We invested in AI platforms for consumer behavior. So we've had it for a while and now we're taking it to the next level with a new CDP that we just got. We're going to be doing a lot of prescriptive modeling and so forth. That works perfectly because it’s what we use to do what's called lookalike modeling (i.e., go out and look for these kinds of people so I can market them). That's one use case that has been very, very heavily used within our organization. There's two others that we're investing in right now. One is exactly what you're talking about, where people claim that they can do X things with the data that you have...until you put it in action. You don't have a lot of history, you don't have a lot of stuff, and the AI cannot learn. So that's where we find it a little bit challenging: having that good data source, having a plethora of data, and then using that to solve for specific issues. But if you just put something in and turn it on and expect it to work, it really doesn't.
It's about looking at process time, right? When people say AI is snake oil, there are certain reasons behind that. People have built their products doing mostly unsupervised learning. What that means is, when they are coming and learning in your environment, initially, there'll be lots and lots of false positives because there's no level data. So unless somebody invests six months to a year in terms of reducing the false positives and tune the algorithm, they're not going to get to value. There's only two things here: either you are ready to invest a year into that, or the older way of doing things where if a company has already invested their time in terms of creating these labels, you would get programming, which means these algorithms are already tuned so by the time they are applied, the time to value will be really, really quick. So, it depends.
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Yes, AI has significantly reduced costs and improved customer experiences.4%
Somewhat, there have been some cost reductions and customer benefits, but there's room for improvement.82%
No, AI implementation has not yielded noticeable cost savings or substantial customer enhancements.11%
Not sure / I don't have enough information to assess AI's impact.4%
Yes, we're actively using it37%
No, but it's part of our roadmap52%
No, and we have no plans to10%
Unsure0%
There’s a challenge around...how do we eliminate misconfigurations from a security baseline and expedite the quality of high fidelity alerting to a limited set of analysts, so you don't have to throw bodies at problems that you historically had to solve for.