When evaluating AI/ML offerings, how do you decide which is best for you and your organization?

Top Answer : Probably one of the more difficult things, I find, is trying to keep up with all the tech, but also be pragmatic in the process. Because it's easy to go out and want to buy all the new cool stuff. But is it really realistic to try and implement and deploy all that, manage all that? That's the microservices conundrum. Someone just posted something recently... “I thought that moving to microservices was gonna make my job easier for everything. And now every time we have an outage, it's like murder mystery.” So it's interesting to kind of see the give and take that comes with that. A lot of offerings are all going to have things that are going to be more or less localized to what you're looking for.

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Blue Cloud
Oil, Gas and Mining
Probably one of the more difficult things, I find, is trying to keep up with all the tech, but also be pragmatic in the process. Because it's easy to go out and want to buy all the new cool stuff. But is it really realistic to try and implement and deploy all that, manage all that? That's the microservices conundrum. Someone just posted something recently... “I thought that moving to microservices was gonna make my job easier for everything. And now every time we have an outage, it's like murder mystery.” So it's interesting to kind of see the give and take that comes with that. A lot of offerings are all going to have things that are going to be more or less localized to what you're looking for.
1 upvotes
Green Terminal
Software
It's not just about deploying the tool, but focusing on the value part.  This is generally missing in general IT, and it’s even worse when it comes to security. It's not just about the speed to insight, but focusing on the insight to action, how do you connect value, and is that going to be right for your stack? That's where the focus should be.
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