SYDNEY, Australia, August 19, 2024 – Ryan Kolln, CEO of Appen (ASX: APX), discussed the evolving challenges and opportunities in the AI industry during an exclusive interview with Alex Woodie at Datanami. He emphasized the pivotal role of data in advancing AI, highlighting the growing need for accurate and diverse datasets to train large language models (LLMs) and other AI systems.
Why is data annotation important?
Data annotation, the process of labeling data such as text, images, and videos, is crucial for training AI models to recognize patterns, make decisions, and generate insights. Accurate and well-labeled data is essential for AI to function effectively, but not all data is created equal.
The rise of GenAI and the need for trusted data
With the emergence of Generative AI, the demand for precisely annotated data has increased. For these models to generate reliable results, the data they learn from must be meticulously curated, with a strong emphasis on ethical considerations.
How Appen is leading the charge
Appen has been a leader in data annotation for nearly 30 years, offering solutions that prioritize quality and ethical standards. Ryan Kolln discusses how businesses can leverage Appen's expertise to ensure their AI projects are grounded in trusted, human-curated data.
Topics of discussion included:
- The advantages and disadvantages of using synthetic or web-scraped versus crowdsourced AI training data.
- The challenges businesses face with the current shortage of training data for LLMs and its impact on the future of AI model development.
- How ethical considerations and new regulations, such as the EU AI Act, are shaping the future of AI innovation and adoption.
Discover how Appen is shaping the future of AI, and learn why ethical data practices are key to responsible AI development: watch the interview
About Appen
With 25+ years of experience in the industry, Appen continues to be at the forefront of innovation, providing high-quality AI training data and services to businesses worldwide.
About Datanami
Datanami is a news and analysis publication providing in-depth coverage of the latest trends, technologies, and business strategies in big data and data science.