MoBagel is a key vendor of AI/ML platform (Gartner, 2020) with a mission to empower data teams and enterprises to become AI-driven, and thus the vision of “Think with AI”. With a team consisting of talents from top universities such as Stanford, UC Berkeley, and Oxford, MoBagel has designed and engineered Decanter AI, an AutoML platform that contains more than 100 machine learning algorithms to help enterprises quickly build AI-driven data solutions.
Decanter AI has helped MoBagel secure key clients and successful cases in the United States, Japan, China and Taiwan with its AI-driven data solutions in Manufacturing, Finance, Insurance, Healthcare, Retail, E-commerce, Telecom, Traveling industries as well as solutions for Sales and Marketing. With a growing customer base that includes SoftBank, ChungHwa Telecom, Advantech, AU Optronics, New Balance and Coca Cola, MoBagel has been selected by Gartner Report - Top 10 Strategic Tech Trends for 2020.
Here are some of the credits that MoBagel has received:
Decanter AI is an AI/ML platform that focuses on automating the entire data analytics process using a next generation of AutoML and time series forecasting technologies, such as automated data cleaning, automated pre-processing, automated feature engineering, automated feature selection, automated hyperparameter tuning, automated model training and scoring, stacking, ensembling and automated deep learning.
Through the optimization of efficiency in computing time and memory management, Decanter AI has achieved a computing time and efficiency of 110 times faster than Google AutoML Tables, and 10 to 1000 times faster than using Python Scikit-learn for model building, and at the same time having a much more robust system execution of distributed computing, parallel computing and memory optimization.