Solving the Data Storage Puzzle for ML/AI with HPE & Scality

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 Take advantage of this webinar to get the answers to all your data storage questions directly from the experts.