5 Ways FSIs can Reduce Risks and Increase Rewards by Using HPC Solution to Gather and Process their Deep Wealth of Data

1. 5 Ways FSIs can Reduce Risks
and Increase Rewards by Using
HPC Solution to Gather and
Process their Deep Wealth of
Data.
PRESENTED BY TYRONE SYSTEMS

2. Traditionally, HPC tends to focus on solving a
small number of big problems, but in the case
of FSI, workloads are more likely to include a
vast number of small calculations.
For example, Monte Carlo simulations can be
used to enable banks to see all the possible
outcomes of their decisions and assess risk
accordingly.
Best Possible Decisions and
Assess Risk

3. Going beyond the capabilities of a regular
PC, HPC enables financial organisations to
get access to information faster, run
applications more efficiently, analyse data
more quickly, and streamline processes. HPC
could also aid banks in fraud protection, as
well as compliance with ever-changing
banking regulations.
Faster Information and
Fraud Protection

4. Incorporating AI into an HPC environment gives
organisations the capability to scale to
accommodate emerging workloads. Scalability
is the key to the integration of AI and HPC, and
the two technologies are set to become
increasingly intertwined.
Capability to Scale

5. In another advance in customer engagement,
FSIs are using intelligent systems to personalize
and optimize the marketing of products and
services. With AI, for example, FSIs can mine
transaction history, social media sentiments
and other data sources to anticipate a
particular customer’s needs and objectives
and to provide tailored recommendations for
products and services.
Customer Engagement

6. FSI are increasingly using AI systems to
accelerate credit risk assessment and make
better-informed decisions on the credit-
worthiness of loan applicants. With machine
learning and other technologies, risk models
can become more predictive, which suggests
that credit losses may fall by up to 10
percent.
Credit Risk Assessment

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