PUBLICATIONS
Artificial Intelligence Advice
Edana agency is expert in AI integration and development. Our engineers and software architects design customized, high-impact solutions. Discover their advice to make your AI projects a success.
Building an Effective AI Development Team: Keys and Best Practices
Lire: Building an Effective AI Development Team: Keys and Best Practices
How AI Tools Can Revolutionize the Work of Scrum Masters
Lire: How AI Tools Can Revolutionize the Work of Scrum Masters
How to Integrate AI to Transform Business Digitalization in Switzerland
Lire: How to Integrate AI to Transform Business Digitalization in Switzerland
Connecting an AI Assistant to Enterprise Data: How to Prevent Data Leaks, Access Errors, and Compliance Risks
Lire: Connecting an AI Assistant to Enterprise Data: How to Prevent Data Leaks, Access Errors, and Compliance Risks
Graph Databases and RAG: Why Graph Databases Strengthen Enterprise AI Projects
Lire: Graph Databases and RAG: Why Graph Databases Strengthen Enterprise AI Projects
Vector Databases for RAG: Pinecone, Qdrant, Weaviate, Milvus, pgvector or Elasticsearch – How to Choose?
Lire: Vector Databases for RAG: Pinecone, Qdrant, Weaviate, Milvus, pgvector or Elasticsearch – How to Choose?
Vector Database: How to Choose the Right Solution for an AI or RAG Project
Lire: Vector Database: How to Choose the Right Solution for an AI or RAG Project
Agent-to-Human Protocol: Why AI Agents Must Request Human Permission
Lire: Agent-to-Human Protocol: Why AI Agents Must Request Human Permission
Salesforce Agentforce: Architecture, Use Cases and Limitations of AI Agents in the Salesforce Ecosystem
Lire: Salesforce Agentforce: Architecture, Use Cases and Limitations of AI Agents in the Salesforce Ecosystem
Testing an AI Model: How to Prevent a Promising Project from Becoming an Operational Risk
Lire: Testing an AI Model: How to Prevent a Promising Project from Becoming an Operational Risk
AI Design, Human Validation: How to Build Reliable, Human-Approved AI Workflows
Lire: AI Design, Human Validation: How to Build Reliable, Human-Approved AI Workflows
Automating Administrative Tasks with AI: Where You Truly Save Time Without Sacrificing Control
Lire: Automating Administrative Tasks with AI: Where You Truly Save Time Without Sacrificing Control
RAGAS, TruLens, DeepEval or OpenAI Evals: Which Framework to Choose for Evaluating Your AI Applications?
Lire: RAGAS, TruLens, DeepEval or OpenAI Evals: Which Framework to Choose for Evaluating Your AI Applications?
LangChain vs LlamaIndex: Which Framework to Choose for an AI Application, a RAG, or a Business Agent?
Lire: LangChain vs LlamaIndex: Which Framework to Choose for an AI Application, a RAG, or a Business Agent?
AI in Recruitment: Real Benefits, Bias Risks, and a Responsible Framework
Lire: AI in Recruitment: Real Benefits, Bias Risks, and a Responsible Framework
Evaluating a Retrieval-Augmented Generation System: Metrics, Benchmarks, and Methodology for Ensuring AI Reliability in Production
Lire: Evaluating a Retrieval-Augmented Generation System: Metrics, Benchmarks, and Methodology for Ensuring AI Reliability in Production
Enterprise MCP: Connecting AI Agents to Business Systems Without Creating Integration Debt
Lire: Enterprise MCP: Connecting AI Agents to Business Systems Without Creating Integration Debt
The True Cost of AI Agents in the Enterprise: Total Cost of Ownership, Hidden Costs, and ROI Beyond the API Bill
Lire: The True Cost of AI Agents in the Enterprise: Total Cost of Ownership, Hidden Costs, and ROI Beyond the API Bill
Agentic RAG: Why Traditional RAG Is No Longer Sufficient to Ensure Reliable Enterprise AI
Lire: Agentic RAG: Why Traditional RAG Is No Longer Sufficient to Ensure Reliable Enterprise AI
AI-Powered Personalized Learning: How to Transform Education Without Dehumanizing the Learning Experience
Lire: AI-Powered Personalized Learning: How to Transform Education Without Dehumanizing the Learning Experience
Are AI Tools Becoming Essential for UX Researchers?
Lire: Are AI Tools Becoming Essential for UX Researchers?
Advantages and Disadvantages of the TensorFlow AI Framework in the Enterprise
Lire: Advantages and Disadvantages of the TensorFlow AI Framework in the Enterprise
AI-First Strategy: How to Build a Genuine Competitive Advantage from Your Starting Point
Lire: AI-First Strategy: How to Build a Genuine Competitive Advantage from Your Starting Point
How AI Is Transforming the Banking Customer Experience Without Compromising Trust
Lire: How AI Is Transforming the Banking Customer Experience Without Compromising Trust
Building Useful AI Agents: A Practical Guide to Moving from Prototype to Production
Lire: Building Useful AI Agents: A Practical Guide to Moving from Prototype to Production
Google AI Overviews: How to Prepare Your SEO for a Search That Synthesizes the Web and Could Tomorrow Reconstruct Website Experiences
Lire: Google AI Overviews: How to Prepare Your SEO for a Search That Synthesizes the Web and Could Tomorrow Reconstruct Website Experiences
Achieving AI Adoption in the Enterprise: 5 Levers That Transform Pilots into Tangible Results
Lire: Achieving AI Adoption in the Enterprise: 5 Levers That Transform Pilots into Tangible Results
Training Your Employees in Artificial Intelligence: A Concrete Method to Transform AI into Sustainable Gains
Lire: Training Your Employees in Artificial Intelligence: A Concrete Method to Transform AI into Sustainable Gains
Enterprise LLM Security: Real Risks, Deployment Pitfalls, and Safeguards to Implement
Lire: Enterprise LLM Security: Real Risks, Deployment Pitfalls, and Safeguards to Implement
Frontier Deployment Engineer: The Role That Turns Generative AI POCs into Deployed Solutions
Lire: Frontier Deployment Engineer: The Role That Turns Generative AI POCs into Deployed Solutions
AI Trends 2026: The Advancements That Truly Matter for Businesses
Lire: AI Trends 2026: The Advancements That Truly Matter for Businesses
How to Create an AI Application in 2026: A Comprehensive Guide to Defining Requirements, Choosing the Right Architecture, Integrating the Appropriate Model, and Launching a Viable Product
Lire: How to Create an AI Application in 2026: A Comprehensive Guide to Defining Requirements, Choosing the Right Architecture, Integrating the Appropriate Model, and Launching a Viable Product
5 Practical AI Use Cases in Front-End to Accelerate Delivery Without Compromising User Experience
Lire: 5 Practical AI Use Cases in Front-End to Accelerate Delivery Without Compromising User Experience
6 Essential Questions on AI Application Development Finally Clarified
Lire: 6 Essential Questions on AI Application Development Finally Clarified
RAG and Knowledge Management: Why Your Current KMS Is No Longer Sufficient
Lire: RAG and Knowledge Management: Why Your Current KMS Is No Longer Sufficient
Collaborating with AI in the Workplace: How to Boost Productivity Without Dehumanizing Your Organization
Lire: Collaborating with AI in the Workplace: How to Boost Productivity Without Dehumanizing Your Organization
How to Recruit the Right Retrieval-Augmented Generation Architects and Avoid AI Project Failure
Lire: How to Recruit the Right Retrieval-Augmented Generation Architects and Avoid AI Project Failure
RBAC vs ABAC: Why Your Access Model Can Become a Risk (or an Opportunity)
Lire: RBAC vs ABAC: Why Your Access Model Can Become a Risk (or an Opportunity)
Googlebot vs GPTBot: How AI Crawlers Are Transforming SEO
Lire: Googlebot vs GPTBot: How AI Crawlers Are Transforming SEO