How to Focus on Your Core Strengths and Deliver Best Experience for Your Customers with CurrencyCloud

1. Focusing on your core strengths to
create best experience for your
customers
Anupam Mishra , Principal Solutions Architect, AWS
Ed Addario, CTO, Currency Cloud

2. Cloud is enabling transformation and innovation in the industry
As financial institutions better understand their ability to meet regulatory compliance obligations
when operating in the cloud, they are increasingly focused on leveraging the cloud to transform their
existing businesses and bring innovative new solutions to market.
Widespread
adoption today
Art of the
possible
Grid/high-
performance
computing
Agile data
analytics
Core systems
transformation
Blockchain
and DLT
AI/Machine
Learning
Digital
channels

3. AI and ML are the next edge in digital innovation
• Credit card/account fraud
detection
• Sales practices/ transaction
surveillance
• AML/Sanctions
• Investigations optimization
• Regulatory mapping
• Common financial
instrument taxonomy
• Contract ingestion and
analytics
• Financial information
extraction
• Corporate actions
• Loan/Insurance
underwriting
• Sales/ recommendations
of financial products
• Credit assessments
• Portfolio management/
robo-advising
• Algorithmic trading
• Sentiment/news analysis
• Image analysis
• Grid computing scheduling
• Enhanced customer
service through chatbots
• Call center optimization
• Personal financial
management
Compliance,
Surveillance, and
Fraud Detection
Pricing and
Product
Recommendation
Document
Processing
Trading
Customer
Experience
Core processing Client facing
Financial institutions are increasingly investing in AI/ML thanks, in part, to the availability
of cost-effective, easy-to-use, and scalable cloud-based AI/ML services.

4. Respond to
generational shifts
Shift customers to low-
cost channels
Support advisors and
agents
Capture more customer
interaction data
Track customer buying
signals
Improve customer
experience
How can digital channels on AWS transform engagement?
With a digital user engagement stack on AWS, financial institutions can leverage customer data
and overcome the hurdles to successful customer interactions across channels.

5. Automate workflow for the right actions, at the right time
• Respond faster:
• What’s important to users
• When it’s important
• Through the channel they
prefer
Capture interaction
and event data
Learn customer
characteristics and
preferences
With serverless technologies, events can lead to real-time triggers, allowing firms to deliver timely,
personalized offers and notifications — at the point of interaction.
Trigger workflows and
track real-time events
with AWS serverless
technology
AWS Lambda
IDENTIFY
SIGNALS
BUILD USER
PROFILES

6. The startup needed a highly
scalable online platform
with built-in security and
compliance for mobile
trading.
Over $20 billion has been
transacted through the app
since it launched, and
Robinhood has grown to over
4 million customers.
Robinhood used AWS to build
the app and supported
hundreds of thousands of users
at launch, with strong built-in
security and compliance
features.
Robinhood offers no-fee trading with an app built
on AWS
Mobile-only trading platform
“By using AWS, Robinhood has been able to build incredibly
sophisticated systems with a very small team… We can look at real-time
analytics and behaviors on our platform, that wouldn't be available at our
scale if we weren't using AWS.”
- Miles Wellesley, Head of Business Development, Robinhood

7. Focus on Core Strengths
Example: Data Architecture

8. Traditionally, Analytics Used to Look Like This
OLTP ERP CRM LOB
Data Warehouse
Business Intelligence Relational data
TBs-PBs scale
Schema defined prior to data load
Operational reporting and ad hoc
Large initial capex + $10K–$50K / TB / Year

23. Storage & Streams
Catalogue & Search
Entitlements
API & UI
Attributes of a Modern
Data Architecture
Key Pillars of a
Data Lake
Key Components of a Successful Data Strategy

25. Snowball
Snowmobile Kinesis
Data Firehose
Kinesis
Data Streams
S3
Most ways to bring data in
Unmatched durability and availability at EB scale
Best security, compliance, and audit capabilities
Run any analytics on the same data without movement
Scale storage and compute independently
Redshift
EMR
Athena Kinesis
Elasticsearch Service
Data Lakes on AWS
Kinesis
Video Streams
AI Services
The
pictu
re
can't
be
displ
ayed.

26. Building a Data Strategy on AWS
Kinesis Firehose
1
2
3
4
5
6
Athena
Query Service
7
8
Glue
Batch
9
10

27. Serverless Analytics
• Deliver cost-effective analytic solutions faster
S3
Data Lake
Glue
(ETL & Data
Catalog)
Athena QuickSight
Serverless;
zero infrastructure;
zero administration
Never pay for
idle resources
$
Availability and
fault tolerance
built in
Automatically
scales resources
with usage
AWS IoT
Devices Web Sensors Social

28. Typical First Use Cases for Financial Services
• Risk Calculations
using Grid
Computing
• Instead of 10 servers
running 6 hours, why
not have 60 servers run
for an hour
Digital channels
Automating customer
contact
Alexa / Echo
Internet banking
Data streaming
Device Farm
Greenfield digital banks
Software Development
Dramatically accelerate
the development cycle.
Scale up and down
resources
Big Data and AI/ML
Storing and analyzing
large data sets in the
cloud, using data lakes,
state of the art analytics,
AI and machine learning
technology
Backup, Archive,
Disaster Recovery
Durable, redundant,
encrypted, lockable.
Worm compliance records
management
Spin up redundant data
centers quickly
Open Banking and
FinTech integration
Build and scale secure
APIs quickly to enable an
ecosystem of FinTech
technology

29. What do successful FS customers have in
common
• Organization
• Vision
• Executive Sponsor
• Role
• Construct
• Talent
• Education
• Center of Excellence
• Culture
• Experimentation
• Fail Fast & Cheap
• Agile
• Mechanisms
• Technology
• Execution
• Think Big
• Start Small
• The Right Initiatives
• FinTech
• Risk, compliance and
security
• Automation
• Partners

30. Moving money
shouldn’t be hard

33. Regulations

34. Licenses
Regulations

35. Payment Rails
Licenses
Regulations

36. Payment Rails
3rd Party Providers
Licenses
Regulations

37. Payment Rails
3rd Party Providers
Partner
Banks
Licenses
Regulations

38. Payment Rails
3rd Party Providers
Partner
Banks
KYC
Licenses
Regulations

39. Payment Rails
3rd Party Providers
Partner
Banks
KYC
Data
Licenses
Regulations

40. Payment Rails
3rd Party Providers
Partner
Banks
KYC
Data
Reconciliation
& Reporting
Licenses
Regulations

42. AWS
Lambda
Amazon
RDS
Amazon
Redshift
Amazon
SNS
Amazon
EC2
Amazon
VPC
Amazon
S3
Amazon
Glacier
Amazon
Route 53
Elastic Load
Balancing
Amazon
CloudWatch
Amazon EC2
Systems Manager
AWS Trusted
Advisor
IAM AWS Certificate
Manager
AWS Glue
AWS Snowball

43. Machine
Learning?

44. Amazon SageMaker

45. https://developer.currencycloud.com
https://github.com/currencycloud