PDMA Webcast: The Product Leader's Guide to AI & Analytics
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 Export to Your Calendar 12/12/2019
When: Thursday December 12, 2019
2 PM CT/3 PM ET
Where: Webcast


Online registration is available until: 12/12/2019
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Join PDMA for a Dynamic and Informative Webcast!

Featuring Speaker Brian T. O'Neill, designer, advisor, and founder at Designing for Analytics

Space is limited, register early to reserve your spot!

** Attending a PDMA webcast earns one professional development credit for NPDP certified attendees. 

Rates:

PDMA Members: $Free

Non-Members: $10

The Product Leader's Guide to Turning AI & Analytics Efforts Into Indispensable Human-Centered Data Products & Decision Support Solutions

Session Description:

In 2019, Gartner predicted 80%+ of analytics insights won't deliver outcomes through 2022 despite sizable tech investments and previous studies on these failure rates. While machine learning, AI, and advanced analytics remain in the "hype" cycle, data teams still struggle to design engaging, valuable decision support tools that customers love. Why? Solutions are too often data-first and human-second, obfuscating the real problems begging to be solved. Here are some design strategies product managers need to know.

Brian T. O'Neill

About Brian T. O'Neill

Brian T. O'Neill is a designer, advisor, and founder of Designing for Analytics an independent consultancy which helps product leaders innovate by applying human-centered design to data science and analytics. For over 20 years, he has worked with companies including DELL/EMC, Tripadvisor, Fidelity, NetApp, MITRE, JP Morgan Chase, ETrade and numerous SAAS startups. Brian helps clients leverage human-centered design to create engaging, simple, and high-value decision support applications and data products. In addition to consulting, Brian is also an international speaker and trainer He has presented at multiple O'Reilly Strata conferences, Predictive Analytics World, the International Institute for Analytics Symposium, and on several data podcasts including IBM's Making Data Simple. Brian also authored the DFA Self-Assessment Guide, publishes a weekly Insights mailing list, and hosts his own podcast—Experiencing Data—which reveals the strategies that product, data science and analytics leaders are using to deliver valuable experiences around data. In 2018, Brian also joined the International Institute for Analytics' Expert Network as an advisor on human-centered design for data science and analytics.

A musician by training, Brian is also a professional percussionist in Boston. He tours internationally and has performed at Carnegie Hall, The Kennedy Center, and maybe your local tiki bar. Follow him on Twitter (@rhythmspice) and join his Insights mailing list.

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