- Workflow Management
- Compliance Tracking
Machine learning made easier
(3 ratings)
H2O Driverless AI offers custom pricing plan
Overview
Features
Pricing
Alternatives
Media
FAQs
Support
You can also consider
H2O Driverless AI is a ground-breaking platform designed to simplify automated machine learning. With the help of this revolutionary product, data scientists can easily complete projects and execute machine learning tasks within hours or even minutes! Businesses from varied industries ... Read More
Workflow is a collection of tasks that work together to process a batch of data. A workflow encompasses everything from creating assets to integrating them into a digital solution, submitting them for approval, and altering them in the context of asset management. Workflow management is the process of planning, organizing, and carrying out the actions necessary to achieve a goal. Workflow management is concerned with the order in which events occur. Once one step is finished, the next can be started, and so on. Workflow management is best for repeatable procedures and objectives since it is repetitive.
Compliance. It’s a daunting task for most compliance administrators. It’s also one of the most important components as to why you are regulated. You cannot comply without tracking your regulated items and monitoring that they are in place and working. The practice of arranging and tracking compliance-related data and actions to ensure that no detail is overlooked is known as compliance tracking. Compliance tracking may help you stay up to date when rules and standards change, as well as better understand how to plan for future projects, resources, and deadlines.
Customer Service
Business Hours
Location
Mountain View, California
H2O Driverless AI is a ground-breaking platform designed to simplify automated machine learning. With the help of this revolutionary product, data scientists can easily complete projects and execute machine learning tasks within hours or even minutes! Businesses from varied industries benefit from the customisable and flexible data science platform. It significantly reduces the complexity of the feature engineering strategy, which is essential for extracting the most relevant results from machine learning algorithms. By providing a library of algorithms and feature transformations, H2O
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta