AI & ML Ops
Create a simplistic data science platform transforming AI projects into real-world business outcomes. Accelerate and scale development, deployment and management of your AI applications with ML Ops and end-to-end automation of machine learning pipelines.
Enabling clients to develop, deploy and manage real-time AI applications at scale. We provides data science, data engineering and DevOps teams with one platform to operationalize machine learning and rapidly deploy operational ML pipelines.
The platform includes an online and offline feature store, fully integrated with automated model monitoring and drift detection, model serving and dynamic scaling capabilities, all packaged in an open and managed platform.
What is Artificial Intelligence for Business
AI leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.
3 Types of AI Solutions from MIS3 for Businesses
Automate Business Processes
Automation of digital and physical tasks, typically back-office administrative and financial activities. Example, transferring data from e-mail and call center systems into systems of record.
Cognitive Insight Through Data Analysis
Detect patterns in vast volumes of data and interpret their meaning.
These machine-learning applications are being used to:
predict what a particular customer is likely to buy;
identify credit fraud in real time and detect insurance claims fraud
Engaging Customers and Employees
Engage employees and customers using natural language processing chatbots, intelligent agents, and machine learning. Examples, intelligent agents that offer 24/7 customer service, product and service recommendation systems for retailers and health care customized care plans.
Machine Learning Operations Solutions from MIS3
Provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software.
MLOps allows organizations to automate and scale the deployment and management of trusted machine learning in production. It's used to train machine learning models the “brains” of artificial intelligence (AI) systems.
ML Ops Solutions from MIS3
Containerizing ML Models
Adopting a containerized ML workflow does not require adopting a whole lot of new technologies or processes for developers. The AI applications can be written in most common languages and built right alongside an enterprise’s current CI/CD environment.