However, to make this work, organizations need to invest in data stewards to ensure the AI tools are trained with relevant and up-to-date data. The author also emphasizes the importance of a 'human in the middle' to verify the results generated by AI tools for accuracy and to prevent bias. By consolidating and curating data and building a team of data stewards, organizations can prepare for future AI tools and reduce the risk of a technical exodus.
Key takeaways:
- The tight labor market in the U.S. is causing a technical exodus, but some of the specialized human intelligence is left behind in structured and unstructured data.
- Enterprises can counter this exodus by using AI tools to uncover, collate and synthesize the knowledge and history of employees, effectively creating a digital twin of their key ideas and contributions.
- To make this work, organizations will need to invest in data stewards who understand the different data types and the relevancy and recency of data, and who can ensure that the AI tools are fed with accurate and timely data.
- By consolidating and curating data and building a team of data stewards, organizations can set themselves up for the AI tools of the future and reduce the risk of technical exodus.