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AN D R E A C AS AT I
L e a d D a t a S c i e n t i s t
@ B u s i n e s s I n t e g r a t i o n P a r t n e r s
S o c i a l B u s i n e s s F o r u m
J u l y 7 t h 2 0 1 6
Robotic Process Automation
in Industry 4.0
WHO WE ARE
“It's a capital mistake to
theorize before one has data”
- Sherlock Holmes, A scandal in Bohemia
D ATA C ON SU LTA N TS
 30+ data passionates
 Engineers, informatics, mathematicians, statisticians
 Expert on Big Data and Advanced Analytics
K EY C OLLA B OR ATION S
WHAT WE DO
D ATA STR ATEGY A N D
A D VISORY
D ATA D EMA N D A N D
GOVER N A N C E
A D VA N C ED
A N A LYTIC S ON D ATA
Predictive
maintenance
Credit
analysis
Churn
prediction
Demand &supply
planning
Telco infrastructure
energy mgmt
Network drivers
for NPS
Network
investment
planning
Yield
prediction
Customer
engagement
on IPTV
Portfolio
optimisation
Sales
forecasting
Customer
analytics
ANALYTICS, THE CORE ENABLER OF INDUSTRY 4.0
1 2 3
Steam
Engine
1790’s
Mass
Production
1900’s
Automated
Production
1970’s
Cyber-Physical
Systems
2020’s
4
Data-driven
org. & decisions
Cyber-security &
fraud detection
Advanced
customer profiling
& interaction
Smart
sensors
Augmented reality
& wearables
Industrial IoT
platforms
Cloud
computing
Mobile
devices
Robotic Process
Automation
D ATA ,
ANALYTICS
& A I
Location detection
technologies
per year
until 2020
900+ $bn
Investment
450+ $bn
Revenues
400+ $bn
Cost saving
ROBOTIC PROCESS AUTOMATION (RPA)
"We’re augmenting the human experience with AI,
not taking away from or replicating it.“
- Salim Ismail (Singularity University)
Trained on
contextual data
S P E C I A L I Z E DRPA allows organizations to improve and
partially automate tasks through
A R ITIFIC IA L IN TELLIGEN C E
Functional trained hardware/software
ROBOTS are VIRTUAL WORKERS
learning from and executing on D ATA
Near real-time
availability
FA S T
Integrated and
governed by IT
G O V E R N E D
Error rate
reduction of 20+%
A C C U R AT E
24x7 full
availability
S E A M L E S S
5+x cheaper than
onshore labor
C H E A P
TECHNOLOGY IS THE ANSWER, BUT WHAT WAS THE
QUESTION?
11%
3%
4%
3%
47%
36%
28%
25%
16%
8%
3%
2%
IT
Sourcing/Procurement
F&A
Supply Chain/Logistics
Sales/Marketing
HR
REFM
Legal
Now
2020
Finance & Accounting
Facility Management
ICT & Operations
Human Resources
Sourcing & Procurement
Supply Chain & Logistics
Sales & Marketing
Legal
R PA A PPLIC ATION S
Customer service automation, Help desk automation
Inventory and supplier contracts management
Risk/Fraud analysis, Invoice processing, Billing mgmt
Demand forecasting, Stock level optimization
Real time marketing campaigns, Products recom.
Application tracking, On/Off boarding, Payroll mgmt
Scripting and desktop solutions, Predictive maintenance
Agenda, Document and knowledge-base management
R PA AWA R EN ESS & D EMA N D
PREDICTIVE MAINTENANCE | BIP RPA CASE ON TELCO
R ESU LTS
&BENEFITS
ANALYSIS effort and
time reduced
MAINTENANCE efficiency and
effectiveness incremented
QUALITY network service
availability increased
AN D R E A C AS AT I
P h o n e : + 3 9 3 4 2 8 0 7 3 5 3 5
E - m a i l : a n d r e a . c a s a t i @ m a i l - b i p . c o m
A F U T U R E M O R E
T H A N D I G I TA L . H U M A N .
Thank you!

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SBF2016 - ROBOTIC PROCESS AUTOMATION - CASATI

  • 1. AN D R E A C AS AT I L e a d D a t a S c i e n t i s t @ B u s i n e s s I n t e g r a t i o n P a r t n e r s S o c i a l B u s i n e s s F o r u m J u l y 7 t h 2 0 1 6 Robotic Process Automation in Industry 4.0
  • 2. WHO WE ARE “It's a capital mistake to theorize before one has data” - Sherlock Holmes, A scandal in Bohemia D ATA C ON SU LTA N TS  30+ data passionates  Engineers, informatics, mathematicians, statisticians  Expert on Big Data and Advanced Analytics K EY C OLLA B OR ATION S
  • 3. WHAT WE DO D ATA STR ATEGY A N D A D VISORY D ATA D EMA N D A N D GOVER N A N C E A D VA N C ED A N A LYTIC S ON D ATA Predictive maintenance Credit analysis Churn prediction Demand &supply planning Telco infrastructure energy mgmt Network drivers for NPS Network investment planning Yield prediction Customer engagement on IPTV Portfolio optimisation Sales forecasting Customer analytics
  • 4. ANALYTICS, THE CORE ENABLER OF INDUSTRY 4.0 1 2 3 Steam Engine 1790’s Mass Production 1900’s Automated Production 1970’s Cyber-Physical Systems 2020’s 4 Data-driven org. & decisions Cyber-security & fraud detection Advanced customer profiling & interaction Smart sensors Augmented reality & wearables Industrial IoT platforms Cloud computing Mobile devices Robotic Process Automation D ATA , ANALYTICS & A I Location detection technologies per year until 2020 900+ $bn Investment 450+ $bn Revenues 400+ $bn Cost saving
  • 5. ROBOTIC PROCESS AUTOMATION (RPA) "We’re augmenting the human experience with AI, not taking away from or replicating it.“ - Salim Ismail (Singularity University) Trained on contextual data S P E C I A L I Z E DRPA allows organizations to improve and partially automate tasks through A R ITIFIC IA L IN TELLIGEN C E Functional trained hardware/software ROBOTS are VIRTUAL WORKERS learning from and executing on D ATA Near real-time availability FA S T Integrated and governed by IT G O V E R N E D Error rate reduction of 20+% A C C U R AT E 24x7 full availability S E A M L E S S 5+x cheaper than onshore labor C H E A P
  • 6. TECHNOLOGY IS THE ANSWER, BUT WHAT WAS THE QUESTION? 11% 3% 4% 3% 47% 36% 28% 25% 16% 8% 3% 2% IT Sourcing/Procurement F&A Supply Chain/Logistics Sales/Marketing HR REFM Legal Now 2020 Finance & Accounting Facility Management ICT & Operations Human Resources Sourcing & Procurement Supply Chain & Logistics Sales & Marketing Legal R PA A PPLIC ATION S Customer service automation, Help desk automation Inventory and supplier contracts management Risk/Fraud analysis, Invoice processing, Billing mgmt Demand forecasting, Stock level optimization Real time marketing campaigns, Products recom. Application tracking, On/Off boarding, Payroll mgmt Scripting and desktop solutions, Predictive maintenance Agenda, Document and knowledge-base management R PA AWA R EN ESS & D EMA N D
  • 7. PREDICTIVE MAINTENANCE | BIP RPA CASE ON TELCO R ESU LTS &BENEFITS ANALYSIS effort and time reduced MAINTENANCE efficiency and effectiveness incremented QUALITY network service availability increased
  • 8. AN D R E A C AS AT I P h o n e : + 3 9 3 4 2 8 0 7 3 5 3 5 E - m a i l : a n d r e a . c a s a t i @ m a i l - b i p . c o m A F U T U R E M O R E T H A N D I G I TA L . H U M A N . Thank you!