In this podcast episode, I speak with Gary Orenstein, chief marketing officer at MemSQL, a platform for real-time analytics that combines a database, a data warehouse, and streaming workloads into one system. We discuss trends that are driving advancements in data warehousing, how related technologies are changing as machine learning and AI evolve, and example use cases across industries.

Artificial Intelligence and Advances in Data Warehousing

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Artificial Intelligence and Advances in Data Warehousing

O'Reilly Radar