The AI Maturity Journey
Discover what an AI maturity journey looks like and how you can embed AI within your organization.
Download whitepaperApplied & GenAI
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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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What is Applied & GenAI?
Applied and GenAI represent two complementary dimensions of artificial intelligence. Applied AI focuses on using AI technologies to solve specific, real-world business problems—such as forecasting demand, detecting fraud, or optimizing supply chains. It emphasizes practical implementation and measurable impact.
GenAI (Generative AI), on the other hand, refers to models and systems capable of creating new content—such as text, images, code, or simulations—by learning from vast datasets. With tools like large language models (LLMs), GenAI extends the boundaries of automation and creativity in enterprise settings.
Together, Applied and Generative AI enable organizations to combine efficiency with innovation, delivering reliable and transformative solutions.
What Are the Key Benefits of Applied & GenAI?
- Transforms complex business problems into data-driven solutions.
- Automates repetitive processes to save time and cost.
- Enhances decision-making with predictive insights.
- Powers creativity and innovation through generative models.
- Enables hyper-personalized customer experiences.
- Accelerates time-to-market for digital products and services.
What Are Some Applied & GenAI Use Cases at Xebia?
- Automating customer support with GenAI-powered virtual assistants.
- Generating code snippets and documentation to accelerate software development.
- Forecasting demand and optimizing inventory in retail.
- Personalizing financial recommendations for banking customers.
- Using generative design to create new product prototypes.
- Building scalable enterprise-grade AI platforms with monitoring and governance.
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