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Why IT execs need to consider GraphQL

InfoWorld

Enterprise IT has long been a morass of oft-conflicting infrastructure choices, and recent advances have arguably made things worse. Cloud, for example, promised to make everything better, but 10-plus years of cloud-native investments have complicated things by creating a thicket of microservices, APIs, and other “cloud-native best practices.”

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Supporting Diverse ML Systems at Netflix

Netflix Tech

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers.

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What Is.NET Used For?

Existek

This article will explore.NET technologies, common use cases, and why it’s become such a popular choice for developers worldwide. Therefore, in this article, our main focus will be on answering the question, “What is.NET used for?”. Would you like to know how.NET can help you create modern and secure applications?

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What Is.NET Used For?

Existek

This article will explore.NET technologies, common use cases, and why it’s become such a popular choice for developers worldwide. Therefore, in this article, our main focus will be on answering the question, “What is.NET used for?”. Would you like to know how.NET can help you create modern and secure applications?

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ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

Exadel

Say you have a big ASP.NET project with microservice architecture and complex infrastructure (security, CI & CD, audit, logging, etc.). Although infrastructure can be reimplemented in a Python microservice, it requires a lot of effort and Python software engineering skills. Difficulties of running Python in production.

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Top 5 AI Implementation Challenges and How to Overcome Them

Exadel

85% of them use AI incorrectly Additionally, your moonshot initiative might not yield the expected results due to unclear objectives and flawed project management practices, including bias, which can hinder AI algorithms producing accurate results in 85% of the cases.

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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. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Happy New Year and welcome to 2019, a year full of possibilities.

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