CloudFactory Blog

Optimize ML team structure: Discover 2 common approaches, their pros and cons, and learn to choose the right one for your organization.

Get the four top takeaways from CloudFactory’s Maximizing the Value of Your AV data webinar.

Get the three top takeaways from CloudFactory’s Improve Your Finance AI Strategy with Humans in the Loop webinar.

Read CloudFactory's AUVSI insights: 2023's standout UAV opportunities - Industrial Aerial Inspections, Civil & Emergency Management, Site Security & Surveillance.

Read CloudFactory's insights from ODSC East in Boston, focusing on key trends in generative AI, ethical AI, and HITL (human-in-the-loop) approaches.

Discover how drone inspections enhance industrial processes, improving safety, efficiency, and data accuracy. Learn about power lines, pipelines, and more.

An overview of MLOps field, its similarities & differences compared to DevOps, & how it can help organizations navigate common issues.

Learn the five most common pitfalls in data labeling and proven tips on how to avoid them from the experts at CloudFactory.

Discover how insurers use AI to reduce insurance customer acquisition cost, boost efficiency, and improve engagement across the policyholder journey.

Learn about seven key business areas in which automotive companies can benefit from CloudFactory expertise in Vision AI, NLP, and document processing.

We’ve integrated Meta AI’s Segment Anything Model (SAM) into our Accelerated Annotation product to deliver precise segmentation at unprecedented speeds.

No time for a webinar? This blog post recaps our discussion on ethically designed AI systems with the 4 steps you need to achieve ethical AI.

Financial firms are often wary of outsourcing data processing, but security measures exist to mitigate risk for data-intensive projects.

Get the 5 essential takeaways from the CloudFactory and Abyss Solutions AI Innovation in Industrial Asset Management webinar.

Natural language processing (NLP) is a fast-growing AI technology, but data labeling for NLP is complex. Here is what to look for in an NLP data workforce.

The rise of healthcare AI solutions show great promise, but there are still important hurdles to overcome, like data privacy, collection, bias, & accuracy.