Ep 214: KPMG Leader’s Secrets of Balancing AI Innovation and Ethics

Embracing Transparency in Implementing AI

One of the fundamental aspects in the successful integration of Artificial Intelligence (AI) in a business setting is transparency. Honesty about what data is being collected and why it's being used is crucial to establishing trust with both customers and regulators alike. In a world where consumer privacy is highly valued, ensuring clear communication about data usage is imperative.

Partnership with Regulatory Bodies and AI Experts

Collaborating with regulatory bodies and AI experts can drastically reduce any blind spots. Consulting with those who deeply understand the legal and technical aspects of AI implementation can prevent oversights, ensuring your business operates within established ethical guidelines.

Governance in AI Adoption

The adoption of AI into business operations isn't just about the technology. It includes implementing the right ethical framework and governance. Strategically-designed policies that govern AI use can help safeguard businesses and consumers from potential exploitation.

Enhancing Personalization via AI

AI technology holds the prospect of a more personalized customer experience. Various businesses, spanning from tech and healthcare to fashion and aerospace, have harnessed the potential of AI to provide personalized services to consumers while ensuring a significant level of ethical standard in its use.

Respecting Consumer Privacy and Data Protection Regulations

As AI's use proliferates, it's paramount to ensure this innovation doesn't infringe on privacy laws. Businesses must diligently navigate data protection regulations, like the General Data Protection Regulation (GDPR) in Europe, and respect consumer privacy to build and maintain trust.

Communication: The Key to Consumer Confidence

Over-communication is a strategy that businesses should adopt when handling consumers' personal data. By clearly communicating the reasons behind data collection and giving consumers control over their data, businesses can foster customer confidence and loyalty.

Adopting AI Responsibly and Ethically

The adoption of AI ought to be a thoughtful process, taking into account various factors like customer-centricity, stakeholder considerations, transparency, ethical use of data, privacy concerns, and clear communication. AI adoption should not only be about leveraging its capabilities but also about using it responsibly and ethically.

Agility in AI Adoption

AI adoption should be integral to the strategic roadmap for small and medium-sized enterprises (SMEs), as their size allows more agility in implementing new technologies. This flexibility can improve customer service in innovative ways, especially during challenging situations like pandemics.

The Role of AI in Business Adaption and Innovation

The COVID-19 pandemic highlighted the need for businesses to adapt creatively to serve clients. AI has played a pivotal role in this adaptation process, showing its disruptive effect on various industries. Businesses failing to adopt AI may risk finding themselves outpaced by their more innovative competitors.

To conclude, the ethical considerations in AI adoption are multifaceted and complex. However, when carefully employed, AI can drive significant innovation and strategic growth in businesses while ensuring customer trust and regulatory compliance. Businesses should approach AI as not just a tool but as an integral part of their strategy for ethical business development.

Topics Covered in This Episode

1. Essential Key Factors Towards Acing AI Adoption
2. Personalization in Customer Experiences
3. Addressing Regulations in Different Regions
4. KPMG’s Approach Towards AI Adoption
5. Recommendations for Ethical AI Adoption

Podcast Transcript

Jordan Wilson [00:00:15]:
When we talk about using artificial intelligence, there's no limit to what businesses can do, but there probably should be some limits on how it's implemented. Right? Because innovation in AI can happen so fast, but there's ethical considerations that we have to keep in mind. And we're gonna be talking about that today and more on everyday AI. Thanks for joining us. My name is Jordan Wilson. I am your host of everyday AI, and this show's for you. Right? This is a daily livestream, podcast, and free daily newsletter helping everyday people like you and me not just learn generative AI, but how we can all actually leverage it to grow our companies and to grow our careers. So some days, you get just me.

Jordan Wilson [00:01:00]:
Some days you get an amazing guest who's helping other companies push AI forward in the workforce. So that's today. We have a guest. But before we bring on our guest and talk about this, let's do as we do every day, let's go over the AI news. And as a reminder, if you are joining us live, please go to your everyday ai.com. Sign up for our free daily newsletter. And if you're on the podcast, we always leave, you know, those links and and more notes in the description for, each episode. So make sure you go sign up for the free daily newsletter.

Jordan Wilson [00:01:29]:
And I tell people it's literally like a generative AI university. We have now more than 200 episodes. You can go watch at any time, cat, like, by category, right, and read every single newsletter that I've written. Yes. A human, former journalist, I write the newsletters. It's not AI. Alright? So let's talk about what's going on in the world of AI news. So Stable Diffusion 3 has been released.

Jordan Wilson [00:01:52]:
So Stability AI just announced their next generation model, stable diffusion 3, claiming it will improve quality and accuracy with multiple subject prompts. So stable diffusion 3 3 promises more accurate text incorporation within generated images, setting it apart from its predecessor. This obviously comes after rival company OpenAI released their new AI video model, SoRA, which also does images, and it also raises the concern for the potential for fake videos. Right? Deepfakes, it's all the talk now, especially with the election here in the US. But both companies are taking steps to prevent misuse of their tools, and we'll be working with experts before publicly releasing them. Alright. So speaking about things that haven't been publicly released yet, Apple is building a secret AI tool according to reports. Alright.

Jordan Wilson [00:02:40]:
It's a new one here. Apple has apparently quietly released a generative AI tool called Ask for it's it's called Ask. Alright. So they've released it. It's called Ask, and it is for its Apple Care support advisors, and it's expected to be a key feature in the upcoming iOS 18 and iPhone 16 releases. So this tool right now is for employees to provide faster technical support by generating responses to customer queries from Apple's internal support database. So Apple's new AI tool, Ask, it's just currently only available to a select group of Apple Care Advisors, but it is expected to be rolled out to more employees soon. So guessing this is the the precursor of what all end users may, ultimately be using, you know, when the new iOS updates or when, Apple announces its gen AI offering at its WWDC conference in June.

Jordan Wilson [00:03:34]:
Last but not least, sad news. If you listen to the everyday AI show, you know I love chat gpt plugins. Well, they are officially gone. Well, they officially have a death date. Right? So I've been talking about this for months. We've known that they were gonna get phased out, but chat g or open AI just released this. But they are announcing they just announced on the website they are winding down plug ins. So new conversations with plug ins will be disabled on March 19th.

Jordan Wilson [00:04:02]:
So you can no longer start a new conversation with chat gpt plugins on March 19th, and your current conversations with plugins will no longer work after April 9th. Alright. So no new plugin conversations, March 19th. And your current ones won't work after April 9th. Sad day. And, hey. We're gonna have to update our free prime prompt polish PPP course because it a lot of it's based on plugins. So, alright.

Jordan Wilson [00:04:25]:
That's gonna take a little 3 week off break while we revamp it. Alright. You didn't come here to hear me talk about, plug ins. You probably came to hear about the ethical consideration of AI and strategic vision. So, I'm excited for today's conversation. I I love talking, with leaders in the consulting industry, and that's who we have today. So, please help me welcome to the show. Bring him on.

Jordan Wilson [00:04:48]:
Here we go. Alright. Kelly Dowd. Kelly is the senior is a senior consultant at the Innovation Lab at KPMG. Kelly, thank you for joining the show.

Kelly Dowd [00:04:57]:
Thank you so much Jordan for having me. This is a great show, and I'm so happy to be here.

Jordan Wilson [00:05:02]:
Alright. I'm excited. So, Kelly, before we dive into it and before we talk about how you can use AI for more personalized experiences and ethical consideration and all that, tell us a little bit about, what, I mean, what you do at KPMG.

Kelly Dowd [00:05:17]:
Yeah. Thank you so much. First of all, I just wanna say, everything I'm gonna say here is just for my personal opinion, and it's not a representation of of my firm KPMG. So, yes, I'm Kelly Dodd. I'm a Nigerian American based out of Washington DC, and what I do for the firm is really to help our clients think differently. You might wonder, what do you mean by think differently? So we have our clients reevaluate their current products, their services, their process, and think of what are the strategic initiatives that they can take, right, to improve all of this product or service or processes, or what are those next new ideas that they might be thinking about? And as you know, with AI here, down on our fingertips, we can generate millions and millions of ideas. Alright? So it's just it's just a gold mine for everyone. However, we just have to, like, think about, okay, what are those ethical considerations? What are those privacy laws that we are not thinking about on a daily basis, but we have to pay attention to because they are complex and, of course, we don't want lawsuit rights.

Kelly Dowd [00:06:24]:
So we have to think about the length of breadth of others. So and and as we go on in this conversation, I would deep dive into all of these critical experts. So thanks for having me again.

Jordan Wilson [00:06:34]:
Oh, no. Absolutely. Alright. So we got that. Yeah. I sometimes, you know, if if you work in the big companies, you can't talk through the companies. We get it. So we're just talking to Kelly, Kelly today and his personal experience.

Jordan Wilson [00:06:45]:
So if you are joining us live, make sure to get your your your questions in for Kelly. So, I mean, what do you wanna know, about strategic innovation and AI and how we can balance it? But, you know, Kelly, like, one thing I'm I'm curious about with with with your personal experience. You know? So you talked about, you know, a big part of what you do is is helping companies reimagine, right, what can be comfortable with AI. Like, I'm curious because I think that sometimes it's hard for companies to to think differently, especially, with, you know, a technology so impactful as generative AI. What's been your experience so far with this? I mean, are do do you think in general, companies, is it very hard for them to change their ways of thinking that maybe has helped them, you know, grow, you know, in in the previous decades?

Kelly Dowd [00:07:32]:
That's a beautiful question. And, you know, I'll I'll first of all, let me let me let me just put this out there too. So when you think about change, it's not something that is easy at all. Right? We all love that, process of transformation, but to take the leap of faith, right, to engage in the transformation, it's not something that we enjoy. I mean, some people get a thrill. For example, yes, I'd love the trail of just trying to, like, change things around. Right? The same thing it is because a lot of people love to assess, what they have been used to. So when you are rolling out new, innovation, when you are rolling on new ideas, new technology for people to use, you're actually tapping into that strength power of, like, okay.

Kelly Dowd [00:08:19]:
You have to relearn a new tool and which is something that we've really seen across the board, you know, from from, from clients to even employees as well. So it possesses this challenge of, okay, when is the right time for me to take the leap or when is the time to, like, sit back? I mean, Jordan and the audience, look, AI, it's not, it's not a new concept. It's been in existence for a while. But what makes it new, what makes it so like a shining jet is the fact that generative AI is here and then it's actually disrupted the industry. And, frankly, if you don't jump on the bandwagon, you are really lagging behind. And I'll give you a primary example here. Look at what happened with COVID. No one saw COVID come in.

Kelly Dowd [00:09:09]:
I mean, some people might have said, okay. There might be a pandemic that that will be coming, but, however, we were not prepared at all. No one was prepared for it. And look at what happened. A lot of companies, you know, closed because they didn't think about, okay, what are the new ways? What are those, ways that we can be thinking about serving our clients? Well, we were all we were all at home for almost a year, more than a year, and a lot of companies even come back to business at all. Take for example, small, you know, small size businesses, they have a lot of impact, right, on on KiBank. Because if you if you look at it from this perspective as well, bring it back to the food to the food and beverage industry, the restaurants. Some restaurant were like, okay.

Kelly Dowd [00:09:59]:
This has happened. People have shopped at home. They need to be fed. We need to stay in business. Right? We need to continue growing and things like that. So how can we do this? Some businesses went into this whole mode of, okay. I will, I would do a cup side pickup or I would do a delivery service. And as you know, Jarden, the companies that didn't go through the process of, thinking creatively or just just expanding their idea or trying new things.

Kelly Dowd [00:10:28]:
Right? Those are the companies that actually, closed or failed. I'll use the word failed because, for every, century, there's always a huge transformation.com. But when the transformation come, I mean, even the technology transformation that happened. Right? And here we are, again, advanced technology. And what is to come? But we can actually use AI perhaps to think about what is to

Jordan Wilson [00:10:53]:
come. Yeah. So many like, Kelly, I I love how you, you know, kind of compared it to, you know, a pandemic. No one sees a pandemic coming, but when it does come, I mean, you you have to change. Right? You have to change your daily life, and it does change you, you know, from that point forward. Indeed. With that in mind, know, for for the companies that you're working with at KPMG, you know, do you think that they've kind of already made that that shift when it comes to generative AI? Like, have they looked at it and they're like, okay. We have to change the way that we do business moving forward.

Jordan Wilson [00:11:27]:
Have you already seen that, or do you think that there's still some some hesitation? Are companies still like, we're not sure about how this, you know, generative AI or how these large language models are gonna impact the industry?

Kelly Dowd [00:11:39]:
Beautiful question. And look at us again. Right? If you think about the direction that's what we're heading and the the timeline at which AI generated AI came to play, it's still relatively new. So because of that, we have seen, consistently, companies trying to take a step back to reassess, to reevaluate, to just at least to able think strategically where they are heading to. Right? They have to, like, rethink their vision, their mission, their purpose. And most importantly, is AI just a shining object that we will use and it will just fall to the side and we will be like, okay. What is next? So because of that, a lot of companies are taking a very careful consideration in adopting AI. As you know, right, to just give you a public example of some of the companies that have adopted AI, take for example, Pentagonia sustainable initiative strategy.

Kelly Dowd [00:12:36]:
I mean, that is 1. I mean, you can also, think about IBM's Watson for oncology. Right? So that is another company that I've seen the importance of AI and actually taking AI and work it into the medical system. So, also, I believe Unilever's, AI fair, for hiring, that is another, critical initiative that was actually rollouts too that really helps to foster this, best hiring, thinking about, okay, when we are trying to, like, hire employees and all, okay, what are the ways that we can be, we can be equitable? Right? We can diversify, and we can make sure that we have the right talents because at the end of the day, the right talents, that are needed will be able to, like, implement whatever description that they've been given. If they are not right for the job, then they will struggle. Right? With the struggle, it comes with, perhaps potential turnover. And also the struggles bring, even the companies, spending more money on training, and each and every company wants to be deeply effective, and minimize cost as much as possible. So companies right now are thinking strategically, and they are taking one step to the head.

Kelly Dowd [00:13:53]:
In my, in my forecast, I will say that will happen one day. We will have a lot of company adopting AI. But for now, people are still taking a very, very careful consideration when it comes to AI adoption.

Jordan Wilson [00:14:09]:
I'm curious about that because, obviously, you know, you're working with with companies of of all sizes.

Kelly Dowd [00:14:14]:

Jordan Wilson [00:14:14]:
You know, probably smaller, medium, and then some of the largest companies in the world. Right? Right. So I'm curious. Like, I've I've always said, you you know, for, you know, especially like small and medium sized businesses, maybe they they have a little more agility and they can take generative AI on a little more, wholeheartedly and and maybe even quicker. What are some, you know and this this goes to a question here from Harvey. So thanks for thanks for asking this, Harvey. He just says, what are some of the top tips that you usually share with others? So, yeah, if a company is, you you know, ready and maybe they are a little more agile and they say, hey. We can implement this, you know, this month.

Jordan Wilson [00:14:51]:
What are some of the top tips that you might share?

Kelly Dowd [00:14:54]:
Well, that's a beautiful question, and I I would try to be very, very careful here. I said I don't give everything. I'm joking. So, frankly speaking, when a when, when a company is trying to go to the process of adopting any, AI, technology, I I would say one of the, top things that comes to mind is customer centric approach. Because at the end of the day, you need to think critically about, you know, your your end user. You need to think about your customer. You need to think about your stakeholders. So just take that stakeholder centric approach.

Kelly Dowd [00:15:29]:
I I I don't know how familiar people are with your whole concept of stakeholder centric approach because with that, it's it's really helps you. So think deep into each and every, stakeholder that you serve. We're talking about the Internet stakeholder. We're talking about the external stakeholder because the interesting thing that a lot of people don't, that we've seen that don't pay critical attention to is the internal stakeholder. Your internal stakeholders, you're talking about your employees. Right? You're talking about your board. You're talking about all of the people. The people that actually roll up their sleeves on a daily basis to do the work for you.

Kelly Dowd [00:16:06]:
You know, they really push the organization forward. Now think deep. So you have to think about that. So and, the top party, clients that you have that actually provide you some of the resources that help you to be able to, like, deliver to your clients. Think about those people as well and most importantly, your main clients that you serve. So that is your whole stakeholder centric approach. You you have to think about it in a 3 60 degree, way of evaluating all the people that you serve, the people that really help you that bring your products alive. The other parts too that a lot of, companies, can think about, and this is something that we've seen out there that really helps, is transparency and communication.

Kelly Dowd [00:16:49]:
You know, when you are trying to adopt, technology like this, make people understand the critical impacts, make people understand the critical value, and make people understand the process it would take. So take, for example, if normally it takes you, 2 weeks, right, to, to ship out on information, it takes you 2 weeks to get things done to deliver to your clients. And now with a process like this, you will do it within, let's say, 3 days. Right? You have to communicate that to your clients, and you're frankly speaking. You have to be transparent as well. Because the truth is, if you're not, then there is that, expectation and misalignment. Because your customer are already, like, thinking, well, I will get this in 2 weeks. Woo hoo.

Kelly Dowd [00:17:42]:
So I'm gonna travel to Dubai. By the time I'm back from Dubai, it should be it should be here. But now it's already 3 days, then it's arrived. It's sitting outside. The rain comes, then destroyed the product if it's a shipping package or something. So you have to that is just a very, very small, example to bring this home. Just think about it from the perspective of, okay, your communication. You can never over communicate when it comes to anything that will help you for preventing, in my opinion, lawsuit.

Kelly Dowd [00:18:14]:
Right? So your customer, things like that, so you just have to really communicate and try as much as possible to be transparent. Think about communicating the data that you collect to your customers. Well, what is the purpose of the data? Why are you collecting this data? What for? Right? Because at the end of the day, you really need to be careful about the current data loss, right, that governs consumer privacy too and, personal usage of of of items. So the other thing that you can think about as well is collaboration and partnership. So you can try to collaborate with, let's say, regulatory bodies, right, or let's say people that are deeply involved in AI technology. So what are the things that am I missing? What are the oversight? What are the labs? Right? What are the things that are my blind spot that perhaps I'm not thinking about, but you are the experts in this domain. You're the expert in the industry. So then the last but not the least is just think about building an ethical framework and governance.

Kelly Dowd [00:19:16]:
Building an ethical framework and governance would definitely help you to think about a holistic approach of adopting AI.

Jordan Wilson [00:20:05]:
There's so much so much good information there, Kelly. Like, I'm over here just typing notes. Right? I've I've I've done this show, like, 200 plus times. I'm like, this is this is gold, y'all.

Jordan Wilson [00:20:33]:
Like, if if you're listening, I hope you're enjoying this as as much as as I am. So one thing I wanted to pull out there, Kelly, that I love that you brought up is is over communicating. Right? And you have to have you know, when you talk about ethical considerations, one of the biggest things is open and transparent communication. Right? Like one thing, I just had a conversation with our our attorney, you you know, for my company and she said, hey. You know, we're gonna be using AI in this, this, and this way. Normally, it would take this. We're gonna be billing you for this. And I'm like, okay.

Jordan Wilson [00:21:04]:
I appreciate that communication. Right? But I I I do wanna get to, one point here, Kelly, that we haven't talked a lot about. And that's, you you know, the future of what AI can allow us to do. Right? So when we talk about strategic innovation, I think that AI can really help us with personalization. Can you talk a little bit maybe about, you know, what you've seen in that space or maybe how companies can can use AI to even increase the personalization that they offer their customers or

Kelly Dowd [00:21:32]:
clients? Yes. And I would use Sephora as a primary example here because Sephora is one of the leading giants, right, in the in the beauty industry, and Sephora actually implemented an AR system that really helps their customers to identify, what shade of lipstick, alright, what shade of, what what shade of item that they need that is perfect for them. Because you have to think about it from the perspective of, okay, who are my clients? Who are these customers that I'm trying to serve? Right? What is your socioeconomic background? And what is what is Ivon D'Arrasio background? Because at the end of the day, you have to think deeply about each and every part of this, right, of your your implementation strategy because the people, the the bad okay. How much they have to spend? Think about it because, again, you wanna make profit, but at the same time, you want to ensure that your customers can afford your product. So that is 1. Then think about the, ratio diversity of your of your customers. Sephora did this perfectly well because you can say, oh, for example, I mean, of course, I'm obviously black, and I'm, like, so proud of it. Right? But if I go get a makeup, for example, and it's not a shade of my skin, right, and if I apply it, my dear, you come here.

Kelly Dowd [00:22:55]:
Dorito or burrito, however you wanna you wants to call me. Right? Because you think, well, I mean, the apple doesn't match oranges and things like that because it it doesn't. It's noncoherent, cohesive, and it doesn't look the same. So Sephora is leading in this arena of, like, okay, trying to use AI to create a more personalized experience for their customer because at the end of the day, you need to lay more emphasis on that experience. Every person here wants something that is best for, that is tailored to them. I mean, and also it doesn't have to be really expensive. It could just be a little odd that you change your business model that make, your customers feels like, okay. This is about me.

Kelly Dowd [00:23:38]:
This is my product. This was made for me. I'm snagging it out of the chef.

Jordan Wilson [00:23:43]:
That's Kelly, that's such a good example. Right? It's it's tangible that something you can hold in your hands, you know, like a company like Sephora using generative AI to to better match, you know, their their end customers, you know, with a shade of of makeup that might better, you know, fit their skin tone or or maybe a look that they're going for. But, you know, I guess the downside of of more data and more personalization and just more AI is is more concerns about about privacy and and ethics. So how can companies balance that? Because it is so powerful. And and I I think we're living in this sweet age of we have so much data, right, until Google maybe finally gets rid of cookies in 2024. So we have this, like, sweet spot where we have so much data, so much power with generative AI. How can companies balance it ethically with privacy and keeping that trust?

Kelly Dowd [00:24:31]:
That's a beautiful question, and I did not anticipate this question. I'm just kidding. So one of the things that, that companies can do really is they need to respect consumer privacy. Brand must navigate, like, complex data, protection regulations about that. Right? Think about the GDPR in Europe. Read, I I would I would encourage every person listening today is try to read. If you're trying to go into the field of AI or adopting AI as a whole for your personal or for your business, for your company as well. Just think about the navigating the complex data structures and protections or regulation that are out there.

Kelly Dowd [00:25:13]:
So the GDPR in Europe will really help you. The CCPA in California as well will really really help you to give you more insights into, okay, what are the things that I can do or what are the things that I shouldn't do? What should I stay upfront? And also it will give consumer more control of their personal data. Because at the end of the day, I don't want my data to be going to a company that I don't know anything about, and I don't know what it'll be using the data for. So as you are, John, and I'm sure you're really, really, concerned about your personal data, You will you'll you'll you'll try and select fill out a form online to join a site, and they're asking you for all of this data. Like, okay. What is your data? That is very common. I'm just gonna put something very, very silly out there. What do you do before you go to bed at night? It's none of your business.

Kelly Dowd [00:26:02]:
Well, I may maybe you needed to perhaps, create something that is tailored right for me, for my sleeping powder, and things like that. So you have to communicate the reason why you need that data and where is that data going to. So you have to be careful. Again, back to the over communication. You cannot do wrong by over communicating the need for those data. Think about it. So try to find a way that you can give consumers control of their personal data and adopt privacy by design principles as well. So just think about when you collect data, process the data, try to use a a more transparent and secure way of, you know, like displaying the data or even making a case for why you need the data.

Kelly Dowd [00:26:51]:
And again, Sephora did a great job of this. Right? They personalized their beauty product. They also informed their consumers how their data be used. And last but not the least, they get it they they get they get their consumers control about the data privacy too. So it's like, well, I'm gonna really help you to, find the product that best match your skin, but I would tell you why I am doing it this way. And the most important thing is you have control over your data. So don't worry. I'm not gonna, like, polish your data.

Kelly Dowd [00:27:22]:
I'm not just gonna, like, take it and put it in the data bank and, woof, it's gone. No. So Sephora have done a great job, right, of helping clients to find the right product, and I say communicating to them why it is essential and most importantly, giving them the power to own their data.

Jordan Wilson [00:27:40]:
So so, like, just the concept again of over communicating both upfront and on the back end, Kelly, that's that's great advice or any leader, any company out there. All right. So before we land this plane, we got a couple quick questions. We'll see if we can go through them kind of kind of rapid fire styles. We can get in from the audience here. So, question here. So asking how, and and sorry. I don't know if it's Cow or or Chao.

Jordan Wilson [00:28:05]:
So, how do you help clients using AI? Like, is it just do they come to you with a a software or do they come with you and say, hey. We need to save time. How do companies normally, you know, come and and work with you?

Kelly Dowd [00:28:17]:
Yeah. That's a beautiful question. And, Kai, thanks for asking the question. So one of the things that we do really is we do this assessment. Right? I will say with maturity assessments to understand the current state of the client's business and where they're heading to, which will be the potential future state. So with that is we're able to, like, advise the clients that the right time to adopt AI. Right? And the most important thing as well is, okay, when you are adopting this AI, what can you use this AI for? It's not then how can you prompt. Right? How can you generate? What about the data to the data that you need to feed? Are you gonna be using a public domain? Are you gonna be using public chargeability? Or do you need to, like, create your own specific company GPT that utilizes your data, while you're also connected to the cloud.

Kelly Dowd [00:29:07]:
So you have to think about it that way. So we advise our, I mean, one of the things that we just say to client, is trying to understand the current state, right, and perhaps the potential future state where they're heading to. So with that, we'll be able to, like, devise the the best AI strategy to adopt.

Jordan Wilson [00:29:25]:
Great. Alright. So, here we go from Rolando. Great question. Saying, Kelly, do you see certain industries more open to using AI for innovation?

Kelly Dowd [00:29:35]:
That's a beautiful question. I will say yes. Right? I mean, right now, almost all industries industries are joining into the bandwagon of adopting AI and using it for innovation. So take for example, the tech industry, as you know, they already just AI everywhere. Google, Apple, right, even your even your WhatsApp has AI. So there's AI everywhere. Now you can use it, and they are also, like, they also, platforms out there that you can download from your app store to to be able to, like, use air on your personal phone as well. So it generates those emails, right, those ideas, so innovation, but innovative thought.

Kelly Dowd [00:30:15]:
So it's newsletter and things like that. So the other thing too the that we've seen is we've seen the health care industry adopting more AI centric approach as well. I mean, of course, they are merging it with, customer centric because at the end of the day, the patient comes first, like, okay, what are the ways they can utilize AI to enhance the life of a patient? So the other industry that we are seeing is I mean, aerospace is coming on. Aerospace, aerospace, and and defense. Yes. Yes. Yes. Which is really great.

Kelly Dowd [00:30:47]:
And I will say it's my anticipation that I hope that the government will, you know, will be on the plane soon to join us in the whole, you know, let me use the word, quest for ethical use of AI and so, so, and last but not the least, the fashion industry, which is the industry that actually came from before consulting because I was a fashion model and you know before and I know it's time so we're not going to like go into all of that So then maybe that's for another time. But the fashion industry, a a $1,000,000,000 industry is actually in Seattle as well leveraging AI. So we are seeing things, out there, and companies are joining, I would say as swift as possible, but with careful consideration.

Jordan Wilson [00:31:40]:
Alright. Yeah. You better you better be careful there, talking too much about fashion. We might have to hire you on, you you know, to help the everyday AI team here. Right. Yes. You know, going live every day. So alright.

Jordan Wilson [00:31:52]:
There's there's so many questions. We can't get to them all. I'm sorry. But I I do have to ask as we wrap up here, Kelly. What is your one biggest takeaway for for for companies out there? Maybe, you you know, you're speaking to a business owner right now who has a medium sized company and and they've been, you know, kind of, on the fence. Right? They they want to be able to innovate with AI, but they they they really do care about the ethical implications. What is that best piece of advice that you have for that person out there that can help them really leverage AI, but do it in a responsible and ethical way?

Kelly Dowd [00:32:27]:
That's a beautiful question. And all I would say is when you are not sure about adopting AI or not. So think about personalization and your customer experience. Think about that. So if you're all about your customers, if you're taking a customer centric approach, right, then perhaps an AI adoption will be might be the right way for you to go. However, should you decide that you want to go into that realm, think about the ethical use of data and think about privacy concern. All of those are critical, and they will really help you in the long run. And the last, but not a lesson I would say is over communicate.

Jordan Wilson [00:33:16]:
There's no no better. Like, I've I've I've always thought that over communication on AI is important, but, Kelly, through through your examples today, and you've shared, like, 5 or 6 use cases, the the the value that you've delivered in a short 32 minutes has been astounding. Thank you, Kelly Dowd, senior consultant at the Innovation Lab at KPMG. Kelly, thank you so much for joining the Everyday AI Show and sharing your insights with our audience. We appreciate it.

Kelly Dowd [00:33:42]:
Thank you so much. Thanks for having me, and have a good day.

Jordan Wilson [00:33:45]:
Alright. Absolutely. Hey, everyone. If you did get as much value as I did, make sure if this was helpful, please share this post with your friends. Maybe tag them if you're here on social media, but also join us Monday. Alright? Every single Monday, we talk about the AI news that matters. Please go to your everydayai.com. Sign up for the free daily newsletter because Kelly just dropped a lot of knowledge.

Jordan Wilson [00:34:08]:
It's all gonna be in there. Thank you for joining. We'll see you back next week and every day for more everyday AI. Thanks, y'all.

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