ai-financial-services

HyperSense AI
AI in Financial Services

As the financial service sector has undergone significant transformations with its complexity and fragmentation, financial institutions are under immense pressure to maintain their profitability and market position. AI enables them to cultivate more personalized relationships and deliver differentiated services based on customers’ evolving needs. It also helps to make more informed decisions about investment, risk management, and product development.

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Challenges to AI adoption in Financial Services

Limited data quantity and availability

Limited data quantity and availability

Immature and fragmented technology landscape

Immature and fragmented technology landscape

Lack of trust in machine learning

Lack of trust in ML

Lack of Data Talent

Lack of Data Talent

Challenges

Benefits of HyperSense AI for Financial Services

With HyperSense AI, they can cultivate more personalized relationships and deliver differentiated services that cater to their customer’s evolving needs.

Democratize AI
Democratize AI

Empowers business users to become Citizen Data Scientists without coding to solve complex business problems and make data scientists more productive.

Ensure Transparency
Ensure Transparency

Ensure transparency and better interpretability in decision-making and eliminate biases in prediction through ‘Explainable AI’ capabilities.

Risk Management
Improved Risk Management

Analyze vast amounts of data to identify potential risks, enabling them to make more informed decisions and better manage risks.

Ensure Compliance
Ensure Compliance

Empower regulators with automated compliance documentation, promotes transparency, and establish a clear understanding of the model’s design and operations.

Faster Deployment
Faster Deployment

Streamlines the deployment process, reducing the time and resources required to get ML models into production and derive value from investments more quickly.

Increased Efficiency
Increased Efficiency

Streamline many manual processes through automation, freeing up human resources and reducing the risks of human error, leading to increased efficiency and cost savings.

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What can
you do with
HyperSense AI?


Credit
Scoring

Analyze vast amounts of customer data to make more informed decisions about loan approvals and provide better-tailored credit products.


Fraud
Detection

Detect fraudulent transactions and activities in real-time, reducing financial losses for financial institutions.


Portfolio
Management

Analyze market trends, predict future performance, and make data-driven investment decisions.


Risk
Management

Identify and manage potential risks in real-time, allowing financial institutions to make more informed decisions about risk exposure.


Algorithmic
Trading

Analyze market trends to execute trades, reducing the time and effort required for manual trading and improving returns.


KYC
Compliance

Automate the process of identifying and verifying customer identities, reducing the time and effort required for manual compliance checks.


Credit Risk and
Loss Forecasting

Accurate credit risk and loss models critical for underwriting, pricing, etc., will enable more accurate capital, reserves, and loss forecasts.


Liquidity
Forecasting

Build customized forecasts to predict liquidity requirements, anticipate cash needs, and identify excess liquidity and investment options.

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