Aspects Regular Artificial Intelligence Enterprise Artificial Intelligence
Scope Refers to applications and projects outside of business. Address business challenges and opportunities.
Purpose Overcoming general challenges and offering AI products & services. Overcoming business-growth hindering challenges, optimizing operations, and making decision-making faster.
Data Sources Uses publicly available data and academic data. Internal data, customer data, supply chain, and industry-specific data.
Personalization Not tailored to unique customer or business requirements. Specifically, it addresses customers and business requirements.
Deployment No specific vertical deployment. Deployment for improving internal processes and boosting efficiencies.
Scalability It is not a primary concern for general AI apps. Requires scalability to handle high-volume traffic and data.
ROI & Value User engagement, customer satisfaction, and revenue generation are primary sources of ROI. Cost reduction, increase in revenue, productive improvement, and competitive edge are core factors of ROI.
Regulations & Ethics Compliance and ethical considerations may vary depending on the vertical. Adherence to data privacy and industry-specific compliances.
Integration Consumer-supported AI solutions do not focus on integrations. Integration with existing ERP, CRM, and supply chain management is essential.
Data Governance No rigorous data governance. Strict data governance practice to ensure high-quality data and compliance.
Use Cases Chatbots, recommender systems, and social media algorithms. Demand prediction, fraud detection, customer support bots, and supply chain optimization.
Risk Impact May impact individuals. May impact the organization as a whole.