HPE Launches Container Based ML Ops Solution To Manage AI Lifecycle
The News: Hewlett Packard Enterprise (HPE) today announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces 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. BlueData was acquired by HPE in November 2018 to bolster its AI, analytics, and container offerings, and complements HPE’s Hybrid IT solutions and HPE Pointnext Services for enterprise AI deployments. Read the full press release from HPE.
Analyst Take: HPE has made a strong commitment to moving to everything as a service within the next three years, and as a part of it, the company continues to expand solutions that are addressing the future of how companies operationalize data and put AI to work.
What Is Being Offered
HPE is packaging its newfound services approach along with its strength in hybrid (multi) cloud/IT to enable enterprises to expedite the deployment of AI. Essentially, this is being accomplished by combining the BlueData EPIC platform and the company’s growing as-a-service approach to be delivered via HPE Pointnext.
According to HPE’s release, the solution, which will be delivered as a subscription, will include/deliver the following:
- Model Build: Pre-packaged, self-service sandbox environments for ML tools and data science notebooks
- Model Training: Scalable training environments with secure access to data
- Model Deployment: Flexible and rapid deployment with reproducibility
- Model Monitoring: End-to-end visibility across the ML model lifecycle
- Collaboration: Enable CI/CD workflows with code, model, and project repositories
- Security and Control: Secure multi-tenancy with integration to enterprise authentication mechanisms
- Hybrid Deployment: Support for on-premises, public cloud, or hybrid cloud
Why Companies Need This Type of Solution
Today’s enterprise isn’t struggling with having access to data. If anything, there is too much data and company’s are struggling to operationalize it. Gartner has AI project failure rates as high as 85%, which means there is a massive opportunity for companies that invest in operationalizing AI to jump ahead of companies that are either trying and stumbling or have avoided the data conundrum entirely.
What companies clearly need is direction, tools and partnerships that can help its projects go from proof of concept to fully operational and the quicker this happens the better. There are certainly a vast number of companies from consulting firms like Accenture and Deloitte to HPE competitors all vying for marketshare in this space. I believe there is more than enough to go around and HPE should see this offering well received as the company continues to invest in proving itself as a services company.
How Important Is This?
HPE continues to integrate its acquisitions to develop important enterprise solutions that enable digital transformation. BlueData EPIC on its own provided companies a platform, but HPE ML Ops will enable companies with differing internal resources to put container architecture to use while extracting increased value from data; accomplishing all of this in just days as opposed to typical deployments that would take much longer.
A promising announcement that should see the backing of numerous case studies in the next 12 months and certainly something to keep an eye on.
Read more Analysis from Futurum Research:
Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.
Latest posts by Daniel Newman (see all)
- Made By Google: How the Pixel 4 Launch Went Down - October 17, 2019
- IBM’s Q3 Results Mixed With Red Hat and Cloud Showing Promise - October 16, 2019
- Poly Analyst Day: Competing Around an Open Ecosystem - October 15, 2019