Category: Podcast Archives

Let's talk Data!

Digital Transformation? Don’t Miss the Boat!

Original Air Date: November 8, 2018   The Guests Jeremy Levy, Indicative Rob Perry, ASG Technologies Deborah Baron, Tom Sawyer Software Prashant Bhatia, Stibo Systems   About the Discussion Don’t look now: another company just experienced digital transformation the hard way. Almost every day, some company somewhere realizes they missed the boat, while their competition innovated.…
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November 8, 2018 0

From Hybrid Cloud to Multi-Cloud: Federation for All

Original Air Date: November 1, 2018   The Guests Abdul Rasheed, Rubrik Datos IO Piet Loubser, Paxata Kevin Mcgrath, Spotinst Eric Wright, Turbonomic   About the Discussion Almost overnight, information architects went from talking hybrid cloud to multi-cloud. And the reason is clear: multi-cloud is the future! With all the major software vendors now plying their…
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November 1, 2018 0

Big Data at-Scale: Riding the Wave

Original Air Date: October 25, 2018   The Guests David Besemer,  MapD Monte Wedenius, Maria DB Dave Stokes, Oracle MySQL Amrita Jain, Glassdoor   About the Discussion Just as the first waves of big data challenged legacy systems several years ago, so too is the current tsunami fostering the creation of stronger, more durable information infrastructure.…
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October 25, 2018 0

Analytics as the Rudder of Today’s Enterprise

Original Air Date: October 18, 2018   The Guests Sean Zinsmeister, ThoughtSpot Gary Ornstein, Yellowbrick Alan McKellar, Rogue Wave About the Discussion The term “data-driven” has become a rallying cry for most businesses in the information economy. But a more accurate concept might be “analytics-driven.” Indeed, if data isn’t providing good analytics for an enterprise, there’s…
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October 18, 2018 0

Be Prepared! How Data Prep Empowers Business

Original Air Date: October 11, 2018     The Guests Christopher Bergh, DataKitchen; Paul Medaille, SAP; Will Davis, Trifacta; About the Discussion Data professionals know from hard experience that quality is as quality does. Almost no data set is perfect, which is why metrics for data quality invariably allow for some percentage of bad data. The…
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October 11, 2018 0