We work closely with your team to develop a customized program that addresses your unique business challenges
As you look for ways to increase customer loyalty and improve your competitive advantage in the marketplace, our team is ready to help you solve your current business challenges. With over 20 years of experience developing programs that deliver enhanced data, we welcome the opportunity to apply our expertise to your business.
Appen provides a customized approach where we thoroughly evaluate your needs and develop a program to address your specific business objectives. Our services include developing user guidelines, identifying the correct platform for your experiment, assisting in the creation and development of the user interface and identifying, measuring and reporting on key quality metrics. Our clients often say that as a result of our approach, the Appen team ends up becoming an extension of their project team, creating a close partnership and stronger results.
Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a crowd of over 1 million worldwide, Appen partners with global companies to enhance their machine learning-based products.
Appen Training Data Solution Unveils Feature Enhancements to Accelerate Customers’ AI Initiatives
Humans and Technology Working Together Enable Better AI Results SYDNEY — Aug. 20, 2019 — Appen Limited, the leading provider of datasets used by companies and governments to train AI systems quickly and at scale, today introduced feature updates for its AI training data solution designed to accelerate customers’ artificial intelligence initiatives. The Appen platform – already the most comprehensive …
How to Develop a Training Data Strategy for Machine Learning
It’s well-known that the quantity and quality of training data for any given artificial intelligence (AI) project are two of the most crucial factors for that project’s success. Insufficient or poor training data can result in an unreliable system that reaches the wrong conclusions, makes poor decisions, can’t handle real-world variation, and introduces or perpetuates bias, among other problems. It’s …
5 Reasons to Outsource Your Data Annotation Project
For many organizations, the temptation to annotate data for machine learning (ML) projects in-house is hard to deny. These companies typically feel that using internal resources will help them save time and money by tapping employees who are already on their payroll. Additionally, if their project is highly confidential or of a sensitive nature, they might feel that using internal …