Join Quantiphi’s AI Qonfluence and experience the magic
of applying science to drive innovative solutions
Discover how next generation AI is reshaping industries at Quantiphi's AI Qonfluence, our premier virtual symposium showcasing cutting-edge research capabilities.
Who Should Attend?
AI Qonfluence is designed to unlock the full potential of AI. Whether you're a visionary C-suite executive charting the company's course, a strategic business leader seeking a competitive edge, or a hands-on AI/ML practitioner eager to build groundbreaking solutions, this event caters to you. From top-tier decision-makers to domain experts and product innovators, AI Qonfluence offers invaluable knowledge to propel your organization into the future.
Register for Free AccessAgendas
Day 1 (8th Oct)
Day 2 (9th Oct)
Session Title | Quantiphi Speakers | Time | |
---|---|---|---|
Keynote Join our co-founder in unveiling cutting-edge innovations and strategic insights in a compelling keynote session. |
Asif Hasan Co- Founder |
11 AM ET/ 8 AM PST/ 8:30 PM IST |
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Agentic Workflows for Knowledge Worker Productivity Explore the power of Agentic Workflows with Large Language Models in our session, focusing on techniques like Advanced Retrieval Augmented Generation, Query Decomposition, Task Planning and real-time tool usage. |
Gopalakrishnan Saisubramaniam Research Scientist Muneeswaran I Research Engineer Goutham Vignesh S Research Engineer |
11:30 AM ET/ 8:30 AM PST/ 9 PM IST |
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Intelligent Document Processing with Multimodal AI Explore how Multimodal AI systems are revolutionizing the extraction of insights from complex documents and uncover the latest advancements in OCR, layout-based, and GenAI technologies. |
Dr. Harikrishnan P M Senior Research Engineer |
12:30 PM ET/ 9:30 AM PST/ 10 PM IST |
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Integrating Responsible AI at an Enterprise Level Explore Responsible AI and its implementation in enterprises, focusing on core principles, Impact Assessment, and integration strategies for ethical and accountable AI systems. |
Himanshi Agrawal Senior Machine Learning Engineer Nim Sherpa Senior Business Analyst |
1:00 PM ET/ 10:00 AM PST/ 10:30 PM IST |
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Combining Knowledge-Graphs & LLMs for Code Discover how Large Language Models (LLMs) are revolutionizing structured data querying and how Knowledge Graphs boost their data interpretation and code-generation abilities. |
Mihir Athale Research Engineer Dr. Zishan Ahmad Senior Research Engineer |
1:30 PM ET/ 10:30 AM PST/ 11 PM IST |
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Building Stateful Agentic Workflows An overview of Agentic workflows and why it’s required, and essential aspects of building stateful agentic workflows. |
Prabhudatta Das Principal Architect |
2:30 PM ET/ 11:30 AM PST/ 12:00 AM IST |
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Panel discussion on Revolutionizing Workflows with Agentic Systems and Generative AI In today’s rapidly evolving technological landscape, organizations are continually seeking innovative ways to enhance efficiency, adaptability, and decision-making within their workflows. The emergence of agentic workflows—integrating autonomous agents, including advanced Generative AI and Large Language Models (LLMs)—is at the forefront of this transformation. This panel brings together leading experts to explore how these cutting-edge technologies are redefining the future of work. |
Dr. Dagnachew Birru Head of R&D, Quantiphi Timothy Werth CIO, Purdue University Global Dr. Hongyin Luo Research Scientist, MIT/CSAIL Kanishk Mehta Product Leader, Quantiphi |
3:00 PM ET/ 12 PM PST/ 12:30 AM IST |
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Session Title | Quantiphi Speakers | Time | |
---|---|---|---|
Generative AI Accelerated Small Molecule Drug Discovery and Optimization Small molecule optimization for protein targets using protein information for small molecule discovery. |
Tehemton Khairabadi Senior Research Engineer |
11 AM ET/ 8 AM PST/ 8:30 PM IST |
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Enhancing and validating AlphaFold predictions with Molecular Dynamics Using MD downstream of AlphaFold to guide drug discovery. |
Vishal Pagidipally Principal Architect |
12:00 PM ET/ 9:00 AM PST/ 09:30 PM IST |
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Generative-AI for Pharmacovigilance Discover how Large Language Models (LLMs) are transforming pharmacovigilance with advanced drug safety monitoring and automated analysis. |
Sai Prakash MV Research Engineer |
12:30 PM ET/ 9:30 AM PST/ 10 PM IST |
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Digital Animal Replacement Technology (DART) Specifically designed to predict drug safety and efficacy, with a particular focus on demonstrating bioequivalence and biosimilarity. |
Sriram Natarajan Architect - Machine Learning |
1:00 PM ET/ 10:00 AM PST/ 10:30 PM IST |
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Clinical Document Management Template agnostic document processing for clinical document management using Multimodal LLMs. |
Sriram Natarajan Architect - Machine Learning Narendrakumar Babulal Kumawat Senior Machine Learning Engineer |
1:30 PM ET/ 10:30 AM PST/ 11 PM IST |
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Discover the minds behind the magic at AI Qonfluence!
Learn from leaders of MIT, Prude University, and Quantiphi as
they share their expertise and insights on the future of AI.