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Artificial Intelligence/
Machine Learning (AI/ML)
June 6, 2019
© 2019 Crowe LLP 4
Sensitivity: Confidential
44
© 2019 Crowe LLP 5
Sensitivity: Confidential
Why have a Data Science BU and CDSO?
“CDSOs (and their team of data scientists) are key to the skill set
needed to apply analytics to their business, explain how to use data to
create a competitive advantage and surpass competitors and
understand how to find true value from data by acting on it.”
- CMS Wire, September 12, 2016
© 2019 Crowe LLP 6
Sensitivity: Confidential
© 2019 Crowe LLP 7
Sensitivity: Confidential
What is AI/MLMachine Learning Build
Inputs Outputs
Program/Rules
“Map”
Data
Answer
(Results)
Machine Learning Use
Inputs Outputs
Program/Rules
“Map”
Data
Answer
(Results)
Software Engineering Build and Use
Inputs Outputs
Program/Rules
“Map”
Human knowledgeAnswer
(Results)
© 2019 Crowe LLP 8
Sensitivity: Confidential
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© 2019 Crowe LLP 9
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AI/ML ≠ Software Development
Data Scientist Software Engineer
Education Graduate Degrees in quantitative
fields, often multiple; PhDs
Undergraduate Degree
Tools Open Source languages and tools (R,
Python, C++, Docker, Kubernetes,
etc.)
SQL, Javascript, C/C#/Java, etc.
Hardware HPC Cluster, Unix-based OS.
• Rerouted power lines in Indy office
for ~$100k of hardware for ML work
Standard Laptops
End Product ML Model called through an API to
integrate into an application
Application
Driven By Data End-User Needs
© 2019 Crowe LLP 10
Sensitivity: Confidential
“Brains” to “Hands”…
“Brains”
• Human knowledge
• Intellectual property
• Artificial intelligence
“Hands”
• Humans
• Robotic process
automation (RPA)
• Custom application
developments
RPA
System based on rules
• Filling in web forms
• Copying data from one
form to another
• Easily create a way to
automate repetitive tasks
AI/ML
System based on data
• Learns from historical
actions
• Doesn’t need human
understanding of system
© 2019 Crowe LLP 11
Sensitivity: Confidential
AI/ML, Software Development, and RPA
Daily Data
Database
Ta
sks
Ta
sks
Ta
sks
Ta
sks
MLWeb
Interface
Prioritize Work List in
Client’s System
Key
Software
EngineeringAI/ML RPA
© 2019 Crowe LLP 12
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Risks
Tay was an artificial intelligence chatter bot that was
originally released by Microsoft Corporation via Twitter on
March 23, 2016; it caused subsequent controversy when the
bot began to post inflammatory and offensive tweets through
its Twitter account, forcing Microsoft to shut down the
service only 16 hours after its launch. – Wiki
A few headlines:
Microsoft is deleting its AI chatbot's incredibly racist tweets – Business Insider
Facebook and YouTube should have learned from Microsoft's racist chatbot – CNBC
Tay: Microsoft issues apology over racist chatbot fiasco – BBC
Racist, Sexist AI Could Be A Bigger Problem Than Lost Jobs – Forbes
Microsoft’s chatbot gone bad, Tay, makes MIT’s annual list of biggest technology fails – Geekwire
© 2019 Crowe LLP 13
Sensitivity: Confidential
© 2019 Crowe LLP 14
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What’s in it for you?
“If You Don’t Like Change, You’re Going to
Hate Extinction”
Potential for dramatic increases in profitability
and growth
Ability to better focus on strengths and value-
added activities for our clients
© 2019 Crowe LLP 15
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1515
Crowe Tax Journey
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The Need for Organization
• Funds focused on the biggest & best bets
• Tax Innovation Council & MP Votes
• Project Management Resources
• Feasibility/Opportunity Analysis
• Desired Launch Date
• Data – How Much; Where is it; Structure
• Complexity & Time Frame
• Return on Investment – Revenue/Efficiencies
• BU Strategic Initiative
© 2019 Crowe LLP 20
Sensitivity: Confidential
Operate to innovate
An emerging branch of technology enabling rapid business process automation through the use of disparate data sources, Robotic Software Agents, and Artificial Intelligence.
20
62% GrowthIntelligent automation initiatives will experience 62% growth in 2019 and beyond while focusing on: • Efficiency gains• Personalized insights• Automated processes
$14 billionmarket size (Markets and Markets)
Intelligent Automation to continue growth and estimated to be $14 billion by 2023:• Operational efficiency• Improved customer experience• Business process optimizations
Cross industriesOrganizations across all industries are implementing Intelligent Automation across all functions to increase revenue and improve efficiency –examples include:• Finance and Tax• Compliance• Operations
© 2019 Crowe LLP 21
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Operate to innovate
Intelligent Automation provides measurable benefits to employees, customers, and the bottom line.
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Soft benefits
Time SavingsProcesses that require several days of manual labor can be completed in minutes
Cost Savings
Tasks completed using pre-defined rules and artificial intelligence eliminate manual error
Reduce the cost of manual labor, human error, and slow processing
Higher Accuracy
Superior Customer Service
Improved Employee Satisfaction
Increased Strategic Activity
With robotics handling the volume of basic queries, staff can focus on resolving complex issues quickly
Employees welcome new technologies that lighten their workload and allow them to perform more valuable work
Free your resources up to do more strategic value-add activity that have real impact on your organization
Hard benefits
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The intelligent automation spectrum
22
New and Emerging
Technologies
5 Low Code Application PlatformsSolutions created through graphical user interfaces and configuration instead of programming
3 Data Analytics and VisualizationPatterns and visual representation from complex data sets
2 Robotic Process AutomationProcess Automation through the User Interface
1 Intelligent Character RecognitionMachine Learning enhanced character recognition
4 Predictive Analytics and Machine LearningPatterns and visual representation from complex data sets
Natural Processing LanguageAbility to understand, interpret human language
6
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Intelligent automation by industry and function
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Procurement
Compliance
Finance & IT
R & D
HRSales &
Marketing
TaxSupply chain
Spend Analytics
Contract Compliance
Leasing
Accts. Payable / Receivable
RevenueRecognition
Recruitment
Onboarding
Churn Analytics
Data Retrieval
RegulatorySubmissions
Fraud Analytics
Internal Audit
Customer Svc. Mgmt.
Product Recommend.
Logistics
Spend AnalyticsDemand Mgmt.
Sales & Use Tax
Property Tax
Tax Provision
Intelligent Automation
© 2019 Crowe LLP 24
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© 2017 Grant Thornton LLP | All rights reserved | U.S. member firm of Grant Thornton International Ltd
Intelligent automation service offerings
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Automation assessment and business case
• Assess and identify IA opportunities across the organization including complexity and feasibility analysis
• Determine return on investment and define value proposition
Technology Strategy andvendor selection
• Evolve / Establish portfolio management and solution prioritization framework
• Conduct vendor evaluations ranging from focused use-case-centric to enterprise-wide
IA as a service
• Operate and maintain existing IA solutions
• Provide support, maintenance, and break-fix monitoring
• Execute the full development lifecycle –design to implement
IA technology delivery
• Design, build, test and deploy solutions
• Integrate solutions with existing business processes and technologies
• Perform stability testing and transition to operations team
QA / Audit services
• Establish Controls frameworks for Risk and Internal Audit
• Intelligent Automation internal controls monitoring as-a-service
IA governance and change management
• Establish or evolve your Center of Excellence capabilities with leading practices
• Establish performance and change management framework for deployed solutions
© 2019 Crowe LLP 25
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Case studiesIntelligent automation in practice
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A large medical center had thousands of procedures relating to their ERP, EMR, Intranet and SharePoint Systems. Finding the correct procedure was challenging and extremely time consuming. Grant Thornton digitized thousands of documents into one Cognitive Computing platform that used Natural Language Processing and Machine Learning to simplify and expedite the correct procedural identification.
A manufacturing company had experienced significant growth through acquisitions that resulted in multiple disparate systems. Grant Thornton reviewed processes within the Procure to Pay, Order to Cash, Record to Report and Non-Transactional functional areas and identified initial opportunities to automate in 60% of the processes. The RPA implementation increased efficiency, standardized processes, and resulted in a three year ROI of approximately 200%.
A midsize financial institution was facing a reduction in revenue due to rising resource costs and increase in low cost competitors. The organization invested in BPM and OCR tools to automate their loan transaction processing. The automation allowed the organization to process over 50,000 transactions a day, lowering cost per transaction and rates for customers.