Personal office reviewing a big screen with a dashboard.
Business Talk

Data Modernization for AI at Scale

Building AI-ready data foundations across the pharma value chain.
Schedule a meeting
Listen podcast
-15
+15
0:00
/
0:00
Siloed, legacy data platforms limit AI performance and trust.
WHY DATA MODERNIZATION FOR AI AT SCALE?
Data modernization consolidates, standardizes, and governs data across R&D, manufacturing, clinical, and commercial domains.

With a unified data fabric, organizations unlock reliable AI at scale while ensuring compliance and security. This delivers AI begins with data—modern foundations, real impact.

Key benefits
check icon
Faster access to trusted data
check icon
Improved AI model performance
check icon
Migration from legacy platforms
check icon
Data ownership and governance

How NTT DATA helps

01
Data strategy and architecture design
Aviation specialists evaluating AI use cases against operational priorities
02
Data fabric and lakehouse implementation
Two professionals review a tablet in a blue-lit operations center with multiple monitors showing charts and data, while colleagues work at nearby screens.
03
Master data and metadata governance
scrolling on a tablet with a diagram
04
Security, privacy, and compliance
Person swipes a blue chip card through a tablet card reader in a café; the screen shows a payment processing for 133.50.
05
Enablement for analytics and AI teams
Man in a blue shirt uses a laptop in a data center aisle, standing before rows of black server racks with blue lights and overhead metal ducts.
Automated multi-channel pipette dispensing red liquid into a clear microplate in a brightly lit laboratory setting.
Proven impact
Data foundations strengthened
Results that matter
Pharma & Life Science organizations achieve measurable improvements
check icon
Data availability
Increased access
check icon
Analytics cycle time

Reduced delays

check icon
AI readiness

Improved maturity

Build AI-ready data foundations across the pharma value chain
Prepare data for AI
Drag