All Videos Tagged Data Analysis”, (Data Science Central) - Data Science Central 2021-02-28T07:42:27Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Analysis%E2%80%9D%2C&rss=yes&xn_auth=no DSC Webinar Series: Top 3 Imperatives to Scale Analytics Across the Enterprise tag:www.datasciencecentral.com,2021-02-17:6448529:Video:1031077 2021-02-17T23:55:35.033Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-3-imperatives-to-scale-analytics-across"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8566372283?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Organizations are keenly aware that data and analytics can unlock hidden opportunities and create a competitive advantage.  However, only about 25% of organizations have forged a data driven culture*.  Join this latest Data Science Central webinar to understand the essential imperatives to scale analytics across the enterprise.  Join this… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-3-imperatives-to-scale-analytics-across"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8566372283?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Organizations are keenly aware that data and analytics can unlock hidden opportunities and create a competitive advantage.  However, only about 25% of organizations have forged a data driven culture*.  Join this latest Data Science Central webinar to understand the essential imperatives to scale analytics across the enterprise.  Join this webinar to learn how to: <br /> <br /> <br /> Quickly create and deploy analytic apps fueled by data science and ML<br /> <br /> Easily integrate with cloud services and frameworks to create innovative data science pipelines<br /> <br /> Learn to master the art of turning insights into actions with visual analytics, machine learning and streaming analytics<br /> <br /> [*Source: New Vantage Partners Big Data and AI Executive Survey 2021]<br /> <br /> Speakers:<br /> Neil Kanungo, Data Scientist - TIBCO Software, Inc.<br /> Monica Cisneros, Product Marketing Manager - TIBCO Software, Inc.<br /> Adam Faskowitz, Data Scientist - TIBCO Software, Inc. <br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Data, Analytics and Decision-making: A Neuroscience POV tag:www.datasciencecentral.com,2020-12-22:6448529:Video:1006004 2020-12-22T23:38:51.716Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-analytics-and-decision-making-a"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8322234260?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>This special 30-minute interactive Data Science Central webinar includes a series of audience games and experiments that explore the relationship between people and data through the neuroscience of human perception, memory, decision making, and narrative.  <br></br> <br></br> Watch to gain a clear understanding of how people make decisions and experience… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-analytics-and-decision-making-a"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8322234260?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />This special 30-minute interactive Data Science Central webinar includes a series of audience games and experiments that explore the relationship between people and data through the neuroscience of human perception, memory, decision making, and narrative.  <br /> <br /> Watch to gain a clear understanding of how people make decisions and experience their world to help uncover the best ways to guide analytics functions and set an agenda for a data-driven culture within your own organization, through a series of practical, real-world examples.<br /> <br /> Speaker: <br /> Naisan Guela, Senior Director - Tableau<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: How to Accelerate and Scale Your Data Science Workflows tag:www.datasciencecentral.com,2020-06-11:6448529:Video:957244 2020-06-11T23:19:56.717Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-accelerate-and-scale-your-data-science"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/5858190275?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data scientists are faced with requests for information on a regular basis—from our colleagues, our bosses, or our clients. At the beginning of the analytic process, it's rare that requests are made or organized in a way that makes them easy to fulfill. It is our job to systematically unpack these requests and organize them in a way that… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-accelerate-and-scale-your-data-science"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/5858190275?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data scientists are faced with requests for information on a regular basis—from our colleagues, our bosses, or our clients. At the beginning of the analytic process, it's rare that requests are made or organized in a way that makes them easy to fulfill. It is our job to systematically unpack these requests and organize them in a way that allows us to take action and build analyses that accurately address the initial request—and to do it quickly, with the least amount of back-and-forth possible.<br /> <br /> In this latest Data Science Central webinar, learn practical techniques to optimize your workflow, as well as the logic behind this methodology. Sam Priddy will dissect some of the situations you likely encounter on a daily basis. He’ll also discuss how to use these techniques to help people see and understand their data at the speed of thought.<br /> <br /> Speaker: <br /> Sam Priddy, Data Visualization Guide - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Graph Algorithms Combined with ML are Saving the World tag:www.datasciencecentral.com,2020-04-30:6448529:Video:948778 2020-04-30T22:44:41.875Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-graph-algorithms-combined-with-ml-are-saving"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4600406261?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Graph algorithms such as PageRank, community detection and similarity matching have moved from the classroom to the data scientist's and business analyst's toolkit. Organizations are gaining actionable insights by connecting and analyzing their data. <br></br> <br></br> Machine learning is an essential approach for getting the most insight out of… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-graph-algorithms-combined-with-ml-are-saving"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4600406261?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Graph algorithms such as PageRank, community detection and similarity matching have moved from the classroom to the data scientist's and business analyst's toolkit. Organizations are gaining actionable insights by connecting and analyzing their data. <br /> <br /> Machine learning is an essential approach for getting the most insight out of your data. Machine learning enables data scientists and business users to scale their analysis and, when used in combination with graph algorithms, provides unprecedented insights that can have significant real-world impact.<br /> <br /> In this latest Data Science Central webinar, we will:<br /> <br /> Describe the five categories of graph algorithms: Shortest Path, Centrality, Community Detection, Similarity, and Classification;<br /> Explain how graphs provide an intuitive data model to improve the accuracy of supervised machine learning with new training data &amp; power explainable AI;<br /> Examine how in-database machine learning such as deep learning, community detection, and low rank approximation is possible with scalable native graph databases;<br /> Demonstrate how modern graph analytics tools can provide no-code data import, querying, feature extraction, and ML training.<br /> <br /> We will cover use cases and case studies for graph analytics and machine learning that include real-time fraud detection at four of the top five global banks, personalized offers for 300 million consumers and care path recommendations to improve the well being of 50 million patients. We will also share open source community initiatives that are leveraging graph analytics to analyze COVID-19 data.<br /> <br /> Speakers:<br /> Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph<br /> Emma Liu, Senior Product Manager - TigerGraph<br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: How a Physics-Driven Analytics Platform Detects Reliability Threats tag:www.datasciencecentral.com,2020-02-26:6448529:Video:934284 2020-02-26T23:57:18.838Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-a-physics-driven-analytics-platform"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3939874431?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-a-physics-driven-analytics-platform"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3939874431?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose a time series database for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.<br /> <br /> During this latest Data Science Central webinar in association with IoTCentral, learn how using a purpose-built time series database helps to continuously optimize reliability of their customers’ connected mechanical systems.<br /> <br /> <br /> Speaker:<br /> Jon Herlocker, President and CEO - Tignis<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central