All Videos Tagged Figure (Data Science Central) - Data Science Central 2021-09-21T11:23:16Z https://www.datasciencecentral.com/video/video/listTagged?tag=Figure&rss=yes&xn_auth=no 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: 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 DSC Webinar Series: Train & Tune Your Computer Vision Models at Scale tag:www.datasciencecentral.com,2019-12-06:6448529:Video:913214 2019-12-06T05:21:19.642Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-train-tune-your-computer-vision-models-at"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3757286762?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Whether you are training a self-driving car, detecting animals with drones, or identifying car damage for insurance claims, the steps needed to effectively train a computer vision model at scale remain the same.<br></br> <br></br> In this latest Data Science Central webinar, we’ll walk through best practices for managing a computer vision project… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-train-tune-your-computer-vision-models-at"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3757286762?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Whether you are training a self-driving car, detecting animals with drones, or identifying car damage for insurance claims, the steps needed to effectively train a computer vision model at scale remain the same.<br /> <br /> In this latest Data Science Central webinar, we’ll walk through best practices for managing a computer vision project including staffing, budgeting, and roles and responsibilities. Learn how to collect and label the data that will train and tune your machine learning algorithm, and which types of data labeling best fit your project along with the tools that will get the job done.<br /> <br /> In this webinar, you’ll learn how to:<br /> <br /> Identify key success factors when scoping a computer vision project<br /> Determine what kind of source data you need to make it successful<br /> Select tools that best fit your project<br /> Label your dataset so your algorithms can learn and perform as designed<br /> <br /> Speaker:<br /> Meeta Dash, Director of Product - Figure Eight<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: 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