InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Open Machine Learning: ML Trends in Open Science and Open Source
Omar Sanseviero discusses the trends in the ML ecosystem for Open Science and Open Source, the power of creating interactive demos using Open Source libraries and BigScience.
/presentations/open-ml-big-science/en/mediumimage/Omar Sanseviero-m-1679039522690.jpg)
-
Taming the Data Mess, How Not to Be Overwhelmed by the Data Landscape
Ismaël Mejía reviews the current data landscape and discusses both technical and organizational ideas to avoid being overwhelmed by the current lack of consolidation of the data engineering world.
/presentations/review-data-landscape/en/mediumimage/ismael-mejia-m-1679039656238.jpg)
-
Modern API Development and Deployment, from API Gateways to Sidecars
Matt Turner shows a modern approach to designing, implementing, and documenting APIs using dedicated tooling in a decentralised environment that has all the good parts of an api-gateway solution.
/presentations/api-design-implement-document/en/mediumimage/matt-turner-m-1677450386303.jpg)
-
Data Versioning at Scale: Chaos and Chaos Management
Einat Orr discusses several technologies that version large data sets, the use cases they support and the technology developed to best support those use cases.
/presentations/data-versioning-scale/en/mediumimage/Einat Orr-m-1676268688977.jpg)
-
Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud
Kai Waehner explores different architectures and their trade-offs for transactional and analytical workloads. Real-world examples include financial services, retail, and the automotive industry.
/presentations/data-streams-architecture/en/mediumimage/Kai_Waehner-m-1675025271514.jpg)
-
Securing Microservices: Preventing Vulnerability Traversal
Stefania Chaplin is looking at OWASP recommendations and Kubernetes best practices to find out more about how to secure microservices and reduce vulnerability traversal.
/presentations/secure-microservices/en/mediumimage/Stefania Chaplin-m-1674204811056.jpg)
-
The Next Decade of Software is about Climate - What is the Role of ML?
Sara Bergman introduces the field of green software engineering, showing options to estimate the carbon footprint and discussing ideas on how to make Machine Learning greener.
/presentations/ml-green-software/en/mediumimage/sara-bergman-m-1669106623830.jpg)
-
How to Operationalize Transformer Models on the Edge
Cassie Breviu discusses different model deployment architectures, how to deploy with edge devices and inference in different programming languages.
/presentations/models-edge/en/mediumimage/cassie-beviu-m-1668441251894.jpg)
-
Modern Data Pipelines in AdTech—Life in the Trenches
Roksolana Diachuk discusses how to use modern data pipelines for reporting and analytics as well as the case of historical data reprocessing in AdTech.
/presentations/data-pipelines-adtech/en/mediumimage/roksolana-m-1668076313804.jpg)
-
Streaming-First Infrastructure for Real-Time ML
Chip Huyen discusses the state of continual learning for ML, its motivations, challenges, and possible solutions.
/presentations/ml-continuous-learning/en/mediumimage/Chip Huyen-m-1665738496241.jpg)
-
What You Should Know before Deploying ML in Production
Francesca Lazzeri shares an overview of the most popular MLOps tools and best practices, and presents a set of tips and tricks useful before deploying a solution in production.
/presentations/ml-production-tips/en/mediumimage/francesca-lazzeri-m-1665124039285.jpg)
-
GraphQL Caching on the Edge
Max Stoiber discusses why and how to edge cache production GraphQL APIs at scale.
/presentations/graphql-cache-edge/en/mediumimage/Max Stoiber-m-1665124544382.jpg)
QCon London 2023: Level-up on emerging software trends.
Don’t miss your opportunity to learn about key emerging software trends from senior software practitioners. Discover case studies, insights, real-world best practices and solutions in software development & tech leadership.