InfoQ Homepage Presentations
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Simplifying Apache Geode with Spring Data
John Blum shows how to use the annotation-based configuration model to build an Apache Geode client-server application.
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Spring Driven Industrial IoT Utilizing Edge, Fog, and Cloud Computing
Mark Weislow and Barry Wood demo an end to end feedback workflow of Industrial Spring IoT.
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Fault Tolerance Is a Requirement, Not a Feature
Adar Danait and Lilian Ernest discuss best practices and recommendations for using Hystrix circuit breaker for microservices.
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When Do I Need a Blockchain? A Hands-on Comparison of Decentralized and Centralized Application Development
Michail Brynard explores the differences between apps and dapps and look at the architectural decisions behind some real-world decentralized applications, reviewing best practices and hybrid apps.
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Cultural Insights to Enable Success with Agile
Ash Sheikh discusses how culture can affect success with Agile, touching the qualities of a well-functioning organization and the existing barriers, providing tips and guidance to fix the culture.
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Machine Intelligence at Google Scale
Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.
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Fuelling the AI Revolution with Gaming
Alison Lowndes talks about the HW & SW that comprise NVIDIA's GPU computing platform for AI, across PC to data center, cloud to edge, training to inference.
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Tools to Put Deep Learning Models in Production
Sahil Dua discusses how Booking.com supports data scientists by making it easy to put their models in production, and how they optimize their model prediction infrastructure for latency or throughput.
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AI Panel
Panelists attempt to demystify AI and answer questions from the public.
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Disrupting the Banking Experience: Building a Mobile-Only Bank
Yann Del Rey and Teresa Ng provide some insight into how Starling Bank, a mobile-only bank, has built the mobile-banking apps and how they organize their teams to deliver new features, and more.
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Real-Time Data Analysis and ML for Fraud Prevention
Mikhail Kourjanski addresses the architectural approach towards the PayPal internally built real-time service platform, which delivers performance and quality of decisions.
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End-to-End ML without a Data Scientist
Holden Karau discusses how to train models, and how to serve them, including basic validation techniques, A/B tests, and the importance of keeping models up-to-date.
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