Big data really wasn’t all that big until modern analytics and machine learning applications appeared, but now storage solutions have to scale capacity and performance like never before. In this episode, Brad King, Co-Founder of Scality, joins Chris Grundemann and Stephen Foskett to discuss this new demand for scalable storage by AI applications. Applications like autonomous driving, log analysis, and travel booking are driving a massive need for storage as AI applications detect anomalies and support business intelligence. Scality had to tune its system to handle the massive scale of data supporting these applications, with up to a petabyte of log data being added and deleted in a single day. AI-driven tools are enabling customers to do what they never could do, and it requires a balanced infrastructure stack to make it possible. Brad suggests that companies implementing AI applications need to find a system that scales with their needs and has API-driven data access, preferably with an object-based storage model.
Guests and Hosts
- Brad King is Co-Founder and CTO of Scality. Connect with Brad on Twitter at @Baslking
- Chris Grundemann a Gigaom Analyst and VP of Client Success at Myriad360. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann
- Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett
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