All Videos Tagged Data (Data Science Central) - Data Science Central 2020-09-23T00:33:33Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data&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 DSC Webinar Series: Natural Language Trends in Visual Analysis tag:www.datasciencecentral.com,2020-08-06:6448529:Video:975964 2020-08-06T23:15:51.515Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-natural-language-trends-in-visual-analysis"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/7301291278?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics, natural language has been shown to help improve the overall cognition of visualization tasks.<br></br> <br></br> In this latest Data Science Central webinar, Vidya will discuss… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-natural-language-trends-in-visual-analysis"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/7301291278?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics, natural language has been shown to help improve the overall cognition of visualization tasks.<br /> <br /> In this latest Data Science Central webinar, Vidya will discuss how natural language can be leveraged in various aspects of the analytical workflow ranging from smarter data transformations, visual encodings, autocompletion to supporting analytical intent. More recently, chatbot systems have garnered interest as conversational interfaces for a variety of tasks. Machine learning approaches have proven to be promising for approximating the heuristics and conversational cues for continuous learning in a chatbot interface.<br /> <br /> Vidya will explore the implications for these data-driven approaches in broadening the scope for visual analysis workflows. She will also discuss the future directions for research and innovation in this space.<br /> <br /> Speaker: <br /> Vidya Setlur, Principal Research Scientist - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Your Model Will Probably Fail (And How to Prevent it) tag:www.datasciencecentral.com,2020-07-16:6448529:Video:962530 2020-07-16T23:17:17.386Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-your-model-will-probably-fail-and-how-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6939351082?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to less technical stakeholders. Tableau can solve both of these challenges by designing R workflows and creating visualizations that break complicated models down into easily… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-your-model-will-probably-fail-and-how-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6939351082?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to less technical stakeholders. Tableau can solve both of these challenges by designing R workflows and creating visualizations that break complicated models down into easily understandable stories.<br /> <br /> In this latest Data Science Central webinar, you will see some of the ways that you can use Tableau Prep and Desktop to bring data science to all of your users and help empower more data-informed decisions.<br /> <br /> Speaker: <br /> Alyssa Peck, Data Scientist - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: DataOps: How Bell Canada Powers their Business with Data tag:www.datasciencecentral.com,2020-07-15:6448529:Video:962289 2020-07-15T22:44:32.762Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-dataops-how-bell-canada-powers-their-business"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6911730865?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Agile data management has become a necessity for organizations that need to maximize the value of their data. The business is focused on outcomes but the bulk of the effort is built around data processing and delivery.  Demand for data outstrips the capacity of IT organizations and data engineering teams to deliver. New data management… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-dataops-how-bell-canada-powers-their-business"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6911730865?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Agile data management has become a necessity for organizations that need to maximize the value of their data. The business is focused on outcomes but the bulk of the effort is built around data processing and delivery.  Demand for data outstrips the capacity of IT organizations and data engineering teams to deliver. New data management practices that adapt the practices DevOps to support data operations (DataOps) are the key to agility in data management. The enabling technologies exist today and data management practices are moving quickly toward a future of DataOps. DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics.<br /> <br /> In this latest Data Science Central webinar, you will learn:<br /> <br /> How to identify the most impactful bottlenecks sitting in the way of streamlined data processing<br /> How to evaluate multiple strategies for improving data processing outcomes and their relative impact<br /> Where to prioritize people, process, and technology changes to maximize impact<br /> How Bell revolutionized their data delivery framework by incorporating DataOps principles and technology<br /> <br /> Speakers: <br /> Johnathan Bald, Sr. Director of Sales - Hitachi Vantara<br /> Jude Vanniasinghe, Sr. Manager of Business Intelligence - Bell<br /> <br /> Presentation Moderator: <br /> Mike Williams, Global Solution Lead, Analytics and IoT - Hitachi Vantara<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Productive, Self-Service Data Science tag:www.datasciencecentral.com,2020-06-30:6448529:Video:960576 2020-06-30T22:05:19.734Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-productive-self-service-data-science"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6476888073?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data science is a core part of an organization’s digital transformation strategy.  The algorithms the data science team creates are key to reducing the amount of time key stakeholders spend on manual processes and low-level decision making. Benefits to this approach include; reducing redundant requests, streamlining communication, reducing… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-productive-self-service-data-science"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6476888073?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data science is a core part of an organization’s digital transformation strategy.  The algorithms the data science team creates are key to reducing the amount of time key stakeholders spend on manual processes and low-level decision making. Benefits to this approach include; reducing redundant requests, streamlining communication, reducing onboarding time and making valuable knowledge on the data searchable to the entire data science team. <br /> <br /> To create those algorithms, data scientists need high-quality, trusted data.  American Family Insurance has more than ten million active policies and processes more than one million insurance claims per year.<br /> <br /> In this latest Data Science Central webinar, discover how American Family Insurance’s use of the Alation Data Catalog is enabling more productive data science outcomes with trusted, curated data.<br /> <br /> Speakers: <br /> Sean Kappes, Data Science Engineer - American Family Insurance<br /> Raja Perumal, Data Architect - Alation<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central