About this event
Clinical Data Management is evolving through connected data, AI, and cross-functional collaboration. Maxis AI converts connected insights into trusted execution through supervised, accountable, and verifiable AI workflows.
Visit Booth #514 at SCDM Annual Conference 2026 to see how our AI Workforce enables trusted execution with human oversight, governance, and regulatory confidence.
Supporting the Evolution of Clinical Data Management
Clinical Data Management
Discover how an AI Workforce helps Clinical Data Management teams transform connected clinical data into supervised, accountable, and verifiable execution across modern clinical trials.
Risk-Based Clinical Data Management
Turn risk signals into coordinated follow-up, documented actions, and closed-loop verification that strengthens study oversight and operational confidence.
Clinical Trial Operations
Bridge Clinical Data Management and Clinical Operations through AI-guided coordination that improves cross-functional collaboration while keeping teams in control.
AI & Cognitive Technologies
Experience how an AI Workforce augments — not replaces — clinical teams by supporting decision-making, collaboration, and operational execution with human oversight.
Technology & Data Platforms
See how Maxis AI connects CTMS, EDC, eTMF, Safety, and other clinical systems to orchestrate execution across fragmented workflows and enterprise platforms.
Regulations & Standards
Support responsible AI adoption with human oversight, governance, auditability, traceability, and inspection-ready execution designed for regulated clinical environments.
Don't miss our featured conference sessions
From Signals to Supervised Action: The AI Clinical Control Tower for Proactive Trial Execution
Speaker: Rajesh Hagalwadi, Director, Clinical Solutions, Maxis AI; and Susan Bornstein, MPH, Principal, SMB Consulting & Board Advisory | Agentic AI Advisor, Maxis AI.
Session Overview: Clinical teams have more data than ever, but critical signals often remain fragmented across systems, delaying action. See how Maxis AI's AI-native Clinical Control Tower connects clinical and operational signals and activates an AI-Guided Action Path to support earlier, accountable resolution - with governed AI agents and human review where required.
From Data Management to Data Engineering: The Technical Evolution of the AI-Era CDM
Speaker: Laxmiraju Kandikatla, CSV Lead, Maxis AI, alongside industry leaders from Fortrea, Medidata Solutions, Accenture, and Pfizer.
Session Overview: Explore how Clinical Data Management is evolving to support increasingly complex data sources and AI-era clinical research, with a focus on the technical foundations shaping this transformation - including machine learning, NLP, data interoperability, and emerging approaches to clinical data workflows.
From Raw to Ready: Automating SDTM Using Metadata-Driven Pipelines
Speaker: Rajesh Hagalwadi, Director, Clinical Solutions, Maxis AI, along with industry leaders from AbbVie, ZS Associates, and Stuyvenberg Advisory Group.
Session Overview: Explore how metadata-driven automation is transforming the conversion of raw clinical data into submission-ready SDTM datasets, helping organizations improve scalability, consistency, quality, and operational efficiency.
Connect with our team
Meet the experts
Nicole is a strategic clinical research leader with 19+ years of experience driving growth, partnerships, and innovation. At Maxis AI, she helps organizations harness AI-driven clinical data solutions to streamline trials and improve outcomes. An experienced industry speaker, Nicole is passionate about advancing clinical research through technology, collaboration, and bold thinking.
Ankur has over 23 years of experience in clinical strategy, advisory, consulting, and solutioning across SaaS and functional services. His experience covers clinical data management, statistical programming, biostatistics, data standardization, clinical operations, and digital transformation. He has supported thousands of clinical trials.
With over 12 years in Life Sciences and Pharma, Rajesh is leading AI-driven solutions across clinical data management, Biometrics, RBQM, and GxP workflows. He specializes in clinical data analytics, AI governance, and solution architecture, applying agentic AI across clinical research. Rajesh leads proof-of-value engagements with Pharma, Biotech, and CROs, enabling validated, production-ready AI solutions and responsible adoption in regulated environments.
Laxmiraju Kandikatla brings 13+ years of experience across life sciences, pharmaceutical, and clinical research sectors. As CSV Lead at Maxis AI, he leads validation and compliance frameworks for clinical research systems, with hands-on experience across GAMP 5 Categories 3, 4, and 5. He holds an M.Pharm from NIPER and is an ASQ-Certified Quality Auditor, with expertise in GxP, 21 CFR Part 11, EU Annex 11, and FDA guidance.
Explore our AI Workforce Platform
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.