“ If a team becomes 15 % more productive with AI , their manager also needs to become 15 % more productive to keep up ”
AI / ML
“ If a team becomes 15 % more productive with AI , their manager also needs to become 15 % more productive to keep up ”
BRAD JONES , CISO , VP OF INFORMATION SECURITY , SNOWFLAKE
demand for deploying enterprise-grade AI applications ,” Jeff explains . “ Highly specialised AI developers also come with incredibly high salaries , limiting participation in the AI talent war to a small group of organisations .”
Data engineers will also face increasing demands . “ As enterprises have started experimenting with AI , they ’ ve quickly realised that an AI system is only as valuable as the data that ’ s feeding into it ,” Jeff adds . “ Data engineering teams will be expected to either repurpose their existing tooling to work for AI-centric data pipelines and workflows , or to learn and implement new tooling .”
Management practices require adaptation to maintain productivity as AI deployment increases . “ If a team becomes 15 % more productive with AI , their manager also needs to become 15 % more productive to keep up ,” says Jeff . “ It ’ s imperative that managers not only encourage AI adoption across their teams , but also ‘ walk the walk ’ themselves and keep up with teamwide productivity gains .”
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