Dhagash Mehta
Employers on the program
- 2025–2026BlackRock8 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Neudata Data Summits
- STAC Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 3, 2026 | New York Winter Data Summit 2026 | Neudata Data Summits | speaker | The foundations of alpha: Why data quality matters as BlackRock | |
| Dec 3, 2026 | New York Winter Data Summit 2026 | Neudata Data Summits | speaker | Using AI to value the hard-to-value in private markets as BlackRock | |
| Sep 17, 2026 | New York Traditional and Market Data Summit 2026 | Neudata Data Summits | speaker | Examining the impact of data quality control on AI as BlackRock | |
| Jun 11, 2026 | New York Summer Data Summit 2026 | Neudata Data Summits | speaker | AI winners and losers? as BlackRock | |
| Jun 11, 2026 | New York Summer Data Summit 2026 | Neudata Data Summits | speaker | The data arms race and disruptive agentic AI as BlackRock | |
| May 20, 2026 | STAC Summit New York, Spring 2026 | STAC Summit | speaker | AlphaAgents: Large Language Model based multi-agents for equity portfolio construction as BlackRock The field of artificial intelligence (AI) agents is evolving rapidly, driven by the capabilities of Large Language Models (LLMs) to autonomously perform and…Show lessThe field of artificial intelligence (AI) agents is evolving rapidly, driven by the capabilities of Large Language Models (LLMs) to autonomously perform and refine tasks with human-like efficiency and adaptability. In this context, multi-agent collaboration has emerged as a promising approach, enabling multiple AI agents to work together to solve complex challenges. | |
| May 20, 2026 | STAC Summit New York, Spring 2026 | STAC Summit | panelist | Scaling AI in the enterprise as BlackRock $2d | |
| May 13, 2025 | STAC Summit New York, Spring 2025 | STAC Summit | speaker | How to Choose a Threshold for an Evaluation Metric for Large Language Models as Blackrock This talk will focus on the critical task of reliably monitoring and evaluating large language models (LLMs). While many evaluation metrics exist, there is a…Show lessThis talk will focus on the critical task of reliably monitoring and evaluating large language models (LLMs). While many evaluation metrics exist, there is a lack of research on defining robust thresholds for these metrics, which can have serious implications during LLM deployment. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Andrew Dassori | 3 | 1 | 2026 |
| Farah Ruthnam-Sandys | 3 | — | 2026 |
| Jamie Stewart | 3 | — | 2026 |
| Michael Hejtmanek | 2 | 1 | 2026 |
| Sarkis Agaian | 2 | 1 | 2026 |
| Yuyu Fan | 2 | 1 | 2026 |
| Adam Sherer | 2 | — | 2026 |
| Amrita Tiwari | 2 | — | 2026 |
| Andrea Suardi | 2 | — | 2026 |
| Carmen Li | 2 | — | 2026 |
| Eliza Raphael | 2 | — | 2026 |
| Jack Gidding | 2 | — | 2026 |
| James Corcoran | 2 | — | 2026 |
| James Lupton | 2 | — | 2026 |
| John Bauer | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.