Lacey Peace

Welcome back to Experts of Experience. I'm your host Lacey Peace and joining me as always is our producer Rose. Hey Rose. Hello. We just got off the mic with Katie Bianchi, the Chief Customer Officer at Palo Alto Networks. Now this one was a fun one. Katie actually gave us, and I'm not joking here, she gave us a step-by-step process for AI implementation.

Welcome back to Experts of Experience. I'm your host Lacey Peace and joining me as always is our producer Rose. Hey Rose. Hello. We just got off the mic with Katie Bianchi, the Chief Customer Officer at Palo Alto Networks. Now this one was a fun one. Katie actually gave us, and I'm not joking here, she gave us a step-by-step process for AI implementation.

So for all of you guys out there that are kind of not sure about what to do next or are unclear on how to implement this in your organization, Katie has given us basically a mastermind in this. I found it so fascinating.

So for all of you guys out there that are kind of not sure about what to do next or are unclear on how to implement this in your organization, Katie has given us basically a mastermind in this. I found it so fascinating.

So for all of you guys out there that are kind of not sure about what to do next or are unclear on how to implement this in your organization, Katie has given us basically a mastermind in this. I found it so fascinating.

There's an insane amount of data that you have the potential to collect and then deciding what data to collect, what's useful. And how to store it. Like, is it kept in a place that's like we can actually use it? Because there's no point in collecting it if it's so messy that I can't even use it.

There's an insane amount of data that you have the potential to collect and then deciding what data to collect, what's useful. And how to store it. Like, is it kept in a place that's like we can actually use it? Because there's no point in collecting it if it's so messy that I can't even use it.

There's an insane amount of data that you have the potential to collect and then deciding what data to collect, what's useful. And how to store it. Like, is it kept in a place that's like we can actually use it? Because there's no point in collecting it if it's so messy that I can't even use it.

What's super interesting to me is how she's bridging the gaps between departments by making it so their data collection means are consistent. Over here in sales, we're tracking this one thing. In marketing, we're tracking this other thing. Instead of everyone being in silos, she's taking those data points across the board and connecting them all together. She mentioned an insane stat that...

What's super interesting to me is how she's bridging the gaps between departments by making it so their data collection means are consistent. Over here in sales, we're tracking this one thing. In marketing, we're tracking this other thing. Instead of everyone being in silos, she's taking those data points across the board and connecting them all together. She mentioned an insane stat that...

What's super interesting to me is how she's bridging the gaps between departments by making it so their data collection means are consistent. Over here in sales, we're tracking this one thing. In marketing, we're tracking this other thing. Instead of everyone being in silos, she's taking those data points across the board and connecting them all together. She mentioned an insane stat that...

about how quickly their customer case times are improving versus what they were like two and a half years ago. I mean, it's just bonkers.

about how quickly their customer case times are improving versus what they were like two and a half years ago. I mean, it's just bonkers.

about how quickly their customer case times are improving versus what they were like two and a half years ago. I mean, it's just bonkers.

What she mentioned that I found very profound was how her leadership basically came in and they were like, we know nothing. This thing is so new, this beast, this AI beast is so new. We know nothing. And we're going to turn to the people on the ground, the people doing the work every day, and ask them to help us, to help guide us through this AI process.

What she mentioned that I found very profound was how her leadership basically came in and they were like, we know nothing. This thing is so new, this beast, this AI beast is so new. We know nothing. And we're going to turn to the people on the ground, the people doing the work every day, and ask them to help us, to help guide us through this AI process.

What she mentioned that I found very profound was how her leadership basically came in and they were like, we know nothing. This thing is so new, this beast, this AI beast is so new. We know nothing. And we're going to turn to the people on the ground, the people doing the work every day, and ask them to help us, to help guide us through this AI process.

And she talks a lot about how her leadership has empowered their employees to test, iterate, experiment, to figure out what can work within their organization to actually augment their team so they can effectively stay ahead of others. bad actors. She talks about how to implement AI step by step.

And she talks a lot about how her leadership has empowered their employees to test, iterate, experiment, to figure out what can work within their organization to actually augment their team so they can effectively stay ahead of others. bad actors. She talks about how to implement AI step by step.

And she talks a lot about how her leadership has empowered their employees to test, iterate, experiment, to figure out what can work within their organization to actually augment their team so they can effectively stay ahead of others. bad actors. She talks about how to implement AI step by step.