Sean Welch's Videos (Data Science Central) - Data Science Central 2021-12-05T13:31:04Z https://www.datasciencecentral.com/video/video/listForContributor?screenName=3bjjz92ghdptl&rss=yes&xn_auth=no DSC Webinar Series: Future-Proofing Your Analytics Investment through AI and Cloud tag:www.datasciencecentral.com,2021-12-04:6448529:Video:1080728 2021-12-04T15:16:18.576Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch Taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future.<br></br> <br></br> In this latest Data Science Central webinar, Wayne, Chris and Denise will explore how the BI market is evolving, and the key technologies that will… Taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future.<br /> <br /> In this latest Data Science Central webinar, Wayne, Chris and Denise will explore how the BI market is evolving, and the key technologies that will unlock the value of your data for everyone. Topics discussed will include:<br /> <br /> - The importance of augmented analytics that leverage AI and natural language processing<br /> - How automated machine learning can bring the power of data science to analytics teams<br /> - Why the rise of cloud analytics is critical to harnessing BI innovation<br /> <br /> Speakers: Wayne Eckerson, President - Eckerson Group<br /> Chris Mabardy, Senior Director of Product Marketing - Qlik<br /> Denise LaForgia, Director of Product Marketing - Qlik<br /> <br /> Moderator: Sean Welch, Host and Producer - DSC DSC Webinar Series: Hidden Context, Adding Information Without Cluttering Your Dashboard tag:www.datasciencecentral.com,2021-11-18:6448529:Video:1077650 2021-11-18T23:51:56.533Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch Sometimes, your dashboard needs a little more explanation for your user. But it doesn’t need to appear on the dashboard all at once. Today’s Data Science Central webinar will uncover a few techniques you can use to add information and update visuals behind the scenes, leaving you with a clean dashboard every time!<br /> <br /> Speaker: Sedale McCall, Director of Digital Insights - Tableau<br /> <br /> Moderator: Sean Welch, Host and Producer - DSC Sometimes, your dashboard needs a little more explanation for your user. But it doesn’t need to appear on the dashboard all at once. Today’s Data Science Central webinar will uncover a few techniques you can use to add information and update visuals behind the scenes, leaving you with a clean dashboard every time!<br /> <br /> Speaker: Sedale McCall, Director of Digital Insights - Tableau<br /> <br /> Moderator: Sean Welch, Host and Producer - DSC DSC Webinar Series: Prescriptive Analytics: The Data Scientist's Master Key to a Turbulent Future tag:www.datasciencecentral.com,2021-11-17:6448529:Video:1077183 2021-11-17T02:02:13.979Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch In this latest Data Science Central webinar, find out why companies like Uber, Air France, SAP, and the NFL use Prescriptive Analytics for continuous innovation.<br></br> <br></br> Leading Data Scientists constantly expand their skill sets to provide more value to their organizations. The best strategy for taking on new tools is to focus on the return on investment of different project types. Mathematical Optimization delivers extreme ROI for organizations that use it. Data Scientists who make the… In this latest Data Science Central webinar, find out why companies like Uber, Air France, SAP, and the NFL use Prescriptive Analytics for continuous innovation.<br /> <br /> Leading Data Scientists constantly expand their skill sets to provide more value to their organizations. The best strategy for taking on new tools is to focus on the return on investment of different project types. Mathematical Optimization delivers extreme ROI for organizations that use it. Data Scientists who make the leap into Mathematical Optimization suddenly discover dramatic cost savings and new efficiencies to offer their management.<br /> <br /> Speaker:<br /> Dan Jeffrey, Senior Technical Account Mgr. - Americas - Gurobi<br /> <br /> Host:<br /> Sean Welch, Host and Producer - DSC 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: AI vs Unstructured Data: Best Practices for Scaling Video AI tag:www.datasciencecentral.com,2021-09-30:6448529:Video:1070644 2021-09-30T21:23:42.862Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch A common challenge for teams working on video machine learning applications is how to scale and automate their ML lifecycle when working with these types of large unstructured datasets.<br></br> <br></br> In this latest Data Science Central webinar, Vincent Koops, Senior Data Scientist at RTL Netherlands, will walk through their Video AI platform at RTL and how they’ve addressed these challenges. Their platform is built on top of Pachyderm and Kubernetes to enable a wide range of ML applications such… A common challenge for teams working on video machine learning applications is how to scale and automate their ML lifecycle when working with these types of large unstructured datasets.<br /> <br /> In this latest Data Science Central webinar, Vincent Koops, Senior Data Scientist at RTL Netherlands, will walk through their Video AI platform at RTL and how they’ve addressed these challenges. Their platform is built on top of Pachyderm and Kubernetes to enable a wide range of ML applications such as automatic thumbnail picking and mid-roll marking.<br /> <br /> Attendees will learn:<br /> - How to take a modular approach to creating a scalable and automated ML platform<br /> - The challenges and best practices when working with unstructured data like video clips<br /> - Considerations your teams need to make to prevent human error while getting the most out of AI and ML