Just imagine the massive impact AI and Machine Learning have on our lives and jobs. According to SEM Rush, for instance, the global AI market is predicted to skyrocket in the next few years. Here are some 2022 predictions for AI and Machine Learning applications.
Moving Artificial Intelligence models to production environments for IT businesses is as much crucial as painful. This article will show how to wrap ML models into containers, how Seldon helps Ops engineers to orchestrate thousands of models together and how Apache Kafka connects these assets with heterogeneous data and heavy workloads.
A wealth of interesting technologies and methodologies has risen in recent years under the “Cloud Native” umbrella name, and their impact in our lives as developers has been very deep.
Any frontend developer will have experienced the pleasure of opening the newly released page with the Chrome inspector finding a clear and semantic clean code. Not even Marie Kondo could do better!
How many times has it happened to you to review some old code and think: “gosh, how bad is this? ? who assigned the classes? What a mess!“.
Online Learning is a branch of Machine Learning that has obtained a significant interest in recent years thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic.
In recent years, smart speakers like Amazon Alexa, Google Home, and Apple HomePod have increased their market share, and according to the forecast, their popularity will continue to grow. The cool thing about smart speakers is that they’re deeply customizable thanks to their SDKs, thus creating new ways to interact with them.