Streaming Data
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- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Agents for IT Service Management
- AI for Compliance Monitoring
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Orchestration
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Augmented Reality
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C
D
E
G
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M
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P
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Streaming Data refers to the continuous flow of information generated from multiple real-time sources such as sensors, applications, transactions, and social media feeds. Unlike batch data that is processed in intervals, streaming data is analyzed and acted upon as it arrives, enabling instant insights and faster business decisions.
Xebia helps organizations design and implement streaming data platforms that integrate data engineering, analytics, and machine learning pipelines. Using technologies such as Apache Kafka, Flink, and Spark Streaming, these systems empower businesses to move from reactive to proactive operations.
What Are the Key Benefits of Streaming Data?
- Enables real-time monitoring and response to critical events
- Reduces latency between data generation and insight delivery
- Supports predictive analytics and automated decision-making
- Improves customer experience through personalized, instant feedback
- Scales efficiently to handle large volumes of continuous data
- Forms the foundation for real-time AI and digital transformation initiatives
What Are Some Streaming Data Use Cases at Xebia?
- Real-time analytics in e-commerce for personalization and fraud detection
- IoT systems that process sensor data for predictive maintenance
- Telecommunications monitoring that tracks performance and outages instantly
- Financial transaction monitoring for compliance and risk management
- Logistics and supply chain visibility powered by live tracking data
- Dynamic dashboards for live KPIs and operational insights
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