Tim Matteson's Videos (Data Science Central) - Data Science Central 2020-06-02T21:16:47Z https://www.datasciencecentral.com/video/video/listForContributor?screenName=2edcolrgc4o4b&rss=yes&xn_auth=no DSC Webinar Series: Embracing Responsible AI from Pilot to Production tag:www.datasciencecentral.com,2020-05-27:6448529:Video:954557 2020-05-27T22:52:42.097Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-embracing-responsible-ai-from-pilot-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5403207855?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built responsibly and works for everyone. How you scale from pilot to production is critical to ensuring AI success, while continuing to be a good corporate citizen through responsible productization. In this latest Data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-embracing-responsible-ai-from-pilot-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5403207855?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built responsibly and works for everyone. How you scale from pilot to production is critical to ensuring AI success, while continuing to be a good corporate citizen through responsible productization. In this latest Data Science Central webinar, we’ll talk about the framework for scaling AI pilots to production with a focus on ethical responsibilities and bias mitigation at each step.<br /> <br /> We’ll look at:<br /> <br /> The five-step AI development cycle<br /> Ways to control for unwanted bias across data, models, and run time at the production layer<br /> Explainability and why it is key for moving AI pilots to production that delivers core business value<br /> <br /> Speakers: <br /> Lukas Biewald, Founder &amp; CEO - Weights &amp; Biases<br /> Alyssa Simpson Rochwerger, VP of AI &amp; Data - Appen<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Learn How to Design and Deploy Optimization Applications tag:www.datasciencecentral.com,2020-05-22:6448529:Video:953426 2020-05-22T00:30:12.690Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-learn-how-to-design-and-deploy-optimization"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5234201073?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Interested in learning how to build and deploy modern optimization applications that deliver tremendous business value?<br></br> <br></br> In this latest Data Science Central webinar, you will have the opportunity to see several live optimization application demos. These demos will showcase the power of mathematical optimization applications and… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-learn-how-to-design-and-deploy-optimization"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5234201073?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Interested in learning how to build and deploy modern optimization applications that deliver tremendous business value?<br /> <br /> In this latest Data Science Central webinar, you will have the opportunity to see several live optimization application demos. These demos will showcase the power of mathematical optimization applications and demonstrate how you can deploy these applications on modern IT architectures like Amazon Web Services and Docker.<br /> <br /> We will cover well-known optimization problems, such as the facility location problem and workforce scheduling – we will give you an in-depth look at the user interface, the architecture, and the deployment of optimization applications. During this webinar, we will:<br /> <br /> <br /> Illustrate the business value of optimization.<br /> Demonstrate how to interact with an optimization application.<br /> Show how this application can be implemented within a modern IT architecture.<br /> Go over best practices in deploying your own optimization applications.<br /> <br /> Speaker: <br /> Richard Oberdieck, PhD, Technical Account Manager - Gurobi Optimization<br /> <br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Augmented Analytics for Today’s Business User tag:www.datasciencecentral.com,2020-05-07:6448529:Video:950192 2020-05-07T20:10:34.986Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-augmented-analytics-for-today-s-business-user"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4826601482?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Augmented Analytics is no longer the future – it’s now. <br></br> <br></br> The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there’s confusion about how to move forward. All too often, companies choose one-size-fits-all approaches or rely too heavily on closed, “black-box” algorithms to stand… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-augmented-analytics-for-today-s-business-user"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4826601482?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Augmented Analytics is no longer the future – it’s now. <br /> <br /> The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there’s confusion about how to move forward. All too often, companies choose one-size-fits-all approaches or rely too heavily on closed, “black-box” algorithms to stand in for people. Instead, machine intelligence should work together with human intuition to unlock the best possible decision-making for people of all skill levels.<br /> <br /> In this latest Data Science Central webinar, experts from Qlik will share the latest AI-powered capabilities that enable both user-driven analytics and the democratization of data science. Attendees will get a first-hand look at:<br /> <br /> -   How AI accelerates value for all users by suggesting insights, automating tasks and supporting natural language interaction<br /> -   How organizations can deliver the power of data science and predictive models to business decision-makers in a simple, interactive way<br /> -   Demonstrations featuring Qlik’s augmented analytics capabilities, powered by our unique Associative and Cognitive Engines<br /> <br /> Speakers: <br /> Chris Mabardy, Senior Director of Product Marketing - Qlik<br /> Steven Pressland, Senior Product Manager of Augmented Intelligence - Qlik<br /> <br /> Hosted by: <br /> Sean Welch, Host &amp; Producer - Data Science Central DSC Webinar Series: A Collaborative Approach to Machine Learning tag:www.datasciencecentral.com,2020-05-06:6448529:Video:950224 2020-05-06T22:52:03.941Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-a-collaborative-approach-to-machine-learning"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4798479864?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>It's generally accepted that you need a team with a wide variety of skills to build modern machine learning (ML) pipelines and make them operational. But what does that team look like, and how do they work together? These questions are especially important when the skills required are particularly specialized. When you’re developing… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-a-collaborative-approach-to-machine-learning"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4798479864?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />It's generally accepted that you need a team with a wide variety of skills to build modern machine learning (ML) pipelines and make them operational. But what does that team look like, and how do they work together? These questions are especially important when the skills required are particularly specialized. When you’re developing interactive clinical and healthcare applications (backed by specialized statistical methods and made to scale on terabytes of highly complex data), you want the right people by your side. <br /> <br /> In this latest Data Science Central webinar, we'll describe 3 healthcare and life sciences projects in which business analysts, data scientists, and ML engineers collaborated. These applications and use cases are not only focused on healthcare but across a number of industries.<br /> <br /> Tune in to learn about the latest advances in big data analytics and artificial intelligence (AI) from PerkinElmer. And see real-life examples of how TIBCO data science and analytics solutions combined with the PerkinElmer AI platform can be used to create:<br /> <br /> <br /> An imaging-based phenotypic screening of cell-based disease models using high-content screening (HCS)<br /> Clinical Translational systems designed to detect and score significant biomarkers in clinical prognostication <br /> <br /> Also, find out how, in just three days, a diverse team from TIBCO responded to a critical healthcare challenge, analyzing health outcomes using socioeconomic data from countries around the world.<br /> <br /> Speakers:<br /> <br /> Alberto Pascual, Sr. Manager of AI and Analytics Innovation - PerkinElmer, Inc.<br /> Steven Hillion, Sr. Director of Data Science - TIBCO Software, Inc. <br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Mapping Challenges for Self-Service Analytics tag:www.datasciencecentral.com,2020-05-05:6448529:Video:949883 2020-05-05T22:40:36.243Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mapping-challenges-for-self-service-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4767128686?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>There are many tools designed to make mapping easy for anyone who wants to explore, analyze, and communicate the spatial patterns in their data.  In designing these tools, users experience both the benefits and limitations of systems that are designed to be easy to use and general-purpose, rather than the more complex systems that can be… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mapping-challenges-for-self-service-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4767128686?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />There are many tools designed to make mapping easy for anyone who wants to explore, analyze, and communicate the spatial patterns in their data.  In designing these tools, users experience both the benefits and limitations of systems that are designed to be easy to use and general-purpose, rather than the more complex systems that can be custom designed for any specific user's need. <br /> <br /> In this latest Data Science Central webinar, Research Scientist Sarah Battersby will address some of the technical design and analytics challenges such as technical base map data, map projections, and distortion.  She will also discuss the broader challenges of how people think about maps and how/why these maps will always be just a little bit—or maybe a lot—wrong. Attend and learn how to help people visualize and use spatial information more effectively.<br /> <br /> Speaker: <br /> Sarah Battersby, Research Scientist - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central