solutions consultant · hospitals are using ai-enabled chat bots to assist individuals with...
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Harjot SidhuSolutions Consultant
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Created in the last two
years
90% of the
world’s data
Created each day Google searches every
second
2.5 Quintillion
bytes of Data 40,000
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What is data being used for today?
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Hospitals are using AI-enabled chat bots to assist individuals with non-life threatening concerns
Pittsburgh installed AI-enabled traffic lighting, reducing idling times by 40%
A Netherlands Agency leveraged Machine Learning to reduce the amount of false positives for detecting social assistance fraud, to focus time on uncovering real fraud
Lexus developed the first ever car commercial, written entirely be AI
Miso Robotics created the “Flippy” – a machine that can flip burgers to create the “perfect” taste
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What does data mean to the Public Sector?
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Welcome to Estonia
Ranking first in Tax Competitiveness, Entrepreneurial Activity, Startup Friendliness, and Digital Health
98% of people declare their income electronically
99% of prescriptions are handled online
X-Road: A centralized data sharing platform that connects business, citizens, and state entities
to securely share information
Saving 844 YEARS of working time
Automated paid parking via vehicle ignition data
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Agenda
Trends in the industry
Understanding the evolution of data and analytics
Tools available today
Successful usage of Analytics Technology
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What are we hearing from auditor professionals?
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Pressures being put on the department
Data Privacy IT Vulnerabi l i t ies G r o w t h P r e s s u r e s S h o r t e r P l a n n i n g
Source: https://www.pwc.ru/en/publications/assets/state-of-internal-audit-2018.pdf
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Meanwhile…Stakeholders expect
more
P r o v i d e
A s s u r a n c e
G i v e
A d v i c e
A n t i c i p a t e
R i s k
https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Audit/gx-internal-audit-3.0-the-future-of-internal-audit-is-now.pdf
4 8 % o f s t a k e h o l d e r s w a n t I A t o s e r v e a s t r u s t e d a d v i s o r s
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When addressing these challenges, what have we seen?
The appropriate tools The necessary skills
A little bit of curiosity
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Where we’ve seen the analytics journey begin
P-Card and Expense Transaction Management
“Ghost” Employee Records
Employee/Vendor Address Match
Changes to Active Directory
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Where we’ve seen the analytics journey evolve
Real Time KPI’s and KRI’s used for key decision making
Continuous control monitoring for high risk areas
Automated assurance activities (real time follow up)
Fraud and Performance Management
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It might seem like a tough mountain to climb
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So.. How have others adopted and progressed their analytics
program?
Establish Leaders who can take ownership of the program
Evaluate the needs of your department/agency/sector
Understand what metrics, or data points will be able to assist those
related needs
Leverage the appropriate technology (don’t nuke a 5 column table with
AI)
Establish a plan that has actionable milestones
Establish an external review team to evaluate the results
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Additional areas to consider
Who cares?
Is it realistic?
What about succession?
Why does this matter to me?
How often is this incorporated into my day?
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What do we do with the results of this data once it’s been analyzed?
Your results need to be seen
They can tell a story
They can drive action
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