Use Cases by Industry

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Comprehensive, safe and seamless operations designed for efficient operations that cover all three dimensions: storage, network infrastructure & information security

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security icon

Comprehensive, safe and seamless operations designed for efficient operations that cover all three dimensions: storage, network infrastructure & information security

Learn More
Submit Red Arrow Icon
Manufacturing
Banking
Insurance

Production Process Optimization

Challenge

Complex variables such as machine efficiency, material waste, quality rejects and fluctuating demand make it very difficult to optimize production. Traditional methods of managing these processes result in inefficiencies, underutilized resources, and higher operational costs.

Solution

Our Unify AI platform allows to ingest vast amounts of data from the production floor. The inbuilt EDA function helps in analyzing the data and identifying patterns and inefficiencies. AI can suggest real-time adjustments to machine settings, workflows, and resource allocation. This ensures that the production process is continuously optimized for maximum efficiency and minimal waste.

Benefits

Technical benefit - Our Unify AI platform has all the required components such as data ingestion tool kit, EDA automation tool, Feature engineering process, the automated AI studio for model building, the deployment workflows, etc all integrated in a single framework. Further you also have the Gen AI studio which can help the relevant personnel with corrective recommendations. This reduces the technical learning curves and support functions and helps to go from concept to production rapidly.

Business benefit - AI-driven process optimization leads to reduced production costs, higher output, and improved product quality. Manufacturers can also achieve better resource utilization, lowering energy consumption and material waste. Overall, AI enables smarter, data-driven decisions that result in a more streamlined and cost-effective production process.

Anti-Money Laundering (AML)

Challenge

Challenges with AML arising from fragmented data sources, making it difficult to detect suspicious activities. Existing detection methods being inefficient, causing compliance with reporting and documentation requirements to be cumbersome.

Solution

UnifyAI platform enables integration and unification of customer data from various sources to create a single, comprehensive view of data and models. Predicting and assigning risk scores to transactions and customers, while prioritizing investigations - thus improving overall AML efforts.

Benefits

Technical Benefits: UnifyAI AIStudio's machine learning models enhance detection precision, minimizing false positives and negatives. Its real-time analysis and advanced data integration swiftly identify suspicious activities, while effortlessly scaling to handle large transactional volumes for growing institutions.

Business Benefits: Automating AML processes reduces operational costs, streamlines compliance, and ensures adherence to regulations, lowering penalties. AI Studio proactively identifies risks, improving security and fostering customer trust through reliable and compliant operations.

Early Claim Prediction

Challenge

Multiple early claim prediction models across systems caused fragmented management, offline inference delays, manual scripting inefficiencies, making data sharing difficult amongst teams.

Solution

UnifyAI's automated model orchestration for early claim prediction, streamlines workflows, improves accuracy, and delivers seamless integration with end-system APIs for efficient decision-making.

Benefits

Technical Benefits: AI Studio from UnifyAI accelerates advanced claim prediction models and processes policyholder data in real-time with APIs. It offers customizable models that improve prediction accuracy by adjusting to new data.

Business Benefits: Minimizes financial losses by swiftly identifying and addressing fraudulent transactions, enhances customer trust and loyalty, and provides actionable insights for continuous improvement in fraud prevention strategies.

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