Enterprise technology
Fast-growing companies accumulate data faster than they can organize or use it.
EXAMPLE USE CASES
- —Modern lakehouse foundations
- —Self-service analytics
- —MLOps for in-product AI features
Industries & use cases
Different industries. The same need for AI-ready data.
The examples below show where modern data, AI and analytics can create value. They are illustrative use cases, not descriptions of past client projects.
HR & Financial services
Regulated reporting demands data that is accurate and reliable before it feeds any model.
EXAMPLE USE CASES
- —Modern data platforms for analytics
- —Automated regulatory reporting
- —Document intelligence with GenAI
Energy & utilities
Assets are distributed, long-lived and instrumented with data that rarely reaches decision-makers in usable form.
EXAMPLE USE CASES
- —Asset health monitoring
- —Grid and network scenario simulation
- —Maintenance planning from condition data
Manufacturing
Production data is split across machines, MES, ERP and spreadsheets, making it hard to see and predict what happens on the floor.
EXAMPLE USE CASES
- —Real-time production line monitoring
- —Predictive maintenance models
- —Quality analytics across plants
Healthcare & life sciences
Sensitive data across many systems must be integrated carefully, with privacy designed in from the start.
EXAMPLE USE CASES
- —Privacy-aware data integration
- —Operational analytics for facilities
- —Research data integration and analytics
Logistics & supply chain
Visibility breaks down across partners, warehouses and transport systems that all hold part of the picture.
EXAMPLE USE CASES
- —Supply chain visibility and scenario planning
- —Demand and capacity forecasting
- —Unified shipment and inventory data
Retail & e-commerce
Customer, product and inventory data sit in separate systems, limiting personalization and planning.
EXAMPLE USE CASES
- —Unified customer and product data
- —Demand forecasting
- —Generative AI for product content
Case studies
[Industry]
[Verified project title]
[Challenge, approach and verified result, approved by the client.]
[Industry]
[Verified project title]
[Challenge, approach and verified result, approved by the client.]
Don't see your industry?
The foundations are the same everywhere. Tell us about your data and we'll tell you what's possible.