In this webinar, we demonstrate how high-dimensional outlier analysis makes it possible to extract outliers from operational data. Plus, we present real-life examples of how organizations are reaping the benefits of AI technology without the need to invest in costly and specialized data science skills.
What can industrial applications of artificial intelligence (AI) offer your organization? More than you might think.
Industrial AI can help your organization:
- Explain and avoid unexpected shutdowns / downtime of expensive equipment
- Lower operational costs and improve efficiency by optimizing performance
- Increase customer satisfaction by improving product quality
Technology such as the internet of things (IoT), industrial IoT (IIoT) devices, and edge computing yield data from real-time telemetry and other sources at an impressive scale, offering many untapped practical applications. Less costly, more flexible sensor deployments – whether within a factory, a fleet of assets, or other industrial environment – make it possible to leverage the full power and potential of advanced industrial AI technology.
In this webinar, we demonstrate how high-dimensional outlier analysis makes it possible to extract outliers from operational data. Plus, we present real-life examples of how organizations are reaping the benefits of AI technology without the need to invest in costly and specialized data science skills.
You will learn about:
- The value of your data, and how to tap into it efficiently
- The power and potential of deep learning and advanced analytics
- How to leverage IIoT and AI easily, without specialized expertise
Industrial AI gives subject matter experts the tools to uncover nuggets hidden in real-time data and turn them into visible and actionable information gold.
Watch this webinar to learn more about what industrial AI has to offer and how you can benefit from powerful deep learning and advanced analytics tools.
About the Speaker:
Warren Baird, Cloud Product Manager at MAYA HTT. Warren started his career as a software developer working on scientific visualization tools for computational fluid dynamics (CFD). He has worked on a wide variety of projects, from CAD visualization to cryptographic self-sovereign identity solutions, to client-side UI development frameworks. Warren joined Maya HTT in early 2019 as a product manager, leading the charge on all things cloud-related. He oversees projects ranging from industrial- or manufacturing-focused AI and ML, simulation on the cloud, and ECAD/MCAD collaboration.
To watch, please complete the form on this page. This webinar is sponsored by Maya HTT.
