FinTech – Solutions

FinTech

Transforming banking with high-flexibility IT systems and data analytics

With the increasing complexity of risk management and regulations, the existing IT infrastructure and financial services are gradually unable to meet customers needs. GCP.expert helps traditional banking transform into bank 4.0.

Solution Features

Upgrade customer experience and better interaction

Upgrade customer experience and better interaction

Increase revenues from data insights

Increase revenues from data insights

Establish an AI risk management mechanism and abnormality detection through machine learning

Establish an AI risk management mechanism and abnormality detection through machine learning

Integrate modernized IT architecture with existing systems with low TCO and high flexibility

Integrate modernized IT architecture with existing systems with low TCO and high flexibility

GCP Products

GCE

GCE

Storage

Storage

Bigtable

Bigtable

BigQuery

BigQuery

Dataflow

Dataflow

Pub/Sub

Pub/Sub

Datalab

Datalab

Dialogflow

Dialogflow

ML Engine

ML Engine

AI platform

AI platform

Time Series Analysis Architecture

There are many applications for time series analysis in finance. A practicable analysis requires data from different sources, internal or external, streaming or batch sources. In Google Cloud Platform, there are whole theme park of modules to help build this time series analysis pipeline. Cloud Dataflow, a full managed, distributed and auto-scalable data processing platform, can process both streaming and batch data sources. Streaming data is ingested into Cloud Pub/Sub as a reliable buffer layer to handle potential burst traffic then processed by Cloud Dataflow individually. Data stored in RDBMS or Cloud Storage is pulled periodically and processed by Cloud Dataflow in batches. After data is filtered, patched, converted and aggregated by Cloud Dataflow, data is stored into BigQuery or BigTable for different further analysis scenarios. Then ML models are trained on AI Platform with processed time series data, or data scientists are allowed to user Cloud Datalab as internal UI to do experiments with this data as well.

GCP Whitepaper

The Google Cloud Adoption Framework

The Google Cloud Adoption Framework

The Google Cloud Adoption Framework helps you determine where you are on your cloud journey today and how to get to where you want to go.

Best Practices for DDoS Protection and Mitigation

Best Practices for DDoS Protection and Mitigation

This paper describes the best practices for protecting against and mitigating such DDoS attacks for your Google Cloud Platform (GCP) deployment.

Success Story

GCP Global Showcases: HSBC

GCP Global Showcases: HSBC

HSBC moved to GCP to build a more reliable and resilient service so they can better understand their customers’ needs and provide them with new banking features through GCP data analytics products.

GCP Global Showcases: PayPal

GCP Global Showcases: PayPal

PayPal partners with Google Cloud to increase security, build a faster network, and develop services for its customers.

Partnership

Apigee
FUCO & SOLUTION

Contact Us

If you need further information, please send a mail to gcp@ikala.tv or call +886-2-8768-1110 directly, thank you.

iKala “GCP.expert”, Google Cloud Premier Partner, provides AI-driven marketing technology solutions and Google Cloud infrastructure services. Our customers cover industries spanning gaming, e-commerce, media, ad tech, and finance. Headquartered in Taiwan and operating in Singapore, Hong Kong, Japan, Thailand and Vietnam.

聯絡我們

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