Understanding Synthetic Data
With businesses looking for more and more data to enable machine learning, many are turning to synthetic data to fill in the gaps.
Understanding the Data Side of Machine Learning￼
There are many different types of learning that you may encounter as a practitioner in the field of machine learning — here are some of the most important.
The Machine Learning Workflow
Any given machine learning workflow defines which phases are implemented, and how, during a ML project.
Conversational AI for Customer Service
Across all industries, conversational AI for customer service and success is used to cut costs and increase client and prospect engagement.
Goals of Medical Image Annotation
Medical image annotation saves time and lives. Learn more about its use cases.
Understanding Conversational AI
Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.
The Fundamentals of Audio Annotation
Audio annotation services are a subset of data annotation that focuses on tagging audio data.
An Introduction to Named Entity Recognition
Businesses and organizations deal with large numbers of electronic documents daily. Sifting through all of this information can be time-consuming and difficult. Named entity recognition (NER) is a form of natural language processing (NLP) that can help businesses and organizations manage this information faster and more efficiently. A High-Level Introduction to Named Entity Recognition Named […]
Designing a Scalable Data Annotation Strategy
Outsourcing your data annotation strategy might be the best way to ensure your data annotation is done properly and remains flexible.
Ethical AI vs. Responsible AI
There’s a lot of talk about ethical AI, or ethics in artificial intelligence, but what exactly does that mean? And is it different from responsible AI?