Home > APEX > Compute & HCI > White Papers > Automate Machine Learning with H2O Driverless AI on Dell APEX > Executive summary
The Dell APEX portfolio of services provides the flexibility to meet growth demand and full control of security and regulatory requirements in the OPEX cloud model. APEX services include an unparalleled speed of deployment in the industry and the trusted relationship of Dell as your partner. The Dell APEX Private Cloud offering with the AI/ML optimized option is ideal for leveraging GPU accelerated workloads. By using Dell Technologies' APEX solutions, organizations can meet any scale challenge with predictable costs and performance to optimize their analytics and AI jobs. APEX Data Storage Services capitalizes on Dell's highest performing and market leading storage products to deliver a data location for big data and analytics with submillisecond latency.
Artificial intelligence (AI) and machine learning have revolutionized how organizations are using their data. Automated machine learning (AutoML) facilitates and improves the end-to-end data science process. This process includes everything from preprocessing and cleaning the data, selecting and engineering appropriate features, tuning and optimizing the model, analyzing results, explaining and documenting the model, and deploying it into production.
AutoML accelerates your AI initiatives by providing methods and processes to make machine learning accessible to both experts and nonexperts alike. Organizations looking to apply machine learning quickly and accurately without employing large numbers of data scientists can benefit from AutoML capabilities. For organizations that have data scientists, AutoML equips and empowers them to create more robust models with accuracy, speed, and transparency to deliver better performance and outcomes. AutoML always helps organizations quickly discover business value hidden inside their data and easily use that data to address complex problems.
H2O Driverless AI is a comprehensive automated machine learning product that uses AI to do AI. It optimizes data science workflows to increase both the quantity and quality of data science projects delivered to business stakeholders. It empowers data scientists to work on projects faster and more efficiently by using automation to accomplish key machine learning tasks in minutes or hours, not months.
H2O Driverless AI provides capabilities such as:
AutoML does not replace machine learning operations (MLOps). AutoML focuses on automating and accelerating the model development portion of the ML pipeline, while MLOps provides an overall life cycle management framework for data preparation, model development, and coding. AutoML complements MLOps and can run successfully and efficiently with various MLOps frameworks such as cnvrg.io. MLOps provides an overall life cycle management framework for data preparation, model development, and coding.
H2O Driverless AI includes bring-your-own recipes and time series and automatic pipeline generation for model scoring. These capabilities provide companies with an extensible and customizable data science platform that addresses the needs of various use cases for every enterprise in every industry.