Glossary

Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the ability of machines and software to perform tasks that typically require human intelligence – such as understanding language, recognizing patterns, solving problems and making decisions. In business, AI enables automation, insight and personalization at scale.

Description

AI is a broad field of computer science focused on creating systems that can sense, reason, learn and act. It encompasses techniques such as machine learning (ML), neural networks, Natural Language Processing (NLP) and computer vision, all of which allow technology to process information, adapt to new inputs and generate intelligent responses.

In practice, AI systems are trained on large datasets and refined through feedback loops until they can perform specific tasks accurately – from translating content to analyzing speech or predicting customer behavior. Modern AI also powers Generative Artificial Intelligence (Gen AI) capabilities that can create text, images or audio based on learned patterns.

Within enterprise environments, AI supports a growing range of applications: accelerating translation, automating content workflows, analyzing complex data and enhancing customer experiences through personalization. When designed responsibly, AI improves efficiency and decision-making while maintaining accuracy and transparency. However, AI isn’t autonomous. It depends on human oversight to provide context, correct bias and ensure that automated outcomes align with ethical and cultural expectations. This balance between automation and human understanding defines the new generation of intelligent systems.

Example use cases

  • Translation and localization: Automate and enhance language workflows through AI-assisted translation.
  • Data services: Collect, annotate and validate data for machine-learning and generative-AI models.
  • Content management: Optimize structured-content authoring and metadata tagging.
  • Customer experience: Deliver personalized, multilingual interactions at scale.
  • Generative applications: Create draft text, images or voice content guided by human review.

Key benefits

Speed
Automate repetitive or data-intensive tasks to reduce turnaround times.
Scalability
Handle global volumes of content, language and data efficiently.
Insight
Analyze patterns and behavior to inform better decisions.
Quality
Maintain consistency and accuracy through intelligent automation.
Quality
Enable new products, services and experiences powered by data.

RWS perspective

At RWS, artificial intelligence isn’t a replacement for people – it’s a partner. We design AI systems that combine machine precision with human understanding to achieve Genuine Intelligence: technology that works with, not instead of, people.

Our AI ecosystem unites platforms such as TrainAI for data services, Language Weaver for neural machine translation and Human-in-the-loop (HITL) frameworks for continuous improvement. Together, these solutions enable organizations to connect authentically with audiences in every language and market. AI has the power to connect us with anyone, anywhere – but it can’t do it alone. With RWS, enterprises combine the speed of AI with the empathy and expertise of human intelligence to create meaningful, culturally relevant communication.