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World Congress 2026 North America • Sep 25, 2026 • Session details

How LinkedIn Turns AI Breakthroughs into member and customer value

Erran Berger , Frederic Lardinois

How does LinkedIn run massive AI tasks in 20 milliseconds while keeping compute costs flat? Discover the full-stack optimizations and distillation pipelines driving their 50x efficiency gains.

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#1 about 4 min

Key ingredients for differentiated applied AI breakthroughs

Leveraging unique data assets, model efficiency, and deep user understanding separates successful applied AI from generic models.

#2 about 7 min

Building modern AI infrastructure in custom data centers

Pausing the migration to public cloud allowed for the creation of a modern, fresh technology stack tailored for large language models.

#3 about 4 min

Optimizing AI infrastructure from applications to GPU kernels

Designing systems end-to-end enables massive efficiency improvements for generative recommenders and large sequence models.

#4 about 4 min

Creating a repeatable distillation process for small language models

Pruning large teacher models into specialized smaller language models meets strict latency budgets without sacrificing quality.

#5 about 4 min

Managing the operational burden of task-specific models

Using reinforcement learning and ambient agents to unify numerous task-specific models reduces the maintenance burden of training pipelines.

#6 about 3 min

Improving enterprise and developer productivity with AI agents

Implementing agentic tools like hiring assistants and command-line interfaces substantially increases operational throughput and developer velocity.

#7 about 7 min

Aligning AI feature deployment with fixed compute budgets

Keeping non-GPU compute flat requires granular telemetry to tie individual product features directly to hardware costs.

#8 about 3 min

Implementing compute telemetry and repeatable deployment loops

Establishing cost monitoring early and creating a standard model distillation pipeline secures long-term architectural scalability.

Matching moments

3:22 min

Evaluating advanced artificial intelligence platforms for daily recruitment

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

4:25 min

Leveraging AI for development workflows and collaboration

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

4:48 min

Leveraging consumer AI tools for daily personal productivity

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:59 min

Leveraging generative AI ecosystems for startup innovation

Paige Bailey Paige Bailey · World Congress 2026 North America

3:14 min

The historical foundation of modern AI use cases

Alejandro Saucedo Alejandro Saucedo · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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