HPE has recently introduced ML Ops, a container-based software solution, aiming to provide support to the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. It also leads to a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days.
The new HPE ML Ops solution extends the capabilities of the BlueData EPIC™ container software platform, providing data science teams with on-demand access to containerized environments for distributed AI / ML and analytics. “From retail to banking to manufacturing to healthcare and beyond, virtually all industries are adopting or investigating AI/ML to develop innovative products and services and gain a competitive edge. While most businesses are ramping up on the build and train phase of their AI/ML projects, they are struggling to operationalize the entire ML lifecycle from PoC to pilot to production deployment and monitoring,” said Ritu Jyoti, program vice president, Artificial Intelligence (AI) Strategies at IDC.
Today, AI, machine learning, deep learning, and automation are no longer future technologies; they’ve already found traction in the enterprise. Whether it’s to organize data, to uncover trends or to make human’s lives easier, AI can have a positive impact on the enterprise. AI can amplify human capabilities and turn exponentially growing data into insight, action, and value-creating your competitive edge. Navigate this fast-changing field and realize the promise of AI, from IoT to cloud to the data center, with a trusted global enterprise partner. Only HPE is delivering on a roadmap to create more powerful, flexible, secure, and efficient computing and data architectures, powering AI from edge to cloud to the core.
At HPE, the OEM team has been consistent in driving innovation and Machine Learning that has opened up an accelerated path to stay ahead of the competition and further enhance the value of your solutions.
Click here to learn how HPE Artificial Intelligence and Data-Driven Services will help you in every step of the way from big data foundation to AI-driven automated business outcomes.
Audrey Cox
Hewlett Packard Enterprise
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