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May 18, 2023 44 min

Rendered.AI - Chris Andrews

from Project Geospatial Hosted by Project Geospatial

Join us as we learn more about synthetic data with a discussion with Rendered.AI's COO and Head of Product, Chris Andrews. Throughout the discussion you will learn some of benefits of synthetic data as it applies to overhead imagery and machine learning as we demystify the topic. Rendered.AI operates a platform of the same name as a Service for data scientists, engineers, and developers who need to create and deploy unlimited, customized synthetic data pipelines for #ML and #AI workflows, reducing expense, closing gaps, and overcoming bias compared with using real-world data. About Rendered.ai:Rendered.ai is a platform-as-a-service for data scientists, data engineers, and developers who need to create and deploy unlimited, customized synthetic data generation for machine learning and artificial intelligence workflows, reducing expense, closing gaps, and overcoming bias, security, and privacy issues when compared with the use or acquisition of real-world data. Rendered.ai moves the process of creating and exploiting synthetic data closer to the business need by providing a configuration environment, samples, and cloud resources to quickly get started defining new data generation channels, creating datasets in high performance compute environments, and providing tools to characterize and catalog existing and synthetic datasets. Over 90% of the customer interest in Rendered.ai comes from the Earth Observation domain, with focus on aerial and satellite visible, multispectral, and radar imagery and we have integrated with ArcGIS services to allow customer to use scalable GIS data to build synthetic environments. Synthetic data produced in Rendered.ai can be used for computer vision training and validation across many industries. Rendered.ai focuses on a single line of business around subscription offerings of our PaaS, coupled with as-needed professional services. Our subscription offerings are available in multiple tiers, primarily differentiated by compute access, and can be supplemented or extended through enterprise agreements. Learn more about Project Geospatial at www.projectgeospatial.com.

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Rendered.AI - Chris Andrews

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