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Data labeling - Best practices for project management & collaboration

Transforming raw unstructured data into high-quality training data is critical to delivering successful AI


Managing and delivering successful data annotation projects is a challenge. In this session, our co-founder and CTO Edouard d'Archimbaud shares his actionnable insights. These will cover:

  • Best practices to industrialize the transformation of unstructured data into high-quality training data and ship AI projects faster into production.
  • Why do AI Projects fail to deliver value.
  • Managing an end-to-end data labeling project using an AI training data platform.

About Kili

85% of AI projects never reach deployment.

At Kili Technology, we believe the foundation of better AI is good data.

Kili Technology's complete training data platform empowers large organizations such as IBM, Airbus and Capgemini to transform unstructured data into high-quality data to train their AI and deliver successful AI projects. This approach improves their teams’ productivity, accelerates the go-to-production cycles of their AI projects and delivers trustworthy AI.

Kili Technology is unique in its capacity to industrialize the collaborative labeling of unstructured data, enrich the process with Human-in-the-Loop intelligence and secure sensitive data.

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They trust us

IBM (2)

On leading the data-centric revolution: "Great companies like Kili Technology, (...) have already adopted this data-centric AI approach".

Andrew Ng
AI Thought Leader