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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 

[[email protected]] 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. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.