InfoQ Homepage Enterprise Architecture Content on InfoQ
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Business Agility – Increasing Your Organization’s Competitiveness
Dean Latchana addresses how organizations can handle market pressure and opportunity, covering closing the gap between vision and execution, determining strategic fit with the vision, and others.
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Practical DDD: Bounded Contexts + Events => Microservices
Indu Alagarsamy talks about the intersection of Domain Driven Design as a software discipline with Messaging as a technology counterpart.
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Automating Machine Learning and Deep Learning Workflows
Mourad Mourafiq discusses automating ML workflows with the help of Polyaxon, an open source platform built on Kubernetes, to make machine learning reproducible, scalable, and portable.
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MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks.
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Ludwig: A Code-Free Deep Learning Toolbox
Piero Molino introduces Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code.
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A Journey into Intel’s SGX
Jessie Frazelle discusses Intel's SGX technology. Frazelle also covers an overview of computer architecture, detailing one hardware version, its flaws and changes to come in a future version.
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Airbnb’s Great Migration: Building Services at Scale
Jessica Tai recaps her QCon SF 2018 “Great Migration” presentation then continues the story with a focus on how Airbnb is building, operating, and scaling its expanding network of services.
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Global Event Streams Made Simple with Spring Cloud Stream & Cloud Pub/Sub
Artem Bilan, Kir Titievsky discuss the Google Cloud Pub/Sub binder for Spring Cloud Stream.
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Point-to-Point Messaging Architecture - The Reactive Endgame
Ryland Degnan, Stephane Maldini explore the current state of messaging architecture and provide an R&D perspective on the future of distributed systems.
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Intel's Cloud-Native Transformation
Liel Chayoun and Roi Ezra discuss Intel’s transition to cloud-native and microservices.
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Reasoning about Uncertainty at Scale
Max Livingston presents a case study of using Bayesian modelling and inference to directly model behavior of aircraft arrivals and departures, focusing on the uncertainty in those predictions.
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Solving Business Problems with AI
The panelists discuss using AI to solve business problems.
