Operationalize AI/ML and enable self-service analytics across your organization
Struggling to operationalize AI and analytics?
Many organizations struggle to move AI and machine learning from experimentation to production. Without proper infrastructure, model monitoring, and governance, your AI initiatives remain stuck in proof-of-concept phase, unable to deliver business value.
From experimentation to production with full traceability
Analytics silos limit decision-making
Fragmented analytics tools and disconnected data sources prevent decision-makers from getting a complete view of the business. Without unified data models and self-service capabilities, insights remain limited and actionable intelligence is delayed.
Enable AI/ML and self-service analytics at scale
Operationalize AI and analytics in 3 steps
- Deploy AI with Databricks MLflow, feature stores, and model monitoring
- Create self-service analytics with Databricks SQL and Power BI integration
- Build unified data models that drive actionable insights across the organization
Start with an AI & Analytics Readiness Assessment
This is what we will cover during our first (online) meeting.
Review your existing Non-SAP and/or SAP landscape.
Insights into lowering your TCO and how SAP BTP will fit into your new infrastructure.
Your current solutions, integrations, business processes and running applications.
How we can inspire and help you with the first steps.
Unlock the full potential of your data with AI
AI-powered insights and self-service analytics
- Train and deploy AI/ML models seamlessly with full governance
- Enable decision-makers through unified data models and Power BI integration
- Create personalized customer experiences with machine learning
- Implement real-time fraud detection and risk analytics
Industry Applications
Retail & Consumer Goods
- Unified 360° customer view across online and offline channels
- Demand forecasting and inventory optimisation
- Personalised marketing powered by machine learning
Financial Services
- Risk and compliance analytics with full data lineage
- Fraud detection and real-time transaction monitoring
- Predictive insights for portfolio management
Subscribe and join 450 like-minded professionals in the AI & Analytics Community
Here are the latest questions from the community related to Rapid application development scalability:
- How can I move AI from experimentation to production?
- What are the benefits of MLflow for model management?
- How to create self-service analytics for business users?
- What's the best approach for real-time AI applications?