Tim Matteson's Videos (Data Science Central) - Data Science Central 2021-06-16T01:08:27Z https://www.datasciencecentral.com/video/video/listForContributor?screenName=2edcolrgc4o4b&rss=yes&xn_auth=no 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 DSC Webinar Series: AI + BI: Fueling Deeper Business Insights and Edge tag:www.datasciencecentral.com,2020-06-30:6448529:Video:960631 2020-06-30T22:04:14.436Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ai-bi-fueling-deeper-business-insights-and"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6476869060?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand.<br></br> <br></br> In this latest… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ai-bi-fueling-deeper-business-insights-and"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6476869060?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand.<br /> <br /> In this latest Data Science Central webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards.  At the intersection of data and creative, strategy and execution, Tinuiti partners with brands to identify, engage, and acquire, retain, and reactivate customers across their digital journey. Meanwhile, Texas Mutual Insurance Company, the leading workers' compensation provider for its namesake state, works to meet the daily needs of more than 64,000 business owners and their 1.4 million workers. Despite being in very different industries and having two very different goals, these two leading organizations both realize that the combination of AI + BI can help them more effectively and efficiently achieve success.  <br /> <br /> Register for this webinar and learn:<br /> <br /> • How Tinuiti and Texas Mutual are leveraging AI and BI to uncover more powerful insights faster, and what it means for each of their respective businesses<br /> <br /> • Why democratizing data insights beyond the data science team and line of business is key to empowering all decision makers with relevant insights<br /> <br /> • How DataRobot and Tableau contribute to greater business productivity and edge, as well as business recovery during these challenging times<br /> <br /> Speakers: <br /> Roger D. Humecky, Vice President, Advanced Analytics - Texas Mutual Insurance<br /> Annica Nesty, Senior Director, Marketing Science - Tinuiti<br /> Emily Webber, Customer Facing Data Scientist - DataRobot<br /> Blair Hutchinson, Product Manager - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central