A new report from AI data provider Appen highlights that companies are increasingly facing challenges in sourcing and managing the high-quality data essential for powering AI systems. Appen’s 2024 State of AI report, surveying over 500 U.S. IT decision-makers, reveals a 17% increase in generative AI adoption over the past year. However, organizations now confront significant hurdles in data preparation and quality, with a 10% rise in bottlenecks related to data sourcing, cleaning, and labeling.
“As AI models take on more complex and specialized tasks, their data needs also shift,” said Si Chen, Head of Strategy at Appen, in an interview with VentureBeat. “Companies are realizing that it’s no longer enough to have lots of data. For optimal model performance, data must be high-quality, meaning accurate, diverse, well-labeled, and tailored to specific AI applications.”
Continue reading… “Navigating the AI Data Dilemma: Appen’s Report on Data Challenges in Generative AI”
