Show Notes with Timestamps (VIDEO):

1:21 Remesh’s focus on helping customer understand populations (i.e. customers, voters, etc)
3:11 Leveraging ML to scale conversational understanding from 1:1 to 1:n
6:08 Engaging with the Remesh platform to understand an audience
9:19 Finding an instant audience to drive real-time insights via live conversation
10:49 Providing insight from a massive data set. Making predictions with small data sample
13:28 Where Remesh started in building it’s data set
15:51 Lesson learned in building data sets representative of audience
18:01 Managing customer conversation around prediction accuracy of AI algorithm
21:19 Initial go-to-market strategy and its evolution
24:14 Measuring and explaining ROI in customer conversation
26:14 Hiring strategies for AI talent