All Videos Tagged Artificial (Data Science Central) - Data Science Central 2021-05-13T20:57:02Z https://www.datasciencecentral.com/video/video/listTagged?tag=Artificial&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: 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