Data Cloud
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- Agent-Oriented Architecture
- 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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Data Cloud - is a unified, scalable platform that allows organizations to store, manage, and analyze massive volumes of data in real time across hybrid and multi-cloud environments. At Xebia, the Data Cloud approach helps businesses centralize data from various sources, eliminate silos, and enable advanced analytics, AI/ML, and real-time decision-making. By leveraging platforms like Snowflake, Google BigQuery, and AWS Redshift, Xebia empowers enterprises to transform their data infrastructure into a secure, flexible, and insight-driven ecosystem that supports innovation and business agility.
Key benefits:
- Unified access to structured and unstructured data
- Real-time analytics and faster decision-making
- Scalability across multiple cloud environments
- Cost optimization with pay-as-you-go architecture
- Strong security, governance, and compliance features
Use cases at Xebia:
- Building centralized data lakes for analytics and AI applications
- Migrating traditional data warehouses to modern cloud platforms
- Real-time data integration across marketing, finance, and operations
- Enabling self-service BI dashboards for enterprise users
- Supporting scalable AI/ML model training on cloud-native data
From 0 to MLOps with ❄️ Part 2: Architecting the cloud-agnostic MLOps Platform for Snowflake Data Cloud
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