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Solving the Data Storage Puzzle for ML/AI
Address unstructured data growth at any scale with HPE Apollo 4000 and Scality.

Are you facing data sprawl, data silos, traditional and next-generation workloads, dispersed locations, and budget reductions?

Machine Learning and Artificial Intelligence use huge pools of unstructured data, often in the form of things like videos, images, text, and voice. The business problem is finding a way to economically store that data without creating isolated data pockets, or paying for constant movement of data between clouds and on-premises solutions. What you have in place today may not be best for you in the next three to five years. These questions are what forward looking companies are handling today via HPE Apollo 4000 Systems and Scality RING8 Software Defined Storage solutions.

Join us for an interactive discussion to learn how you can address unstructured data growth challenges at any scale with HPE’s and Scality’s scale-out file and object storage solutions. Learn how you can:

• Lower both your OPEX and CAPEX costs
• Eliminate data silos and cloud data access/movement charges
• Ensure data durability with geo-wide data protection
• Create tiers of hot, warm and cold data at the best price points

Attendees will be included in a drawing to receive a $75 e-gift card.

Note: Drawing limited to attendees only; must attend entire session. Only non-Public Sector end user customers of USA/Canada are eligible for the e-card drawings. By registering for this event, you are representing to HPE that you have approval from your organization to attend and accept any item of value from HPE.

Sep 16, 2020 11:00 AM in Central Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: John DeMovellan.