CORPORATE TALK SERIES

Sarah Nagy
(Founder/CEO , Seek AI)
Bio: A former quant and data scientist, Sarah Nagy founded an analytics automation startup, Seek AI, in September 2021. Sarah most recently led the consumer data team at Citadel’s Ashler Capital, and prior to Citadel, led the quant arms at two successfully exited startups and developed algorithmic trading strategies at ITG. Sarah has a Master in Finance degree from Princeton and dual bachelor’s degrees in Astrophysics and Business Economics from UCLA.
Title of talk: Reimagining Data and Analytics in the AI Age
Abstract: A session documenting the data and analytics boom of the 2010s and where the dream succeeded and fell short. The session will then reframe the dream of data and analytics in the context of AI, and why it is poised to be one of the most important and impactful use cases for businesses in the coming years.

Matthew Webster
(Founder/CEO/CISO, Cyvergence)
Bio: Matthew Webster is a cybersecurity leader bridging innovation, compliance, and executive accountability. He began his IT career in 1997, advancing into federal cybersecurity at the Centers for Medicare and Medicaid Services, mastering frameworks like NIST SP 800-53, IRS 1075, and SAS 70. He later served as CISO at Healthix, building a security program from the ground up with SOC 2, HITRUST, and MARS-E.
Abstract: Artificial Intelligence is reshaping industries, redefining decision-making, and driving innovation at unprecedented speed—but harnessing its full potential requires careful design and oversight. While AI promises transformational impact, 95% of corporate AI initiatives fail to deliver measurable ROI, and real-world examples, including legal cases involving AI hallucinations, highlight the risks of misuse or overreliance.
- The overestimation of AI’s abilities and the impact on the corporate world
- A sampling of major AI blunders
- Cybersecurity threats and opportunities enhanced by AI.
- Strategies for responsible AI integration, human-AI collaboration, and maximizing tangible business value.

Raphaelle d’Ornano
( Founder , Decoding Discontinuity)
Bio: Raphaëlle d’Ornano is CEO and founder of Decoding Discontinuity, a strategic advisory and investment platform focused on the structural impact of generative and agentic AI. Decoding Discontinuity develops proprietary frameworks for analyzing how companies are positioned to adapt to generative and agentic AI. Her Durable Growth Moat methodology assesses whether competitive advantages endure through generative and agentic AI discontinuities by examining structural fragility, control layer integrity, and economic resilience.
These frameworks are applied by the financial and strategic advisory firm she founded, D’Ornano + Co., to help clients develop long-term value, ensuring durability through architectural resilience and financial adaptability. This approach guides institutional investors and executive teams through strategic repositioning as AI restructures value creation.
Her pioneering work at the intersection of the architectural shifts catalyzed by AI and the financial sector has made her a leading voice on the economic and strategic aspects of generative and agentic AI. Her Decoding Discontinuity newsletter ranks among the top 80 technology newsletters on Substack.
With over a decade of experience in complex financial analysis and strategic advisory across VC, growth, and PE, Raphaëlle bridges technological understanding with capital markets expertise. Her insights have informed more than $50B in transactions while helping leadership teams navigate unprecedented architectural change.
Raphaëlle lives in New York with her husband and their two children.
Title of talk: The Agentic Era – From AI Agents to Agentic AI : What New Rules in Architecture and Value
Abstract: We will explore the paradigm change brought by Agentic AI systems, and its recent accelerations, and explore the implications at architecture and business model level.
Important Deadlines
| Full Paper Submission: | 9th August, 2026 |
| Acceptance Notification: | 26th August, 2026 |
| Final Paper Submission: | 30th August, 2026 |
| Early Bird Registration: | 27th August, 2026 |
| Presentation Submission: | 6th September, 2026 |
| Conference: | 7 - 9 October, 2026 |
| Full Paper Submission: | 1st September 2025 |
| Acceptance Notification: | 15th September 2025 |
| Final Paper Submission: | 29th September 2025 |
| Early Bird Registration | 22th September 2025 |
| Presentation Submission: | 6th October 2025 |
| Conference: | 22 - 24 October 2025 |
Previous Conference-
Sister Conference-
Announcements-
- Best Paper Award will be given for each track.
- Conference Record no- 67449