architecture,

Big Data Analytics,

Cloud Platform and Services

Chandan Mukherjee

Head, Business & Social Research

Economics & Finance

Professional

Sudhakar Nammi

Head, Automation

Robotic Process Automation,

Business Process Reengineering,

Intelligent Automation

Diptesh Saha

Head, Cybersecurity

Cybersecurity, ISO

Certification, Cloud,

Managed Services


Client Portfolio

4

Dr. Tuhin was able to combine academic rigour with pragmatic excellence and demonstrated stellar client skills. He developed a Marketing Mix

Model with an accuracy/ predictive performance of more than 90% after more than hundred iterations, and still managed to deliver it well

before the scheduled time.

Besides his thorough subject matter expertise in AI and Analytics, Dr. Tuhin is also adroit in making Data Science relatable to real world

environments. He has a vast repository of solutions which are highly effective and easy to deploy. I would highly recommend him for any

Industry 4.0 technology led industry agnostic digital interventions.

Harshvardhan Sharma

Head Auto Retail Practice at Nomura

Service Portfolio

www.tuhin.ai I Mail: [email protected] 5

Artificial

IntelligenceBlockchain

Business

Analytics

Business & Social

Research

CaaS – CTO/ CDO/

CAO/ CISO as a

Service

Cloud Computing Cybersecurity Data Engineering

Digital

Transformation

Intelligent

AutomationManaged Services

Management

Consultancy (IA)

Artificial Intelligence


Video Analytics & Surveillance

1. Vehicular Monitoring System

a. Traffic Monitoring

b. Automatic Number Plate Recognition

2. Automated Warehouse Operations

a. Automated Loading & Unloading

3. Workplace Safety

a. Human & PPE Detection

b. Human Pose Estimation & Analysis

c. Gait Analysis for Injury Prevention

4. Image based fashion recommender

Augmented Reality (AR)

Drone Image Identification & Classification

Smart Farming

Audio Mining

Natural Language Generation

Blockchain


InsurTech

• Distributed smart contract system to create a transparent, secure, immutable, and reliable ledger to document contracts, incidences, and records

Supply Chain

• Tracking Product Information - State of the product, shelf life, time, and location

Internet of Things - Machine-to-Machine (M2M) Transactions

• Immutable and transparent ledger of IoT devices, the data they collect, and the interactions between one another

Financial Services – Banking

• Money Transfer, Financial Settlement, Trade Finance

Travel

• Token assigned to each traveler allows TAs & airlines to identify customers and track their belongings simpler and faster

Automotive

• Preventing intentional undesirable Interference In vehicle data and enabling the tracking of parts of the supply-chain

Business Analytics – Horizontal


Marketing Mix Model

Marketing Budget Optimization

Price Elasticity & Optimization

Distribution Analytics

Sales Analytics

Lead Scoring

Marketing Analytics

Attribution Modelling

Recommendation Engine

Clickstream Clustering

Content Analysis

Web Analytics

Social Media Analytics

Digital Analytics

Credit Risk Modelling

Fraud Analytics

Merger & Acquisition Analytics

Collection & Recovery Analytics

Portfolio Stress Testing

Financial Crime Analytics

Financial Analytics

Demand Forecasting

Inventory Optimization

Replenishment Analytics

Network Planning & Optimization

Transportation Analytics

Warehouse Optimization

Supply Chain Analytics

Customer Segmentation

Propensity Modelling

Churn Prediction

Customer Lifetime Value

Sentiment Analysis

Customer Service Analytics

Customer Analytics

Business Analytics – Verticals


Assortment Planning

Merchandizing Mathematics

Planogram Optimization

Market Basket Analysis

Price & Promotion (PnP) Analytics

Loyalty Analytics

Retail Analytics

Disease Prediction

Predict ICU Mortality &

Inpatient Health

Risk Stratification

Health Monitoring

Digital Consultation

Hospital Performance Dashboard

Healthcare

Analytics

Claim & Renewal Analytics

Underwriting Analytics

Portfolio Growth & Profitability Analysis

Credit Risk Management

Customer Journey Optimization

Risk Prediction (EaR, VaR)

Actuarial &

Banking Analytics

Admission Analytics

Performance Analytics

Placement Analytics

Retention Analytics

Course Recommendation

Student Segmentation

Student Analytics

for Academia

Predictive Asset Maintenance

Parts Pricing Optimization

Predictive Quality Analytics

Process Risk Analytics

Operational Planning Optimization

Inventory & Distribution

Optimization

Manufacturing

Analytics

Business Analytics – Verticals (Contd.)


Voyage Operations

Container Space Optimization

Trade Lane Performance

Port Operations Analytics

Yard Capacity Optimization

End-to-end Pricing Strategy

Maritime Analytics

Valuation Prediction

Portfolio Optimization

Price Forecasting in Auctions

Generative Art

Collector Analytics

Gallery Analytics

Art Analytics

Connected Cars

Telematics

Subscription Analysis

Preowned Car Price Prediction

Showroom Space Optimization

Prescriptive Analytics for Manufacturing

Cost

Auto Analytics

Quality Prediction

Chemical Analysis

Wine Classification

Pricing Analytics

Brand Positioning

Cultivar Analysis

Wine Analytics

Team Selection

Player Pricing

Result Prediction

Performance Analytics

Live Video Analytics

Ticketing Analytics

Sports Analytics

Business Research


A. Conjoint AnalysisB. Choice ModellingC. Brand Equity & Positioning

A. Competition AnalysisB. Market PotentialC. Innovation & Technology

A. Strategy TestingB. Strategy MonitoringC. Strategy Implications

Marketing Research

A. Interest Rate PredictionB. Currency PredictionC. Risk AnalysisStrategy

Research

Market Research

Financial Research

Social Research & Advocacy


A. PovertyB. EducationC. Health

A. Export/ Import ResearchB. Economic PoliciesC. PPP

A. Requirement AnalysisB. Policy FormulationC. Policy Evaluation

Social Research

A. Digital/ AI-ML EmpowermentB. SME EmpowermentC. Buyer/ Seller Empowerment

Policy Research

International Trade

Empowerment

Vision• Emerge as a leading global think-tank and an advisor to Government and non-Government institutions

• As a change agent, improve the livelihood and sustainability of the small and marginalised segments by understanding the ground-level reality through research and advocate actionable insights

• Make this world a better place to live in through our research and intellectual inputs

CaaS – CTO/ CDO/ CAO/ CISO as a Service


Chief Analytics Officer as a Service (CAOaaS)

1.Tri-headed coalition with business & IT to generate business value for the company

2.Lead organization's data analytics strategy to determine how analysis gets done, tools/ resources used, outsourcing required

3.Deploy and scale AI/ analytics across the organization and improve business processes

4.Leverage analytics for capitalizing on the data for making sound decisions and achieving better outcomes for the business

5.Provide thought-leadership for raising the analytics quotient of prospects and customers

Chief Technology Officer as a Service (CTOaaS)

1.Develop strategies to increase revenue by RoI analysis to ensure technologies are used efficiently, profitably, securely

2.Envision how tech will be used while setting, evaluating & implementing the tech strategy to fuel tech infrastructure

3.Develop policies/ uses tech for products/ services that focus on customers, analyse target markets & create business models

4.Oversee company's data, security, network and take analytics powered preventive maintenance

5.Liaison b/n customer & business by getting a grasp on the target market and helping deliver IT projects to market

Hire Your Virtual C-Suite

CaaS – CTO/ CDO/ CAO/ CISO as a Service (Contd.)


Chief Data Officer as a Service (CDOaaS)

1.Visionary to monetize your existing data by devising data strategy to drive revenue

2.Use big data analytics to spot new business opportunities and enable data-based innovation

3.Creating a data-driven organization by embracing data culture

4.Strategize data governance

5.Reskilling employees to help them use data more effectively

Chief Digital Officer as a Service (CDOaaS)

1.Transformer in Chief: Lead the digital transformation in a company

2.Lead the company to take advantage of digital technologies for improvement

3.Make digital integral to the strategy

4.Aligning customer technology with the go-to-market strategy

5.Developing new digital business models

Chief Information Security Officer as a Service (CISOaaS)

1.Visionary to deploy proactive measures anticipating potential security threats

2.Real-time analysis of immediate threats, and triage to mitigate any exigency

3.Roll out security policies customized for departments and hierarchies

4.Governance for seamless implementation of the policies

5.Developing robust security architecture to combat both external threats and any internal sabotage

Cloud Computing


Benefits

Reduced costs

Flexibility

Scalability

Less backup plan

Data security

Large option range

Improved collaboration

Business model features

On-demand self service access to infrastructure, platforms and applications

Broad access through mobile phones, tablets, laptops and workstations

Resource pooling and automation to combine resources into managed services

Rapid elasticity that scales automatically and quickly with demand

Measured service with usage monitored, controlled and reported

Cloud Service Models


IaaS

PaaS

.

- delivers platforms for service and application development, test, and deployment. IT controls operating systems, applications, and some network configurations

- delivers platforms for service and application development, test, and deployment. IT controls operating systems, applications, and some network configurations

Infrastructure as a Service

Platform as a Service

Software as a Service - makes entire applications available to users. IT controls just a few application settings.

Decreasing level of controls over IT

• Combine services from two or more different cloud models

• Openly shared - owned & operated by a service provider

• Shared by a group of firms with similar needs

• Provider owns and operates the cloud

• On/ off-site

• Dedicated to a single firm

• Provider owns and/or operates the cloud

• On/ off-site Private clouds

Community clouds

Hybrid clouds

Public clouds

Ownership & Usage

SaaS

Cloud Strategy & Services


Re-hosting (Lift & Shift) • On-premise to cloud

Re-platforming• Move to platform of choices

Re-purchasing• CICD, Analytics, Database, etc.

Support Services

• 24/7 Infrastructure Monitoring & Management

• User Administration

• 24/7 Performance Monitoring & Enhancement

Refactoring

• Micro service, containerization, orchestration

Retaining

• Complex and sensitive services/applications

Retiring

• Less used functions might be retired

Consulting Services – Design• Architecture Design

• Security Policy & checks

• Hosting Services

Professional Services – Implementation, Integration & Migration


1.Creating Virtual Machine, Site-2-Site VPN

2. Azure SQL Backup Configuration

3. DR Setup Configuration

4. Office 365 Domain Verification and Configuration

✓Verify the domain

✓ DNS configuration

5. Active Directory Federation services

✓ Prepare the Base Servers

✓ Prepare Active Directory

✓ Clean up Active Directory

✓ Create the SSL Certificate Request (CSR)

✓ Complete the Certificate Request (CSR)

✓ Assign the Completed SSL Certificate

✓ Configure Local AD FS Federation Server

✓ Configure Federation Trust with Office 365/ any Application

6. Integration & Collaboration Services

7. Platform migration Services

8. O365 Migration, User Creation & Monitoring

9. System Migration & Cloud System Revamp

10. Database Migration

11. CRM Customization

12. SFB Configuration and Implementation

13. Integrating Dynamic CRM with Exchange, SFB, Outlook, and SharePoint

14. Azure VM Creation

15. Site-Site VPN

16. Point to Site VPN

17. Disaster Recovery Services

18. Backup Creation

19. Website Migration from any platform to Azure

20. Infrastructure to cloud serverless migration

Cybersecurity


•Fix assessment time windowPre-Assessment Preparation

•Information gathering about systems. addresses, namespace, Who is records Footprinting database etc,Footprinting

•Identification of Services and other entry points Port Scanning

•Operating System and Application Fingerprinting

•Service(s) version fingerprintingFinger Printing

•Vulnerability discovery, False +ve\ -ves Evaluation

•Determine and evaluate attack surface areaVulnerability Research & Analysis

•Research, develop & test exploits

•Define attack vectors and exploitExploitation

•Test acces and control privilege escalationPrivilege Escalation

•Gain access to trusted system/ networkPilfering

•Findings and remediation recommendation collation

•Prepare detailed technical reportDocumentation

•Archiving and debriefing the engagementDebriefing

Scope Validation

Network/ Asset

Discovery

Enumeration &

Vulnerability Mapping

Manual Verification

External VA -Remote, Restest & Attestation

a.Vulnerability Assessment & Penetration Testing

b.ISO 27001: 2013

c.PCI DSS - Payment Card Industry Data Security Standard

d.Security Code Review

e.IT General Controls Assessment

Assessment & Compliance Services

a.Incident Response and Management

b.Monitoring & Maintaining logs

c.Realtime Threat Management

d.Network Security Management

Security Operation Centre Services

a.Cybersecurity Strategy and Planning

b.Architecture and Design Review

i. Oversight and Workflow Creation

ii.Policy & Control

c.Process Optimisation

d.Oversight and Workflow Creation

Information Security Consultation


Data Engineering Framework

20

Batch Processing

Stream Processing

Persistent Layer

Catalogue and Organize

Machine Learning

Trend Analysis

Deep Dive Reports

Storage Processing

Data Integration Data ScienceData Engineering

Meta Data

No-SQL Document

Meta Information

DataStore

Feature Engineering

Exploratory Analysis

Quality Checks


Big Data Evolution to Lakehouse

21


Data Architecture

22

Datalake

Data Processing

Interactive Dashboards

Data Sources

Business Datamart

DL

-NL

P E

ng

ine

Analytics Data

Store

Commerce

Customer

Product

External


Data Platform Architecture

23

Source Systems

Adapter Layer

Data Lake

Data Processing Layer

Feature Engineered Data

Data Access

Financial DataMart

Interactive Dashboards

Raw Data

Data BaseReal Time Stream

Flat Files

DataFlow

Rest api

Meta

Data

Data Security, Privacy andGovernance

APIs

Interactive Query

Adapter Adapter Adapter

Data Transformer

Data Processing

Feature Engineering

Digital Transformation


Process Transformation

Business Model Transformation

Domain Transformation

Cultural / Organizational Transformation

Short-term business value

Long-term digital transformation

Capture

Capture information, in

physical and digital media, for

business processing

Digitize

Capability to digitize physical

media

Intelligence

Ability of technology to

replicate human judgement

Automation

Ability to replace human interaction in low-value tasks

Integration

Achieve flexible and rapid system integration capability

Data

Access, clean, manage and store

business data

Analytics

Advanced analytics

capability to drive optimization and

uncover opportunities

Self improvement

The ability to drive self-improvement in

processing models to further decrease human

interaction over time

Technology enablers

Digital Transformation Infrastructure


• User data capture

• Dash boarding / Visualization / Reporting

• Reporting

Web based

• User data capture

• Dash boarding / Visualization / Reporting

• Reporting

Mobile/Tab

• Automatic upload documents and information from physical copy

• Complex computingBatch process

• Integration between several technical components for data and computing

Middleware

• On-premise server hosting for applications

• Web hosting, API hosting

• Middleware hosting

Traditional infrastructure

• Hosting moved to cloud

• Licensing of software, operating systems and other related technologies can be managed separately

Cloud based infrastructure

• Use cloud’s server less model for pay-per-use payment.

• Minimal investment in the beginning as cost is proportional to usage

Cloud Server less model

Digital Transformation Technologies


Front end

• Web -

• Angular 10 – Major front-end technology

• React

• Bootstrap 4

• HTML 5

• LESS and CSS3

• Mobile

• Ionic 5 – Framework for mobile

• Bootstrap 4 – For styling

• Angular 9

• Capacitor/Cordova – For accessing device features

• React native

• LESS and CSS3

Back end

• Amazon EC2 server – Deployment server for Web client

• Rest API exposed via AWS API Gateway – Front end connects with backend

• AWS Lambda – Business logic implementation layer

• Node JS/Python – For implementing business logic in AWS Lambda

• Java, spring, ORM (Hibernate)

• Laravel

Storage

• MongoDB – For storing metadata and resources

• AWS S3 – For file storage

• MySQL, SQL server, Oracle

Third party integration

• Messaging service

• Email Service

• Payment Gateway

• AWS IAM – User and session management

• AWS CloudWatch – For logs and audits

• AWS Cloudflare – For static content delivery

• AWS Elemental – For video, chat and any other media service

Intelligent Automation: Automation Bots & Chat Bots


Intelligent Automation

Natural Language Generation

Artificial Intelligence

Robotic Process

Automation

ENTE

RP

RIS

E A

CTI

VIT

IES

TACTICAL ACTIVITIES

Strategy Development

RPA Tool Procurement

Change Management Plan

Staffing & Training

Understand Need

&Define

Objectives

Prioritize Projects based on Complexity

& ROI

Transformation {Lean Six Sigma

& Design Thinking}

Use Appropriate RPA Tool

&Mobilize

Deployment

Project Delivery

Automation Process


Business analyst in discussion with the process owners & SME creates a document which has• SIPOC• IT Environment• Applications used

Discovery

Lean Six Sigma Expert understands the process & conducts a value stream mapping exercise to identify & eliminate waster

Lean Six Sigma

Solution Architect redesigns the process by discovering latent sources of value for key process stakeholders and enables fast, iterative testing of intermediate solutions

Design Thinking

Redesigned process is evaluated for Cost , benefits are calculatedWe create a ROI report and share that with the clientPost approval this moves to deployment

ROI

Project is broken down into SPRINT’s with each sprint delivering MVPProject is tracked to closure & realized ROI reported

AGILE Scrum

A high-level approach of scoping processes at organizational level for Automation journey with the help of industry heat maps, Organizational charts, understanding of business units with automatable processes. Projects are prioritized based

on business needs & overall strategy

Automation Management

Assessment Transformation Re Design ROI Report Deployment

Intelligent Automation Applications


Data Entry

Personnel Administration

Payroll

Joiners, Movers, Leavers

Time & attendance Management

Benefits Administration

Compliance and Reporting

Recruitment (back office)

HR Services

Order to Cash

Procure to Pay (AP)

Record to Report

Vendor Management

Collections

Incentive Claims

Sales Order

Finance & Accounting

Supply Chain

Inventory management

Demand and supply planning

Invoice and contract management

Work order management

Freight management

Returns processing

Server and app monitoring

Software deployment

Routine maintenance & monitoring

Email processing and distribution

Batch Processing

Password reset/unlock

Back up & restoration

IT Services

Other areas for automation

Automation opportunities are practically ubiquitous in any

organization. Besides typical horizontal services, there are

other organizational activities that can fall easily under

the scope of any automation strategy

HR Services

Due to the huge amount of repetitive, often manual,

administrative tasks, under the shape of form fillings, data

capturing, updating and disseminating and large number

of request processing, HR is a gold mine of opportunities

for automation

Supply Chain

Supply chain problems cost companies between 9-20% of

their value over a period of 6 months. Below processes

are typically prone to automation and represent typical

area of improvement in any supply chain operations.

IT services

With an estimated 30% of time spent on low level tasks, IT is

compelled to embrace automation as a way to focus on the initiatives

that require innovative thinking and be able to tackle with the critical

organizational tasks currently consuming much of their time.

Finance & Accounting

F&A is another area where

automation can have

significant positive impact

on cost savings, improved

efficiency and streamline

processes, when applied

Managed Services – Datacentre


Objective

▪ To manage and monitor data center infrastructure elements

▪ Includes server, storage, OS, network, database, backup and other DC operations

▪ Use automation tools to deliver efficient services

▪ Ensure continuous delivery without disruption.

Scope

▪ Data center management

▪ Server management

▪ Platforms support

▪ Database management

▪ Backup and restore management

▪ Network management

▪ Physical and logical security management

▪ Process compliance

Business Value

▪ Continuous delivery with improved business SLAs

▪ Higher customer satisfaction

▪ Predictable IT operations cost

▪ Agility and robustness for continuous delivery

▪ Flexible support and pricing model - 9x5, 9x9, 24x7 etc.

▪ End to end SLA management

▪ Productivity improvement year-on-year - with automation and left shift

Endpoint Computing Support

Server Solution, Management &

Monitoring

Storage Solution, Management &

Monitoring

Virtualization Solution,

Management & Monitoring

Domain Controller solution,


Data Backup & Recovery Solution,


End user & Server Endpoint solution,


Cloud Solutions – O 365 & Microsoft Azure Solution, Management &

Monitoring

Database Management

Wireless On-prem & Cloud Solutions, Management &

Monitoring

Enterprise Mobility Solution – BYOD &

MDM

Network Solution, Management &

Monitoring

Network Security Solution,


Portfolio of Datacentre Services


Performance Monitoring & Optimization

System Administration & Troubleshooting

Install, Update, Upgrade & Patching

O/S Hardening & Policy Enforcement

Backup Recovery & Job Scheduling

Virtualization Consolidation Migration

Server

Management

Performance Monitoring & Optimization

Administration & Troubleshooting


Policy Enforcement & Security Hardening

Configuration & Backup Management

Planning & Design

Network

Management

Performance Optimization & Capacity Planning



Security & Hardening

Configuration Management & Synchronization

Virtualization Consolidation Migration

Storage

Management

Performance Monitoring & Reporting

Availability Management & Troubleshooting


User Provisioning & Access Management

Backup Recovery & Job Scheduling

Platform Standardization

Application

Management

Performance Monitoring & Fine Tuning



Access & Security Management

Backup, Restore, Archival & Job Scheduling

Virtualization Consolidation & Migration

Database

Management

Service Level Management

IT Service Management

Management Consultancy – Intelligence Amplification (IA)


Input Data

• Output of Phase 1

Recommendation Engine

• NLP Content-Based

• Validation from case database and stalwarts

Precise Prescription

• Strategic

• Operating

• Probability of Success

Strategy Development

Phase 2: Predictive & Prescriptive Analytics

Phase 1: Diagnostic & Descriptive Analytics

Input Data

• Internal: Finance/ Production/ Customer/ Market/ Techno

• Social Media/ News

• Macroeconomic

Diagnostic Engine

• Intelligent Automation

Dashboard & Report

• Root Causes

• Impact of Factors

The Process


Business Problem Identification

Use-Case & Relevant Data01Commencement of the Project

On acceptance of the proposal03

Proposal Submission

Solution with technical & commercial details02Realize the Benefits

04 ROI 5X-10X

Why Tuhin AI Advisory


Multiple Advanced Algorithms

Multiple algorithms applied to solve each business problem to gain a

holistic perspective

Robust Framework

Multiple approaches to assess a problem driven by research

questions from different perspective

Real Time Solution

Automated models will keep generating real time solutions

ROI Driven

At least 5X-10X; Think Big & Start Small,

Unmatched value

Thanks

Date post:	10-Oct-2020
Category:	Documents
Upload:	others
View:	0 times
Download:	0 times

Corporate Presentation: Service Portfolio of Tuhin AI Advisory · 2020. 8. 8. · 2. Azure SQL...

Documents