NxtGen has launched machine learning operations (MLOps) as a service offering in a strategic alignment with Katonic.ai, a leading artificial intelligence (AI) startup, to simplify, strengthen and accelerate mainstream adoption of AI by enterprises, digital native start-ups, research institutes, educational institutions, and government entities.
NxtGen and Katonic.ai are teaming up to deliver an enterprise ready MLOps as a service that accelerates time to value of data science projects by bringing speed and agility to the model development process. NxtGen MLOps platform simplifies the development, deployment, and management of machine learning models and brings DevOps agility and speed to the ML model lifecycle.
NxtGen MLOps as a Service will give data teams the ability to efficiently build, train, deploy and monitor machine learning model pipelines in a platform-agnostic manner. The solution is designed to simplify machine learning deployment across verticals like financial services, insurance, health care, telecommunications, retail, pharmaceutical, and marketing. In line with NxtGen’s vision to broaden their service portfolio, the company is tying up with multiple emerging technologies and transforming those technologies as services for the enterprises which will help upskill them with augmenting new technologies and services which are pre integrated.
Commenting on the launch, AS Rajgopal, CEO and MD, datacenter and cloud technologies, NxtGen, said,“We found Katonic.ai’s platform to be the best collaborative platform with a unified UI to manage all data science in one place pre integrated with NxtGen cloud. With NxtGen MLOps as a service, we want to make it fast and easy to deliver AI applications. The platform is built with a simple user experience that makes it fast and easy to get started and will offer fully flexible cloud based solution to meet all business’s data science enablement needs for data analytics workloads at any scale with 24/7 MLOps support.”
Meanwhile, Prem Naraindas, founder and CEO, Katonic.ai, said, “I am very excited about this strategic alignment. Our MLOps platform is collaborative with a unified UI to manage all the data science in one place and delivers a deep set of capabilities that not only help data scientists evaluate their models but also help explain the models to business users and executives. In addition, the platform combines the creative scientific process of data scientists with the professional software engineering process to build and deploy machine learning models into production safely, quickly, and in a sustainable way. Our solution with NxtGen will ensure that our customers succeed in their AI initiatives by scaling their machine learning development from research to production with an end-to-end solution that gives data science teams all the tools they need in one place.”