Scale AI approach to observability and AI data quality [Video]

The importance of data in realizing enterprise artificial intelligence goals has put AI data quality at the forefront of discussions. Ensuring high-quality AI data is now vital for a wide range of enterprise applications, from innovative development projects to insightful business intelligence.

Scale AI Inc., which provides labeled data used to train AI applications, strongly advocates for a data-centric approach. By enhancing self-driving technology and empowering both enterprise and public sector solutions, the company showcases the transformative power of well-managed AI data, according to Vijay Karunamurthy (pictured), field chief technology officer of Scale AI.

“Some of the first use cases we tackled were self-driving and autonomy,” he said. “How do you ensure the self-driving car stops at a crosswalk if a pedestrian’s crossing the crosswalk? If you find the right data that can help you reach that safety milestone … that data is worth its weight in gold for training the AI model and hitting that safety milestone in three …