Spell MLOps AI: Spell Inc is founded in 2017 by a group of all renowned AI experts of the world and the company is working to operationalize the deep learning process at a very large scale with the help of its unique DLOps platform that is rapidly gaining recognition.
Adopting its ability can improve the value of time and ROI for the computer’s vision along with the natural language process and speech recognition and also includes other advanced AI applications.
The company has raised the funding of 15 million US dollars in a series of funding led by two projects which are Eclipse Ventures and Sigma Ventures.
Spell MLOps AI, Spell Inc who is leading the operation of Artificial Intelligence for natural language processing along with the help of speech recognition and machine vision, the company has launched the world’s first cloud-agnostic, end-to-end MLOps platform for the deep learning process.
The namesake solution is developed by the veterans of the AI industry who helps in tracking, managing, and also automates the procedure of the entire deep learning workflow by developing and training and it also helps in deploying and optimizing the new models on the scale.
The platform has somehow improved its efficiency, compliance, and effectiveness for the AI projects of large enterprises that are in progress along with the AI startups.
MLOps solutions are designed to solve the current problems faced by traditional machine learning and Artificial intelligence which works on simple processes and infrastructure and uses commodity CPU-based compute resources for building, training, and deploying the predictive models.
The procedure of deep learning also requires the tracking and managing of the hundreds of experiments simultaneously along with the ongoing thousands of parameters, then this procedure can use the vast amounts of more costly GPU-based computers.
Spell MLOps AI, Without the innovation of the effective MLOps for deep learning, most of the organizations would have been still struggling to have a successful and operational new model for natural language processing which requires voice recognition, machine vision, and other applications for deep learning, or are they doing it at a very high cost.