Machine learning projects require data - that goes without saying - but obtaining sufficient quantities of high-quality data while navigating privacy and use laws is an ongoing challenge. Data collection involves collecting usable training data from a business's internal systems, such as cloud and relational databases, pulling data from open and public datasets, scraping data, and creating entirely new, unique data.
Aya Data has considerable experience in data sourcing and collection, leveraging our own experience and industry partners to extract and collect data from a wide range of sources. For example, Aya Data can collect anonymous and compliant medical diagnostic images in collaboration with the Department of Radiology at the University of Ghana Medical Centre (UGMC), as well as agricultural images through partnership with Demeter Ghana Ltd(here).
The volume, format and specificity of data required for machine learning projects is problematic, especially when a model requires a large sample of high-variance, high-dimensionality data. Collecting quality data while navigating privacy and use laws such as GDPR is tricky, especially when dealing with potentially personally identifiable information (PII). Using novel data collection techniques to obtain high-quality, compliant data is imperative to training the next generations of machine learning models.
Aya Data uses many data collection strategies to help clients build and label high-quality datasets.
Our data collection techniques include:
Privacy and Compliance
Aya Data is dedicated to collecting ethical and legally compliant data. When dealing with potentially personally identifiable or sensitive data, we take every step to ensure that any participating individuals provide full consent and usage rights, while fully anonymizing their data. Aya Data are GDPR and SOC 2 compliant and provide dedicated high-security delivery centers for sensitive data.
Proven Track Record
Aya Data has a proven track record when it comes to collecting high-quality data for our clients and their projects. We understand the ethical and legal nuance of data collection and work alongside partners across Africa to obtain complex use case or domain-specific data.
Data Sourcing Africa
Aya Data's diverse team of data labelers are skilled in the remit of data collection as well as data labeling. We understand how one task connects to another across the ML lifecycle, and work closely with our clients to discern what data they need and the best approach to labeling that data to train a high-performing model.
Our mission is twofold: Create good jobs in emerging economies and deliver exceptional data labelling services. As well as contributing to the advancement of AI globally, we are focussed on developing the next generation of West African data experts.
To deliver the best data labelling service, we prioritise:
The only way to exceed expectations is to understand them in real-time. Effective communication is a requirement of achieving the best outcomes, fast.
We follow the highest standards of data security and are GDPR and SOC 2 complaint. For highly sensitive data we provide dedicated high-security delivery centers.
Quality is defined by you. Once your KPIs are set, we iterate our workflow to deliver the exact results that you need to get the best out of your model.
As well as genuine career prospects and a competitive wage, our team have the option of free technical training through our University Partners.
.png)
.png)
.png)
15-19 Bloomsbury Way , Holborn, London, WC1A 2TH
Phone: +44-33-377-21194
Email: Info@Ayadata.ai
