Generative AI
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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
N
P
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What is Generative AI?
Generative AI at Xebia refers to the use of advanced AI models that can create new content, such as text, images, audio, or code, based on learned patterns from large datasets. Xebia leverages generative AI to help businesses boost efficiency, drive innovation, personalize products and services, and gain a competitive edge. Their solutions include developing and fine-tuning large language models, automating content creation, streamlining workflows, and integrating AI into enterprise systems with robust governance and security. Xebia’s platforms and frameworks enable rapid deployment, cost optimization, and reliable scaling of generative AI, ensuring measurable business impact and operational excellence.
What are the Key Benefits of Generative AI?
- Accelerated Content Creation: Automates the generation of marketing copy, reports, emails, and documentation.
- Enterprise-Grade Tools: Platforms like GenAI OS and Base enable secure, governed, and scalable deployment of GenAI across organizations.
- Customized AI Models: Development of Small Language Models (SLMs) tailored to specific enterprise data and use cases.
- Improved Developer Productivity: GenAI copilots assist in writing, debugging, and optimizing code.
- Enhanced Customer Experience: Personalized content and intelligent virtual assistants improve engagement and response time.
What are Some Generative AI Use Cases at Xebia?
- AI-Powered Copilots: Internal tools that assist employees in tasks like report writing, project documentation, or data analysis.
- Document Summarization & Generation: Automatically summarizing lengthy documents, generating legal drafts, or creating structured business content.
- Enterprise Chatbots: GenAI-driven bots that handle complex customer queries using company-specific knowledge bases.
- Marketing Automation: Generating social media posts, blog content, or ad copy tailored to different audience segments.
- Software Development Support: Auto-generating code snippets, unit tests, and tech documentation to support developers.
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