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Creating and enhancing the world's data to enable better AI via human intelligence
We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more.
Fuel your AI with human-powered data
The quality of your AI solution relies heavily on the quality of the data used to train it. We harness the intelligence, skills and cultural knowledge of our global community of contributors to create custom datasets for your machine learning applications.
Intelligence collective
We collect and / or create diverse and representative datasets via our large and vetted global AI Community. Harnessing human intelligence in a manner that reduces bias is key to successful machine learning.
AI training platform
The TELUS International AI training platform not only enables data annotation across all data types within the same platform but also serves as the central hub for managing, supporting and engaging the AI Community dedicated to your project.
Data Collection & Creation
High volumes of data collection or data creation can be the hardest part of a machine learning project, especially at scale. We can help.
TELUS International will help source text, image, audio, video and/or geo-local data to train your machine learning models using both platform automation and human verification. Leveraging our AI Community of 1 million+ members, we assign the most qualified people to build your custom AI training datasets. We focus on:
Data collection for AI training
Data entry and enrichment
Content summarization, formatting and processing
Dataset creation across multiple languages
Data Annotation
Enrich your data with our range of human-annotation services at scale.
It's simply not enough to give a computer a large amount of data and expect it to learn - data has to undergo preparation for computers to find patterns and inferences within it. That's where we come in. We preprocess data to make it usable for machine learning. 'Annotation' refers to any metadata tag used to mark up elements of a dataset. Adding meaningful metadata to the original dataset provides a layer of rich information to support machine learning.
Data Validation & Relevance
Data validation by qualified experts is the pinnacle to maintaining quality assurance for accurate model outcomes. Likewise data relevance will ensure your dataset contains only the parameters which are useful to your model.
The quality demands of machine learning are steep. Poor quality data not only impacts the historical data used to train the predictive model but also the new data used by the model to make further decisions. Data validation is a means to check the accuracy and quality of source data to ensure accurate output. In combination with data relevance, we can help your data scientists confirm that only important parameters are included while adjusting hyperparameters to improve model accuracy.
Data validation and relevance services
In short, a high-quality dataset is one that has undergone a rigorous cleaning process and that contains all of the necessary parameters for your model to learn to do its task. Our data validation and data relevance services help ensure that your model performs at the highest level of accuracy and precision against real world data.
Data at scale
Few companies can deliver the large scale human-annotation services required for machine learning. Our global AI Community, along with our highly-secure platform, delivers scale, speed and cost-efficiencies - all without sacrificing quality.
Ad evaluation services
Ad evaluation, also known as ad review, is the inspection of online advertisements for relevance and efficiency. We can help optimize your ads with a thorough evaluation of relevance, intent and cultural context. Our expert multilingual and multicultural analysts can review and evaluate sponsored listings against your specific guidelines. Services include:
Ad Relevance Evaluation
Ad Copy and Content Review
Ad Ratings
Geo-location data evaluation
Geo-local data evaluation is the process of verifying or enhancing location information. Using a blend of supervised machine learning and active learning, raw location data is transformed into structured data for input into maps and navigation software. Our global AI Community can verify:
Point of Interest (POI) Tagging
Address Verification
Car and Pedestrian Routing
Geo Search Relevance
Machine translation quality services
Produce natural, error-free translations with TELUS International's machine translation quality evaluation services. We are the trusted partner of thousands of global companies who rely on our team and quality for their models. Our global language experts will work quickly to ensure that your translations sound as if they were originally written by a native speaker. Our services include:
Machine Translation Evaluation
Machine Translation Retraining
Machine-generated Speech Evaluation
Custom Parallel Corpora
See more in our website!
