Thank You for Attending AI Qonfluence 2024!
Your presence made this event a resounding success. Let’s keep pushing the boundaries of AI innovation!
Missed the virtual symposium? Explore our session recordings to catch up.
Get in touch with our experts to apply the magic of science in transforming your organization.
Watch the Recordings to Revisit AI Qonfluence 2024
Day 1 (8th Oct)
Day 2 (9th Oct)
| Session Title | Quantiphi Speakers | Links | |
|---|---|---|---|
| Keynote Join our co-founder in unveiling cutting-edge innovations and strategic insights in a compelling keynote session. |
Asif Hasan Co- Founder |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording |
| Session Title | Presenter(s) | Links | |
|---|---|---|---|
| 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 |
View Recording | |
| Enhancing and validating AlphaFold predictions with Molecular Dynamics Using MD downstream of AlphaFold to guide drug discovery. |
Vishal Pagidipally Principal Architect |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording | |
| 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 |
View Recording |
The Minds Behind the Magic at AI Qonfluence
We thank the leaders from MIT, Purdue University, and Quantiphi who brought a wealth of expertise and insights into the future of AI at the symposium.
Asif Hasan
Co-Founder
Dr. Dagnachew Birru
Global Head of R&D
Timothy Werth
CIO, Purdue University Global
Dr. Hongyin Luo
Research Scientist, MIT/CSAIL
Kanishk Mehta
Product Leader
Vishal Vaddina
Principal Architect - R&D
Vishal Pagidipally
Principal Architect - R&D
Dr. Harikrishnan P M
Senior Research Engineer
Ganesh Parab
Machine Learning Engineer
Gopalakrishnan Saisubramaniam
Research Scientist
Himanshi Agrawal
Senior Machine Learning Engineer
Mihir Athale
Research Engineer
Prabhudatta Das
Principal Architect
Sai Prakash MV
Research Engineer
Sriram Natarajan
Architect - Machine Learning
Tehemton K Khairabadi
Senior Research Engineer
Muneeswaran I
Research Engineer
Narendrakumar Babulal Kumawat
Senior Machine Learning Engineer
Nim Sherpa
Senior Business Analyst
Dr. Zishan Ahmad
Senior Research Engineer
Goutham Vignesh S
Research Engineer
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