When AI Makes Developers LESS Productive

Unexpected productivity losses were discovered in a study involving over 100 developers using AI tools like Microsoft CoPilot. With precise monitoring over 14 development sprints, a significant group of developers experienced decreased efficiency with AI assistance. These findings raise important questions for anyone considering AI implementation.
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[@piyushkumar123s]

Hi there, I am working as a MDM guy but not sure what the future holds for MDM. What are your views about MDM?

[@Intricity101]

MDM is such a hard nut to crack that companies are turning to the data brokerage space to deal with duplication and cross selling needs. Having said that, I do believe the pendulum is swinging back to governance. The data space seems to cycle with the query innovation. Mainframe to Relational, Relational to MPP, MPP to Data Cloud etc. (The Hadoop sham could be inserted in there as well) When a big cycle occurs, companies start to ignore governance so they don't get left behind. However, once the technology is adopted and deployed they have to start focusing on Governance again. I think we're on that swing back to governance again, now that we have some stability in these cloud data architectures. However, this time it is happening in a different way. The process is happening through data brokerage and data clean room arrangements. This is driving governance to be heavily weighted towards access controls. If I had to guess on what might happen to MDM is that the primary domains that used to be common sellers will all be dealt with through data brokerage companies. (If you can get engaged with those companies I'm sure there's plenty of work there) However, the focus of MDM tools will be pushed into the edge cases that can't be farmed out to a data brokerage company. I'm thinking of supply chains that have little brokerage support but have a lot of overlapping products and suppliers.