Hewlett Packard Enterprise (HPE) is revolutionizing its Ezmeral software portfolio to simplify data organization, management, and analytics for organizations advancing their artificial intelligence (AI) and machine learning (ML) workflows.

HPE Ezmeral, HPE’s enterprise software division, has grown in recent years through a series of acquisitions. In 2018, HPE acquired BlueData software, which brought in new capabilities for using application containers to manage data in support of AI/ML efforts. In 2019, it acquired data platform vendor MapR, which brought capabilities for the Hadoop Distributed File System (HDFS). In 2021, HPE acquired Ampool, adding a distributed SQL engine for data queries. And on May 2 HPE hired most of the leadership and engineering team behind the recently-acquired Arrikto, one of the leading contributors to the open-source Kubeflow ML workflow project. HPE Ezmeral has also been supporting multiple other open-source efforts that are critical to modern data and AI operations, including Apache Spark, Apache Airflow, Apache Superset, MLflow, Feast, and Ray.

HPE Ezmeral announced today that it is now organizing and updating its portfolio with two primary streams. The new HPE Ezmeral Data Fabric software suite will consolidate the company’s data management technologies. HPE Ezmeral Unified Analytics Software is the new offering that will bring together all the tools and technologies needed for organizations to manage data analytics as well as AI/ML workloads.

“We are introducing the new simplified portfolio where we’ve chosen to basically go away from doing things like building out bespoke solutions for container platforms, MLOps, and Spark,” Mohan Rajagopalan, vice president and general manager at HPE Ezmeral Software, told NeuralNation. “We want to focus on providing foundation capabilities that help our customers develop and deploy applications in a hybrid multicloud world.”

HPE Ezmeral is a leading software provider in the data, analytics, and AI/ML fields that has recently unveiled an innovative, user-friendly suite of services. These services are designed to simplify the often overwhelming task of managing these projects in order to accelerate the implementation of new technologies.HPE Ezmeral’s goal is to allow users to create the right cloud-native applications for their businesses while providing access to huge datasets in order to support data-driven decision making. By doing this, they seek to provide a comprehensive suite of cloud-native solutions that speeds up the time-to-value of big data projects by enabling users to quickly analyze, visualize, and share information with stakeholders.

The tools and services offered by HPE Ezmeral allows users to quickly and easily develop data pipelines, deploy ML models, and set up a secure data lake and analytics environment. These services are designed to simplify the implementation of data-driven initiatives and accelerate the development of real-world applications. This eliminates the complexity of managing big data and analytics projects, saving valuable time while still achieving superior business outcomes.

Furthermore, HPE Ezmeral’s comprehensive suite of services provides users with instant access to support from certified HPE experts and a wide range of industry-leading open source tools to accelerate the development and deployment of AI/ML workloads. The services are also designed to integrate seamlessly with public clouds, allowing users to leverage public cloud resources to reduce IT costs and foster faster growth.

By simplifying the implementation of data-driven projects, HPE Ezmeral has made it possible for businesses of all sizes to take advantage of the powerful capabilities of big data and analytics. As the trend of data-driven decision making continues to gain traction, HPE Ezmeral’s suite of services is sure to become increasingly valuable as businesses seek to make the most of their data-driven initiatives.

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