All Videos Tagged IBM (Data Science Central) - Data Science Central 2020-06-01T00:18:19Z https://www.datasciencecentral.com/video/video/listTagged?tag=IBM&rss=yes&xn_auth=no Deep Learning - From Basic Principles through Training Models for Deployment into Production tag:www.datasciencecentral.com,2017-11-30:6448529:Video:658766 2017-11-30T03:48:59.867Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/deep-learning-from-basic-principles-through-training-models-for-d"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532365?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>What are neural networks, but more important, how are they trained in practice? How can data scientists design an optimal neural network when a single training run can take 2 weeks? In this Data Science Central webinar we will start from the foundation of what deep learning is then fast forward through what it takes to train a production… <a href="https://www.datasciencecentral.com/video/deep-learning-from-basic-principles-through-training-models-for-d"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532365?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />What are neural networks, but more important, how are they trained in practice? How can data scientists design an optimal neural network when a single training run can take 2 weeks? In this Data Science Central webinar we will start from the foundation of what deep learning is then fast forward through what it takes to train a production quality neural network. You won't be able to train a network when this talk is over, but you'll understand enough basics to start smart conversations about our customers' practice of deep learning.<br /> <br /> Speaker: Anthony Stevens, Offering Manager, Watson Deep Learning -- IBM Watson and Cloud Platform<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Predictive Forecasting with Time Series Analysis tag:www.datasciencecentral.com,2017-11-10:6448529:Video:647832 2017-11-10T03:50:28.903Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/predictive-forecasting-with-time-series-analysis"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532111?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of… <a href="https://www.datasciencecentral.com/video/predictive-forecasting-with-time-series-analysis"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532111?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.<br /> <br /> In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.<br /> <br /> Speakers:<br /> <br /> Murali Prakash, IBM Product Manager -- IBM SPSS<br /> Mikhail Lakirovich, IBM Offering Manager -- IBM SPSS<br /> Douglas Stauber, IBM Offering Manager -- IBM SPSS<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central Real-Time Analytics for IoT with Apache Edgent and IBM Streams tag:www.datasciencecentral.com,2017-09-22:6448529:Video:624177 2017-09-22T03:55:30.081Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/real-time-analytics-for-iot-with-apache-edgent-and-ibm-streams"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530958?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Real-Time Analytics for IoT with Apache Edgent and IBM Streams<br></br> <br></br> Sensors are everywhere and the number of connected devices is growing, spitting out massive streams of data. With real time analytics, you can monitor what's happening in the world, use resources more efficiently and even get greater efficiencies running on the… <a href="https://www.datasciencecentral.com/video/real-time-analytics-for-iot-with-apache-edgent-and-ibm-streams"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530958?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Real-Time Analytics for IoT with Apache Edgent and IBM Streams<br /> <br /> Sensors are everywhere and the number of connected devices is growing, spitting out massive streams of data. With real time analytics, you can monitor what's happening in the world, use resources more efficiently and even get greater efficiencies running on the cloud.<br /> <br /> In our latest Data Science Central Webinar, IBM Streams Product Manager Roger Rea will discuss:<br /> <br /> How Streaming Analytics plays a key role in creating immediate actionable insights from connecting millions of IoT devices.<br /> How you can expand Analytics to the edge with integration of IBM Streams with Apache Edgent for edge to center analytics.<br /> <br /> Join us as Roger will also show how organizations are leveraging IBM Streams to generate incremental revenue, enrich their customers' experience, and reduce operational risk and costs.<br /> <br /> <br /> Speaker: Roger Rea, IBM Streams Product Manager -- IBM<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central SPSS Statistics to Predict Customer Behavior tag:www.datasciencecentral.com,2017-06-28:6448529:Video:582816 2017-06-28T15:39:03.278Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/spss-statistics-to-predict-customer-behavior"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530240?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should be equipped with the right tools that are powerful, easier to use and able to draw accurate conclusions in understanding the motivations behind customer behaviors. These tools will allow you to… <a href="https://www.datasciencecentral.com/video/spss-statistics-to-predict-customer-behavior"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530240?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should be equipped with the right tools that are powerful, easier to use and able to draw accurate conclusions in understanding the motivations behind customer behaviors. These tools will allow you to derive new insights, aiding in the decision making process.<br /> <br /> In this Data Science Central webinar, you’ll see firsthand how IBM SPSS Statistics will enable you to:<br /> <br /> Quickly understand large and complex datasets using advanced statistical procedures ensuring high accuracy to drive quality decision-making<br /> Reveal deeper customer insights and provide better confidence intervals via visualizations and new analytical techniques<br /> Build a predictive enterprise making the business more agile and maximizing return on investment<br /> Speakers:<br /> <br /> Taylor Perez, Client Technical Specialist - IBM Software -- IBM Analytics<br /> Murali Prakash, Product Manager - IBM Global Markets -- IBM Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central Level Up Your Data Science Team tag:www.datasciencecentral.com,2017-06-20:6448529:Video:579232 2017-06-20T22:00:12.096Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/level-up-your-data-science-team"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781529953?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data… <a href="https://www.datasciencecentral.com/video/level-up-your-data-science-team"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781529953?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data Science Team" and learn data science best practices, tools, and techniques to increase collaboration and productivity.<br /> <br /> Speakers:<br /> <br /> Carlo Appugliese, Big Data and Data Science Evangelist -- IBM Analytics, Watson and Cloud Platform<br /> Alex Jones, IBM Offering Manager, Data Science Experience Local -- IBM Analytics, Watson Data Platform<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central