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Letting change and uncertainty advance your software architecture

CircleCI

How do we design our systems in a manner that can adapt and change to things that don’t even exist when we start building it? I would posit that this type of description creates a false sense of finality that doesn’t actually exist in most real-world systems. Design architecture to solve problems.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

As little as 5% of the code of production machine learning systems is the model itself. 2015): Hidden Technical Debt in Machine Learning Systems. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. This in turn means the recommendations deteriorate over time due to a lack of signals.

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Five Trends for 2019

Hu's Place - HitachiVantara

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86
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AoAD2 Practice: Evolutionary System Architecture

James Shore

This is a pre-release excerpt of The Art of Agile Development, Second Edition , to be published by O’Reilly in 2021. To share your thoughts, join the AoAD2 open review mailing list. Evolutionary System Architecture. Simplicity is a key Agile idea, as discussed in “Key Idea: Simplicity” on p.XX. Programmers, Operations.

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. And the real question that will change our industry is “How do we design systems in which generative AI and humans collaborate effectively?”

Trends 116
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What is O'Reilly Radar?

O'Reilly Media - Ideas

How do algorithmic systems drive value, manifest bias, and affect fairness—particularly in closed platforms with their own economics? Radar has been looking at the Next Economy for the last five years, including running Next:Economy conferences in 2015 and 2016. How do we change those incentives? Tim O’Reilly’s book WTF?:

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5 Best Machine Learning Frameworks for Web Development

Apiumhub

It was initially released in 2016 under an MIT license, and is open source. It was originally developed in 2016, and is primarily being maintained by Facebook’s artificial-intelligence research group. TDD example in software development ( part 1 ). TDD: first cycle ( part 2 ). Microsoft Cognitive Toolkit.