Chris ColangeloGuest
Tessa BurgHost
So I started out selling Verizon products and services and really got into a technology space by helping one of my colleagues.

And I understood the way that they were approaching their job was suboptimal and difficult.

And this example was the way that they were quoting out customers wasn't right.

And so it was really out of passion for helping my fellow colleague that I kind of really got into this space of moving into technology, building on new systems and tools.

And then as part of that, really moved into a lot of the AI technologies that we would do as part of our e-commerce platforms.

But we see a lot of people whenever they're, as you put it, like a suboptimal experience or it could be better.

They tend to just want to pick the next tech solution or say, well, we'll just license this or maybe this technology doesn't work or maybe that platform doesn't work.

How do you pivot that conversation to first focus on what is the challenge that you're trying to solve and move people from trying to find that silver bullet application or piece of technology? I

AI is really cool in that Before, your architecture decision was very expensive.

What coding language you use or what method you use to build an application would matter quite a bit.

Now, because you can refactor things so quickly, That seems to be a cheaper decision.

And so people are spending a little bit less time focusing in on, okay, how do I want to actually go about designing a particular solution and more about, okay, what are we actually trying to solve to begin with? And one of the challenges that we see as really big challenges, are you thinking about big enough? And are you trying to solve a problem or are you saying, okay, we have a new technology like AI can solve anything.

And by and large, it can be useful in almost all scenarios, but is it the largest problem that your customer has or that your employees have that you're actually going after? And then is AI the right solution to bring to that?

So I started out selling Verizon products and services and really got into a technology space by helping one of my colleagues.

And I understood the way that they were approaching their job was suboptimal and difficult.

And this example was the way that they were quoting out customers wasn't right.

And so it was really out of passion for helping my fellow colleague that I kind of really got into this space of moving into technology, building on new systems and tools.

And then as part of that, really moved into a lot of the AI technologies that we would do as part of our e-commerce platforms.

But we see a lot of people whenever they're, as you put it, like a suboptimal experience or it could be better.

They tend to just want to pick the next tech solution or say, well, we'll just license this or maybe this technology doesn't work or maybe that platform doesn't work.

How do you pivot that conversation to first focus on what is the challenge that you're trying to solve and move people from trying to find that silver bullet application or piece of technology? I

AI is really cool in that Before, your architecture decision was very expensive.

What coding language you use or what method you use to build an application would matter quite a bit.

Now, because you can refactor things so quickly, That seems to be a cheaper decision.

And so people are spending a little bit less time focusing in on, okay, how do I want to actually go about designing a particular solution and more about, okay, what are we actually trying to solve to begin with? And one of the challenges that we see as really big challenges, are you thinking about big enough? And are you trying to solve a problem or are you saying, okay, we have a new technology like AI can solve anything.

And by and large, it can be useful in almost all scenarios, but is it the largest problem that your customer has or that your employees have that you're actually going after? And then is AI the right solution to bring to that?
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