This is episode #37 of Custom Made and this week I’m joined again by Rowdy Howell, Senior Data Engineer here at Dialexa.
Rowdy has joined me previously on Custom Made where he was discussing the various challenges enterprise organizations have when it comes to data. When you have finished with this episode, be sure to check out episode #34 to hear more about draining your organization’s data swamp.
As a Senior Data Engineer here at Dialexa, Rowdy has helped solve complicated problems using machine learning models, designed and deployed data streaming architectures, and pushed the capabilities of the data team here.
This week Rowdy and myself are discussing some of the major trends being discussed at the Strata Data Conference which Rowdy recently attended in New York.
Presented by O’Reilly and Cloudera, the Strata Data Conference brings together big data, cutting-edge data science, and new business fundamentals into a three-day conference that offers a deep dive into emerging techniques and technologies.
During this weeks episode, we are exploring five major themes that were being discussed during this conference:
- More and more companies looking towards fast data as technology integration improves
- Your data science team is fundamentally different than your agile solutions team
- Decision makers playing an increasingly important role in data
- Many businesses scenarios can’t accept black box models - interpretability on the rise
- AI ethics becoming a hot topic now to prevent murky waters when the tech arrives
You can find out more information about the Strata Data Conference and some of the keynotes from the New York sessions here:
Catch Rowdy's Custom Made episode via the podcast links below!
And, get all episodes of Custom Made on these platforms and many more. Do subscribe on your favorite platform to catch each episode as it is released, and let me know any feedback, questions, and recommendations on twitter @dougplatts.
I hope you enjoy this episode!
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