Speaker 1 0:00

Insights on AI and how to best apply it in your business, across marketing, sales, customer service and more, hosted by helpflow.com this is your guide to staying ahead in the world of AI for business. And just to blow your mind a little bit, our hosts are literally AIS talking to each other. Enjoy the show. Welcome

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Speaker 2 0:23

back to deep dive. Today, we're going deep on AI, and something tells me you're not just here for the buzzwords. Yeah, you want to know how it can actually make a difference in your business, right? That's right, you brought a great article with you. AI made simple how it works and why your business needs it. It's a good one. So we're gonna unpack this so you walk away with a solid understanding of the fundamentals absolutely and more importantly, some real world applications that you can actually put to work.

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Speaker 3 0:52

You know, what's so exciting about this is how AI has gone from this like futuristic concept to something that is surprisingly practical for businesses of all shapes and sizes, right? It

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Speaker 2 1:03

feels like a real turning point. Now, the article kicks off by defining AI in simple terms. Yeah, it's machines or software that can do things that, you know we think of as requiring human intelligence, right? But let's break that down a little bit further. What kind of things are we really talking about here? Well, all

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Speaker 3 1:20 

starts with data, okay? Ai thrives on two main types, structured data, which

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Speaker 2 1:25

is highly organized, like information in a spreadsheet, okay, and unstructured data, yeah, which is more free flowing, like the content of an email or a social media post, okay? And what's fascinating is AI can learn from both so

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Speaker 3 1:40 

it's like this super efficient learner, constantly absorbing information. Yeah, the article calls this machine learning. The more data it processes, the smarter it gets. Exactly. It's almost like how we learn from experience, yeah, exactly, right.

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Speaker 3 1:40

it's like this super efficient learner, constantly absorbing information. Yeah, the article calls this machine learning. The more data it processes, the smarter it gets. Exactly. It's almost like how we learn from experience, yeah, exactly, right.

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Speaker 2 1:54

And that's where training data comes in, okay? This is the massive amount of information that AI uses to learn and recognize patterns. Got it. The article gives a great example of an E commerce business using past customer support tickets. Oh, interesting to train its AI by analyzing those tickets and how they were resolved. The AI learns to handle similar inquiries effectively. So

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Speaker 3 2:18

it's almost like, like the AI is shadowing, yeah, like a seasoned customer service rep, exactly, picking up their their best practices,

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Speaker 3 2:27

the quality of that training data is key, okay, the better the data, yeah, the better the AI's performance will be. If you feed it messy or incomplete information, it's not going to be as effective,

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Speaker 2 2:40 

makes sense? Yeah, so data is the foundation. But the article also talks about natural language processing, or NLP. I'll admit this one always sounds a bit sci fi to me. Yeah, machines understanding and speaking our language. Yeah. How does that even work? Well,

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Speaker 3 2:56

it is pretty mind blowing when you think about it, essentially, NLP breaks down human language, yeah, into elements that computers can understand, okay, and use to communicate back with us, okay. It's what makes those interactions with AI feel so natural. Gotcha think about chat bots. They can answer your questions in real time, thanks to NLP

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Speaker 2 3:18 

so that E commerce business we were talking about, yeah, they could have a chat bot on their site using NLP to handle like simple questions about orders or returns precisely.

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Speaker 3 3:28 

And NLP isn't limited to just chat bots. The article also highlights how it's being used to analyze customer feedback, interesting, think, reviews, surveys, even social media comments. It's like having a team of analysts working around the clock, right? But without the overhead.

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Speaker 2 3:45 

That's a pretty compelling use case. So we've got the basics. Ai learns from data, both structured and unstructured. It uses machine learning to get smarter over time, yeah? And NLP allows it to understand and use our language, yeah. What I'm curious about now is, what does all this mean for a business, for someone you know, like you listening right now? Yeah, well,

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Speaker 3 4:07 

the article dives into some really compelling benefits, and these aren't just for tech giants. Okay, we're talking advantages that businesses of all sizes, right across all industries, can tap into. That's what I'm really

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Speaker 2 4:17 

interested in, the practical takeaways, right? Give me the why should I care stuff?

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Speaker 3 4:22

Okay, so first up, think about all those repetitive tasks that eat up your team's time, yeah, data entry, schedule, even some basic customer interactions. AI can automate a lot of that, freeing up your people to focus on more strategic, creative work. It's like

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Speaker 2 4:36 

having a virtual assistant who never takes a coffee break, right? But wouldn't automating some of those customer facing tasks lead to a less personal experience? That's

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Speaker 3 4:47 

a great question, and honestly, it was one of my initial concerns too, okay, but what's interesting is that AI can actually enhance the customer experience, really and in ways we haven't even

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Speaker 2 4:57

thought of before. Okay, I'm intrigued. Tell me more. Okay,

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Speaker 3 5:00 

think about personalized recommendations. AI can analyze someone's past purchases and browsing history to suggest products they might love. Yeah, or imagine predictive customer service, where AI anticipates a customer's need before they even reach out. So

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Speaker 2 5:17 

it's like AI is learning our individual preferences exactly, and becoming like this super intuitive, yeah, personal shopper, right? Or customer service agent Exactly.

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Speaker 3 5:28 

And this level of personalization can build loyalty like nothing else. The article mentioned some really cool examples in retail, healthcare, even hospitality, right? Industries where that personal touch is make or break, okay, so

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Speaker 2 5:43 

we've got time savings and an improved customer experience, yeah. What else is on the AI benefits list?

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Speaker 3 5:49 

Well, this next one is really powerful, data driven decision making, okay? AI can analyze massive amounts of data, yeah, and extract actionable insights that would take humans forever to uncover, right? It's like having a team of data analysts on

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Speaker 2 6:04 

speed dial. And I imagine this applies to just about every industry, right? Absolutely.

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Speaker 3 6:07 

In finance, AI can be used to predict market shifts. In marketing, it can analyze real time consumer behavior data to help companies adjust their strategies. It's about moving beyond gut feelings and making decisions based on a deep understanding of trends and patterns.

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Speaker 2 6:24

I'm starting to see why people are calling this a game changer. Now, all this analysis and automation sounds great, but it also makes me think about the impact on jobs. What does the article say about labor efficiency?

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Speaker 3 6:33 

It's definitely something to consider. The article acknowledges that AI can significantly reduce labor costs, right, by automating tasks that would normally require additional staff. But it's not necessarily about replacing jobs. It's more about shifting how work gets done. So instead

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Speaker 2 6:51 

of having people doing like repetitive tasks, they could be freed up to focus on more strategic initiatives or tasks that require a uniquely human touch,

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Speaker 3 7:02 

right? Think about tasks like market research, data analysis, even some aspects of customer service, AI can handle those efficiently and accurately, allowing businesses to allocate their human resources more strategically.

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Speaker 2 7:15 

So we've talked about time savings, improved customer experience, data driven decision making and increased labor efficiency. Yeah, it's pretty impressive list, it is. But let's get practical here. How does a business actually get started with AI? Where do you even begin? Well, the

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Speaker 3 7:32 

article lays out three key ways to integrate AI into your business. The first one is using AI to query large data sets, okay, think of it like having this incredible search engine, yeah, that can instantly find the exact information you need right from mountains of data. So

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Speaker 2 7:49

instead of spending hours sifting through spreadsheets or reports, AI can do the heavy lifting for us. Yeah, that would be a game changer, especially for teams dealing with, like, huge amounts of data exactly.

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Speaker 3 8:02

Imagine customer support teams being able to instantly access the information they need to resolve a complex issue, right? Or think about an AI tool that helps employees quickly find the right project data, yeah, without having to dig through endless files. It's about making information instantly accessible and usable. Okay,

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Speaker 2 8:21 

that makes a lot of sense. What's the second way to integrate AI? It builds

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Speaker 3 8:24

on what we were talking about earlier, using AI for data analysis and forecasting. The article goes deeper into how AI can analyze those mountains of data to predict trends and outcomes. It's like having a crystal ball, but powered by data, not magic. I'm starting

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Speaker 2 8:38

to see how this all connects back to those data driven decisions we were talking about, right?

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Speaker 3 8:42 

It's about being proactive, anticipating what's coming next, and making smarter decisions based on real insights, not just intuition. The article highlights examples in financial forecasting, predicting market trends, and even in E commerce, where AI can forecast website traffic or order value for like, peak seasons.

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Speaker 2 9:02

So we've got aI acting as a super powered search engine, uh huh, and a data driven fortune teller, yeah, yeah. What's the third way to bring it into the mix? This

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Speaker 3 9:12

one might be the most interesting. Okay, it's called data transformation. Essentially, AI takes all that raw data, okay, analyzes it and then suggests actionable steps. It's like having an AI consultant on your team.

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Speaker 2 9:25

That sounds amazing, but also a bit intimidating. Yeah, can you give me an example of how this would work in the real world?

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Speaker 3 9:31

Sure. Imagine you're an E commerce company with a tons of customer service tickets. AI could analyze those tickets, identify common issues and trends and then recommend product or service improvements. It's about turning data into insights and then turning those insights into action.

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Speaker 2 9:49

Okay, that's starting to click. But let's be honest, even with these clear examples, implementing AI can still feel daunting, especially for someone who's not a tech expert. Sure. Well. What does the article recommend for taking those first steps? It

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Speaker 3 10:02

actually provides a really practical step by step guide, and it emphasizes starting small. The first step is to identify those repetitive tasks in your workflow. Look for processes that could be automated, like sending out email responses or generating reports.

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Speaker 2 10:17 

I like that, starting with something manageable and building from there exactly,

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Speaker 3 10:21 

pick one or two AI applications to begin with, okay, and then carefully monitor the results. Okay, it's about testing the waters and getting comfortable with AI before diving in head first. So

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Speaker 2 10:33

we've got our pilot project. We're seeing some promising results. What's next? Do we just unleash AI on the entire company,

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Speaker 3 10:40 

not so fast. The article stresses the importance of training your team. Make sure your employees understand how to use the new AI tools, right and how they fit into the overall

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Speaker 2 10:50 

workflow. It's about empowering people with these new tools, not replacing them altogether.

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Speaker 3 10:56

Absolutely. And finally, the article emphasizes the importance of continuous evaluation and iteration. Ai improves over time as it learns from more data, so you need to constantly assess its effectiveness and make adjustments to your strategy as needed. So it's

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Speaker 2 11:10 

an ongoing process, not a set it and forget it kind of

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Speaker 3 11:13

thing, right? And honestly, that's also what makes AI so exciting. It's constantly evolving and getting smarter.

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Speaker 2 11:18 

Okay, so we've got the strategy down. But what about the tools? Are we talking about like some super expensive, complex software that only big corporations can afford, not

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Speaker 3 11:29

necessarily. The article actually highlights a few tools that are surprisingly accessible, okay, even for smaller businesses. Okay,

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Speaker 2 11:36 

give me the rundown. What are these tools and how do they work? So these tools, are we talking something a small business could actually get their hands on, or is this like enterprise level stuff?

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Speaker 3 11:46

You'd be surprised. The article spotlights chat GPT, okay, Zapier and Claude by anthropic each bringing something unique to the table. Let's start with chat GPT. You've probably heard of this one. Yeah, it's

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Speaker 2 11:58 

kind of hard to miss, right? It seems like it's everywhere these days. What makes it so special?

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Speaker 3 12:02

Well, the article describes it as a powerhouse, okay, for strategic planning and communication tasks. Gotcha, it can help you write anything from customer service responses, wow, to brainstorming new project ideas, okay, even crafting that perfect email or social media post.

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Speaker 2 12:19

So it's almost like having a virtual assistant who also happens to be a creative genius. That's

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Speaker 3 12:24 

could have, like, a new customer inquiry, automatically trigger a response, yeah. Chatgpt All hands free,

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Speaker 2 12:33

could have, like, a new customer inquiry, automatically trigger a response, yeah. Chatgpt All hands free,

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Speaker 3 12:40 

exactly. It's about making things flow smoothly and efficiently. I like it. And finally, there's Claude by anthropic, which is highlighted for its ability to handle really complex, large scale data analysis and forecasting. Okay,

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Speaker 2 12:53

that sounds like the big leagues. Yeah. What kind of business would benefit from something like clod?

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Speaker 3 12:58 

It's ideal for industries that live and breathe data, okay? Finance, healthcare, scientific research, even marketing. Claude can analyze massive data sets, detect trends and make predictions with incredible accuracy. So

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Speaker 2 13:12

if you're serious about making data driven decisions, Claude seems like the tool to have in your arsenal. Yeah, it's amazing how we've gone from Ai being this like mysterious concept, to understanding its nuts and bolts, yeah, its real world benefits, and even the tools we can use to bring it into our businesses. It really feels like AI isn't just the future, it's very much here and now. And

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Speaker 3 13:33

what's so exciting is that the true power of AI isn't just in the technology itself, but in how we choose to use it. It's a tool that can amplify our abilities, leading with greater efficiency, smarter decisions and even entirely new ways of working.

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Speaker 2 13:48 

It's almost like AI is giving us this superpower, the ability to process information and make decisions with the speed and accuracy we never thought possible. Yeah. So I'm curious what possibilities is is AI sparking for you listening right now? What repetitive tasks could you automate? What insights could you gain from your data? We hope this deep dive has given you a solid foundation to explore those questions and more.

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Speaker 1 14:13 

Thanks for listening to the aim podcast. If you found today's episode impactful, be sure to check out helpflow.com where we help businesses maximize AI across marketing, sales, customer service and more, visit helpflow.com today you.

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