All Videos Tagged Learning” (Data Science Central) - Data Science Central 2021-05-10T01:42:19Z https://www.datasciencecentral.com/video/video/listTagged?tag=Learning%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform tag:www.datasciencecentral.com,2020-12-16:6448529:Video:1005272 2020-12-16T23:50:02.749Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-knowledge-graph-and-machine-learning-3-key"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8296078877?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-knowledge-graph-and-machine-learning-3-key"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8296078877?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are driving three key data science capabilities to deliver the business outcomes organizations need:<br /> <br /> Connect internal and external datasets and pipelines with a distributed Graph Database - UnitedHealth Group is connecting 200+ sources to deliver a real-time customer 360 to improve quality of care for 50 million members and deliver call center efficiencies.  Xandr (part of AT&amp;T) is connecting multiple data pipelines to build an identity graph for entity resolution to power the next-generation AdTech platform.<br /> <br /> Analyze connected data for never-before insights with Advanced Analytics - Jaguar Land Rover has accelerated supply chain planning from three weeks to 45 minutes, reduced supplier risk by 35% and is driving three times the business value from the data.<br /> Learn from the connected data with In-Database Machine Learning - Intuit has built an AI-based customer 360 with in-database machine learning for entity resolution, personalized recommendations and fraud detection. Knowledge graph combined with machine learning is central to Intuit’s transformation into an AI-driven expert platform.<br /> Join us for this latest Data Science Central webinar as we share design considerations and deployment best practices from these case studies by combining knowledge graphs with machine learning. <br /> <br /> Speaker: <br /> Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph<br /> <br /> Hosted by: <br /> Kurt Cagle, Community Editor - Data Science Central DSC Webinar Series: Cloud Data Warehouse Automation at Greenpeace International tag:www.datasciencecentral.com,2020-12-10:6448529:Video:1004790 2020-12-10T23:41:56.707Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-cloud-data-warehouse-automation-at-greenpeace"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8271559895?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The cornerstone of fleet management is maritime reports, which record everything that has happened onboard any given ship in the past 24 hours. The difficulty of quickly analyzing these reports is that each captain sends different data, resulting in a complex mixture of Excel, Google Sheets and applications accessible via APIs. …<br></br> <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-cloud-data-warehouse-automation-at-greenpeace"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8271559895?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The cornerstone of fleet management is maritime reports, which record everything that has happened onboard any given ship in the past 24 hours. The difficulty of quickly analyzing these reports is that each captain sends different data, resulting in a complex mixture of Excel, Google Sheets and applications accessible via APIs. <br /> <br /> The solution? An end-to-end automated cloud data warehouse that allows Greenpeace to ingest its maritime reports, quickly prepare them, and publish the results out in a simple consumable format. Torbjorn Zetterlund, Digital Innovation Manager at Greenpeace International, manages the entire process single-handedly. Despite the complexity of the data problem at hand, Zetterlund has been able to leverage this solution to vastly improve the speed and accuracy of mission-critical reporting. <br /> <br /> In this latest Data Science Central webinar, you will learn from an experienced practitioner on:<br /> <br /> Best practices for building an end-to-end cloud data warehouse (data collection, data preparation and reporting)<br /> How to turn disparate and inconsistent data into clean and normalized data that’s ready for reporting<br /> How to automate a data pipeline (from connected and disconnected sources) and manage the unexpected<br /> How to deliver a solution in record time with a one-man team<br /> Speakers:<br /> Bertrand Cariou, Sr. Director Product - Trifacta <br /> Torbjorn Zetterlund, Digital Innovation Manager - Greenpeace International<br /> <br /> Hosted by:<br /> Sean Welch, Host &amp; Producer - Data Science Central 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: No-code ML for Forecasting and Anomaly Detection tag:www.datasciencecentral.com,2020-06-02:6448529:Video:955494 2020-06-02T21:36:37.902Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-no-code-ml-for-forecasting-and-anomaly"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5526174271?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time-series Machine Learning tasks such as Forecasting and Anomaly Detection, directly within the Influx platform without the need to use external tools, languages and services<br></br> <br></br> During this webinar, you will learn:…<br></br> <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-no-code-ml-for-forecasting-and-anomaly"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5526174271?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time-series Machine Learning tasks such as Forecasting and Anomaly Detection, directly within the Influx platform without the need to use external tools, languages and services<br /> <br /> During this webinar, you will learn:<br /> <br /> How to initiate Machine Learning tasks directly within the Influx visual interface without intimate knowledge of how these algorithms are implemented<br /> How data scientists can wrap existing, or develop new, Machine Learning algorithms for publication to the Influx time-series platform using familiar languages and frameworks <br /> <br /> Speaker: <br /> Dean Sheehan, Field CTO - InfluxData<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central 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