Read how the latest release from HPE Ezmeral Software empowers AI and analytics pros to unleash their data's true potential across hybrid multicloud environments.
AI is no longer a novelty for Global 2000 leaders. It's now permeating multiple business functions, transforming industries at breakneck speed. But beneath the glitz lies a harsh reality: 70% of AI journeys end in disappointment. [1] Data issues, hybrid multicloud complexity, and operational challenges are blocking the path to data-driven decision making.
Organizations realize that cobbling together different tools on proprietary platforms leads to complexity and high cost that stifles innovation. This realization now has customers seeking end-to-end approaches to AI, ML, and analytics that automate tasks, deliver productivity gains, and reduce costs. Solving these challenges is what HPE Ezmeral Software is all about. This powerful end-to-end solution is designed to help organizations unlock the power of AI and analytics across their hybrid multicloud environments. It does this by solving two key customer challenges:
HPE Ezmeral Data Fabric Software unifies disparate types of data into a data fabric then enables seamless access and data management across hybrid multicloud locations.
HPE Ezmeral Unified Analytics Software increases productivity of AI and analytics teams by automating and simplifying the creation, deployment, and monitoring of AI/ML workloads and apps.
Hundreds of organizations have already unlocked the magic of AI and analytics with HPE Ezmeral, slashing complexity, cost, and time-to-customer value. And just when you thought it couldn't get better, the latest release pushes the boundaries even further, cementing HPE's dominance in hybrid multicloud AI and analytics.
Richer insights from larger data universes
A recent IDC report says that multicloud architectures are the way forward for 72% of enterprises. Unfortunately, each one of these sources is isolated with complex organizational negotiations needed to see and access their data.
HPE Ezmeral Data Fabric fulfills all your hybrid data lakehouse data needs by storing files, objects, tables, and streaming data in one unified layer of data. Data management is simplified with automated processes for management, security, and governance freeing up data professional to focus on what your business needs โ insights. In this latest release, HPE expands visibility and seamless access to a larger universe of data to provide richer data discoveries and cross-organization collaboration across AI and analytics teams. These new capabilities include:
- Reference data from WEKA, Scality, and VAST. Simplify your data path to AI/analytics success. Ezmeral federates storage from WEKA, Scality, and VAST, allowing you to access data centrally and securely without data duplication or movement.
- Support for Apache Iceberg. Bridge the gap between on-premises and multicloud environments with Apache Iceberg. Ditch data fragmentation by empowering Iceberg users with a single source of unified data that can be accessed and queries from anywhere.
- Reading files as objects. Reading files as objects simplifies access and processing of large datasets by a diverse set of applications and tools. Decoupling data from the underlying file format enables organizations to leverage the flexibility and richness of object data as well as quickly adjust to.
Confidently develop and deploy AI models
HPE Ezmeral Unified Analytics is an end-to-end solution that provides a self-service experience for AI and analytics professionals. It does this by automating app lifecycles, delivering consistent development environments and pre-defined Jupyter notebooks that can leverage a HPE managed ecosystem of open-source technologies. This latest release offers:
- Deployment of HPE Ezmeral Unified Analytics on top of a Red HatยฎOpenShiftยฎcluster. Overall, businesses experience self-service to a powerful and flexible platform for running their analytics workloads without increasing infrastructure investment.
- Fine-grained access controls and permissions. By assigning permissions to individual users or groups, organizations can minimize access to sensitive data, make it easier to comply with GDPR or CCPA and improve auditability by demonstrating compliance to regulators.
- Integration of HPE Ezmeral Unified Analytics with HPE Machine Learning Development Environment (MLDE) turns Ezmeral Unified Analytics into a one-stop shop for machine learning by combining the capabilities of Ray and Kubeflow with MLDEโs pipeline, training, and ML model deployment capabilities.
AI is no longer science fiction, it's a business revolution. HPE Ezmeral empowers AI and analytics pros to unleash their data's true potential by driving game-changing outcomes across hybrid multicloud environments.
Learn more at:
HPE Ezmeral Unified Analytics
HPE Ezmeral Data Fabric
Joann Starke
Hewlett Packard Enterprise
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[1] Industry analysts differ in the percentage but center around 60-80%.
JoannStarke
Joannโs domain knowledge and technical expertise have contributed to the development and marketing of cloud, analytics, and automation solutions. She holds a B.S. in marketing and computer science. Currently she is the subject matter expert for HPE Ezmeral Data Fabric and HPE Ezmeral Unified Analytics.