Building, deploying, and maintaining an AI application can be difficult and sometimes nonviable. What seems straightforward in the lab can turn into a complex, time-consuming, and costly effort in the real world. The Iguazio MLOps Platform combined with Lyve Cloud helps businesses simplify the adoption of machine learning efforts by making it easier (and quicker) to develop, deploy, and manage AI applications at scale and in real time.
Deploy operations up to 12× faster with assistance from always-on data availability and streamlined processes.
Save on infrastructure costs by up to 70% through shared resources, efficient utilization, and simplified platform functionality.
Seamlessly move and deploy data across public- and private-clouds with zero egress or API charges.
Leverage data access policies, role-base access control, active directory integration, and cloud platform certifications like ISO 27001 and SOC 2.
In this brief, we’ll show you how Seagate Lyve Cloud and Iguazio work together to create one powerful platform for accelerated AI and machine learning operations. Check it out.
During this recorded webinar, Seagate team members review AI and MLOps challenges experienced at the company’s hard disk advanced manufacturing sites.
When it comes to data engineering at scale, Seagate focused on managing massive data sets, working in a hybrid environment, keeping costs down, and increasing productivity.
Learn how the organization:
Built and managed a hybrid data lake with petabytes of data on Lyve Cloud
Enable high scalability and efficient resource utilization
Bridged the gap between data engineering and data science
Created one production-ready environment with enterprise capabilities