November 10, 2024 • 17 mins
In this episode of the AiSultana podcast, we dive deep into how AI is reshaping business operations and strategy with high-impact results. From automating repetitive tasks to enhancing customer experience and mitigating risks, AI's potential to deliver significant ROI is undeniable. We’ll discuss how organizations can leverage predictive analytics for smarter decision-making, retain customers through personalized engagement, and implement AI projects that align seamlessly with business goals. The importance of data quality, roadmap development, and securing stakeholder support to unlock AI's full value. Join us for actionable insights and strategies to harness AI's transformative power in business.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
All right, get ready to dive in because today we're looking at how AI is changing the game
(00:06):
for businesses.
Yeah, it's pretty wild stuff.
We've got some articles here all about how businesses are using AI to, well, make more
money.
Right, and keep their customers happy.
And even plan for the future.
But before we get ahead of ourselves, we've got to talk about ROI, you know, return on
investment.
The bottom line, right.
Exactly.
AI is turning out to be like this secret weapon for boosting those numbers.
(00:30):
One of the biggest ways it's doing that is by taking over those, let's be honest, kind
of boring tasks that humans hate doing.
Like data entry.
Exactly.
Or dealing with invoices.
Or scheduling meetings.
All that stuff.
Think of it like, I don't know, having a robot intern who never gets tired.
So I could finally get rid of my inbox.
I'd call that a pretty good return on investment.
Exactly.
(00:50):
So by taking over those mundane jobs, AI frees up, well, human brain power.
So people can focus on the stuff that really matters.
The big picture thinking, the creative stuff.
So it's not about AI replacing humans.
It's about AI making humans better.
Right.
Think of it like this.
If you're a chef, you wouldn't spend all day, you know, chopping onions.
(01:10):
You'd use a food processor.
Exactly.
So you could focus on creating those amazing dishes.
OK, I like that.
So AI is like the food processor of the business world.
You got it.
But here's where things get really interesting.
AI isn't just making businesses more efficient.
It's helping them understand their customers better than ever before.
It's almost like they can read their minds.
(01:30):
Well, in a way, they kind of can.
AI analyzes so much data about customer behavior, it can predict what people want.
That's a little creepy, but also kind of amazing.
It is.
Think about those recommendations you get on Netflix.
Oh, yeah.
They always seem to know what I'm in the mood for.
Exactly.
AI in action, analyzing what you've watched and suggesting other shows you might like.
(01:53):
It's scary how accurate it can be.
Like Netflix knows I have a thing for cheesy romantic comedies.
But it also helps you discover new things, shows you might have never found otherwise.
All right.
So AI can make businesses more efficient and give them a direct line to their customers'
preferences.
But can it actually predict the future?
(02:16):
Maybe not in a seeing into a crystal ball kind of way.
Right.
But it can get pretty close.
It can.
AI is getting incredibly good at forecasting trends and behaviors.
OK.
How does that even work?
Well, let's say you're a retailer and you're trying to figure out, I don't know, what products
to stock for the holiday season.
That's a tough one.
It is.
But an AI system can look at all sorts of data, past sales data.
(02:40):
Social media trends?
Yep.
Even weather patterns.
And use all that to figure out what people are going to want to buy.
Exactly.
So instead of just guessing, you can make smarter decisions.
So AI is all about taking the guesswork out of business.
Pretty much.
And that's just one example.
It can be used to predict all kinds of things, from customer churn to, you know.
(03:01):
Customer churn?
What's that?
Basically, it's when a customer decides to stop doing business with a company.
Oh, I get it.
So like when you finally break up with your cable provider.
Exactly.
And it's a big problem for businesses.
But AI can help by, I don't know, analyzing customer data.
Like what they buy?
That and also how they interact with a website or social media.
(03:25):
And they can figure out who's about to jump ship.
Yep.
And that gives businesses a chance to do something about it.
Like offer them a better deal.
Or just reach out and, you know, see how they can improve things.
Smart.
It's not just about getting new customers.
It's about keeping the ones you already have.
Absolutely.
And speaking of customers, have you noticed how many companies are using chatbots these
(03:46):
days?
Oh yeah, they're everywhere.
I have to admit, some of them are still a bit clunky.
I know what you mean.
Sometimes it feels like you're talking to a wall.
But the good ones can be really helpful.
Yeah, the best ones can actually understand what you're asking.
Right.
And they can give you personalized responses.
And if they can't help you, they can connect you to a real person.
So you're not just stuck talking to a machine.
(04:06):
Right.
So it's like having a 247 customer service team.
Exactly.
And they're not just for customer service anymore.
Really?
Yeah.
Chatbots are being used for marketing and sales and even education.
Wow.
So it's all about making those interactions feel more, well, human.
Exactly.
OK.
This is all pretty impressive.
(04:26):
But are there any companies actually using all this AI stuff to make a real difference?
Oh, absolutely.
We're seeing companies of all sizes using AI to innovate and improve their operations.
So it's not just for the big tech companies?
Nope.
Give me some examples.
Well, you've got companies like Netflix, Amazon, and Starbucks.
OK.
(04:47):
So some pretty big names.
What are they doing with AI?
Well, take Netflix, for example.
Their recommendation engine is legendary.
It's all powered by AI that analyzes millions of data points.
To figure out what you might want to watch.
Exactly.
And it's based on all sorts of things, like what you've watched before.
What you've rated highly.
And even what time of day you're watching.
(05:07):
So it's like having a personal entertainment concierge in your pocket.
Pretty much.
And it works.
Oh yeah.
It definitely works.
I can't tell you how many times I've gotten sucked into a Netflix black hole.
That's the power of AI-driven personalization.
OK.
What about Amazon?
They're using AI for practically everything.
From product recommendations.
To their Alexa voice assistant.
(05:28):
To optimizing their delivery routes.
It's almost like they know what I want before I do.
And that's part of the goal.
To make the shopping experience as seamless as possible.
All right.
Last one.
Starbucks.
What are they doing with AI?
They're using it to personalize their rewards program.
Oh, like sending you special offers.
Exactly.
And they can even predict when you're most likely to want your next caffeine fix.
(05:52):
So they're using AI to get me even more hooked on lattes.
Clever.
Uh huh.
Yeah.
It's all about understanding your customers on a deeper level.
OK.
So we've seen how companies are using AI to automate tasks and personalize experiences.
And even predict the future.
Right.
So how do they actually put all this into practice?
(06:12):
Well, you need a strategy.
A plan for how you're going to use AI to achieve your goals.
Exactly.
You need to ask yourself, what are your biggest challenges?
What areas could benefit most from AI?
That makes sense.
But how do you know if an AI project is even feasible?
That's where a feasibility analysis comes in.
So you're not just chasing after some AI pipe dream.
(06:34):
Right.
It's about being practical and making sure your AI projects are grounded in reality.
OK.
So without this deep dive, we've been talking a lot about the amazing things AI can do.
And there are a lot of them.
But it's important to remember that AI is ultimately a tool.
That's a good point.
And it's up to us to use it responsibly.
Exactly.
It's like any powerful tool.
It can be used for good or bad.
(06:55):
So we need to make sure we're using it to enhance our lives, not create new problems.
Exactly.
This has been an eye-opening conversation.
It's clear that AI is already changing the game in a lot of ways.
But I feel like we've only just scratched the surface.
We definitely have.
There's so much more to explore.
Welcome back to our deep dive into the world of AI.
(07:16):
Last time, we saw how AI is giving businesses this boost.
Yeah, helping them make more money, understand their customers.
But let's get into the details a bit more.
Sure.
How's AI actually helping with the everyday challenges that businesses face?
Well, one area where AI is a total game changer is in operations.
(07:39):
Operations.
Yeah, you know, streamlining things.
Think of it this way.
Businesses always want to do more with less.
Right.
Be more efficient.
And AI is like having all these super efficient robots working for you.
Less wasted time, less wasted money.
Exactly.
But how does that actually look in real life?
Can you give me an example?
Sure.
Take supply chain management.
(08:00):
Supply chain?
Yeah.
It's a complex process.
Lots of moving parts.
Lots of people involved, right?
Exactly.
You've got suppliers, manufacturers, distributors, retailers.
People trying to get products from point A to point B.
Right.
And as smoothly as possible.
Sounds like a logistical nightmare.
It can be, especially in today's global world.
But AI is it's like bringing order to the chaos.
(08:21):
Imagine a system that can analyze all the data, real time data, from all the different
parts of the supply chain.
So it's like tracking everything.
It's tracking shipments, predicting demand, even finding those bottlenecks that slow things
down.
And what does that actually do?
Well, it means reduced costs, faster deliveries, happier customers.
So it's like having an AI traffic controller for your products.
(08:44):
You got it.
I never thought of AI being used that way.
And that's just one example.
It can be used to optimize all sorts of operations, manufacturing, healthcare, finance.
It's about finding those areas where things are complex, where there's tons of data.
OK.
So AI can handle all that data and make sense of it.
Exactly.
We'll sit gears for a second and talk about marketing.
(09:04):
OK.
You know, it's always changing and it's getting harder and harder to reach the right people.
It's a tough world out there for marketers.
How is AI helping with all of that?
Well, it's like giving marketers this secret weapon, you know?
OK.
What kind of weapon are we talking about here?
Think about it.
In the old days, marketers would have to rely on, I don't know, broad demographics.
(09:27):
Just guessing who to target.
Lots of guesswork, lots of wasted money.
So AI is taking the guesswork out of marketing too.
Exactly.
Wow.
Well, it gives marketers all this data about their customers.
We're talking about everything from website clicks to social media posts to their purchase
history.
All that data can be used to create a profile of a customer.
(09:48):
Right.
And predict their behavior.
So instead of just sending the same message to everyone, you can personalize it.
Exactly.
I mean, I know I'm more likely to pay attention to an ad that feels relevant to me.
That's the whole point.
AI-powered marketing isn't about bombarding people with irrelevant stuff.
It's about giving them what they want.
Exactly.
The right message at the right time and creating a better experience for everyone.
(10:10):
OK.
Speaking of experiences, let's talk about customer service.
OK.
It can make or break a business.
It really can.
We already touched on chatbots, but how else is AI changing customer service?
Well, think of AI as this customer service superhero.
Superhero.
It's like having a team of agents working 247 to solve problems and answer questions.
(10:31):
OK.
I like where this is going.
One of the coolest things AI can do is analyze customer sentiment.
Customer sentiment.
Yeah.
Basically, it means understanding how a customer is feeling.
So is the customer happy, frustrated, angry?
Exactly.
And how does AI do that?
It can listen to a phone call, read a chat transcript, even scan a social media post,
(10:52):
and then it can figure out how the customer is feeling.
So if a customer is getting frustrated, the AI can alert a human to step in.
Exactly.
Or offer a discount.
Or suggest a different way to solve the problem.
That's pretty amazing.
It's about creating a more responsive and empathetic customer service experience.
OK.
I'm seeing a pattern here.
What's that?
AI seems to be really good at taking these complex tasks and making them, well, more
(11:16):
human.
You got it.
And it's not just about improving existing processes, right?
No.
It's about creating entirely new products and services.
Give me an example.
Well, think about health care.
OK.
AI is being used to develop new drugs.
Wow.
Diagnose diseases earlier and more accurately.
Even personalized treatments.
(11:36):
So it's revolutionizing health care.
It is.
And it's happening in other industries, too.
Finance, education, transportation, entertainment.
OK.
I'm convinced AI is a game changer.
It is.
But let's be realistic for a second.
All this sounds incredibly complex and expensive.
Sure.
Is AI really accessible to everyone or is it just for the big tech companies?
(11:58):
That's a good question.
And it's a common misconception.
OK.
While it's true that some of the really advanced stuff requires a lot of resources, there are
also tons of AI tools that are affordable and easy to use.
Even a small business could use AI.
Absolutely.
There are platforms out there with pre-built models for all sorts of things.
Like marketing and customer service.
Yep.
(12:18):
Some of them offer free trials or affordable subscriptions.
So it's not just for the big guys?
Not at all.
In fact, I'd argue that small businesses have a real opportunity here.
Well, small businesses are often more agile.
They can adapt more quickly.
They don't have all that bureaucracy to deal with.
Exactly.
And because they often have closer relationships with their customers, they can use AI to personalize
(12:40):
their offerings.
Make those customers feel special.
Exactly.
OK.
So AI isn't just a buzzword.
It's a real tool that businesses can use.
Right.
But before we get too carried away, let's talk about the human element.
Yeah.
AI is a tool, but it's up to us to decide how to use it.
That's an important point.
We need to make sure we're using it to enhance our lives, not replace us.
(13:02):
I agree.
So how do we make sure AI is used ethically and responsibly?
Well, that's a conversation for another time.
OK, we'll save that for later.
But I will say this.
The future of AI isn't set in stone.
It's a future that we're creating right now.
And that's a pretty empowering thought.
It is.
We have the power to shape this technology and use it to make things better.
(13:22):
We do.
But we'll dive into that more in part three of our AI journey.
All right.
Welcome back to our AI deep dive.
We've covered so much ground.
Yeah, from AI making businesses more efficient to, you know, changing whole industries.
My brain is officially overflowing with AI insights.
Ha ha.
I hear you.
(13:43):
But before we call it a wrap, we got to talk about the future.
The future of AI.
Oh, that sounds exciting.
Flying cars, robot butlers.
Maybe someday.
Who knows?
But the near future, I think it's all about AI getting even smarter.
OK, smarter AI.
Got it.
But how does that actually affect us, you know, the humans?
(14:04):
Well, that's the big question, isn't it?
And there are there are a lot of different opinions out there.
Yeah, some people are super excited about the possibilities.
Others not so much.
Exactly.
It's it's kind of a double edged sword.
So what are some of the things people are worried about?
Well, one of the biggest concerns is is jobs.
Jobs disappearing.
Yeah.
As AI gets better at doing things that humans used to do.
(14:24):
I can see why people would be worried about that.
It's a valid concern, but it's not quite that simple.
You know, AI will definitely change the kinds of jobs we do.
But it'll also create new opportunities.
So it's not about jobs going away.
It's about jobs changing.
Right.
Think about the Industrial Revolution.
Machines replaced a lot of manual labor back then.
But new industries and new jobs were created, too.
(14:46):
Exactly.
So we need to adapt, learn new skills to keep up.
So what kind of skills should we be focusing on?
The skills that are uniquely human, the ones that AI can't really replicate.
Like creativity?
Yeah.
Critical thinking, problem solving, emotional intelligence.
So it's not humans versus machines.
(15:06):
It's more like humans and machines working together.
That's the ideal.
AI can handle the repetitive stuff, you know, the boring tasks.
And humans can focus on the more creative and strategic work.
Exactly.
OK.
That makes me feel a little better about this whole AI future.
Good.
There is a lot to be excited about.
But we can't ignore the potential risks either.
Like what?
(15:27):
What kind of risks are we talking about?
Well, one concern is algorithmic bias.
Algorithmic bias?
That sounds kind of scary.
What does that even mean?
So AI algorithms, they learn from data, right?
And if that data is biased in some way, the algorithm can become biased, too.
So like if an AI system is trained on data that mostly features men in leadership roles.
(15:47):
It might unfairly favor men over women when making decisions.
Oh, I see.
So it's kind of like garbage in, garbage out.
Exactly.
We got to be really careful about the data that's used to train these AI systems.
And it's not just bias.
There's also the whole issue of privacy.
Right.
As these systems gather more and more data about us, we got to make sure that information
is protected.
Yeah.
(16:08):
I don't want my AI assistant spilling all my secrets.
No, but seriously, privacy is a huge concern in the age of AI.
So what can we do to protect our privacy?
Well, we need strong data privacy laws, regulations that give people control over their own data.
So people can choose what data is collected and how it's used.
Exactly.
And we also need to think about the ethical implications of AI.
(16:30):
OK.
This is getting pretty deep, but I think it's important.
It is.
As AI gets more powerful, we have to ask ourselves some tough questions.
Like what are the limits of AI?
What should it never be used for?
Yeah, those are the big ones.
We need to develop ethical guidelines for AI rules of the road.
So it's not just about the technology itself.
It's about how we use it.
Exactly.
(16:51):
The future of AI.
It's not just about algorithms and code.
It's about values and choices.
I like that.
This has been an incredible conversation.
It's clear that AI is more than just a way to make businesses better.
It really is.
It has the potential to change the world, for better or worse.
That's true.
It's up to us to use it wisely and responsibly.
(17:11):
I couldn't agree more.
The future of AI is in our hands.
This has been an amazing journey.
Thank you so much for joining me on this AI deep dive.
My pleasure.
To everyone listening, thank you for tuning in to the deep dive.
Keep exploring.
Keep learning.
Until next time, keep asking those big questions.
All right, get ready to dive in because today we're looking at how AI is changing the game
(00:06):
for businesses.
Yeah, it's pretty wild stuff.
We've got some articles here all about how businesses are using AI to, well, make more
money.
Right, and keep their customers happy.
And even plan for the future.
But before we get ahead of ourselves, we've got to talk about ROI, you know, return on
investment.
The bottom line, right.
Exactly.
AI is turning out to be like this secret weapon for boosting those numbers.
(00:30):
One of the biggest ways it's doing that is by taking over those, let's be honest, kind
of boring tasks that humans hate doing.
Like data entry.
Exactly.
Or dealing with invoices.
Or scheduling meetings.
All that stuff.
Think of it like, I don't know, having a robot intern who never gets tired.
So I could finally get rid of my inbox.
I'd call that a pretty good return on investment.
Exactly.
(00:50):
So by taking over those mundane jobs, AI frees up, well, human brain power.
So people can focus on the stuff that really matters.
The big picture thinking, the creative stuff.
So it's not about AI replacing humans.
It's about AI making humans better.
Right.
Think of it like this.
If you're a chef, you wouldn't spend all day, you know, chopping onions.
(01:10):
You'd use a food processor.
Exactly.
So you could focus on creating those amazing dishes.
OK, I like that.
So AI is like the food processor of the business world.
You got it.
But here's where things get really interesting.
AI isn't just making businesses more efficient.
It's helping them understand their customers better than ever before.
It's almost like they can read their minds.
(01:30):
Well, in a way, they kind of can.
AI analyzes so much data about customer behavior, it can predict what people want.
That's a little creepy, but also kind of amazing.
It is.
Think about those recommendations you get on Netflix.
Oh, yeah.
They always seem to know what I'm in the mood for.
Exactly.
AI in action, analyzing what you've watched and suggesting other shows you might like.
(01:53):
It's scary how accurate it can be.
Like Netflix knows I have a thing for cheesy romantic comedies.
But it also helps you discover new things, shows you might have never found otherwise.
All right.
So AI can make businesses more efficient and give them a direct line to their customers'
preferences.
But can it actually predict the future?
(02:16):
Maybe not in a seeing into a crystal ball kind of way.
Right.
But it can get pretty close.
It can.
AI is getting incredibly good at forecasting trends and behaviors.
OK.
How does that even work?
Well, let's say you're a retailer and you're trying to figure out, I don't know, what products
to stock for the holiday season.
That's a tough one.
It is.
But an AI system can look at all sorts of data, past sales data.
(02:40):
Social media trends?
Yep.
Even weather patterns.
And use all that to figure out what people are going to want to buy.
Exactly.
So instead of just guessing, you can make smarter decisions.
So AI is all about taking the guesswork out of business.
Pretty much.
And that's just one example.
It can be used to predict all kinds of things, from customer churn to, you know.
(03:01):
Customer churn?
What's that?
Basically, it's when a customer decides to stop doing business with a company.
Oh, I get it.
So like when you finally break up with your cable provider.
Exactly.
And it's a big problem for businesses.
But AI can help by, I don't know, analyzing customer data.
Like what they buy?
That and also how they interact with a website or social media.
(03:25):
And they can figure out who's about to jump ship.
Yep.
And that gives businesses a chance to do something about it.
Like offer them a better deal.
Or just reach out and, you know, see how they can improve things.
Smart.
It's not just about getting new customers.
It's about keeping the ones you already have.
Absolutely.
And speaking of customers, have you noticed how many companies are using chatbots these
(03:46):
days?
Oh yeah, they're everywhere.
I have to admit, some of them are still a bit clunky.
I know what you mean.
Sometimes it feels like you're talking to a wall.
But the good ones can be really helpful.
Yeah, the best ones can actually understand what you're asking.
Right.
And they can give you personalized responses.
And if they can't help you, they can connect you to a real person.
So you're not just stuck talking to a machine.
(04:06):
Right.
So it's like having a 247 customer service team.
Exactly.
And they're not just for customer service anymore.
Really?
Yeah.
Chatbots are being used for marketing and sales and even education.
Wow.
So it's all about making those interactions feel more, well, human.
Exactly.
OK.
This is all pretty impressive.
(04:26):
But are there any companies actually using all this AI stuff to make a real difference?
Oh, absolutely.
We're seeing companies of all sizes using AI to innovate and improve their operations.
So it's not just for the big tech companies?
Nope.
Give me some examples.
Well, you've got companies like Netflix, Amazon, and Starbucks.
OK.
(04:47):
So some pretty big names.
What are they doing with AI?
Well, take Netflix, for example.
Their recommendation engine is legendary.
It's all powered by AI that analyzes millions of data points.
To figure out what you might want to watch.
Exactly.
And it's based on all sorts of things, like what you've watched before.
What you've rated highly.
And even what time of day you're watching.
(05:07):
So it's like having a personal entertainment concierge in your pocket.
Pretty much.
And it works.
Oh yeah.
It definitely works.
I can't tell you how many times I've gotten sucked into a Netflix black hole.
That's the power of AI-driven personalization.
OK.
What about Amazon?
They're using AI for practically everything.
From product recommendations.
To their Alexa voice assistant.
(05:28):
To optimizing their delivery routes.
It's almost like they know what I want before I do.
And that's part of the goal.
To make the shopping experience as seamless as possible.
All right.
Last one.
Starbucks.
What are they doing with AI?
They're using it to personalize their rewards program.
Oh, like sending you special offers.
Exactly.
And they can even predict when you're most likely to want your next caffeine fix.
(05:52):
So they're using AI to get me even more hooked on lattes.
Clever.
Uh huh.
Yeah.
It's all about understanding your customers on a deeper level.
OK.
So we've seen how companies are using AI to automate tasks and personalize experiences.
And even predict the future.
Right.
So how do they actually put all this into practice?
(06:12):
Well, you need a strategy.
A plan for how you're going to use AI to achieve your goals.
Exactly.
You need to ask yourself, what are your biggest challenges?
What areas could benefit most from AI?
That makes sense.
But how do you know if an AI project is even feasible?
That's where a feasibility analysis comes in.
So you're not just chasing after some AI pipe dream.
(06:34):
Right.
It's about being practical and making sure your AI projects are grounded in reality.
OK.
So without this deep dive, we've been talking a lot about the amazing things AI can do.
And there are a lot of them.
But it's important to remember that AI is ultimately a tool.
That's a good point.
And it's up to us to use it responsibly.
Exactly.
It's like any powerful tool.
It can be used for good or bad.
(06:55):
So we need to make sure we're using it to enhance our lives, not create new problems.
Exactly.
This has been an eye-opening conversation.
It's clear that AI is already changing the game in a lot of ways.
But I feel like we've only just scratched the surface.
We definitely have.
There's so much more to explore.
Welcome back to our deep dive into the world of AI.
(07:16):
Last time, we saw how AI is giving businesses this boost.
Yeah, helping them make more money, understand their customers.
But let's get into the details a bit more.
Sure.
How's AI actually helping with the everyday challenges that businesses face?
Well, one area where AI is a total game changer is in operations.
(07:39):
Operations.
Yeah, you know, streamlining things.
Think of it this way.
Businesses always want to do more with less.
Right.
Be more efficient.
And AI is like having all these super efficient robots working for you.
Less wasted time, less wasted money.
Exactly.
But how does that actually look in real life?
Can you give me an example?
Sure.
Take supply chain management.
(08:00):
Supply chain?
Yeah.
It's a complex process.
Lots of moving parts.
Lots of people involved, right?
Exactly.
You've got suppliers, manufacturers, distributors, retailers.
People trying to get products from point A to point B.
Right.
And as smoothly as possible.
Sounds like a logistical nightmare.
It can be, especially in today's global world.
But AI is it's like bringing order to the chaos.
(08:21):
Imagine a system that can analyze all the data, real time data, from all the different
parts of the supply chain.
So it's like tracking everything.
It's tracking shipments, predicting demand, even finding those bottlenecks that slow things
down.
And what does that actually do?
Well, it means reduced costs, faster deliveries, happier customers.
So it's like having an AI traffic controller for your products.
(08:44):
You got it.
I never thought of AI being used that way.
And that's just one example.
It can be used to optimize all sorts of operations, manufacturing, healthcare, finance.
It's about finding those areas where things are complex, where there's tons of data.
OK.
So AI can handle all that data and make sense of it.
Exactly.
We'll sit gears for a second and talk about marketing.
(09:04):
OK.
You know, it's always changing and it's getting harder and harder to reach the right people.
It's a tough world out there for marketers.
How is AI helping with all of that?
Well, it's like giving marketers this secret weapon, you know?
OK.
What kind of weapon are we talking about here?
Think about it.
In the old days, marketers would have to rely on, I don't know, broad demographics.
(09:27):
Just guessing who to target.
Lots of guesswork, lots of wasted money.
So AI is taking the guesswork out of marketing too.
Exactly.
Wow.
Well, it gives marketers all this data about their customers.
We're talking about everything from website clicks to social media posts to their purchase
history.
All that data can be used to create a profile of a customer.
(09:48):
Right.
And predict their behavior.
So instead of just sending the same message to everyone, you can personalize it.
Exactly.
I mean, I know I'm more likely to pay attention to an ad that feels relevant to me.
That's the whole point.
AI-powered marketing isn't about bombarding people with irrelevant stuff.
It's about giving them what they want.
Exactly.
The right message at the right time and creating a better experience for everyone.
(10:10):
OK.
Speaking of experiences, let's talk about customer service.
OK.
It can make or break a business.
It really can.
We already touched on chatbots, but how else is AI changing customer service?
Well, think of AI as this customer service superhero.
Superhero.
It's like having a team of agents working 247 to solve problems and answer questions.
(10:31):
OK.
I like where this is going.
One of the coolest things AI can do is analyze customer sentiment.
Customer sentiment.
Yeah.
Basically, it means understanding how a customer is feeling.
So is the customer happy, frustrated, angry?
Exactly.
And how does AI do that?
It can listen to a phone call, read a chat transcript, even scan a social media post,
(10:52):
and then it can figure out how the customer is feeling.
So if a customer is getting frustrated, the AI can alert a human to step in.
Exactly.
Or offer a discount.
Or suggest a different way to solve the problem.
That's pretty amazing.
It's about creating a more responsive and empathetic customer service experience.
OK.
I'm seeing a pattern here.
What's that?
AI seems to be really good at taking these complex tasks and making them, well, more
(11:16):
human.
You got it.
And it's not just about improving existing processes, right?
No.
It's about creating entirely new products and services.
Give me an example.
Well, think about health care.
OK.
AI is being used to develop new drugs.
Wow.
Diagnose diseases earlier and more accurately.
Even personalized treatments.
(11:36):
So it's revolutionizing health care.
It is.
And it's happening in other industries, too.
Finance, education, transportation, entertainment.
OK.
I'm convinced AI is a game changer.
It is.
But let's be realistic for a second.
All this sounds incredibly complex and expensive.
Sure.
Is AI really accessible to everyone or is it just for the big tech companies?
(11:58):
That's a good question.
And it's a common misconception.
OK.
While it's true that some of the really advanced stuff requires a lot of resources, there are
also tons of AI tools that are affordable and easy to use.
Even a small business could use AI.
Absolutely.
There are platforms out there with pre-built models for all sorts of things.
Like marketing and customer service.
Yep.
(12:18):
Some of them offer free trials or affordable subscriptions.
So it's not just for the big guys?
Not at all.
In fact, I'd argue that small businesses have a real opportunity here.
Well, small businesses are often more agile.
They can adapt more quickly.
They don't have all that bureaucracy to deal with.
Exactly.
And because they often have closer relationships with their customers, they can use AI to personalize
(12:40):
their offerings.
Make those customers feel special.
Exactly.
OK.
So AI isn't just a buzzword.
It's a real tool that businesses can use.
Right.
But before we get too carried away, let's talk about the human element.
Yeah.
AI is a tool, but it's up to us to decide how to use it.
That's an important point.
We need to make sure we're using it to enhance our lives, not replace us.
(13:02):
I agree.
So how do we make sure AI is used ethically and responsibly?
Well, that's a conversation for another time.
OK, we'll save that for later.
But I will say this.
The future of AI isn't set in stone.
It's a future that we're creating right now.
And that's a pretty empowering thought.
It is.
We have the power to shape this technology and use it to make things better.
(13:22):
We do.
But we'll dive into that more in part three of our AI journey.
All right.
Welcome back to our AI deep dive.
We've covered so much ground.
Yeah, from AI making businesses more efficient to, you know, changing whole industries.
My brain is officially overflowing with AI insights.
Ha ha.
I hear you.
(13:43):
But before we call it a wrap, we got to talk about the future.
The future of AI.
Oh, that sounds exciting.
Flying cars, robot butlers.
Maybe someday.
Who knows?
But the near future, I think it's all about AI getting even smarter.
OK, smarter AI.
Got it.
But how does that actually affect us, you know, the humans?
(14:04):
Well, that's the big question, isn't it?
And there are there are a lot of different opinions out there.
Yeah, some people are super excited about the possibilities.
Others not so much.
Exactly.
It's it's kind of a double edged sword.
So what are some of the things people are worried about?
Well, one of the biggest concerns is is jobs.
Jobs disappearing.
Yeah.
As AI gets better at doing things that humans used to do.
(14:24):
I can see why people would be worried about that.
It's a valid concern, but it's not quite that simple.
You know, AI will definitely change the kinds of jobs we do.
But it'll also create new opportunities.
So it's not about jobs going away.
It's about jobs changing.
Right.
Think about the Industrial Revolution.
Machines replaced a lot of manual labor back then.
But new industries and new jobs were created, too.
(14:46):
Exactly.
So we need to adapt, learn new skills to keep up.
So what kind of skills should we be focusing on?
The skills that are uniquely human, the ones that AI can't really replicate.
Like creativity?
Yeah.
Critical thinking, problem solving, emotional intelligence.
So it's not humans versus machines.
(15:06):
It's more like humans and machines working together.
That's the ideal.
AI can handle the repetitive stuff, you know, the boring tasks.
And humans can focus on the more creative and strategic work.
Exactly.
OK.
That makes me feel a little better about this whole AI future.
Good.
There is a lot to be excited about.
But we can't ignore the potential risks either.
Like what?
(15:27):
What kind of risks are we talking about?
Well, one concern is algorithmic bias.
Algorithmic bias?
That sounds kind of scary.
What does that even mean?
So AI algorithms, they learn from data, right?
And if that data is biased in some way, the algorithm can become biased, too.
So like if an AI system is trained on data that mostly features men in leadership roles.
(15:47):
It might unfairly favor men over women when making decisions.
Oh, I see.
So it's kind of like garbage in, garbage out.
Exactly.
We got to be really careful about the data that's used to train these AI systems.
And it's not just bias.
There's also the whole issue of privacy.
Right.
As these systems gather more and more data about us, we got to make sure that information
is protected.
Yeah.
(16:08):
I don't want my AI assistant spilling all my secrets.
No, but seriously, privacy is a huge concern in the age of AI.
So what can we do to protect our privacy?
Well, we need strong data privacy laws, regulations that give people control over their own data.
So people can choose what data is collected and how it's used.
Exactly.
And we also need to think about the ethical implications of AI.
(16:30):
OK.
This is getting pretty deep, but I think it's important.
It is.
As AI gets more powerful, we have to ask ourselves some tough questions.
Like what are the limits of AI?
What should it never be used for?
Yeah, those are the big ones.
We need to develop ethical guidelines for AI rules of the road.
So it's not just about the technology itself.
It's about how we use it.
Exactly.
(16:51):
The future of AI.
It's not just about algorithms and code.
It's about values and choices.
I like that.
This has been an incredible conversation.
It's clear that AI is more than just a way to make businesses better.
It really is.
It has the potential to change the world, for better or worse.
That's true.
It's up to us to use it wisely and responsibly.
(17:11):
I couldn't agree more.
The future of AI is in our hands.
This has been an amazing journey.
Thank you so much for joining me on this AI deep dive.
My pleasure.
To everyone listening, thank you for tuning in to the deep dive.
Keep exploring.
Keep learning.
Until next time, keep asking those big questions.
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