Author: Monica Marcinko

Let's talk Data Management

Process Mining: The Essence of Digital Transformation

Origianl Air Date: May 23, 2019 The Guests Darren Peirce, Magnitude Software Southard Jones, Celonis Stephen Pappas, Panviva Robin Bloor, Bloor Group Marcello La Rosa,  School of Computing, University of Melbourne About the Discussion Process makes perfect! Or more to the point, process mining can pave the way to near-perfect business architectures, and that’s the…
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Streaming-First Architectures Take Center Stage

Original Air Date: May 16, 2019 The Guests Ted Dunning, MapR Steve Wilkes, Striim About the Discussion Why wait? The traditional batch-oriented approach for data management is fast being subsumed by so-called streaming-first architectures. Apache Kafka certainly has an impact here, as many large organizations are now using this open-source technology to shuttle massive amounts…
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Ready or Not: Narrow AI Tackles the Mundane

Original Air Date: May 9, 2019 The Guests Abhi Sharma, avaamo Yves Mulkers, 7wdata Daved Boone, The Bloor Group About the Discussion Who likes tedious tasks? Anyone? Anyone? Not many people enjoy the mundane, and that’s one awesome aspect of Artificial Intelligence! So-called Narrow AI focuses on hammering out repetitive tasks with remarkable ease. This…
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MAY 15 Webinar: Transform! The Information Economy Demands Agility

DATE: May 15, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Digital transformation happens every day, whether companies like it or not. Strategic transformation is the ideal scenario, but it requires lots of research, planning, orchestration, and process awareness, plus one mission-critical…
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Up and Coming: Three Startups with Amazing Potential

DATE: May 30, 2019 TIME: 3 PM Eastern / 12 PM Pacific The Guests Farzad Dibachi, Inxeption Amandeep Khurana, Okera Venkat Venkataramani, Rockset About the Discussion Who are the the most innovative startups in data? What are they doing that will change the way you do business? DM Radio is hosting a special episode focused on…
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Volume, Velocity, and Variety? How About Vision!

DATE: June 6, 2019 TIME: 3 PM Eastern / 12 PM Pacific The Guests Sreevani Abbaraju,HVR Software About the Discussion We all know about the three Big Data Vs by now: Volume, Velocity, and Variety. There’s a ton of data being spun out of enterprise systems and mobile devices, social media platforms, and cloud-based data centers;…
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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 something…
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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 question is:…
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Data Strategy Guidebook: Best Practices for Information Design

Original Air Date: October 4, 2018 The Guests Dan Erasmus, TimeXtender Loretta Mahon Smith, IBM About the Discussion President Dwight D. Eisenhower once quipped: “I’ve always found that plans are useless, but planning is indispensable.” His point was that the planning process itself yields many benefits, even if plans need to change when reality strikes. In…
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Why a Dynamic Data Catalog Matters

Original Air Date: September 27, 2018 The Guests Rohit Mahajan, Io-Tahoe Ravi Shankar, Denodo Ben Sharma, Zaloni About the Discussion As the explosion of data sources and types continues, most modern enterprises have realized they don’t just need a data catalog, but a dynamic one at that. This relatively new class of technology is much like…
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