All Videos Tagged DSC Podcast Series (Data Science Central) - Data Science Central 2020-07-11T07:49:38Z https://www.datasciencecentral.com/video/video/listTagged?tag=DSC+Podcast+Series&rss=yes&xn_auth=no DSC Podcast Series: Tackling the Challenges of Production Model Deployment with MLOps tag:www.datasciencecentral.com,2020-06-09:6448529:Video:956771 2020-06-09T22:48:34.413Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-tackling-the-challenges-of-production-model-de"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5778153687?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br></br> <br></br> What if there was a better way? Machine learning operations (MLOps) practices and technology… <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-tackling-the-challenges-of-production-model-de"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5778153687?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br /> <br /> What if there was a better way? Machine learning operations (MLOps) practices and technology help bridge the gap between data science and IT so that IT operations can deploy and manage models in production. In this latest Data Science Central podcast, we explore the best practices in four areas of MLOps: Production Model Deployment, Production Model Monitoring, Production Lifecycle Management, and Production Model Governance.<br /> <br /> Speaker:<br /> Dan Darnell, Senior Director on the MLOps Product Team – DataRobot<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Podcast Series: Production Model Monitoring tag:www.datasciencecentral.com,2020-06-09:6448529:Video:956768 2020-06-09T22:47:35.419Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-production-model-monitoring"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5778132654?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>You want to scale your use of AI, but you are blocked by production issues. Which means that data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br></br> <br></br> What if there was a better way? Machine Learning Operations (MLOps) will get your AI projects out of the lab and into production… <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-production-model-monitoring"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5778132654?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />You want to scale your use of AI, but you are blocked by production issues. Which means that data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br /> <br /> What if there was a better way? Machine Learning Operations (MLOps) will get your AI projects out of the lab and into production where they can generate value and help transform your business. In this installment of four Data Science Central Podcasts on MLOps, we explore best practices in Production Model Monitoring.<br /> <br /> Speaker:<br /> Sivan Metzger, Managing Director, ML Ops &amp; Governance - DataRobot<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Podcast Series: Production Lifecycle Management: MLOps tag:www.datasciencecentral.com,2020-06-09:6448529:Video:956765 2020-06-09T22:43:33.339Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-production-lifecycle-management-mlops"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5778050475?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br></br> <br></br> What if there was a better way? Machine learning operations (MLOps) practices and technology help… <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-production-lifecycle-management-mlops"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5778050475?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and maintain their models, which is costly and takes away from doing new data science.<br /> <br /> What if there was a better way? Machine learning operations (MLOps) practices and technology help bridge the gap between data science and IT so that IT operations can deploy and manage models in production. In this latest Data Science Central podcast, we explore the best practices in four areas of MLOps: Production Model Deployment, Production Model Monitoring, Production Lifecycle Management, and Production Model Governance.<br /> <br /> Speaker:<br /> Dan Darnell, Senior Director on the MLOps Product Team – DataRobot<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Podcast Series: The Human Impact of Data Literacy: 5 Steps to Driving Data Leadership in 2020 tag:www.datasciencecentral.com,2020-06-09:6448529:Video:956759 2020-06-09T22:40:53.727Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-the-human-impact-of-data-literacy-5-steps-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5777990473?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data analytics technology is better than ever. In fact, today’s solutions have developed so quickly that most employees don’t have the skills to harness their power. Businesses are at a tipping point in becoming data-driven, and the workforce skills gap is a barrier.<br></br> <br></br> The Human Impact of Data Literacy, a recent report from… <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-the-human-impact-of-data-literacy-5-steps-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5777990473?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data analytics technology is better than ever. In fact, today’s solutions have developed so quickly that most employees don’t have the skills to harness their power. Businesses are at a tipping point in becoming data-driven, and the workforce skills gap is a barrier.<br /> <br /> The Human Impact of Data Literacy, a recent report from Accenture and Qlik, reveals the many opportunities a data-literate culture can deliver – including advice for how to get there. During the podcast, The Human Impact of Data Literacy, you’ll learn more about the findings, including:<br /> <br /> ·  The size of the opportunity – up to $500M*<br /> ·  The 3 main barriers to becoming data-driven<br /> ·  5 steps for building a data-informed workforce<br /> <br /> Speaker:<br /> Jordan Morrow, Global Head of Data Literacy - Qlik<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central<br /> <br /> (*): The Data Literacy Index, commissioned by Qlik and conducted by IHS Markit, PSB Research, and academics from the Wharton School at UPenn. DSC Podcast Series: AI: Taxonomy & Beyond tag:www.datasciencecentral.com,2020-06-09:6448529:Video:956756 2020-06-09T22:38:52.520Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-ai-taxonomy-beyond"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5777947286?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In today’s Data Science Central podcast, we will cover, at a high level, the main concepts of AI. We will give examples of what the areas of AI are, including Machine Learning, Text Analytics and Computer Vision.<br></br> <br></br> We will also share real life use cases of how these techniques are applied in the industry. You will get a much broader view of the overall AI… <a href="https://www.datasciencecentral.com/video/dsc-podcast-series-ai-taxonomy-beyond"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5777947286?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In today’s Data Science Central podcast, we will cover, at a high level, the main concepts of AI. We will give examples of what the areas of AI are, including Machine Learning, Text Analytics and Computer Vision.<br /> <br /> We will also share real life use cases of how these techniques are applied in the industry. You will get a much broader view of the overall AI scope.<br /> Speaker:<br /> Haidar Altaie, Data Scientist - SAS UKI<br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central