Machine Learning and Modeling
Artificial Intelligence is about organizing enormous amounts of data, drawing conclusions and acting on them. The ubiquity of mobile technology has made it possible to collect millions of users’ activity, then analyze and apply it to some purpose. For Amazon, this means suggesting products for you to buy based on what you purchased last month, and what you’re browsing through today. For Google, it means finishing phrases, suggesting search terms based on what you just started to type into the search window, or based on what ads or articles you clicked on. These actions are tracked, and the data collected. The more actions are tracked, the more data gathered, the better AI can make “suggestions” or predict actions and behaviors. Then those actions are further tracked, analyzed and as a result, AI can fine-tune and improve. AI builds on itself, over generations of data.
This applies to presentations because presentations are no longer one-and-done lone files; they are enterprise assets. The same files are used and reused throughout many different scenarios, and results are collected, tracked and analyzed. It’s the foundation for intelligent presentations -- what we call Predictive SlidesTM.
Predictive Slides will suggest which files and slides you should include in your new presentation based on who you are, to whom you are presenting and what you have presented in the past. During meetings, Predictive Slides will suggest slides based on how that conversation is progressing. This is the future of presentations, and we’ll get into much more on that in the final chapter.