CloudFactory Blog

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

Automated solutions like OCR can help tackle retail data transcription at scale, but maintaining data quality remains a major challenge.

Retail data transcription is time-consuming and tedious work, not to mention notoriously hard to scale. Here’s how retailers can overcome those challenges.

The nuances of language can be difficult for a machine to understand, hence the need for human input to accelerate testing and ensure quality control.

Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.

In a data-heavy sector like finance, scaling routine operations like document transcription can be difficult, but outsourcing can help in a variety of ways

In our latest event, we talked with smart cities expert Jonathan Reichental about the future of urban development. Here are some key insights from our chat

3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.

Learn 3 key takeaways from our latest LinkedIn Live event where we explored what it takes to combine human and machine intelligence effectively.

From fraud detection to automated loan approvals, AI is transforming the world of fintech with smoother client experiences and reduced financial risk.

Humans are necessary while automating decisions and processes with AI, machine learning, and RPA. Experts discuss the need for humans in the loop (HITL).

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.

Optical character recognition (OCR) can improve productivity when transcribing text, but people still play a critical role in quality control.