All Videos Tagged SAS (Data Science Central) - Data Science Central 2021-11-28T09:12:00Z https://www.datasciencecentral.com/video/video/listTagged?tag=SAS&rss=yes&xn_auth=no DSC Webinar Series: Implementing Deep Learning Models in Streaming Analytics Projects tag:www.datasciencecentral.com,2021-11-02:6448529:Video:1075396 2021-11-02T22:46:15.200Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch Often the hardest part of a project is the “final mile” - getting deep learning models into production and yielding results. In order to accelerate this process, you need an effective approach that supports ONNX (open neural network exchange) format models for inferencing -- allowing you to leverage trained ONNX format models to implement streaming analytics in the cloud or at the edge.<br></br> <br></br> You can focus on training the most effective model for the problem at hand by simplifying the… Often the hardest part of a project is the “final mile” - getting deep learning models into production and yielding results. In order to accelerate this process, you need an effective approach that supports ONNX (open neural network exchange) format models for inferencing -- allowing you to leverage trained ONNX format models to implement streaming analytics in the cloud or at the edge.<br /> <br /> You can focus on training the most effective model for the problem at hand by simplifying the task of deployment on various supported GPU and CPU hardware with capabilities that remove a lot of the model deployment complexity.<br /> <br /> In this latest Data Science Central webinar, you will learn:<br /> • How to inference models like neural nets for computer vision use cases, including object detection and classification.<br /> • How the integration of ONNX Runtime with SAS Event Stream Processing combines streaming analytics with simplified testing and deployment on different GPU and CPU accelerated hardware.<br /> • How you can deploy ONNX format models to gain maximum benefit using sample projects provided through GitHub examples<br /> <br /> Speakers:<br /> Steven Allan, Senior Product Manager - SAS<br /> Daniele Cazzari, Global Lead IoT, Edge and Cloud Analytics Solutions - SAS<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - DSC DSC Webinar Series: Catalyzing Banking Innovation with SAS Viya on Microsoft Azure tag:www.datasciencecentral.com,2021-09-28:6448529:Video:1070283 2021-09-28T21:42:43.868Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch Cloud-native analytics platforms enable data scientists across industries to move faster and smarter than ever. The advantages accelerate when the analytics platform is both cloud-native and open-source compatible. In the most recent SAS Global Hackathon, all teams were provided access to the SAS® Viya® platform over Microsoft® Azure® cloud, which put all teams on the same level playing field in terms of opportunities to innovate.<br></br> <br></br> This latest Data Science Central webinar features a… Cloud-native analytics platforms enable data scientists across industries to move faster and smarter than ever. The advantages accelerate when the analytics platform is both cloud-native and open-source compatible. In the most recent SAS Global Hackathon, all teams were provided access to the SAS® Viya® platform over Microsoft® Azure® cloud, which put all teams on the same level playing field in terms of opportunities to innovate.<br /> <br /> This latest Data Science Central webinar features a discussion with two leaders from the banking track of the Hackathon. They will examine the innovative approaches to problem solving taken by the banking teams, such as a machine learning-driven loan application process, models to explore sustainability performance, to predict / prevent fraud, and more. They will delve into the enabling role of the SAS Viya on Azure environments that they hacked in and how those advantages might transfer more broadly to the rich opportunities made possible by digital transformation. <br /> <br /> Tune in as they explore how cloud-deployed analytics are changing the pace of innovation in banking in ways that are sure to open up new horizons for the data scientist to address broad industry challenges, such as risk modeling, anti-money laundering, stress testing and various forms of fraud detection and prevention.<br /> <br /> Speakers:<br /> James Swinnerton, Principal Solutions Architect - SAS<br /> Alex Kwiatkowski, Advisory Industry Consultant - SAS<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: ML/AI Models: Continuous Integration & Deployment tag:www.datasciencecentral.com,2019-12-11:6448529:Video:914196 2019-12-11T23:49:08.649Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-ai-models-continuous-integration-deployme-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3765904026?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to support moving data science from research into operations. It all begins with repeatable data wrangling processes that support building and deploying models. It also… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-ai-models-continuous-integration-deployme-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3765904026?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to support moving data science from research into operations. It all begins with repeatable data wrangling processes that support building and deploying models. It also requires collaboration between data scientists, engineers and business analysts. With the help of tools like SAS® Model Manager, these teams can continuously and automatically train models at scale and ensure the best models are put into production.<br /> <br /> In this latest Data Science Central webinar we will discuss:<br /> <br /> Model validation best practices<br /> Various model deployment options including open source models<br /> Model scoring and training services<br /> Model performance monitoring<br /> Orchestrating a continuous learning platform<br /> <br /> <br /> Speakers:<br /> Wayne Thompson, Chief Data Scientist - SAS<br /> Lora Edwards, Principal Product Manager - SAS<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central Advanced Tool for Dynamic Visual Analytics tag:www.datasciencecentral.com,2017-12-02:6448529:Video:660015 2017-12-02T18:37:53.378Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/advanced-tool-for-dynamic-visual-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532133?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>As you journey through the age of self-service analytics it’s important to understand and explore your data in impactful new ways. There are critical drivers for making better decisions – can you see them? Why did something happen? Have you examined all options and uncovered opportunities hidden deep in your data?<br></br> <br></br> Join us for this Data Science… <a href="https://www.datasciencecentral.com/video/advanced-tool-for-dynamic-visual-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532133?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />As you journey through the age of self-service analytics it’s important to understand and explore your data in impactful new ways. There are critical drivers for making better decisions – can you see them? Why did something happen? Have you examined all options and uncovered opportunities hidden deep in your data?<br /> <br /> Join us for this Data Science Central webinar to uncover new data visualizations by SAS® – including third party customized ones, a refined user experience to improve productivity, self-service data preparation, and the power of location analytics to visualize data in new contexts. These enhancements will highlight and provide understanding for key relationships, outliers, clusters and more, revealing vital insights that inspire action<br /> <br /> Speakers:<br /> <br /> Tapan Patel, Principal Product Marketing Manager, Business Intelligence and Analytics -- SAS<br /> Steve Mellgren, Senior Solutions Architect, Business Visualization Practice -- SAS<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central