AI success—easier said than done
Organizations across nearly every industry are adopting AI to stay competitive, drive growth, and decrease expenses. Whether powering self-driving vehicles, pioneering genomic medicine, building chatbots, or leveraging predictive maintenance, success with AI is completely dependent on real-time access to large amounts of data. Data is key to identifying patterns, developing predictive insights, and enabling increasingly accurate autonomous systems.
Hold on though. AI is easier said than done. Not only are the volumes of data massive and stored in many different forms, but the data lives everywhere—across multiple clouds and in the data center. Data silos and technology complexity are major hurdles to getting AI projects into production.