The Applied AI Summit is a great place to get the latest insights on deep learning algorithms, robotic process automation, and use cases and business models powered by cognitive technologies. With exciting AI topics like these, the conversation around storage is easily placed on the backburner - but you can’t change the world if your infrastructure can’t keep up with your AI initiatives!
The dizzying pace of innovation in core AI technologies like GPU, machine learning platforms, and deep learning frameworks can make this seem like a golden age for data scientists. In many ways this is true, but behind the scenes there’s often a dismal reality that can be more frustrating than exciting. Data management remains largely manual, and fragmented infrastructures keep data stuck in silos. Model training can take up to weeks to complete, so costs can easily soar out of control. The future remains bright—but getting there from here can be an extremely slow and costly process.
Topics: Data Infrastructure