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Public 1
1
Vartul Mittal
Global Head - Intelligent Automation Solutions,
Sutherland
Oct 29, 2022
Mind The Gap
Mind The Gap: How to use Agile methodology to scale up your
Hyperautomation Journey from PoC to an Enterprise -Wide adoption
https://www.agilegurugram.com/
Public 2
Across Industries, Technology Spending has witnessed large
variations due to COVID-19
-30% -25% -20% -15% -10% -5% 0% 5% 10% 15%
Travel & Hospitality
Energy, oil & Gas
Automotive
Financial services
FMCG
Utilities
Retail
Manufacturing
Legal
Consumer
Media
Insurance
Education
Engineering
Telecommunication
Real estate
Tehnology
Healthcare
Food & Beverage
Government
Public 3
Economic recovery is expected to be pointed as supply and demand
effects work themselves out…
$
Lockdown:
Non essential industries forced to
shut. Other industries operate
under uncertainty
Demand side shock:
Revenue uncertainty bring on
Cash Flow Restrictions.
Business and Consumers defer
discretionary spend
Supply
Demand Supply
Demand
Supply side shock:
Previously limited production
cannot meet the growing demand
from consumers and businesses
$
Recovery takes hold:
Economic growth stabilizes as
supply and demand come into
better balance
Recovery will not follow previous pattern (Global Recession, or 9/11, etc.) as the forces behind this recession creates both supply side and demand
side shocks as we recover from social and commercial restrictions
In this downturn, businesses will need to find new
ways to increase efficiency, drive revenue and
meet customer needs.
Public 4
Focus on business
value to combat –
1. Cost Pressure
2. Revenue Pressure
Transformation led
by Integrated
process automation
Fast track Transformation
using Remote Assessment
and thereby cutting the
overall Automation
timeline
Scale deployment,
capabilities and
technology by focusing
on end to end use case
Manage the change
in Industry
expectations and
Demand types
Preparing for the Next Normal by driving digital Transformation at scale by a
mix of Automation and Analytics
The mix of RPA, AI, & Analytics is building digital defensibility for organizations. Achieving digital at scale can
give Organizations, the resilience required to speed their recovery from COVID-19 crisis
1 2 3 4 5
Technologies Techniques
• RPA
• Smart workflows
• OCR
• Machine Learning
• Natural Language Processing
• Smart analytics
+ =
• Agile and DevOps
• Design thinking
• Process mining
• Role-level assessment
Optimal Value
Public 5
Scientifically scale and accelerate using Agile led Low Code
Sensitivity: Internal & Restricted
6
What is agile led Enterprise Low-Code?
Forrester defines Low-Code as “products and/or cloud services for application development that employs
visual, declarative techniques instead of programming”
01 02 03 04
Visual
Development
Re-usability Data
integration
Application lifecycle
management
Main Features
Sensitivity: Internal & Restricted
7
Agile led Low-code development vs Traditional development
Low-code development Traditional development
Flexibility
Simple &
Feature
Packed
High Speed
Development
Cycle
Rapid
Prototyping
Reduction of
Failure rate
Reduction of
Bugs
01 05
02 03 04 06
Sensitivity: Internal & Restricted
8
How organizations benefit from Agile led Enterprise Low-Code
Platform-agnostic
Open a new
talent pool
Improve
productivity
and rapid
deployment
Customization
capabilities
Cost-effective
alternative to
custom
application
development
Public 9
Adoption of AI across industries
Public 10
Applying AI across Enterprise involves Agile led Low Code and
supporting technologies
Agile led Low
Code Predictive Analytics Models
Virtual Assistants and Conversational
User Experience
Process and Application Automation
Machine Learning
Computer Vision
Robotic Process
Automation
Leading AI Application Areas
Core AI Technologies Supporting Technologies
Data Science and
Analytics
Public 11
Investments in AI is a necessity
0% 10% 20% 30% 40% 50% 60% 70% 80%
Public Cloud Computing
Blockchain
Autonomous Things (Cars,…
Artificial Intelligence
Analytics
1st Choice 2nd Choise 3rd Choise
AI ranks as the 2nd biggest game-changer for organizations
Percentage of responders
• Customer experience is the primary source of derived business value for AI, the second is cost reduction
• The business value of AI for an organization is proportional to how thoroughly they reinvent the business in
light of AI capabilities
Public 12
Improving CX is fueling Investments in AI
Improving the customer experience (CX) and thereby customer satisfaction, loyalty and
advocacy is a leading candidate for investments in artificial intelligence (AI).
0% 20% 40% 60% 80% 100%
Increased speed to market
Higher profit margin
Lower cost of operations
Faster reaction to market
demand/feedback
Greater customer experience
Public 13
Intelligent Automation Overview
Public 14
How do you use Agile for scaling up IA deployment…
The answers lie in your processes…
Accelerate Agile
adoption acrossyour
business?
Optimize how robots,
systems and people
interact in aprocess
with Agile DevOps?
Empower your people
to drive change?
Continuously
discover waysto
improve your
operations?
Public 15
Agile led Intelligent Automation approach
My view is Agile led
Intelligent Automation
is key to deliver value
Across the enterprise in a scalable
platform Machine
First
Digital
Communication
• Virtual Assistant & chatbot
• Interactive
communication
Adaptive Orchestration
• Context aware case management
• API and Microservices interactions
• Process insight, actionable analytics
and monitoring
Intelligent decisioning
Self-learning models on
contextual data to improve
inflight interactions and
guided next-best-action
strategies
Robotic Automation
Low-touch last mile integration
with legacy systems. Repetitive
structured exception handling
Immersive Experience
Digital solution to deliver
omnichannel experience (Web,
Mobile, IoT, Alexa, Google Home)
Next Gen Content
Services
• Content Management
offering as a service
• AI enabled Cognitive
Automation – Ingest,
Classify, Extract, Infer
• Digital Onboarding &
eSignature
Human
Centric
Public 16
in/vartulmittal
@vratulmittal
16
Thank You
Vartul Mittal
Global Head - Intelligent
Automation Solutions,
Sutherland

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Agile Gurugram 2022 - Virtul Mittal | Mind The Gap: How to use Agile methodology to scale up your Hyperautomation Journey from PoC to an Enterprise-Wide adoption?

  • 1. Public 1 1 Vartul Mittal Global Head - Intelligent Automation Solutions, Sutherland Oct 29, 2022 Mind The Gap Mind The Gap: How to use Agile methodology to scale up your Hyperautomation Journey from PoC to an Enterprise -Wide adoption https://www.agilegurugram.com/
  • 2. Public 2 Across Industries, Technology Spending has witnessed large variations due to COVID-19 -30% -25% -20% -15% -10% -5% 0% 5% 10% 15% Travel & Hospitality Energy, oil & Gas Automotive Financial services FMCG Utilities Retail Manufacturing Legal Consumer Media Insurance Education Engineering Telecommunication Real estate Tehnology Healthcare Food & Beverage Government
  • 3. Public 3 Economic recovery is expected to be pointed as supply and demand effects work themselves out… $ Lockdown: Non essential industries forced to shut. Other industries operate under uncertainty Demand side shock: Revenue uncertainty bring on Cash Flow Restrictions. Business and Consumers defer discretionary spend Supply Demand Supply Demand Supply side shock: Previously limited production cannot meet the growing demand from consumers and businesses $ Recovery takes hold: Economic growth stabilizes as supply and demand come into better balance Recovery will not follow previous pattern (Global Recession, or 9/11, etc.) as the forces behind this recession creates both supply side and demand side shocks as we recover from social and commercial restrictions In this downturn, businesses will need to find new ways to increase efficiency, drive revenue and meet customer needs.
  • 4. Public 4 Focus on business value to combat – 1. Cost Pressure 2. Revenue Pressure Transformation led by Integrated process automation Fast track Transformation using Remote Assessment and thereby cutting the overall Automation timeline Scale deployment, capabilities and technology by focusing on end to end use case Manage the change in Industry expectations and Demand types Preparing for the Next Normal by driving digital Transformation at scale by a mix of Automation and Analytics The mix of RPA, AI, & Analytics is building digital defensibility for organizations. Achieving digital at scale can give Organizations, the resilience required to speed their recovery from COVID-19 crisis 1 2 3 4 5 Technologies Techniques • RPA • Smart workflows • OCR • Machine Learning • Natural Language Processing • Smart analytics + = • Agile and DevOps • Design thinking • Process mining • Role-level assessment Optimal Value
  • 5. Public 5 Scientifically scale and accelerate using Agile led Low Code
  • 6. Sensitivity: Internal & Restricted 6 What is agile led Enterprise Low-Code? Forrester defines Low-Code as “products and/or cloud services for application development that employs visual, declarative techniques instead of programming” 01 02 03 04 Visual Development Re-usability Data integration Application lifecycle management Main Features
  • 7. Sensitivity: Internal & Restricted 7 Agile led Low-code development vs Traditional development Low-code development Traditional development Flexibility Simple & Feature Packed High Speed Development Cycle Rapid Prototyping Reduction of Failure rate Reduction of Bugs 01 05 02 03 04 06
  • 8. Sensitivity: Internal & Restricted 8 How organizations benefit from Agile led Enterprise Low-Code Platform-agnostic Open a new talent pool Improve productivity and rapid deployment Customization capabilities Cost-effective alternative to custom application development
  • 9. Public 9 Adoption of AI across industries
  • 10. Public 10 Applying AI across Enterprise involves Agile led Low Code and supporting technologies Agile led Low Code Predictive Analytics Models Virtual Assistants and Conversational User Experience Process and Application Automation Machine Learning Computer Vision Robotic Process Automation Leading AI Application Areas Core AI Technologies Supporting Technologies Data Science and Analytics
  • 11. Public 11 Investments in AI is a necessity 0% 10% 20% 30% 40% 50% 60% 70% 80% Public Cloud Computing Blockchain Autonomous Things (Cars,… Artificial Intelligence Analytics 1st Choice 2nd Choise 3rd Choise AI ranks as the 2nd biggest game-changer for organizations Percentage of responders • Customer experience is the primary source of derived business value for AI, the second is cost reduction • The business value of AI for an organization is proportional to how thoroughly they reinvent the business in light of AI capabilities
  • 12. Public 12 Improving CX is fueling Investments in AI Improving the customer experience (CX) and thereby customer satisfaction, loyalty and advocacy is a leading candidate for investments in artificial intelligence (AI). 0% 20% 40% 60% 80% 100% Increased speed to market Higher profit margin Lower cost of operations Faster reaction to market demand/feedback Greater customer experience
  • 14. Public 14 How do you use Agile for scaling up IA deployment… The answers lie in your processes… Accelerate Agile adoption acrossyour business? Optimize how robots, systems and people interact in aprocess with Agile DevOps? Empower your people to drive change? Continuously discover waysto improve your operations?
  • 15. Public 15 Agile led Intelligent Automation approach My view is Agile led Intelligent Automation is key to deliver value Across the enterprise in a scalable platform Machine First Digital Communication • Virtual Assistant & chatbot • Interactive communication Adaptive Orchestration • Context aware case management • API and Microservices interactions • Process insight, actionable analytics and monitoring Intelligent decisioning Self-learning models on contextual data to improve inflight interactions and guided next-best-action strategies Robotic Automation Low-touch last mile integration with legacy systems. Repetitive structured exception handling Immersive Experience Digital solution to deliver omnichannel experience (Web, Mobile, IoT, Alexa, Google Home) Next Gen Content Services • Content Management offering as a service • AI enabled Cognitive Automation – Ingest, Classify, Extract, Infer • Digital Onboarding & eSignature Human Centric
  • 16. Public 16 in/vartulmittal @vratulmittal 16 Thank You Vartul Mittal Global Head - Intelligent Automation Solutions, Sutherland