Applied AI Summit
Free online conference | October 13-15, 2026Schedule
Day 1 – Generative AI
Tuesday, October 13
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
The 2026 medical AI scorecard: accuracy, cost and responsible AI across the patient journey
Keynote Speaker: David Talby – CEO at John Snow Labs
12:25 pm ET – 12.45 pm ET
From Data to Signal: A Journey Using AI and Agents
Keynote Speaker: Moody Hadi – Head of AI Strategy & Execution at S&P Global
12:45 pm ET – 1:05 pm ET
Prompt + Tools = Value; Everything Else Is Infra
Keynote Speaker: Ashish Shubham – SVP Engineering and Engineering Fellow at ThoughtSpot
1:05 pm ET – 1:25 pm ET
Evaluating Generative Models For Financial Research: Grounding, Uncertainty And Human Review
Keynote Speaker: Dhagash Mehta – Head of Applied AI Research (AI, GenAI, Responsible AI) at BlackRock
1:25 pm ET – 1:45 pm ET
Indicsafe: Evaluating Multilingual LLM Safety Across 12 Indic Languages
Keynote Speaker: Priyaranjan Pattnayak – Sr. Principal Scientist at Oracle
2:00 pm ET – 2:30 pm ET
Evaluating Agentic AI Systems in the Real World
Snehal Bhole – Director, Data Science – AI, Personalization & Recommendation at Expedia Group
Pranidhi Prabhat – Senior Manager, Data Science & Analytics at Expedia Group
AI-driven Emotion-aware Platforms: A Review of the Field
Colleen Crangle – Founder/CEO at Tiggim
Agentic Knowledge Ecosystems: Modeling the Convergence of Hybrid Search, Active Metadata, and Self-Improving AI Pipelines
Alice Chung – Field Medical Excellence & Enablement Lead at Genentech
2:35 pm ET – 3:05 pm ET
Turning Generative Models into Reliable System Components
Nirmal Jingar – Sr. Engineering Manager at Wayfair
Real-Time AI Feature Pipelines: From Clickstream to Inference in Production
Jayakumar Ramalingam – Staff Software Engineer, Cloud Architect at SiriusXM
Modernizing a Data Estate for AI Without a Big-Bang Rewrite: A Production Blueprint
Géza Kuti – Director, Delivery Management, Head of Data Engineering at EPAM Systems
3:10 pm ET – 3:40 pm ET
Making a data platform AI ready
Ayan Putatunda – Staff Data Engineer at Zendesk
From POC to Production: Best Practices for Agentic Enterprise AI
Nihaad Saleem – Technical Account Manager at AISquared
Legacy modernization in the AI enterprise era
Nithesh Gudipuri – Associate Director, Technology at Raymond James
3:45 pm ET – 4:15 pm ET
When AI Agents Can Spend: Zero-Trust Patterns for Agentic Commerce
Yesha Patel- Enterprise Solution Architect at IBM
Building Video Understanding Agents and models that can reason, interact and act on long form videos
Logesh Umapathi – Machine Learning Engineer at Blackbox.ai
Comprehension Debt in Vibe Coding
Ravi Venugopal – CEO at Giggso
Day 2 – Healthcare AI
Wednesday, October 14
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Patient Journey Intelligence: the governed clinical data foundation for regulatory-grade healthcare AI
Keynote Speaker: Veysel Kocaman – CTO at John Snow Labs
12:25 pm ET – 12.45 pm ET
The evolution of MedHELM from single-task evaluations to multi-step workflows
Keynote Speaker: Nigam Shah – Chief Data Scientist at Stanford Health Care
Keynote Speaker: Alin Blidisel – CEngineering Technical Lead at Pacific AI
12:45 pm ET – 1:05 pm ET
PacificMed: 70+ regulation-grounded benchmarks for clinical AI bias, fairness, safety and reliability
Keynote Speaker: David Talby – CEO at Pacific AI
1:05 pm ET – 1:25 pm ET
Clinical NLP that clinicians will use: grounding, specialty evaluation and workflow fit
Keynote Speaker: Rachel Wities – NLP and GenAI Lead, AI Center at Sheba Medical Center
1:25 pm ET – 1:45 pm ET
From Validated Event to Validated State: Governing AI That Changes After Deployment
Keynote Speaker: Geethapriya Setty – Global Regulatory Affairs Manager at Hologic
Keynote Speaker: Daljit Chaggar – Regional Vice President at NNIT, Inc.
1:50 pm ET – 2:20 pm ET
Regulatory-Grade Clinical Text De-Identification at a Large Academic Medical Center
Pan Yu – Senior Data Systems Analyst at UCLA Health
Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
Shubham Vatsal – Senior Data Scientist at Cigna
Multimodal AI in the Real World: Combining Acoustic Analysis, Digital Biomarkers, and Environmental Data for Accessible Diagnostics
Komal Sharma – Founder & CEO at Mednoia
Pratik Sharma – Technical Advisor at Mednoia
2:25 pm ET – 2:55 pm ET
How AI changes RADV audit economics for health plans
Sean Creighton – Founding Partner at Data4Healthcare
Hasham Ul Haq – Co-Founder and CTO at CMS (former) and Martlet AI
Before You Deploy AI: Mapping Healthcare Workflows to Find What Should (and Shouldn’t) Be Automated
Joan Kelly – Founder and CEO at Caidir
Automating Clinical Predictive Modeling: From Data to Validated Biomarkers with AutoModeler
Ray G. Butler – Director of Data Science at Butler Scientifics
3:00 pm ET – 3:30 pm ET
Evidence-grade AI: building traceable systems for high-stakes clinical and regulatory workflows
Prashant Thumma – CTO at 3aware
Why is your LLM eval suite not telling the truth (in the insurance domain)
Srikannan Balakrishnan – Product Engineering LLM/MLOps & AI Observability Lead at Guardian Life
Knowledge Graph-Augmented Ambient AI for Clinical Note Generation
Jakir Hossain – AI Research Scientist at University of Pittsburgh
3:35 pm ET – 4:05 pm ET
When Physicians Cannot Connect the Dots: Building a Governed Healthcare Agent
Monika Aggarwal – Data & AI Technical GTM Product Leader at IBM
Driving Health Intelligence: Eye-Tracking for Early Disease Detection in Automobiles
Thangeswaran Natarajan – Senior Manager, Software Engineering at General Motors
Turning Health Metadata into Searchable Insight with Generative AI
Anindita Nath – Health AI Researcher at Independent researcher
Day 3 – AI Governance
Thursday, October 15
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Continuous AI governance: automated risk reassessment and production drift alerts
Keynote Speaker: Julio Bonis – Principal Data Scientist, John Snow Labs; contributing to Pacific AI benchmark work at John Snow Labs / Pacific AI
12:25 pm ET – 12.45 pm ET
CliniCARE-Bench: every clinical agent tested commits when the record says defer
Keynote Speaker: Emily Xue – Head of Enterprise AI at Scale AI
12:45 pm ET – 1:05 pm ET
Applied AI governance at Mayo Clinic: reviewing AI tools before they reach practice
Keynote Speaker: Brenna Loufek – Director of Artificial Intelligence, Regulatory & Quality at Mayo Clinic
1:05 pm ET – 1:25 pm ET
Turning Responsible-AI Principles into Platform Primitives and Release Gates
Keynote Speaker: Nitin Aggarwal – Sr Director of Product Management, Platform AI & Responsible AI at ServiceNow
1:25 pm ET – 1:45 pm ET
Auditing hiring AI: 148,940 counterfactual pairs across 43 protected classes
Keynote Speaker: Jason Safley – CTO at Opptly
Keynote Speaker: Anju Aggarwal – Head of Strategic Programs, at Pacific AI
1:50 pm ET – 2:20 pm ET
Pharma LLM evaluation metrics: a GxP-compliant evaluation and human-in-the-loop review framework
Bharadwaj Popuri – Head of R&D Automation Platforms, Senior Director at Takeda Pharmaceuticals
Towards Reliable Clinical AI: Evaluating Factuality, Robustness, and Real-World Performance of LLMs
Monica Munnangi – PhD Student at Northeastern University
Context Intelligence Gateway for Healthcare AI: Governed Agentic Systems, MCP Tooling, and Auditable Reasoning Traces
Krishnendu Dasgupta – Founder and Independent Researcher at AXONVERTEX AI
2:25 pm ET – 2:55 pm ET
Data-Bound, Not Compute-Bound: Compositional DAGs for AI Training Pipelines
Saket Karve – Member Of Technical Staff, Engineering at Dyna Robotics
From Hallucinations to Humility: A Systematic Pipeline for Medical AI Red Teaming
L. Raymond Guo – Assistant Professor at West Virginia University
Designing AI-First Lending Platforms: Patterns for Real-Time Decisions, Risk, and Compliance
Navneet Tyagi – Senior Software Engineer at Finance of America
3:00 pm ET – 3:30 pm ET
AI literacy improvement at a cancer center: ‘AI: A-to-Z’ course design, delivery and impact assessment
Sonali Tamhankar – Senior Clinical Data Scientist at Fred Hutch Cancer Center
Conducting a Fundamental Rights Impact Assessment (FRIA) of Your AI System
Corinna Kester – Senior Manager at Ramboll
From drift alert to drift refusal: fail-closed containment of provider change in governed AI systems
Muntaser Syed – Researcher at Florida Institute of Technology
3:35 pm ET – 4:05 pm ET
Building Foundation Embeddings for Scalable Multi-Task Recommendation Systems
Devavrat Khanolkar – Machine Learning Engineering Technical Leader at Cisco Systems
Governing Generative AI for Safe AI-Assisted Software Development
Ashima Chakravarty – Global Head of Change Management at BlackRock
Title coming soon!
Speaker coming soon!