InfoQ Homepage Programming Content on InfoQ
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Building Hypermedia Clients
Todd Brackley demonstrates provisioning a network of data through a JavaScript client to show that there is no magic and talks through some of the major design issues.
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Disciplined Agile Business Agility - One Size Does Not Fit All
Scott Ambler introduces the DA framework, describing strategies at the enterprise level currently being applied in organizations around the world.
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Building Reliability in an Unreliable World
Greg Murphy describes how GameSparks has designed their platform to be tolerant of many things: unreliable and slow internet connectivity, cloud resources that can fail without warning, and more.
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Building and Trusting a Cloud Bank
Greg Hawkins discusses how Starling Bank, part of the new movement in FinTech challenger banks, is innovating while addressing the need for resilience in a world where failure is everywhere.
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AI from an Investment Perspective
The panelists discuss AI from an investment perspective, the challenges, the risks, trends, the role of Deep Learning, successful AI use cases, and more.
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Machine Learning at Scale
Aditya Kalro discusses using large-scale data for Machine Learning (ML) research and some of the tools Facebook uses to manage the entire process of training, testing, and deploying ML models.
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Straggler Free Data Processing in Cloud Dataflow
Eugene Kirpichov describes the theory and practice behind Cloud Dataflow's approach to straggler elimination, and the associated non-obvious challenges, benefits, and implications of the technique.
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Extreme Programming Meets Real-time Data
Tom Johnson and Gel Goldsby talk about scaling problems they encountered at Unruly, and where extreme programming values led them.
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AI in Medicine
Anthony Chang presents the current status of AI in medicine and the foreseeable future in front of it.
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Goodbye PrintGCDetails... and Other JDK 9 Changes!
Tony Printezis talks about the major changes and improvements coming in JDK 9 that will affect (but also help) anyone who's interested in Java performance monitoring, profiling, and tuning.
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Products and Prototypes with Keras
Micha Gorelick shows how to build a working product with Keras, a high-level deep learning framework, discussing design decisions, and demonstrating how to train and deploy a model.
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Our Concurrent Past; Our Distributed Future
Joe Duffy talks about the concurrency's explosion onto the mainstream over the past 15 years and attempts to predict what lies ahead for distributed programming, from now til 15 years into the future.
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