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- Customer ExperienceTechnology
Signs it's time to consider customer experience outsourcing
There are often tell-tale signs that it’s time to consider customer experience outsourcing. Read about the signs and how to recognize them.
- 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.
- Digital Experience
Extended reality 101
Learn the commonalities and differences between augmented reality, virtual reality, mixed reality and extended reality, including popular use cases.
- Digital Experience
What is conversational AI?
Learn what conversational AI is, how it relates to chatbots, leading examples and future trends for the technology in this short primer.
- Trust & SafetyRetail & Ecommerce
Social commerce trends for 2022 and beyond
Social commerce has made an emphatic entrance. Find out why blending eCommerce and social media is creating a powerful sales engine.
- Digital Experience
The ultimate guide to customer intelligence
Discover what customer intelligence is, industry examples and best practices for implementing a customer intelligence strategy for your business.
- Trust & Safety
Digital identity 101
As interactions become increasingly digital, authentication could come to rely on one single, verifiable digital identity. Learn the basics about digital identity here.
- AI DataAutomotive
Driver monitoring systems: Needs, regulations, popular use cases and trends
Driver monitoring systems (DMS) are proving to be effective in helping prevent accidents due to driver drowsiness or inattention. Learn all about these AI-backed systems.
- AI Data
Closing the gender data gap in AI
What is the gender data gap in artificial intelligence (AI) and what can companies do to ensure more inclusive AI data practices? Discover key insights and learnings.
- AI Data
Automation: The antidote to overcoming data labeling inefficiencies
Learn how machine learning assisted automation speeds up data labeling and improves dataset accuracies for computer vision teams.
- AI Data
A guide to building training data for computer vision models
Explore what is involved in the collection and labeling of training data that is used to build computer vision models.
- AI DataAutomotive
Video annotation for computer vision
Video annotation enriches video data by adding object information tags across every frame. Discover different video annotations, their popular computer vision applications and the benefits of video labeling automation.
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