Roman Stanek

a16z Podcast | Making the Most of the Data That Matters

Steven Sinofsky, Prat Moghe, Gaurav Dhillon, Roman Stanek, Michael Copeland

Industry leaders debate whether big data success stems from a proactive business-solution mindset or dynamic, bottom-up exploration, with consensus that physical data location now dictates the necessary processing architecture. While predictive analytics is cited as the future battleground, practitioners argue that cloud-based aggregation enables smaller enterprises to leverage machine learning by pooling otherwise insignificant datasets. Ultimately, the sector's evolution hinges on bridging the "last mile" gap by delivering simple, Excel-compatible interfaces that allow non-technical users to harness real-time insights from hybrid on-premise and cloud environments.