We recorded this interview at a Pure Storage AI event at Hamilton Live, in lovely downtown Washington, DC.
Cybersecurity professionals like to talk about data “at rest” and data “in transit.” They never mention how exactly this concept of “in transit” takes place.
Once upon a time, in a data center far, far away, one could take a database and move it easily. Kind of like taking a suitcase in your car and driving across town.
Today, federal agencies are deluged with so much data, is it more like dragging your entire house across town?
Moving data today involves concepts like data tiring. This is an approach where data is taken to a third place and transferred from there. Due to limitations of latency, network bandwidth, and compliance concerns, this is a process that can take way more time than can be imagined. You may have some highly compensated data scientists waiting days for a complete transfer.
"AI is not a technology initiative, it's a actually more of a human initiative, it is giving our customers and our federal agencies the opportunity to interact with their data in a way they haven't before "
Let us take another scenario. What if your agency has some data stored in a specific cloud provider? It may be discovered that charges were higher than expected and the data need to be returned to the on prem environment. If not done properly, this transition can be fraught with issues.
Further, many federal agencies are sitting a veritable treasure trove of data, both structured and unstructured. These could be images, text, email, or video. Pure Storage offers ways to derive value from a wide variety of unstructured data. structured and unstructured data. These could be images, text, email, or video. Pure Storage offers ways to derive value from various unstructured data.
Also recommended:
EP-247: Thales Powers Federal Data Security Against Quantum-Era Threats
Relevance: Explores advanced encryption and computing threats—great tie-in when discussing federal-level compute and algorithmic challenges.EP-208: Innovation with OSCAL, Federal Cloud, and Compliance
Relevance: Connects AI and data to compliance standards and cloud architectures—key for compute-heavy federal projects.
