The hidden data crisis threatening your AI transformation plans

romaset/Getty Images Historically, when defining a network architecture, it's been fairly easy to create buckets or silos of data. Whether the data was gathered from one system here and one system there, or from one department here and one department there, data almost naturally bucketized. When one of IT's biggest challenges was storing that data, buckets or silos seemed good enough. But now that capacity is far less of an issue. Our biggest concerns are understanding and insight. Chunks of data, locked in their silos, prevent an holistic and fully integrated level of understanding. Also: OpenAI wants ChatGPT to be your 'super assistant' - what that means Add AI into the mix, and access to data becomes even more critical. For the AI to make logical leaps from one concept to another, it needs to see corporate data as a whole. According to Rahul Auradkar, EVP & GM, Data Cloud at Salesforce, "Most enterprise data (80%) is unstructured, and 59% of organizations lack unified, easily a ... Read full article.