InfoQ Homepage QCon Software Development Conference Content on InfoQ
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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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Deep Learning for Science
Prabhat discusses machine learning's impact on climatology, astronomy, cosmology, neuroscience, genomics, and high-energy physics, and the future of AI in powering scientific discoveries.
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Liquidity Modeling in Real Estate Using Survival Analysis
Xinlu Huang and David Lundgren discuss hazard and survival modeling, metrics, and data censoring, describing how Opendoor uses these models to estimate holding times for homes and mitigate risk.
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Tech in Banking Panel
The panelists discuss some of the challenges of architecting systems for banking.
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FlexiTime Token: Building dApps with Ethereum
Alex Batlin talks about dApp in Ethereum, what it is and how it can help us track pre-bought time as tokens on blockchain.
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Microservices: API Re-Platforming @Expedia
Mariano Albera describes how the Expedia Affiliate Network unit underwent a massive replatforming project that moved from an on-prem monolith to a cloud-based microservice architecture.
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Actors or Not: Async Event Architectures
Yaroslav Tkachenko discusses two approaches to an asynchronous event-based architecture: a "classic" style protocol and an actor-based approach, exploring benefits, challenges, and lessons learned.
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CRDTs and the Quest for Distributed Consistency
Martin Kleppmann explores how to ensure data consistency in distributed systems, especially in systems that don't have an authoritative leader, and peer-to-peer communication.