September 2nd, 2021
Innovation with the H2O AI Hybrid CloudRSS Share Category: H2O AI Hybrid Cloud, Uncategorized
By: Mary Beth Moore
Consumer expectations for responsiveness, personalization, and overall efficiency have risen dramatically over the past several years as technology has become ubiquitous across both our personal and professional lives. These rapidly growing expectations demand an expansion in focus from simply solving narrow use cases with machine learning to creating innovative, immersive experiences empowered by artificial intelligence.
We love to power big ideas here at H2O.ai, which is exactly why we built the H2O AI Hybrid Cloud. Our platform makes it easy to make AI models and applications, operate them anywhere and innovate with insights designed uniquely for your needs. With pervasive automation and transparency, the H2O AI Hybrid Cloud augments efforts across data science, software development and end-user business solutions to quickly and easily move organizations from idea to impact over and over again.
The H2O AI Hybrid Cloud simplifies the orchestration and interoperability of AI components with three distinct categories of functionality – Make, Operate, and Innovate. Over the coming weeks, we will deep dive into each of these areas to share more about how our specific capabilities, designed by data scientists for data scientists, simplify and augment the end-to-end data science lifecycle.
The first piece of the platform includes all of the steps required to Make AI models and applications.
Feature transformation. Automated feature engineering and feature selection provides important data insights and ensures higher accuracy of models.
Artificial intelligence. Access to leading specialized AI methodologies for tabular and unstructured data, including automated machine learning, time series solutions, natural language processing, and computer vision.
Machine learning interpretability (MLI). Leverage H2O.ai’s industry leading MLI research to move data scientists beyond black box methods and provide understanding and trust in increasingly complex models.
Application development framework. A Python native lightweight application development SDK quickly moves data science and developer teams from experimentation to deployment.
Machine learning operations and a modern architecture serve to streamline the management and deployment of those AI models and applications, allowing you to efficiently Operate in the environment of your choice, whether that is on premises or in the cloud.
Machine learning operations (MLOps). Manage, test, deploy and monitor production ready models with a fully customizable, real-time toolkit.
Flexible architecture. Increase scalability and ease of deployment with a platform agnostic infrastructure designed to support distributed processing, low latency scoring, and extensibility for use of your own libraries, custom algorithms, models, transformers, and scorers.
Provide more time for data scientists and business users to collaborate and iterate quickly with AI applications built to address unique opportunities to rapidly Innovate around your real-world challenges.
AI AppStore. Streamline the provisioning and governance of your AI applications and deliver intuitive, business solutions through a customizable AppStore that simplifies access to and consumption of end user solutions.
The H2O AI Hybrid Cloud fosters collaboration and teamwork, increases your organization’s learning rate, and simplifies the use of AI as a catalyst for your innovation efforts.
The simplified architecture above shows how the H2O AI Hybrid Cloud brings together the technical components needed to make AI and seamlessly blends them with the tools needed to operate and innovate with real world applications.
The past year and a half has proven that we can’t wait for weeks or months to put impactful solutions in place. Delays in the process of moving from creating models to building applications often mean that initial data and assumptions are no longer relevant by the time teams move to deploying solutions for real world use.
The demand for tangible ROI and increased speed to market from data science investments is steadily increasing. With a mission to democratize AI, our passion is to deliver technology that makes AI accessible across various teams and skill sets to collectively empower organizations on their missions to deliver better products and services to the world.
Visit www.h2o.ai/free to try the H2O AI Hybrid Cloud for free today.