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The use of artificial intelligence (AI) and machine learning (ML) is growing in a variety of sectors, sparking the need for more data annotation models assisted by specialists globally.

CoSouth African tech start-up Enlabeler has closed its funding round with venture capital firms Kingson Capital and E4E Africa, as well as the Michael & Susan Dell Foundation.

South African startup Enlabeler is reporting serious growth over the last couple of years, operating in the valuable “data labelling” niche...

In this last article of our fine-tuning ASR series, we’ll explore the concept of fine tuning ASR models using strategic vocabulary scaling. Grab a coffee, and let’s get started.

In this article, we will explore three common techniques used to address the problem of background noise in audio data, to help you optimize the quality of your automatically generated transcripts using our Transcribe-ASR platform or open API.

Four approaches that can help overcome the challenge of data scarcity and improve the performance of your ASR model.

Automatic Speech Recognition (ASR), the transformative technology that converts spoken language into text, has revolutionized industries ranging from transcription services to voice assistants.

Calling all Transcribers who are tired of manually transcribing audio recordings to trial a new Transcription platform.

Speech-to-text platforms have been around for quite some time, and with the rise of Artificial Intelligence (AI) and Natural Language Processing (NLP), they have become even more sophisticated.

In the quest of quality and accuracy of the best Machine Learning (ML) model; data validation has become the most important aspect of the process.

A review of this year’s trends indicates that artificial intelligence continues to be a powerful tool to drive businesses forward.

Over recent years, the pursuit of the best autonomous vehicles has invigorated public imagination and aroused unprecedented collaboration between vehicle manufacturers and tech innovators.

Data labeling and AI technologies have hugely impacted the development of the agricultural industry. It, therefore, comes as no surprise that data labeling and AI technologies are at the center of modern-day advancements in contemporary farming.

The growth of e-commerce and in-store digital experiences has accelerated traditional retailers into the “new retail”. Although BI and data analytics have been a focus point for many retailers for years.

Computer transcription models are usually focused on images and video’s. However, they also make use of Natural Language Processing (NLP), a term used for the application of computer models to analyse natural language and speech.

How do you choose a data labeling provider in this fast growing market? Here are a few things to consider to help you make the an informed decision.

Telkom has partnered with South African startup Enlabeler to launch an AI platform that translates speech into text and provides transcription services for local languages.

This is a 2 part article where we will investigate the mAP method of evaluating an object detection model. Part 1 will dive into the the metrics in question with some light mathematics and classification evaluation methods.

South African startup Enlabeler is reporting serious growth over the last couple of years, operating in the valuable “data labelling” niche.

Telkom Business, in collaboration with data labelling start-up Enlabeler, has introduced izwe.ai, an artificial intelligence (AI)-driven transcription and translation platform to provide SMEs with speech-to-text services.

Telkom Business has partnered data labelling start-up Enlabeler, to introduce izwe.ai, an artificial intelligence-driven multilingual transcription and translation platform that provides businesses with speech-to-text services to create a cost-effect

Telkom Business, in collaboration with Enlabeler, has introduced izwe.ai, an artificial intelligence-driven transcription and translation platform that provides businesses with speech-to-text services to create a cost-effective and convenient.

A new artificial intelligence platform has been unveiled by Telkom, in collaboration with Enlabeler, which could have a far-reaching impact on the education, health and business sectors. The new AI platform translates speech into text from English an

A new artificial intelligence platform has been unveiled by Telkom, in collaboration with Enlabeler, which could have a far-reaching impact on the education, health and business sectors. The new AI platform translates speech into text from English an

Telecoms group Telkom has launched izwe.ai, an artificial intelligence (AI) platform that enables users to translate spoken English into text into several African languages, as well as Portuguese, at the AI Expo Africa 2021, on Wednesday....