How has the regulatory changed over the years (pre-2018 vs. the status quo) door it comnare to where we are cu

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Publisher:WINSTON, Wayne L.
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1. RegTech - Re-defining compliance
a) How has the regulatory changed over the years (pre-2018 vs. the status quo)? (50 words)
b) What is the future of compliance and how does it compare to where we are currently? (50
words)
c) What is a regulatory sandbox. What is it's purpose? How is it used? (50 words)
d) Is the currently regulatory environment fair and equitable? Discuss the implications of any
asymmetries that may exist. (50 words)
e) Why should regulatory regimes be 'proportionate' and 'real-time'? What are the fundamental
building block? (50 words)
2. Reg Tech and Ai
a) What is the process for translating regulation and legislation into actionable objectives in
automated compliance systems?
b) What are the different tools in Al? Brief discuss each one and what it does.
c) Discuss reasons as to why some institutions remain on the sideline, as observers and skeptics,
in the digital revolution.
d) Comment on the role of Al in Regtech. What aspects of Al have been influential in Regtech's
transformation?
Kaplan Business School Assessment Outline
Page 1
へ 0
W
ch
DELL
Transcribed Image Text:1. RegTech - Re-defining compliance a) How has the regulatory changed over the years (pre-2018 vs. the status quo)? (50 words) b) What is the future of compliance and how does it compare to where we are currently? (50 words) c) What is a regulatory sandbox. What is it's purpose? How is it used? (50 words) d) Is the currently regulatory environment fair and equitable? Discuss the implications of any asymmetries that may exist. (50 words) e) Why should regulatory regimes be 'proportionate' and 'real-time'? What are the fundamental building block? (50 words) 2. Reg Tech and Ai a) What is the process for translating regulation and legislation into actionable objectives in automated compliance systems? b) What are the different tools in Al? Brief discuss each one and what it does. c) Discuss reasons as to why some institutions remain on the sideline, as observers and skeptics, in the digital revolution. d) Comment on the role of Al in Regtech. What aspects of Al have been influential in Regtech's transformation? Kaplan Business School Assessment Outline Page 1 へ 0 W ch DELL
Includes capturing of meta-data (data that describe the data) to help analysts
extract latent and nuanced insights.
data
Index
TimeStamp Day
Loదton
PaymentTyp IP Address
Terminal Loc
Sales
42370.0424 Friday
online
cash
164.138 28 21
230.43 7.31, 76.65 29.7
43
136 142 1757
235.16 48.03, 263.68 4191 5
320.81 2.12, 150 95 44 42
2.
42370.0431 Friday
online
cash
24
3.
42370.0438 Friday
online
EFTPOS
24.243 197.2o
204.19 10 39. 178 36 6 54
5.
233.15 30.78, 219.04 25 87 S
4.
store.
EFTPOS
30
42370.0452 Friday
online
EFTPOS
50
42370.0458 Friday
online
EFTPOS
180.249 178.Z
205.02 24.6, 86.07 28.5
5.
7.
42370.0465 Friday
online
cash
144 126 134. 16
234.8 31 12, 175.05 50 41
22
32.01 57.08, 185.08 57.37
139.71 21.39, 241.08 45.48S
4750
42373.3403 Monday
store
EFTPOS
23
4751
42373.341 Monday
EFTPOS
42373 3417 Monday
online
EFTPOS
95.129 144 10
259 15 5033, 10165 5 76
50
4752
4753
423733424 Monday
enline
EFTPOS
132 152 2510
5.76 56 47 335 98 42 59
5.
353.13 1037, 237.3 25.45
41.87 47.99 172.02 58
EFTPOS
11. 186 55.7
5.
online
online
4754
EFTPOS
31
4755
Meta data
b)
What information does it provide to help enhance business objectives?
c)
How can metadata be used to improve services and customer experiences?
d)
Evaluate the key differences between small data and big data analytics for Tibco Electric
Transcribed Image Text:Includes capturing of meta-data (data that describe the data) to help analysts extract latent and nuanced insights. data Index TimeStamp Day Loదton PaymentTyp IP Address Terminal Loc Sales 42370.0424 Friday online cash 164.138 28 21 230.43 7.31, 76.65 29.7 43 136 142 1757 235.16 48.03, 263.68 4191 5 320.81 2.12, 150 95 44 42 2. 42370.0431 Friday online cash 24 3. 42370.0438 Friday online EFTPOS 24.243 197.2o 204.19 10 39. 178 36 6 54 5. 233.15 30.78, 219.04 25 87 S 4. store. EFTPOS 30 42370.0452 Friday online EFTPOS 50 42370.0458 Friday online EFTPOS 180.249 178.Z 205.02 24.6, 86.07 28.5 5. 7. 42370.0465 Friday online cash 144 126 134. 16 234.8 31 12, 175.05 50 41 22 32.01 57.08, 185.08 57.37 139.71 21.39, 241.08 45.48S 4750 42373.3403 Monday store EFTPOS 23 4751 42373.341 Monday EFTPOS 42373 3417 Monday online EFTPOS 95.129 144 10 259 15 5033, 10165 5 76 50 4752 4753 423733424 Monday enline EFTPOS 132 152 2510 5.76 56 47 335 98 42 59 5. 353.13 1037, 237.3 25.45 41.87 47.99 172.02 58 EFTPOS 11. 186 55.7 5. online online 4754 EFTPOS 31 4755 Meta data b) What information does it provide to help enhance business objectives? c) How can metadata be used to improve services and customer experiences? d) Evaluate the key differences between small data and big data analytics for Tibco Electric
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