All Videos Tagged Intelligence” (Data Science Central) - Data Science Central 2020-08-06T06:33:09Z https://www.datasciencecentral.com/video/video/listTagged?tag=Intelligence%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: AI + BI: Fueling Deeper Business Insights and Edge tag:www.datasciencecentral.com,2020-06-30:6448529:Video:960631 2020-06-30T22:04:14.436Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ai-bi-fueling-deeper-business-insights-and"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6476869060?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand.<br></br> <br></br> In this latest… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ai-bi-fueling-deeper-business-insights-and"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6476869060?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand.<br /> <br /> In this latest Data Science Central webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards.  At the intersection of data and creative, strategy and execution, Tinuiti partners with brands to identify, engage, and acquire, retain, and reactivate customers across their digital journey. Meanwhile, Texas Mutual Insurance Company, the leading workers' compensation provider for its namesake state, works to meet the daily needs of more than 64,000 business owners and their 1.4 million workers. Despite being in very different industries and having two very different goals, these two leading organizations both realize that the combination of AI + BI can help them more effectively and efficiently achieve success.  <br /> <br /> Register for this webinar and learn:<br /> <br /> • How Tinuiti and Texas Mutual are leveraging AI and BI to uncover more powerful insights faster, and what it means for each of their respective businesses<br /> <br /> • Why democratizing data insights beyond the data science team and line of business is key to empowering all decision makers with relevant insights<br /> <br /> • How DataRobot and Tableau contribute to greater business productivity and edge, as well as business recovery during these challenging times<br /> <br /> Speakers: <br /> Roger D. Humecky, Vice President, Advanced Analytics - Texas Mutual Insurance<br /> Annica Nesty, Senior Director, Marketing Science - Tinuiti<br /> Emily Webber, Customer Facing Data Scientist - DataRobot<br /> Blair Hutchinson, Product Manager - Tableau<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 DSC Webinar Series: Augmented Analytics for Today’s Business User tag:www.datasciencecentral.com,2020-05-07:6448529:Video:950192 2020-05-07T20:10:34.986Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-augmented-analytics-for-today-s-business-user"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4826601482?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Augmented Analytics is no longer the future – it’s now. <br></br> <br></br> The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there’s confusion about how to move forward. All too often, companies choose one-size-fits-all approaches or rely too heavily on closed, “black-box” algorithms to stand… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-augmented-analytics-for-today-s-business-user"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4826601482?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Augmented Analytics is no longer the future – it’s now. <br /> <br /> The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there’s confusion about how to move forward. All too often, companies choose one-size-fits-all approaches or rely too heavily on closed, “black-box” algorithms to stand in for people. Instead, machine intelligence should work together with human intuition to unlock the best possible decision-making for people of all skill levels.<br /> <br /> In this latest Data Science Central webinar, experts from Qlik will share the latest AI-powered capabilities that enable both user-driven analytics and the democratization of data science. Attendees will get a first-hand look at:<br /> <br /> -   How AI accelerates value for all users by suggesting insights, automating tasks and supporting natural language interaction<br /> -   How organizations can deliver the power of data science and predictive models to business decision-makers in a simple, interactive way<br /> -   Demonstrations featuring Qlik’s augmented analytics capabilities, powered by our unique Associative and Cognitive Engines<br /> <br /> Speakers: <br /> Chris Mabardy, Senior Director of Product Marketing - Qlik<br /> Steven Pressland, Senior Product Manager of Augmented Intelligence - Qlik<br /> <br /> Hosted by: <br /> Sean Welch, Host &amp; Producer - Data Science Central DSC Webinar Series: Accelerating AI Adoption with Machine Learning Operations (MLOps) tag:www.datasciencecentral.com,2020-03-31:6448529:Video:941928 2020-03-31T23:12:14.852Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-accelerating-ai-adoption-with-machine-learning"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4287841545?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps.<br></br> <br></br> In this… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-accelerating-ai-adoption-with-machine-learning"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4287841545?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps.<br /> <br /> In this latest Data Science Central webinar, you will get an overview of MLOps and discover the issues, capabilities, and best practices required for successful and sustained deployment of machine learning in production, including:<br /> <br /> ●    The challenges of production model deployment - and how to overcome them<br /> ●    Best practices to avoid production model monitoring pitfalls<br /> ●    How to maintain high-performing models using production lifecycle management<br /> ●    Mastering production model governance to minimize risk and ensure regulatory compliance<br /> <br /> Speaker: <br /> Sivan Metzger, Managing Director, MLOps &amp; Governance - DataRobot<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Organize a Winning AI Team from Design to Deployment tag:www.datasciencecentral.com,2020-02-20:6448529:Video:932752 2020-02-20T00:07:42.739Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-organize-a-winning-ai-team-from-design-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3873638779?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process — can go a long way to ensuring AI success.<br></br> <br></br> In this latest Data Science Central webinar, we’ll talk about building a team that can deliver AI products to market using ML technology… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-organize-a-winning-ai-team-from-design-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3873638779?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process — can go a long way to ensuring AI success.<br /> <br /> In this latest Data Science Central webinar, we’ll talk about building a team that can deliver AI products to market using ML technology to deliver business value and impact the bottom line, be that customer delight, efficiency gains, or revenue growth.<br /> <br /> We’ll look at:<br /> <br /> How to design a winning team with skills and backgrounds that complement each other<br /> Defining the value derived from AI and building a roadmap to get there<br /> Using ML technology to deliver business value and make an impact<br /> Building a business case, designing a usable experience, and iterating a final product through customer insights<br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP, Data and AI - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central