Continuous Intelligence

Rated 4.5/5 from conference attendees.

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Session Feedback Results

Audience ratings from conference sessions

Speaker Expertise

96.70%

The fact that 96.70% of attendees agreed on the speakers’ expertise speaks volumes about the depth, relevance, and impact of the content shared during the event.

Content Clarity

93.41%

A strong 93.41% of participants acknowledged that the information was presented in a clear and understandable manner, reflecting the session’s engaging and well-structured delivery.

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Ajay Kumar Kambadkone Suresh

Head of AI Product Growth

Salesforce

Ashwin Kumar

CTO

xLM Continuous Intelligence

David Williamson

CIO

Abzena

Himanshu Jain

Technology Strategy and Innovation Leader

Amgen

Nagesh Nama

CEO

xLM Continuous Intelligence

Thena Alagappan

Head of Information Technology

SCA Pharma

Ahmed Dawod

Senior Machine Learning Engineer

BenchSci

Alexis Varela

Head of Channels & Partnerships

Sentra

Anand Natarajan

Director of AI/ML Solutions Delivery

xLM Continuous Intelligence

Dr. Nikolaj Van Omme

CEO/President

Funartech

Francisco Javier Gañán

CEO

OKReach

Geetesh Talajia

COO

xLM Continuous Intelligence

Michael Stannius Aagren

Director of Automation and Digitalization

Unibio

Nouridine Boukari

Founder and CEO

Nytia Health

Param Nagda

Machine Learning Engineer

xLM Continuous Intelligence

Shyam Patadia

Senior Test Automation Engineer

xLM Continuous Intelligence

Siddhant Shingi

Machine Learning Engineer

Valar Labs

Tanay Agrawal

Machine Learning Engineer

xLM Continuous Intelligence

Vaibhav Chimalgi

Software Engineer

xLM Continuous Intelligence

Xiaofeng Tan

Founder and CEO

DeepCovalent

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Keynote

xTelliGent Two Keynote

The keynote session established a compelling foundation for the conference by discussing the evolution of agentic AI within the life sciences sector. It highlighted the transition of AI systems from mere analytical tools to autonomous partners capable of contextual decision-making. The session stressed the importance of aligning AI innovation with regulatory expectations and encouraged organizations to invest in frameworks that support scalable and compliant AI solutions across research and development (R&D) and operations.

Himanshu Jain

Technology Strategy and Innovation Leader

Amgen

AI Strategy

Laying the Foundation for a Successful AI Implementation

This session provided strategic insights on how companies can effectively launch AI programs that ensure compliance. The speaker outlined essential success factors, including executive sponsorship, cross-functional collaboration, and assessments of AI readiness. Attendees were presented with real-world challenges and mitigation strategies to confidently transition from pilot projects to enterprise-grade AI adoption.

Michael Stannius Aagren

Director of Automation and Digitalization

Unibio

Validation

Intelligent Validation Agents: Generate URS and Execute Tests Autonomously

This session showcased an innovative validation tool capable of autonomously generating User Requirement Specifications (URS), Installation Qualification (IQ), and Operational Qualification (OQ) scripts, executing them in real time. The tool provided comprehensive audit traceability, ensuring full compliance with regulatory standards. Attendees witnessed how this advancement significantly reduced validation time and costs while enhancing accuracy and scalability.

Shyam Patadia

Senior Test Automation Engineer

xLM Continuous Intelligence

Environmental Monitoring

Revolutionizing Temperature Mapping and Environmental Monitoring with Autonomous Sensors

This session introduced a solution that automates the monitoring of environmental conditions, such as temperature and humidity, in storage and laboratory settings. The AI system collected sensor data, processed it in real time, and generated compliance-ready reports. It addressed the limitations of traditional mapping workflows, presenting a more reliable and intelligent alternative.

Tanay Agrawal

Machine Learning Engineer

xLM Continuous Intelligence

ML and OR

Hybridization of ML and OR: Case Studies

This session explored the integration of Machine Learning (ML) and Operations Research (OR) through practical case studies. The speaker demonstrated how combining these disciplines can solve complex optimization problems more effectively than either approach alone, showcasing real-world applications in supply chain management, resource allocation, and production planning.

Dr. Nikolaj Van Omme

CEO/President

Funartech

Stability Prediction

AI / ML for Stability Prediction: A Case Study

This session presented a detailed case study on applying AI and machine learning techniques to predict stability in pharmaceutical formulations. The speaker shared methodologies for developing predictive models that analyze complex datasets to determine product shelf-life and storage conditions, resulting in more efficient testing protocols and reduced time-to-market.

David Williamson

CIO

Abzena

ERP Validation

Case Study: ERP Continuous Validation Project

This case study focused on the validation of a core ERP system using AI-driven automation. A risk-based approach was employed to prioritize validation efforts, concentrating on high-impact modules. The session emphasized how automated tools facilitated validation at scale across two manufacturing sites, significantly reducing manual workloads and ensuring compliance.

Thena Alagappan

Head of Information Technology

SCA Pharma

Manufacturing AI

Transformations for Manufacturing Industry using Agentforce

This session introduced a platform that automates enterprise manufacturing operations through AI agents. These agents were shown to manage production planning, intelligent resource allocation, and process optimization while ensuring human oversight for critical decisions. The solution improved operational throughput and product quality by minimizing inefficiencies in manufacturing workflows.

Ajay Kumar Kambadkone Suresh

Head of AI Product Growth (Agentforce)

Salesforce

GxP Workflow

Intelligent GxP Workflow Automation: Meet Zippy, Your Tireless AI Compliance Companion

This demo-focused session introduced an AI assistant designed to automate up to 80% of Good Practice (GxP) workflows. It showcased capabilities such as multimodal data handling, conversational inputs, and role-based permissions. The assistant was demonstrated interacting with enterprise service management tools while maintaining real-time audit trails and enforcing human-in-the-loop approvals for critical tasks.

Param Nagda

Machine Learning Engineer

xLM Continuous Intelligence

Chemical AI

A Generative Chemical Language Model for Structure Elucidation of Organic Compounds

The session introduced a novel AI model trained on Nuclear Magnetic Resonance (NMR) and chemical datasets to predict unknown molecular structures. This approach was shown to shorten drug discovery timelines by providing accurate, data-driven molecular interpretations. Researchers demonstrated how the model complemented traditional chemistry techniques and improved decision-making.

Xiaofeng Tan

Founder and CEO

DeepCovalent

Regulatory Framework

Navigating the FDA's Risk-Based Framework for AI in Drug, Biologics, and Device Development

This session delved into the use of Natural Language Processing (NLP) agents to automate the summarization and validation of complex regulatory documents. The AI demonstrated its capability to identify inconsistencies and align content with FDA guidelines. Participants discovered how the system streamlined document generation and audit readiness, particularly in compliance-heavy submissions.

Nagesh Nama

CEO

xLM Continuous Intelligence

Digital Health

A Value Based Care Platform to Chronic Conditions Prevention

Presenters showcased a digital health platform that utilized predictive analytics to prevent chronic conditions. By analyzing behavioral and health data, the system generated personalized care pathways and early intervention alerts. The session illustrated how this approach could shift care from reactive to proactive, ultimately reducing long-term treatment costs.

Nouridine Boukari

Founder and CEO

Nytia Health (Nytia Labs Inc)

Dental AI

AI for Dentistry: End-to-end Smile Design

Attendees learned how AI and 3D modeling are revolutionizing dental diagnostics. The session illustrated how clinicians can utilize AI to scan, segment, and model dental structures for real-time smile design. The system's ability to personalize treatment plans within seconds was shown to enhance both efficiency and patient engagement.

Francisco Javier Gañán

CEO

OKReach

Data Challenges

Navigating Complex Data Challenges with AI Where LLMs Fall

This session addressed the application of AI in complex data environments where large language models (LLMs) often struggle. The speaker demonstrated specialized techniques for analyzing structured and unstructured data to uncover insights that traditional AI approaches might miss. The system was designed to complement existing AI solutions, enhancing both the accuracy and depth of data analysis.

Ahmed Dawod

Senior Machine Learning Engineer

BenchSci

Cancer Care

Transforming Cancer Care: The Role of AI in Modern Pathology

This presentation focused on applying AI to transform pathology workflows in cancer diagnosis and treatment. The speaker showcased how machine learning models analyze tissue samples to detect patterns invisible to the human eye, improving diagnostic accuracy and treatment selection. Attendees learned how this technology is being integrated into clinical practice to enhance patient outcomes.

Siddhant Shingi

Machine Learning Engineer

Valar Labs

Data Security

The Sentra Approach: Using AI to Solve the Data Problem

This session focused on employing AI for Data Security Posture Management (DSPM), enabling the identification and classification of sensitive data across cloud environments. It provided insights into how AI can manage data exposure, monitor access rights, and ensure GxP compliance. The solution emphasized proactive risk mitigation in regulated industries.

Alexis Varela

Head of Channels & Partnerships

Sentra.io

Closing Remarks

xTelliGent Two: Closing Remarks

The final session provided a strategic roadmap for executives on integrating AI across their organizations. It covered governance frameworks, ecosystem partnerships, and ethical implementation in life sciences. The session concluded with insights on balancing innovation with FDA compliance, emphasizing leadership's role in responsibly scaling AI and a summary of key takeaways from the conference.

Geetesh Talajia

COO

xLM Continuous Intelligence

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This is a perfect example of good use of AI. Take a mundane task that takes enormous time and automate.

Anonymous

Looks promising. Thanks for sharing. Impressed that there is no need to write any code to generate Test Cases and execution.

Anonymous

Great content and knowledgeable presenter who has done over 400 temp mapping projects. Quite impressive!

Anonymous

Very helpful and agree with continuous compliance. Still trying to understand how we can demonstrate or prove controls/validated state.

Anonymous

I thoroughly enjoyed attending the conference — it was insightful, engaging, and added real value to my understanding of GxP workflow management.

Anonymous

Nice to hear the perspective of an Industry leader on validation agents and the need for a Human in the middle.

Anonymous

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Attendee Satisfaction

Speaker Expertise

Topic Clarity

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xTelliGent Two KeynoteAmgen

Explore the transformative aspects of Agentic AI in regulated life sciences environments. Discover advanced autonomous systems in laboratory settings, regulatory excellence through intelligent automation, accelerated ROI through strategic implementation, and frameworks for responsible AI deployment. Learn how AI evolves from passive analytical tools to active collaborators in scientific workflows while maintaining GxP compliance.

Himanshu Jain Technology Strategy and Innovation Leader

Intelligent Validation Agents: Generate URS and Execute Tests AutonomouslyxLM

Experience the future of GxP validation with autonomous AI agents that perform end-to-end validation autonomously. Watch live as intelligent agents author URS documents, generate test cases, execute validation protocols in real-time with complete traceability, build tracematrix for full coverage, and deliver GxP-compliant documentation ready for audit submission.

Shyam Patadia Senior Test Automation Engineer

Laying the Foundation for a Successful AI ImplementationUnibio

Get a practical roadmap for sustainable AI implementation in high-stakes life sciences environments. Learn strategic preparation with realistic goals, leadership alignment and executive commitment, data and infrastructure readiness, security and ethics enforcement, and people empowerment through continuous training. Start small, learn quickly, and scale intelligently with people-centered AI success.

Michael Stannius Aagren Director of Automation and Digitalization

Revolutionizing Temperature Mapping and Environmental Monitoring with Autonomous IntelligencexLM

Transform temperature mapping from regulatory chore to strategic advantage with xLM's Intelligent Mapping Platform. Experience autonomous data collection, real-time visualization, voice-interactive data queries, automated GxP reporting, and effortless scaling to thousands of sensors. Say goodbye to audit anxiety with automated compliance reports and smart dashboards.

Tanay Agrawal Machine Learning Engineer

Hybridization of ML and OR: Case StudiesFunartech

Explore the future of Hybrid AI combining Machine Learning and Operations Research to solve complex industrial problems. Dive into real-world logistics case studies including Capacitated Vehicle Routing Problem with 30% efficiency gains, Hub Location Problem approaches, and computationally lightweight solutions delivering impactful results in minutes on standard hardware.

Dr. Nikolaj Van Omme CEO

AI / ML for Stability Prediction: A Case StudyAbzena

Discover how AI and machine learning transform pharmaceutical drug stability prediction. Learn about AI-driven tools that enhance early-stage decision-making by identifying molecular risks, degradation pathways, and structural vulnerabilities. Explore models like iTope-AI and PredictR for immunogenicity assessment, reducing time and cost while improving accuracy in drug development.

David Williamson CIO

Transformations for Manufacturing Industry using AgentforceSalesforce

Explore practical examples of overcoming manufacturing industry shortfalls with Salesforce Agentforce. Discover how autonomous AI agents drive intelligent behaviors, streamline operations, and enhance efficiency across manufacturing workflows. Learn real-world applications that transform traditional manufacturing processes through intelligent automation.

Ajay Kumar Kambadkone Suresh Head of AI Product Growth (Agentforce)

A Generative Chemical Language Model for Structure Elucidation of Organic CompoundsDeepCovalent

Introducing CLAMS (Chemical Language AI Model for Molecular Structure Elucidation), a revolutionary generative AI model predicting molecular structures from spectroscopic data. Utilizing hybrid ViT + ChemBERTa architecture trained on 129,000+ molecules, delivering rapid predictions in seconds with superior accuracy over traditional CASE systems.

Xiaofeng Tan Founder and CEO

Intelligent GxP Workflow Automation: Meet Zippy, Your Tireless AI Compliance CompanionxLM

Meet Zippy, your intelligent AI Subject Matter Expert trained in GxP compliance. Simply talk to Zippy to assign tasks—she analyzes requests, maps compliant workflows, documents action plans, secures approvals, and executes with precision. From employee onboarding to IT incident resolution, Zippy transforms pharmaceutical operations with intelligent automation.

Param Nagda Machine Learning Engineer

Navigating the FDA's Risk-Based Framework for AI in Drug, Biologics, and Device ManufacturingxLM

Navigate the FDA's comprehensive risk-based framework for AI implementation in pharmaceutical manufacturing. Learn regulatory requirements, validation methodologies, audit capabilities, and compliance strategies for AI in drug, biologics, and device manufacturing. Gain practical insights for maintaining regulatory excellence while leveraging AI innovation.

Nagesh Nama CEO

AI for Dentistry: End-to-end Smile DesignOKReach

Discover how AI transforms modern dentistry through fully digital, end-to-end smile design workflows. Experience the integration of facial analysis and intraoral scan data creating personalized 3D smile designs. Patients see hyper-realistic visualizations of their future smile on their first visit, enhancing communication, trust, and treatment acceptance.

Francisco Javier Gañán CEO

A Value Based Care Platform to Chronic Conditions PreventionNytia Health

Explore how advanced digital health platforms reshape preventive care and chronic condition management in workplaces. Learn about clinical validation, machine learning, and predictive analytics delivering actionable health insights. Discover how data from wearables, genetic testing, and lifestyle inputs proactively identify disease risks for early interventions.

Nouridine Boukari Founder and CEO

Navigating complex data challenges with AI where LLMs failBenchSci

Explore real-world limitations of large language models in specialized data environments like biomedical research. Learn when to supplement or replace LLMs with traditional ML methods, handling diverse data types, addressing domain-specific ambiguity, navigating regulatory requirements, and utilizing tools like DSPy for automated prompt engineering.

Ahmed Dawod Senior Machine Learning Engineer

Transforming Cancer Care: The Role of AI in Modern PathologyValar Labs

Discover how AI revolutionizes cancer diagnosis and treatment with unmatched accuracy, speed, and insight. Explore platforms like CHAI for high-precision tissue classification, AI biomarkers surpassing traditional scoring models, personalized scalable solutions, and PathChat - a generative AI copilot transforming pathologist interactions in digital pathology workflows.

Siddhant Shingi Machine Learning Engineer

The Sentra Approach: Using AI to solve the data problemSentra.io

Address critical data security questions: Where is our sensitive data? Who has access? Are we compliant? In a world where data is king and breaches are assumed, Sentra changes how organizations visualize, interact with, and protect their data. Learn how Sentra's AI solves the biggest problem in cybersecurity today: the data problem.

Alexis Varela Head of Channels & Partnerships

Case Study: ERP Continuous Validation ProjectSCA Pharma

SCA Pharma successfully executed a comprehensive, risk-based validation of its Sage X3 ERP system and custom Toolbox applications across its Windsor, CT and Little Rock, AR facilities. The project ensured all cGMP-related processes are fully documented, validated, and compliant with regulatory requirements, supporting robust operations in a GMP environment.

Thena Alagappan Head of Information Technology

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xTelliGent Two: Reimagining Compliance Through AI

Rated 4.5/5 from conference attendees.

Session Feedback Results

Ajay Kumar Kambadkone Suresh

Ashwin Kumar

David Williamson

Himanshu Jain

Nagesh Nama

Thena Alagappan

Ahmed Dawod

Alexis Varela

Anand Natarajan

Dr. Nikolaj Van Omme

Francisco Javier Gañán

Geetesh Talajia

Michael Stannius Aagren

Nouridine Boukari

Param Nagda

Shyam Patadia

Siddhant Shingi

Tanay Agrawal

Vaibhav Chimalgi

Xiaofeng Tan

xTelliGent Two Keynote

Laying the Foundation for a Successful AI Implementation

Intelligent Validation Agents: Generate URS and Execute Tests Autonomously

Revolutionizing Temperature Mapping and Environmental Monitoring with Autonomous Sensors

Hybridization of ML and OR: Case Studies

AI / ML for Stability Prediction: A Case Study

Case Study: ERP Continuous Validation Project

Transformations for Manufacturing Industry using Agentforce

Intelligent GxP Workflow Automation: Meet Zippy, Your Tireless AI Compliance Companion

A Generative Chemical Language Model for Structure Elucidation of Organic Compounds

Navigating the FDA's Risk-Based Framework for AI in Drug, Biologics, and Device Development

A Value Based Care Platform to Chronic Conditions Prevention

AI for Dentistry: End-to-end Smile Design

Navigating Complex Data Challenges with AI Where LLMs Fall

Transforming Cancer Care: The Role of AI in Modern Pathology

The Sentra Approach: Using AI to Solve the Data Problem

xTelliGent Two: Closing Remarks

Attendee Satisfaction

Speaker Expertise

Topic Clarity

Glimpse of the Conference

xTelliGent Two KeynoteAmgen

Intelligent Validation Agents: Generate URS and Execute Tests AutonomouslyxLM

Laying the Foundation for a Successful AI ImplementationUnibio

Revolutionizing Temperature Mapping and Environmental Monitoring with Autonomous IntelligencexLM

Hybridization of ML and OR: Case StudiesFunartech

AI / ML for Stability Prediction: A Case StudyAbzena

Transformations for Manufacturing Industry using AgentforceSalesforce

A Generative Chemical Language Model for Structure Elucidation of Organic CompoundsDeepCovalent

Intelligent GxP Workflow Automation: Meet Zippy, Your Tireless AI Compliance CompanionxLM

Navigating the FDA's Risk-Based Framework for AI in Drug, Biologics, and Device ManufacturingxLM

AI for Dentistry: End-to-end Smile DesignOKReach

A Value Based Care Platform to Chronic Conditions PreventionNytia Health

Navigating complex data challenges with AI where LLMs failBenchSci

Transforming Cancer Care: The Role of AI in Modern PathologyValar Labs

The Sentra Approach: Using AI to solve the data problemSentra.io

Case Study: ERP Continuous Validation ProjectSCA Pharma