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  • Even squirrels and storms can knock out power, and that risk adds up for utilities. *Sapere Consulting* partnered with *Chelan ...
  • Same model. Same compute. Same number of tasks. Fine-tuning on low quality tasks improved the base model by 1%.
  • Learn how safety tooling supports risk-free AI tuning of Postgres. Mohsin Ejaz (DBtune) discusses this in his talk “Building safety ...
  • A single regulatory signature in Washington just rendered your multi-million dollar AI pipeline obsolete. You will be able to design ...
  • Introducing Omnigraph - an open source, schema-first, lakehouse-native context graph engine built on Rust, Lance, Apache ...

In-Depth Information on Avoiding Bad Database Surprises Simulation And Scalability Steven Lott

PyData DC 2018 There are many stories of developers creating Benedikt talks to Andrew Atkinson about different types of Talk by Stephen Dolan (Jane Street), at the VeTSS Annual Conference, 12th May 2026, Royal Academy of Engineering, London, ... What happens when one of the world's leading financial markets infrastructure and

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Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Database constraints with Andrew Atkinson
Messy Data, Fastnet and Resilient Forecasting: Scott Hosking at AI for Science
Stephen Dolan, "Types for more than memory safety in OxCaml",  VeTSS Annual Conference 2026
From data to decisions: how LSEG is scaling trusted AI
Utilizing Decision Modeling for Asset Management to Achieve Key Reliability Metrics
Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel
Building safety tooling for risk-free AI tuning of Postgres | POSETTE: An Event for Postgres 2026
[RISK] Why Fable 5 Export Controls Will Break Your AI Strategy | #NEWIT
in 2026, we can't afford schemaless
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Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott

Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott

PyData DC 2018 There are many stories of developers creating

Database constraints with Andrew Atkinson

Database constraints with Andrew Atkinson

Benedikt talks to Andrew Atkinson about different types of

Sponsored
Messy Data, Fastnet and Resilient Forecasting: Scott Hosking at AI for Science

Messy Data, Fastnet and Resilient Forecasting: Scott Hosking at AI for Science

Messy

Stephen Dolan, "Types for more than memory safety in OxCaml",  VeTSS Annual Conference 2026

Stephen Dolan, "Types for more than memory safety in OxCaml", VeTSS Annual Conference 2026

Talk by Stephen Dolan (Jane Street), at the VeTSS Annual Conference, 12th May 2026, Royal Academy of Engineering, London, ...

From data to decisions: how LSEG is scaling trusted AI

From data to decisions: how LSEG is scaling trusted AI

What happens when one of the world's leading financial markets infrastructure and

Sponsored
Utilizing Decision Modeling for Asset Management to Achieve Key Reliability Metrics

Utilizing Decision Modeling for Asset Management to Achieve Key Reliability Metrics

Even squirrels and storms can knock out power, and that risk adds up for utilities. *Sapere Consulting* partnered with *Chelan ...

Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

Same model. Same compute. Same number of tasks. Fine-tuning on low quality tasks improved the base model by 1%.

Building safety tooling for risk-free AI tuning of Postgres | POSETTE: An Event for Postgres 2026

Building safety tooling for risk-free AI tuning of Postgres | POSETTE: An Event for Postgres 2026

Learn how safety tooling supports risk-free AI tuning of Postgres. Mohsin Ejaz (DBtune) discusses this in his talk “Building safety ...

[RISK] Why Fable 5 Export Controls Will Break Your AI Strategy | #NEWIT

[RISK] Why Fable 5 Export Controls Will Break Your AI Strategy | #NEWIT

A single regulatory signature in Washington just rendered your multi-million dollar AI pipeline obsolete. You will be able to design ...

in 2026, we can't afford schemaless

in 2026, we can't afford schemaless

Introducing Omnigraph - an open source, schema-first, lakehouse-native context graph engine built on Rust, Lance, Apache ...

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