Jorge Castans Garcia
Employers on the program
- 2024–2026Amazon Web Services3 talks
Upcoming appearances
Who’s booked ahead? →Event dates shown; only events starting today or later count. 1 upcoming event.
-
AWS re:Invent 2026 – · Las Vegas, United States
- Evaluating AI agents for production in financial services chalk talk Program source ↗
No upcoming appearances are currently recorded.
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
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Evaluating AI agents for production in financial services as Amazon Web Services Financial institutions building AI agents face a core challenge: how do you prove an agent is reliable enough for production when regulators demand…Show lessFinancial institutions building AI agents face a core challenge: how do you prove an agent is reliable enough for production when regulators demand explainability and consistency? How do you reliably detect when a production agent's behavior drifts? | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | From pilots to production: LLMOps for financial services as Amazon Web Services Financial institutions are moving from generative AI pilots to production, but scaling responsibly requires more than traditional MLOps. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Amazon Bedrock Agents: Revolutionize data analysis & customer service as Amazon Web Services Analyzing complex datasets can be time-consuming and resource intensive. In this workshop, learn how to move from analysis to action faster and with minimal…Show lessAnalyzing complex datasets can be time-consuming and resource intensive. In this workshop, learn how to move from analysis to action faster and with minimal manual effort. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Build a generative AI assistant to quickly derive insights and value [REPEAT]Financial institutions interact with a large volume of complex documents every day. But deriving accurate insights from annual reports, regulatory filings,…Show lessFinancial institutions interact with a large volume of complex documents every day. But deriving accurate insights from annual reports, regulatory filings, insurance policies, and loan applications is a largely manual and time-consuming effort. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Arnav Khare | 4 | 3 | 2026 |
| Aaron Chen | 4 | — | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Pandey | 4 | — | 2026 |
| Abhishek Sharma | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Addy Upreti | 4 | — | 2026 |
| Aditi Garg | 4 | — | 2026 |
| Aditya Challa | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alak Eswaradass | 4 | — | 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.