Summary: Core hypothesis is all companies are data driven, all have data complexity, and there is not enough talent out there to solve it. Show Notes 04:01 Why Start Acceldata 06:02 Core hypothesis for Acceldata 08:59 Will Hadoop survive? And a tip of the hat to mainframes 11:12 Meaning of Data Observability & managing the data pipeline 13:26 The most troublesome data layer 20:10 Acceldata value prop 24:58 A typical observability engagement 29:08 AI is built in 30:38 Early client adoption 33:26 Preventing future data reliability issues 35:10 Acceldata's futures and why now? Find Rohit: https://www.linkedin.com/in/rconline/ Find Acceldata : https://www.linkedin.com/company/acceldata/ Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
