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Data, Analytics & Insights Platforms - Cases Business services

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Data, Analytics & Insights Platforms

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Development of AI-Driven Steel Market Analytics Platform with Customer-Centric Insights

Manufacturing

AI-powered analytics platform with real-time market insights and feedback integration

Python-based machine learning frameworks, Cloud-native architecture (AWS/GCP), Real-time data processing pipelines...
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Development of a Scalable Market Research Platform with Real-Time Analytics and Enhanced Data Visualization

Business services

A cloud-native platform for real-time audience analytics with interactive visualization and automated reporting capabilities.

Nest.js, AWS Databricks, React.js...
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Development of a Secure, Scalable CMS Platform with Advanced Analytics and Multi-Platform Integrations

Advertising & marketing

Create a modular CMS with advanced security, analytics, and integration capabilities

Microservices architecture with Protobuf, GraphQL APIs for data management, Next.js frontend framework...
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Modernization of Data Modeling Platform with Enhanced Connectivity and Performance Optimization

Information technology

Modernized data modeling platform with expanded capabilities

.NET 7 framework, Microservices architecture, Custom SQL parser development...
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Libra-Enabled Data Annotation Platform Enhancement

Information technology

The DAP must allow users to annotate data, earn rewards in Libra, and manage their Libra wallets. The system should support secure transactions and provide accurate tracking of earnings.

Node.js, JavaScript, Libra Blockchain...
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AI-Powered Event Filtering for Mapping Platform

Hospitality & leisure

The system must automatically analyze event descriptions and metadata to classify events as relevant or irrelevant based on whether they occur outdoors. It should provide an API for integration with the existing platform.

Hugging Face Transformers, Google BERT, Azure Machine Learning Studio...
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Real-time Voice Analytics Platform Enhancement & Cloud Integration

Information technology

The platform needs a unified, scalable, and reliable communication framework to handle real-time voice interactions. It must support integrations with cloud communication platforms and provide comprehensive metrics and alerting.

Docker, Kubernetes, Prometheus...
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