All Videos Tagged , (Data Science Central) - Data Science Central 2020-06-02T12:19:43Z https://www.datasciencecentral.com/video/video/listTagged?tag=%2C&rss=yes&xn_auth=no DSC Webinar Series: Edge Computing with Real-time Analytics at Scale tag:www.datasciencecentral.com,2019-12-12:6448529:Video:914389 2019-12-12T23:46:52.594Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-edge-computing-with-real-time-analytics-at"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3767434029?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-edge-computing-with-real-time-analytics-at"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3767434029?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data processing framework Kapacitor.<br /> <br /> In this latest Data Science Central webinar, we will share how to build this point-and-click solution to help customers unlock the power of high-frequency data in real-time to become a data-driven organization.<br /> <br /> Speakers:<br /> Anil Joshi, CEO - AnalyticsPlus, Inc.<br /> Pankaj Bhagra, Co-Founder and Software Architect - Nebbiolo Technologies<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Data Mastering at Scale tag:www.datasciencecentral.com,2019-10-30:6448529:Video:903806 2019-10-30T00:48:10.189Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-mastering-at-scale"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3686726325?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Master data management (MDM) software turned 15 years old this year.<br></br> <br></br> Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products, employees, suppliers, physical assets and other data across their many IT… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-mastering-at-scale"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3686726325?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Master data management (MDM) software turned 15 years old this year.<br /> <br /> Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products, employees, suppliers, physical assets and other data across their many IT systems.<br /> <br /> MDM is valuable, but it’s also slow, labor-intensive, and costly. As the scale of MDM projects increases to millions of entities and hundreds or thousands of data sources, the traditional methods often fail.<br /> <br /> Mike Stonebraker will share his view on how MDM technology and MDM organizations must change to fulfill the promise of MDM at scale. In this latest Data Science Central webinar, we will review:<br /> <br /> Why large enterprises need data management solutions that solve data mastering challenges at scale<br /> Why traditional, rule-based, data mastering options are struggling to keep up<br /> How Machine Learning can be used to address large-scale data mastering challenges<br /> <br /> Speaker:<br /> Mike Stonebraker, CTO &amp; Co-Founder - Tamr, Inc.<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Making AI Work in the Real World: How Real Companies Get Real Value with AI tag:www.datasciencecentral.com,2019-07-02:6448529:Video:850987 2019-07-02T16:16:14.793Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br></br> <br></br> In this latest Data Science Central webinar, Alyssa… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br /> <br /> In this latest Data Science Central webinar, Alyssa Simpson Rochwerger of Figure Eight takes an industry-by-industry perspective on true AI adoption.<br /> <br /> We will cover:<br /> <br /> An approach to AI that realizes business value<br /> Real-world examples of businesses using AI to improve their bottom line<br /> Real-world use cases in e-commerce, enterprise software, robotics &amp; IoT, AgTech, and more<br /> <br /> <br /> We will separate the hype from the reality, the theoretical from the practical, and the research labs from ROI.<br /> <br /> <br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP of Product - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: The State of Data Preparation in 2019 tag:www.datasciencecentral.com,2019-06-25:6448529:Video:846235 2019-06-25T21:30:56.229Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join this latest Data Science Central webinar with Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an overview of the data preparation market. In the session, Howard reviews findings from his 2019 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> This webinar will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations – what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> <br /> Speakers:<br /> Howard Dresner, Chief Research Officer Analyst - Dresner Advisory Services<br /> Will Davis, Senior Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Making AI Work in the Real World: How Real Companies Get Real Value with AI tag:www.datasciencecentral.com,2019-03-12:6448529:Video:809082 2019-03-12T20:29:00.025Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/1392344430?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br></br> <br></br> In this latest Data Science Central webinar, Alyssa… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1392344430?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br /> <br /> In this latest Data Science Central webinar, Alyssa Simpson Rochwerger of Figure Eight takes an industry-by-industry perspective on true AI adoption.<br /> <br /> We will cover:<br /> <br /> An approach to AI that realizes business value<br /> Real-world examples of businesses using AI to improve their bottom line<br /> Real-world use cases in e-commerce, enterprise software, robotics &amp; IoT, AgTech, and more<br /> <br /> We will separate the hype from the reality, the theoretical from the practical, and the research labs from ROI.<br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP of Product - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central