Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.
Customer & Marketing Strategy
Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.
Digital Engineering
Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.
Station Studio
Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.
Supply Chain & Industry 5.0
Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.
Sustainability
Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.
Physical AI
Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.
Next-Gen Infrastructure
From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.
Human-centric decision models cannot scale with the complexity of modern pharma operations.
Why manufacturing agentic operations?
Agentic AI continuously monitors production, quality, and supply chain signals.
Routine decisions are automated, while exceptions are escalated to experts—improving speed, consistency, and resilience. This delivers operations that decide—autonomy with control.
Key benefits
Faster response to deviations
Reduced cognitive load on teams
Governance of AI decisions
Integration with regulated systems
How NTT DATA helps
01
Agentic AI reference models
02
Integration with MES, ERP, and quality systems
03
Decision governance and explainability
04
Secure AI platforms and operations
05
Workforce enablement
Proven impact
Autonomous efficiency achieved
Results that matter
Pharma & Life Science organizations achieve measurable improvements:
Incident response time
Reduced
Order fulfillment
Improved reliability
Decision latency
Faster actions
Apply AI agents to manage manufacturing complexity