Salma Bakouk
Employers on the program
- 2025–2026Sifflet2 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
- Big Data LDN
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Data Entropy in the Age of Agents as Sifflet Every data estate drifts. Schemas change, definitions fork, freshness slips, and the gap between what the data says and what its consumers believe widens over…Show lessEvery data estate drifts. Schemas change, definitions fork, freshness slips, and the gap between what the data says and what its consumers believe widens over time. For the last decade we have managed that gap with people. Someone notices the number looks wrong, asks in Slack, and the correction happens before the decision does. Agents remove that person. They read the table, decide, and act, on a loop, with no pause where a human could have caught it. The drift is the same drift. What changed is that there is no longer anything absorbing it. This panel looks at what that means in practice. Who is accountable when an agent acts on a broken table. Whether contracts defined on the asset are enough, or whether each consumer needs its own tolerance. And what a reliability check looks like when it has to run before the action rather than after it. | |
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | speaker | No Trust, No AI: Why Metadata Is the New Foundation Model as Sifflet AI is only as strong as the data beneath it. Yet most enterprises still rely on fragmented tools and reactive processes that undermine trust. The result:…Show lessAI is only as strong as the data beneath it. Yet most enterprises still rely on fragmented tools and reactive processes that undermine trust. The result: innovation that looks impressive in demos but collapses under real-world pressure. In this keynote, Salma Bakouk, CEO of Sifflet, argues that metadata, not models, is the true foundation for the AI era. By building a metadata control plane enriched with agentic observability, enterprises can move from reactive patchwork to proactive intelligence. In this keynote, she offers a provocative vision of where the market is heading, what traditional approaches are getting wrong, and why the winners of the AI economy will be those who treat trust not as insurance, but as infrastructure. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Adam Segal | 2 | — | 2026 |
| Adam Sroka | 2 | — | 2026 |
| Agrim Manchanda | 2 | — | 2026 |
| Alicia Heavisides | 2 | — | 2026 |
| Anais Ghelfi | 2 | — | 2026 |
| Andrea Isoni | 2 | — | 2026 |
| Bas Geerdink | 2 | — | 2026 |
| Benjamin Field | 2 | — | 2026 |
| Cali Wood | 2 | — | 2026 |
| Cyril Sonnefraud | 2 | — | 2026 |
| Dan Keeley | 2 | — | 2026 |
| Darren Wood | 2 | — | 2026 |
| Dean Farrow | 2 | — | 2026 |
| Don Murray | 2 | — | 2026 |
| Dr Holly François | 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.