All Videos Tagged Ideation” (Data Science Central) - Data Science Central 2020-10-25T23:22:23Z https://www.datasciencecentral.com/video/video/listTagged?tag=Ideation%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Data Science Leadership Exchange: Best Practices for Driving Outcomes tag:www.datasciencecentral.com,2020-08-25:6448529:Video:978394 2020-08-25T22:43:07.968Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-science-leadership-exchange-best"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/7614174854?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Despite an increasing awareness of the role data science plays in successful business outcomes, data science leaders still struggle to organize, implement and communicate effective data science initiatives. <br></br> <br></br> Join “Data Science Leadership Exchange: Best Practices for Driving Outcomes,” and gain advice on optimizing your data management… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-science-leadership-exchange-best"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/7614174854?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Despite an increasing awareness of the role data science plays in successful business outcomes, data science leaders still struggle to organize, implement and communicate effective data science initiatives. <br /> <br /> Join “Data Science Leadership Exchange: Best Practices for Driving Outcomes,” and gain advice on optimizing your data management strategies. In this latest Data Science Central webinar, some of the industry’s best and brightest from Bayer, S&amp;P Global and Transamerica will be presenting their insights and experiences. <br /> <br /> Sponsored by Domino Data Lab, our distinguished group of panelists will discuss:<br /> <br /> The pros and cons of different data science organizational structures<br /> Best practices across each phase of the data science lifecycle, from model ideation through production models ops and ongoing model management<br /> Firsthand success stories — and answers to your questions<br /> <br /> Speakers: <br /> Brian Loyal, Cloud Analytics Lead - Bayer Crop Science<br /> Patrick Harrison, Director of AI Engineering - S&amp;P Global<br /> Matt Cornett, Director of Data Science - Transamerica<br /> <br /> Hosted by: <br /> Bill Vorhies, Editorial Contributor - Data Science Central