We’ve seen a lot of discussion about AI projects not showing significant ROI, and this may be because the results are not trustworthy, which raises the question of whether the data being modeled is reliable. If AI is surfacing incorrect information because the model was built on outdated and inaccurate data, the problem lies with the source of the data.
Maybe the big thing is that most companies are not tech companies. They use tech, and they have an IT department, but it’s not their core function. If it’s not your core function do you want to be in the data center business?
There is something to this. How many times has someone fallen victim to phishing or drive-by downloads and wondered why the IT department didn’t build better protection? (I’ve seen it!)
Now, I’ve left a few jobs over the years, including some that were remote, which I think is a new challenge for a lot of places right now. Most of the time, the departing employee is not exactly top of mind for the organization. You’ve got work to do, and they are no longer part of the plan. I get that, but somebody probably wants to at least pay attention to what the employee is doing on the way out.
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You know, we could ask the same question at many corporate law departments, and also at law firms. “When I came to Google my hypothesis was, what would happen if you really invested in the people?” she said. “And then I went out and found those people.” Often, eDiscovery is an offshoot of something else….