AutoML or automatic AI
We have a talent shortage globally in the AI industry. With the AI boom, every company needs someone to implement automation and harness data to improve business. One solution to this problem is democratization of AI education, another is AutoML. The goal of automatic machine learning is to discover necessary architecture for algorithms automatically and thus heavily reduce the amount of time needed to build and deploy new models as well as decrease the expertise required to use AI at all.
Recently AutoML tools for AI design have been gradually increasing in tasks like data preparation, training, model search, and feature engineering. Google offers Cloud AutoML, and other cloud platforms follow it by introducing ready-to-use machine learning models that self-optimize on your data and task. AutoML can be used in computer vision, video processing, translation, and NLP tasks.
Startups are also offering plug-and-play solutions, for example, Databricks, DataRobot...