SCDM 2026 India Single Day Event

Hexaware is proud to announce its participation as the Host Sponsor of the SCDM 2026 India Single Day Event, where clinical data leaders will explore the innovations shaping the next phase of Clinical Data Management (CDM).

As clinical studies grow in complexity and data volumes expand, traditional approaches are no longer enough to meet the demands of speed, quality, and traceability. At the same time, AI in clinical data management is opening new possibilities to modernize how clinical data is prepared, reviewed, and operationalized across the study lifecycle.

At SCDM India 2026, Hexaware will showcase its theme, Reimagining Clinical Data Management for the AI Era, and how organizations can create the path from data readiness to intelligent execution by:

• Strengthening data quality and governance
• Empowering teams with intelligent agents
• Automating study execution at scale through Digital Data Flow

As part of the conference agenda, Raj Gondhali, Vice President – Solutions and Global Head, Life Sciences Practice, Hexaware, will deliver a keynote session titled “Data Readiness for Agents: Building the Foundation for Trustworthy AI in Clinical Data Management.”

The session will explore how organizations can engineer AI-ready, agent-ready clinical data through standards, metadata, lineage, and governance—creating the trusted foundation required for intelligent agents and AI-driven clinical data management.

Hexaware’s Focus at SCDM India 2026

Our focus is on building a governed, AI-ready operating model where trusted data, intelligent automation, and human expertise work together to deliver higher-quality clinical data faster.

AI-Ready Clinical Data

Building trust before intelligence

Lay the groundwork for AI with trusted data, standardized metadata, and end-to-end traceability.

Outcomes: Faster study start-up, improved data quality, stronger compliance, and AI readiness.

Agentic Data Management

From manual review to intelligent oversight

Learn how AI agents can assist with data review, query management, reconciliation, and quality monitoring—while keeping experts in control.

Outcomes: Earlier issue detection, greater efficiency, smarter prioritization, and human-led decision-making.

Digital Data Flow

From study intent to execution

Transform protocol and study metadata into downstream data management assets, creating a connected, traceable path from design to execution.

Outcomes: Faster setup, reduced manual effort, increased standardization, and scalable governance.

Featured Demonstration

Protocol-to-Data-Management Automation

See how Hexaware’s Digital Data Flow converts protocol and study design inputs into execution-ready artifacts, including:

• Data Management Plans (DMPs)
• Data Quality Rules
• CRF guidance
• Edit-check specifications

Discover how a metadata-driven approach accelerates study setup, improves consistency, and maintains traceability across the clinical data lifecycle.

Don’t miss the opportunity to connect with Hexaware at the SCDM conference 2026 and explore how we’re helping organizations modernize Clinical Data Management for the AI era.