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- Insights
- Article
Protecting your customers and brand in an outsourced environment
Risk mitigation should be a top consideration when selecting an outsourcing partner. Learn what to look for to ensure your brand is protected.
- AI Data
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.
- AI Data
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 DataFinancial 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.
- AI Data
What is data classification?
AI data demands classification to be useful at scale. Learn the benefits, challenges and best practices of data classification.
- AI Data
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.
- AI Data
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.
- AI DataAutomotive
Does data hold the key to autonomous vehicle safety?
Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.
- AI Data
Data labeling fundamentals for machine learning
Machine learning demands massive amounts of clean, structured, labeled data. Learn the fundamentals of data labeling for successful AI training.
- AI Data
The expanding frontiers of computer vision in the metaverse
Learn how computer vision will play a vital role in transforming the metaverse into a commercially accessible reality for brands across industries.
- AI Data
The shift to responsible AI and best practices for implementation
Given its immense influence in shaping our experiences, it’s increasingly important that AI is developed ethically and responsibly. Discover leading responsible AI principles and how they can be implemented.
- AI Data
The contemporary trifecta of data-centric AI
Data-centric AI is driving the success of current machine learning initiatives. Learn about the leading role of data in the AI lifecycle and the three key factors powering the data-centric approach.
- AI Data
Autonomous technology: Thinking beyond automobiles
Learn what autonomous technology is, popular use cases beyond autonomous vehicles, its many benefits and the challenges faced by organizations today.
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