Automated solutions like OCR can help tackle retail data transcription at scale, but maintaining data quality remains a major challenge.
Exception Processing
Retail data transcription is time-consuming and tedious work, not to mention notoriously hard to scale. Here’s how retailers can overcome those challenges.
Humans are necessary while automating decisions and processes with AI, machine learning, and RPA. Experts discuss the need for humans in the loop (HITL).
Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.
An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.
Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.
Could the secret to developing ML be more boring than we think? It’s time to give up the quest for the perfect model.
