# Machine Learning — Sylvain Kalache

URL: https://www.sylvainkalache.com/topics/machine-learning

My writing, talks, podcasts, and projects about Machine Learning.

## Selected work

- [Anthony Alcaraz — GTM Agentic Engineering Lead at AWS](https://www.sylvainkalache.com/content/anthony-alcaraz-gtm-agentic-engineering-lead-at-aws.md) (2026-07-21; Humans of Reliability): Your AI agents are lost — why context engineering and knowledge graphs give agents the structure they need for retrieval, memory, planning, reasoning, and learning from business outcomes.
- [Maria Vechtomova — Co-founder at Cauchy](https://www.sylvainkalache.com/content/maria-vechtomova-co-founder-at-cauchy.md) (2026-05-14; Humans of Reliability): LLM observability — how monitoring principles from MLOps apply to large language model applications, the gaps that went overlooked for nine years, and best practices for observing AI systems.
- [Tomás Hernando Koffman — Co-founder at Not Diamond](https://www.sylvainkalache.com/content/tom-s-hernando-koffman-co-founder-at-not-diamond.md) (2025-12-23; Humans of Reliability): 99%+ accuracy on a moving target — model deprecation, reliability with LLMs, and treating prompts as architectural components.
- [Frontiers of AI: Building with Rootly AI, Zscaler, CircleCI, Fireworks AI & Google DeepMind](https://www.sylvainkalache.com/content/frontiers-of-ai-building-with-rootly-ai-zscaler-circleci-fireworks-ai-google-deepmind.md) (2025-07-25; Rootly AI Labs): Panel at Google HQ with 300+ attendees exploring real-world Gemini models, reinforcement learning, next-gen agent systems, and AI reliability.
- [With AI Now a Commodity, the Speed of Iteration Is the Next Challenge](https://www.sylvainkalache.com/content/with-ai-now-a-commodity-the-speed-of-iteration-is-the-next-challenge.md) (2021-06-08; The New Stack): AI models are becoming commoditized. The competitive advantage now lies in how fast teams can iterate on data, features, and deployment pipelines.
- [For companies that use ML, labeled data is the key differentiator](https://www.sylvainkalache.com/content/for-companies-that-use-ml-labeled-data-is-the-key-differentiator.md) (2021-05-18; TechCrunch): Why Tesla leads on ADAS — and what it teaches every company about the strategic value of training data, annotation pipelines, and the $6B labeling market.
- [What Is MLOps?](https://www.sylvainkalache.com/content/what-is-mlops.md) (2021-03-19; The New Stack): A primer on MLOps — the practices, tools, and culture for managing machine learning models in production at scale.
- [The Future of Code Quality, Security, and Agility Lies in Machine Learning](https://www.sylvainkalache.com/content/the-future-of-code-quality-security-and-agility-lies-in-machine-learning.md) (2019-02-01; CIO): How machine learning is transforming code quality assurance, security scanning, and agile development workflows.
- [The New Generation of Artificial Intelligence Jobs](https://www.sylvainkalache.com/content/the-new-generation-of-artificial-intelligence-jobs.md) (2018-09-21; The New York Times): How AI is creating entirely new job categories and what skills workers need to fill them.
- [Automated Management of a Distributed Computing System](https://www.sylvainkalache.com/content/automated-management-of-a-distributed-computing-system.md) (2017-06-06; US Patent Office): US Patent (US9674031B2) — A machine learning-powered self-healing infrastructure that monitors distributed systems, detects anomalies, and automatically applies remedies based on historical incident data. Co-designed at LinkedIn.
- [Why education should become more like artificial intelligence](https://www.sylvainkalache.com/content/why-education-should-become-more-like-artificial-intelligence.md) (2016-12-05; TechCrunch): The case for applying AI-driven personalization to education — adaptive learning paths, competency-based assessment, and project-driven curricula.

[All work](https://www.sylvainkalache.com/index.md)