AI Data

Insights
AI Data
All Insights

Data governance with AI data collection

Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.

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Case Study

AI Use Cases

Growing agricultural profits with cloud-based AI

Learn how we helped an agricultural producer monetize their extensive data assets using cloud-based artificial intelligence (AI) technology.

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Generative AI

Artificial intelligence, real benefits: Applying generative AI in CX

Generative AI has seemingly limitless potential for brands who lead with their digital CX. Investigate the benefits of AI customer service.

Generative AI

Generative AI 101

Generative AI is a type of AI that can be used to generate new content such as text, images, audio, video, code or synthetic data. Discover exactly how generative AI works and what you can do with it.

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Responsible AI

The critical role of impact sourcing on AI model expansion

Addressing bias in AI models is a key principle of responsible AI. Discover how diversifying your team of AI contributors through impact sourcing can help.

Linguistic Annotation

Are we headed for an AI data shortage?

Discover how a potential AI training data shortage for language models could affect your business, and what you can do to offset its impact.

AI Use Cases Financial Services & Fintech

Six AI technologies set to define the future of banking

Artificial intelligence is set to define the future of banking. Learn about how banks are using machine learning, RPA and other AI-powered tech.

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Data Annotation

What is data classification?

AI data demands classification to be useful at scale. Learn the benefits, challenges and best practices of data classification.

Case Study

Linguistic Annotation Technology

Building a multilingual dataset with high-quality data collection and annotation

Learn how a leading technology client leveraged TELUS International’s AI Data Solutions to build a multilingual dataset that helps researchers scale natural language understanding technology.

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Data Annotation

Five common data annotation challenges and how to solve them

Data annotation can create bottlenecks in AI and machine learning projects. Learn how to improve data quality and overcome data annotation challenges.

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Case Study

Data Validation & Relevance Technology

Facilitating transactional review and online shopping services for a global tech giant

Examine how TELUS International evaluated high-quality data and merchant ratings to enhance the customer experience.

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AI Best Practices

Quality assurance best practices for AI training data

Training AI systems demands observing data quality best practices. Learn more about AI data quality control in this primer.

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