HOW WOVENWARE DOES IT
Protected by NDAs, our in-house experts prioritize client data privacy. Wovenware's unwavering commitment ensures utmost security, trust, and confidence in our services.
BEFORE WRITING THE FIRST LINE OF CODE
What can be viewed as the third mile in AI development, after AI design and data collection, data labeling is also perhaps the most crucial step to effective AI solutions. Below are some tips to ensure effective data labeling.
Use custom-data and supplement it
There is still a huge competitive advantage to owning your own quality private data-sets, so make sure you diligently collect data and use synthetic data when you need to enrich it.
Effective data labeling requires expertise
Many firms will crowdsource annotators, or use staff with little-to-no experience, but good data labeling requires experience, as well as attention to detail.
Deploy an innovation sprint
An AI Innovation Sprint lasts anywhere from 2-4 weeks with the objective of building a proof of concept to determine the feasibility of solving a business problem with computer vision.
Data privacy should remain paramount
Since effective training data requires lots of company information in many cases, those performing your data labeling should be under NDA with your firm or service provider.
USING THE VOICE OF OUR CUSTOMERS AS A NORTH STAR
Learn how we partner with our customers to create useful technology together that empowers humans and delivers impact.
Private Crowd Data Labeling
AI Machine Learning
Shaping the future with companies that lead
By deeply understanding the unique challenges and nuances of various sectors, we combine our industry insights with cutting-edge AI technology to develop tailored software products.