Episode 4: (Data Bites) The AI Fear Paradox and a Problem of Buy-In

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In this episode we express a further problem not obvious in the initial episode (Episode 2. The Artificial fear Paradox). We worry that even though the team has buy in from their executive team as well as many people on the front lines helping customers, there is a gulf of suspicion across the rest of the organization.

Be sure to leave comments or feedback about how you have overcome this problem in your own company, or how you experience this problem every day.

I’m sure we can all learn from one another in order to make any data-driven initiative a success while avoiding the pitfalls inherent in the AI fear paradox!

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Music for the show: Foolish Game / God Don’t Work On Commission by spinmeister (c) copyright 2014 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/spinmeister/46822 Ft: Snowflake

Show Notes:

Welcome to data couture, the podcast about data culture at work at home. And on the go. I’m your host Jordan bohall. If you like what you hear, be sure to subscribe lows, get the latest episodes wherever you get podcasts. And if you’d like to stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod. Finally, if you’d like to help support this in future episodes,
consider becoming a patron of the podcast through our Patreon page@patreon.com. forward slash data couture. Now on to the show.

Welcome to data couture. I’m your host Jordan and on today’s data bites the short form episode, we’re going to follow up on the episode about artificial intelligence, namely, the artificial intelligence fear paradox. There a couple things that I just need to get off my chest before I can let this one go. So stay tuned.

So in Episode Two, we talked about the artificial intelligence fear paradox, that fear paradox, or that paradox, I should say states that while we know that automation and artificial intelligence are going to take away our jobs, we still believe that the job market is currently as strong as ever. So what explains this? And in the previous episode, I explained that well, maybe this isn’t really a paradox, because artificial intelligence, the true nature of artificial intelligence is a cognitive being or cognitive existence that involves creativity and problem solving and worry about the future, whereas the current state of artificial intelligence is just a set of statistical methodology is to predict patterns and data, right.

So God, I, I experienced this all the time at work, and I’m sure you do, too. And it drives me crazy. And frankly, I don’t know really how to bring people into the so called fold when I’m facing is the situation where I’ve been got an excellent data team, I’ve got an excellent set of people who are very, very smart, and very capable of producing top tier data products, how even have a top notch executive team that’s so willing to support the efforts of my team and my board even is so excited about what data and the possibility of all the data products and all the data practices that we can provide will bring to my organization.

What I don’t have is buy in, specifically buy in from my fellow vice presidents buy in from their directors buy in from their managers all the way down to our regular staff. And given that I work in the financial services industry, I of course, have people especially and say, our contact centers and our frontline, our retail, I work at a credit union. Retail is just another term for the branch network, right who are so so high hungry for excellent data products and excellent ways to make their lives easier. They’re so excited whenever they can see tracking for, for example, which contact center agent is producing the most volume, who’s succeeding in the most calls, who’s helping the most, the greatest number of our members.

Similarly, for retail, while we don’t believe in product pushing, we’re not a big bank, we’re not a community bank, for that matter. We believe in supporting the financial health of our membership, right. And I’m sure you’ve heard that and news outlets and various marketing campaigns. But the reason that I work for my credit union is because from the top to the bottom, we truly believe that the membership that we serve can really get off to a better foot with their finances if they’re not there already.

And so I don’t know where this is failing, right? I have my frontline staff, I have my contact center stuff, I have my executive team, I have my team, we’re all on the same footing. My IT team I information security team. Some people in my risk team, some people in my finance and accounting team, you know, they’re all on board. But that’s not enough. That’s not enough to get everybody on the same track with using data not only just to have reports and various tracking measures and tracking methods, because at the end of the day, that’s not going to help us insights, the insights that we need to truly help our membership base. And so what frustrates me is exactly what underlies this artificial intelligence fear paradox.

It’s this fear that if they open their doors, if they let the vampires in the data vampires, that their jobs are going to be eliminated. Of course, we’re not out to take anybody’s jobs, all we want to do is make everybody’s job easier. We don’t want people to have to remember a certain set of buttons to click, we want them talking to our membership base, we want them engaging with the people who matter most to us, our members, right. But I, it doesn’t matter how much swag I get them, it doesn’t matter how many times I visit every group, they still have this fear that’s residing deep within them.

And so to be honest with you the track and the tactic that I’m taking, is one of education. I’ve taught for many years in the universities, I’ll be teaching and this coming fall and future semesters. Granted, I am now teaching graduate courses, but the same factor remains. I think that at the end of the day, what really needs to happen is this overwhelming education front where I teach them, and my team teaches them and the rest of the organization who has already bought into this notion trains them to use these data products to enhance their lives, enhance and enhance the lives of our membership base.

I would love to hear if you guys have had any other similar struggles in your own efforts to change a culture to one that’s data driven to change one that formerly had this deep fear of automation and the rise of artificial intelligence. And let me know how it’s going. Let me know what worked, what didn’t work. The rest of us that are listening, the rest of us that are paying attention to this podcast will love to get any insights possible and hopefully we’ll be able to AB test them on our own. So for that I truly thank you and I hope you have a wonderful day.

That’s it for the show. Thank you for listening and if you liked what you’ve heard, then consider leaving a comment or like down below. Stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod considered becoming a patron@patreon.com forward slash data couture music for the podcast. It’s called foolish game. God don’t work on commission by the artist spin Meister used under the Creative Commons Attribution 3.0 license, writing, editing and production of the podcast is by your host Jordan

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