In This SlideShare, Dr. Sarit Bose you will learn the Intelligent Processes Propelled By Artificial intelligence. Decoding AI:- Deep Learning Productive Analysis Translation classification and clustering Information Extraction Speech to text text to speech Image recognition Machine Vision

1. Use and distribution limited solely to authorized personnel. (c) Copyright 2018
Lecture Series: AI is the New Electricity?
AILABS Academy
J-3, GP Block, Sector V, Salt Lake City,
Kolkata, West Bengal 700091
Intelligent Processes Propelled by AI
Presented at AILABS Academy,
Kolkata on April 18th 2018
Sarit Bose
Managing director - Protiviti

2. DECODING AI

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4. NEED FOR AUTOMATION
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A lot of processes are standardized and simple e.g. payroll process,
tax calculations, interest payments etc.
Most of the process steps are mundane and repetitive
Huge amount of effort is being spent to realize these processes and
most of it is manual
However the volume of work in most of these cases is very high and
it is a struggle to deal with this volume
Poor turn around time becomes a derivative of the volume of work
and manual effort
Manual processes are hugely error prone

5. WELCOME TO THE AGE OF DIGITAL WORK FORCE
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The next and perhaps final frontier of low cost labor: Robotic Process Automation
(RPA) is here today and here to stay. Today’s robots are far more than screen-
scraping click-trainers. RPA is advancing quickly as a platform delivered service and
being upgraded with cognitive capabilities that will change service delivery forever.
RPA is creating new opportunities and challenges for business and clients alike.

6. WHAT ARE THE BENEFITS OF RPA IN AN ORGANIZATION?
Higher Quality
Productivity
Increase
Cost Reduction
Ease of
Implementation
Human error
reduction to a
minimum
Faster processes
and availability
around the hour
Initial results
possible within 30
working days
Lower process
costs and easily
scalable
Complete audit trail
and aligned with
compliance
Employees can
focus on value-
adding activities
Rapid return on
investment
No significant IT-
support required
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8. THREE CLASSES OF RPA
Cognitive
Automation
Enhanced Process
Automation
Basic Process
Automation
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Rules
Engine
Screen
Swapping
Work
Flow+ +
Processing of
unstructured data
and base knowledge
Natural
Language
Processing
Big Data
Analytics
Artificial
Intelligence
Machine
Learning
Large Scale
Processing
Adaptive
Alteration
• Macro Based Applets
• Screen Scrapping Data Collection
• Built in knowledge repository
• Learning Capabilities
• Ability to work with unstructured
data
• Artificial Intelligence
• Natural recognition and
processing
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Cannot pass professional
judgment
Cannot take voice
instructions properly
WHAT TRADITIONAL RPA CANNOT DO TODAY
Cannot read hand written
documents properly
Cannot generate insights
Cannot adapt to changes
Cannot interpret
freeform text

10. INTELLIGENT AUTOMATION
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‘By 2019, the global market for content analytics, discovery and cognitive systems
software is projected to reach $9.2 billion’, according to IDC, ‘more than double
that of 2014.’
The range of applications could be from collecting
simple data to making contextual decisions to
guiding autonomous vehicles.
Intelligent automation is rapidly coming of age.
“Smart” machines and “smart” systems and “smart” bots are becoming
mainstream.
Intelligent automation which is a combination of Artificial Intelligence (AI) and
automation is mainstream now.

11. INTELLIGENT RPA
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RPA + Machine Learning
+ Analytics
+ Machine Vision
+ Natural Language
Processing
Cognitive and AI is going to play a major role in making RPA; intelligent

12. AGE OF INTELLIGENT PROCESSES
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Process and data discovery Mining & Machine Learning
Cognitive processes NLP and Machine Vision
Process insights Deep Learning and Predictive Analytics
Process actions Machine Learning
Optimized Cost Improve efficiency Challenge the status quo

13. TAKE A CLOSER LOOK
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https://democloud.celonis.com/login/form

14. WHAT IS THE REALITY
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15. GARTNER’S TOP 10 STRATEGIC TECHNOLOGY TRENDS
Gartner’s top ten technology trends cover three themes: Intelligent, Digital and Mesh
Machine Learning and AI
Intelligent Apps
Intelligent Things
Intelligent
Conversational Systems
Digital Technology Platforms
Mesh
Digital Twin
Blockchain and Distributed Ledger
Augmented and Virtual Reality
Digital
Mesh App and Service Architecture
Adaptive Security Architecture
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16. TECHNOLOGY CAN HELP
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17. BUT IT IS NOT EFFECTIVE ALONE
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18. Sarit Bose – Managing Director, Digital Transformation Services
saritbose@gmail.com