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Accelerating the new AI: Key insights from our latest whitepaper

A racecar on a blurred track represents the speed of change in generative AI, and how Sigma is accelerating this new AI through human data annotation

Generative AI is everywhere, triggering new ways to boost productivity, improve customer experiences, and expand business opportunities. However, as gen AI initiatives move from initial excitement to complex use cases and ROI-driven applications, new challenges arise.

While gen AI is a high strategic priority for 63% of organizations, 91% admit they’re unprepared for responsible deployment, according to a report by McKinsey. This gap between ambition and readiness is also emphasized by a Deloitte report, which shows that nearly 68% of companies are struggling to scale gen AI experiments to production.

Poor data quality, a lack of sufficient data, technical skills gaps for AI creators and data annotators, and ethical concerns around bias and privacy are the main roadblocks keeping companies from achieving successful AI adoption.

Sigma’s latest whitepaper, “Accelerating the new AI: Trends, challenges, and strategies for gen AI data annotation,” provides insight into the data-related barriers hindering gen AI deployment and offers a data annotation roadmap to help companies unlock the full potential of generative AI.

Start reading the whitepaper

Table of Contents

The key to gen AI success? High-quality data powered by human expertise 

Building accurate and reliable generative AI models demands vast amounts of high-quality training data. Achieving this is easier said than done: it requires the right blend of efficient workflows, deep-domain knowledge, and human oversight.  

With over 30 years at the forefront of AI innovation, Sigma is trusted by four of the five global tech giants to provide expert human data annotation to power their gen AI development. 

This whitepaper draws from our experience guiding companies through the shift from accuracy-based annotation for traditional AI, to judgment- and creativity-based annotation skills for generative AI. It also offers actionable strategies and a roadmap to accelerate your gen AI initiatives.  

Inside, you’ll learn:

  • Key trends, challenges, and barriers shaping gen AI developments in 2025.  Discover what’s next, from domain-specific models to the use of synthetic data, and understand the hurdles to large-scale AI adoption. 
  • The evolving role of human data annotation and the new skills required for the next generation of AI. Explore how creative thinking, summarization, and logical reasoning take center stage for data annotation and validation.     
  • Five actionable strategies to build a winning data annotation strategy. Gain insights to kickstart your gen AI projects, from building a skilled and diverse workforce to creating (and constantly refining) data annotation guidelines.

Struggling with data challenges or lacking a clear data annotation roadmap for ambitious projects? This whitepaper provides the essential guidance to accelerate your AI journey.  

Download Sigma’s whitepaper

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Sigma offers tailor-made solutions for data teams annotating large volumes of training data.
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