Finance

Our world is in constant progress, especially in the digital field.

In Financial industry, Artificial Intelligence is one of the most drivers for success and innovation.

Artificial Intelligence in finance used for market research, predictive analytics and real-time decision making.

Nowadays, financial institutes have realized that Artificial Intelligence is key driver to have effective and competitive business with good financial innovative insights to deliver valuable solutions and products to consumers.

Artificial Intelligence making it easy for financial institutes to change and take decisions with less programming streamlines processes, lowers costs, and reduced risk.

Use Cases

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Fraud Detection

Banks and financial services must have an early discovery for fraudulent interactions or even before them take place.

Problem:

  • Fake Fraud Alert.
  • Difficulty in identifying customers and merchants’ behaviours.
  • Fraudulent Activity.

How our Platform Helps:

  • With Artificial Intelligence, it helps efficiently determine fraudulent transactions, while significantly reducing false positives.
  • With Artificial Intelligence and machine learning, it helps interpret behaviours of individuals, accounts, merchants, ..etc.
  • With supervised machine learning, the platform is trained on millions of fraudulent transactions to help identifying fraud and mitigating risks.
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Targeted Groups

Financial institutes are under pressure to transform from product-centric to customer-centric businesses.

Problem:

  • Market Segmentation.
  • Customers Acquisitions.

How our Platform Helps:

  • Data and Artificial Intelligence is making the transformation from product-centric to customer-centric.
  • Data and Artificial Intelligence is making the transformation from product-centric to customer-centric.
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Personalized Marketing

Promotions and marketing campaigns are targeted to customers according to their preferences and needs.

Problem:

  • Understanding Customers’ preferences, needs, and demands.
  • Enable precise personalization to have cutting-edge marketing attribution.

How our Platform Helps:

  • With supervised machine learning, the platform will help in understanding customers’ preferences, needs, and demand to create personalized experience.
  • With AI capabilities, the platform will study customers and transaction behaviours, which allows financial institutes to create and extract the best personalized marketing.

How our Platform Helps

  • Supports wide variety of decision components that aims to solve broad range of decision problems ranging from personalization to process optimization.
  • Apply advanced analytics and machine learning techniques to extract useful information to inform your business processes.
  • Extract insights and trends in many fields and use reinforcement learning to provide decisions that adapts to current situations.
  • Help shape policies and decisions that aligns with regulations and evolving programs.
  • Improve the results and optimize operational efficiency and reduce cost and risks with smarter decisions.
  • Provide more precision and calculated options that help decision makers take the right decision on the right time.