Share to Facebook Share to Twitter Share to Linkedin Pure Accelerate offered a proper finale for a busy spring conference season. Matt Kimball Data and how we manage it are the critical foundation for any organization’s AI strategy. Unfortunately, much of the data an organization finds valuable is generated in many different locations and in multiple formats.
In many instances, this data sits in legacy, siloed data stores that make managing, protecting and using it seemingly impossible. Overcoming the storage complexities and associated costs for this data that seem to challenge every IT organization is how Pure Storage has been so successful, outgrowing the market quarter after quarter and year after year. It is a company that has focused on removing the technical and operational barriers that have prevented storage and data management from modernizing, along with optimizing the workloads fueling the AI-driven business.
The company closed out the spring conference season in late June with its Pure Accelerate event. In the following sections, I’ll analyze what the company announced. Data Management Starts With Storage Data management is critical to the modern enterprise, no doubt.
Managing the diversity of enterprise data—the collection, cleansing, tagging, etc.—is critical to the AI journey, but it is easy to overlook one simple fact: A practical and modernized data management strategy must begin with a modernized storage environment. While many storage companies hav.