What happened in Seattle?
DRIVE/ 2017 was all about two key themes: tech and people. Or, more so, tech-enabled people. It's a vision we're all pursuing in advancement and, in this post, share some thoughts on what the road ahead looks like.
After an energized and interactive first full day of DRIVE, we took all the event's Twitter engagement and passed it through our Natural Language engine. What did we learn?
Last night was the unofficial start of CASE's DRIVE/ conference. As hundreds of fundraising data scientists descended upon Bellevue, WA, buzz started building on Twitter with the hashtag #caseDRIVE.
We ran the last 24 hours' tweets through Isaac, QuadWrangle's machine learning bot charged with curating university news to alumni and telling gift officers what designation a donor is most likely to give to.
Could it be that seeing data is no longer the goal, but that data *doing* real work without visual consideration is the future of engagement and fundraising? Read on to understand why we think that "data that does" is poised to replace "data that tells."
As we did with our recent blog post on the semantics of all of @DRIVExchange's historical tweets, we have processed all of the speaker sessions during DRIVE/ 2017 through QuadWrangle's semantic engine to extract the key concepts of this year's event.
This tool helps us gauge how well our natural language engine that powers QuadWrangle is doing. And, scouring through the several dozen tags from nearly 500 tweets by @DRIVExchange, it looks to have done a solid job.