Ai-MicroCloud™ for Financial Services

Asset Managers, Wealth Managers, Lenders, Payments Processors, Investment Banks & Insurance Companies 

Overview: 

 

Zeblok Computational’s accelerated Ai-MicroCloud™ is particularly well suited to AI/ML development in financial services, providing everything your team needs to develop, train, deploy and manage AI applications, transforming AI projects into real-world business solutions. Zeblok’s Ai-MicroCloud™ is an enterprise-ready turnkey AI Platform-as-a-Service, including curated algorithms, accelerated data lake, seamless high-performance computing (HPC) orchestration and runtime environment, that helps data scientists and data engineers develop, customize, and deploy an AI project as an Ai-API™ quickly, generate new insights and enhance decision-making capabilities.

Zeblok can help you ingest and evaluate the value of data more efficiently, to integrate AI:

  • Within mission-critical processes

  • Into your proprietary research platform, financial modeling and valuation methodology

  • To make more informed decisions

  • To differentiate and personalize product offerings

Bring to life your most challenging data-driven strategies.   

How AI/ML Can Help Financial Services Companies:

There are multiple areas ripe for data-driven initiatives within the categories of revenue growth, cost reduction, operational improvement, risk management and compliance. 


Revenue Growth: 

Increasingly personalized service can have an impact on customer retention, enhancing top line growth. AI/ML models can help reduce customer churn, with product recommendations & personalization.

Cost Reduction:

Process improvement and automation can help decrease costs. AI/ML models help to get faster insights into data, helping anomaly detection and automation to reduce costs.

Risk Management:

Reducing risk from numerous sources is an ongoing challenge. AI/ML models can help to accurately point to issues related to anti-money laundering (AML),  and Know your customers (KYC). Purpose built models can provide transparency in credit risk & loss forecasting,  detect anomalous behavior and prevent cyber attacks.

 

Compliance:

The financial services industry regulatory landscape is very complex and everyone needs to abide by it. From Basel III for capital and liquidity to the Dodd Frank Act for derivatives, from FATCA for market integrity to DFA Volker Rule for trading, the list of regulations is every growing. AI/ML models can help financial institutions to identify those rules that apply to them and how best to structure compliance protocols.

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Ai-Rover™

 Full implementation of an Explainable AI algorithm on a virtualized notebook, in concert with Zeblok's GPU-powered Ai-Data Lake in our Ai-MicroCloud™ 

Use Cases

Overview

Ai-MicroCloud™ for Fintech

AI Data Workshop

The Journey from Data to Insights 

5 day, Hands-on Session