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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. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. In 2016, Facebook was the first tech company to publicly announce details of their ML platform, FBLearner Flow. Adapted from Sculley et al.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

Editor’s Note: This post was originally published on May 5, 2016. The microservices trend is becoming impossible to ignore,” I wrote in 2016. For teams dealing with loads of technical debt, microservices offer a path to the promised land. It has since been updated to reflect advancements in the industry.

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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. A 2016 Forbes article published a survey of data scientists which showed that most of their time, 80%, is spent on massaging rather than mining or modeling data.

Trends 86
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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. To get a solid understanding of how DataOps achieves its goals we can’t omit mentioning its close relatives — DevOps and MLOps. DataOps vs DevOps.

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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. But AI is going to bring changes to almost every aspect of the software industry. This has been a strange year. What does this mean?

Trends 118
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Micro Frontend: A Microservice Approach to Developing Web UIs

Altexsoft

There has been a lot of buzz around the concept of microservices lately with quite a few businesses adopting it to get rid of huge, monolithic backends. The client-side monolith usually stands in the way of integrating new features, introducing new technologies, and scaling separate components due to their tight coupling.

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Go vs Rust: What to choose in 2022?

Openxcell

As per a survey , here are the stats on how developers rank Go and Rust along with other peer languages in terms of preferences, Here, you will learn about both languages briefly, their benefits and disadvantages, and a review of some actual world use scenarios where you can get help to choose any language that you find better. Static typing.