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محتوای ارائه شده توسط Jon and The PolicyViz Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jon and The PolicyViz Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Akkio CEO Jonathon Reilly on Data and AI

38:52
 
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Manage episode 366271742 series 1564382
محتوای ارائه شده توسط Jon and The PolicyViz Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jon and The PolicyViz Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Jonathon Reilly is an innovative and results-driven executive with over 20 years of experience in product management, business development, and operations. As the Co-Founder and COO of Akkio, he has helped create an easy-to-use AI platform that empowers users to build and deploy AI solutions to data problems in minutes.

Prior to founding Akkio, Jonathon served as the VP of Product & Marketing at Markforged, where he played a critical role in the company's growth and success. With a strong background in the tech industry, Jonathon held various leadership positions at Sonos, Inc., including Leader of the Music Player Product Management Team, Global Channel Development, and Senior Product Manager. He began his career at Sony Electronics, where he contributed significantly to the development of a wide range of consumer products as a product manager and electrical engineer.

Jonathon holds an MBA in Entrepreneurship/Entrepreneurial Studies from Babson College - Franklin W. Olin Graduate School of Business and a BSEE in Electrical Engineering from Gonzaga University.

See links, notes, transcript more at the PolicyViz website.

Episode Notes

Jonathon | Medium | Twitter

Akkio

How to Lie with Statistics by Darrell Huff and Irving Geis

Data at Urban: How We Used Machine Learning to Predict Neighborhood Change

autoML

Related Episodes

Episode #227 with Max Kuhn

Episode #225 with Julia Silge

Episode #227 with Claire McKay Bowen

Episode #227 with Steve Franconeri and Jen Christiansen

  continue reading

260 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 366271742 series 1564382
محتوای ارائه شده توسط Jon and The PolicyViz Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jon and The PolicyViz Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Jonathon Reilly is an innovative and results-driven executive with over 20 years of experience in product management, business development, and operations. As the Co-Founder and COO of Akkio, he has helped create an easy-to-use AI platform that empowers users to build and deploy AI solutions to data problems in minutes.

Prior to founding Akkio, Jonathon served as the VP of Product & Marketing at Markforged, where he played a critical role in the company's growth and success. With a strong background in the tech industry, Jonathon held various leadership positions at Sonos, Inc., including Leader of the Music Player Product Management Team, Global Channel Development, and Senior Product Manager. He began his career at Sony Electronics, where he contributed significantly to the development of a wide range of consumer products as a product manager and electrical engineer.

Jonathon holds an MBA in Entrepreneurship/Entrepreneurial Studies from Babson College - Franklin W. Olin Graduate School of Business and a BSEE in Electrical Engineering from Gonzaga University.

See links, notes, transcript more at the PolicyViz website.

Episode Notes

Jonathon | Medium | Twitter

Akkio

How to Lie with Statistics by Darrell Huff and Irving Geis

Data at Urban: How We Used Machine Learning to Predict Neighborhood Change

autoML

Related Episodes

Episode #227 with Max Kuhn

Episode #225 with Julia Silge

Episode #227 with Claire McKay Bowen

Episode #227 with Steve Franconeri and Jen Christiansen

  continue reading

260 قسمت

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