Struggling with AI model accuracy? CloudFactory's AI Data Platform and expert services deliver high-quality, structured datasets to speed up AI development.
AI & Machine Learning
Overcome your AI development roadblocks and accelerate your path from concept to production with CloudFactory's proven methodology and custom AI solutions.
Our AI Data Platform's model playground capability enables technical teams to iterate and refine models for rapid trial and real-world application.
See faster ROI with CloudFactory's inference-centric AI Data Platform. It tackles data challenges and optimizes models for real-time decisions.
Bridge the AI reliability gap! This blog post explores human in the loop & CloudFactory's Model Monitoring & Oversight for real-world AI success. Join our Beta program.
This blog covers image segmentation challenges in data labeling & how quality data improves model accuracy and reduces time to market for AI projects.
Learn image segmentation best practices for smarter decisions, boosted revenue, and streamlined operations. Our infographic covers the challenges and solutions.
LiDAR is a useful 3-D object detection technology for many industries, from AV to aerial inspections. Here are 7 interesting applications of LiDAR.
How CTOs and VPs of product and machine learning can navigate key agtech hurdles using AI-powered data labeling for sustainable growth and profitability.
While foundational models offer remarkable potential, our experience reveals that humans in the loop remain crucial for successful AI development.
This post discusses accelerating AI development with active learning, a machine learning method that prioritizes the most informative data for labeling.
Discover the power of foundation models for Vision AI. Supercharge your workflow, save time, and boost performance.
A resource to create A+ data annotation guidelines that will lead to high-quality AI models, cost savings, and improved business operations.
Uncover the four layers of automated data labeling—pre-labeling, pre-trained models, hosting, and technology—to achieve faster and smarter AI goals.
This blog post uses Maslow's hierarchy of needs to illustrate how business leaders can build a machine learning (ML) solution foundation.
ML models need a foundation of data, annotation, and optimization to succeed. Learn how with a technical spin on Maslow's hierarchy of needs.
