Imagine navigating the AI landscape with the same confidence as you would the dot-com era. What key strategies can multifamily owners and operators learn from this parallel? Join us as we unpack this thought-provoking comparison, exploring the exponential growth of AI driven by breakthroughs in PC, internet, mobile, and cloud technologies. We dissect how companies are racing to become leaders and why focusing on narrow, industry-specific AI applications can unlock unparalleled value in this competitive field.
Ever wondered how AI can revolutionize your marketing efforts? Discover the power of custom AI agents that can transform a single idea into comprehensive content, from blog posts to social media updates. By acting as a multi-role assistant, AI not only streamlines your workflow but also democratizes expert-level assistance, enabling teams to channel their creativity and strategic thinking more effectively. This episode delves into the practical steps and real-world examples of how AI can enhance productivity and foster innovation in your marketing strategies.
Leadership in the age of AI isn't just about understanding technology; it's about integrating it to solve modern business challenges. We discuss the critical role of AI and automation in driving growth, emphasizing the need for custom solutions tailored to specific business needs.
Companies like nectarflow™ are at the forefront of guiding organizations through this transformative journey. Plus, don't miss the launch of our dynamic AI webinar series, designed to help businesses explore new possibilities and boost efficiency. Connect with automation experts and discover the unprecedented financial and operational benefits that AI can bring to your organization.
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Your feedback not only helps us improve but also helps others find us. And if today’s episode sparked a thought or provided a new insight, consider sharing it with a friend who might also benefit.
Together, we can grow our community and continue to learn and innovate. Thanks for listening, and until next time,
nectarflow™ - AI, Automations & Business Integrations
Interested in a FREE webinar on how to bring AI & Automations into your business? Join us live at our upcoming webinar https://events.multifamilyleadership.com/event-registration
Speaker 1: So today we have something cool.
00:00:02
So I was coming into the office listening to CNBC and I heard
00:00:11
some compelling discussions around AI and so, Lauren, you're
00:00:16
here to help me move through that.
00:00:18
So in our team meeting, we talked a little bit about how to
00:00:20
bring like, when you're inspired out in the world, you
00:00:24
hear something, how to use AI to help you create something from
00:00:28
it, and so in this case, we just used it to create an article,
00:00:34
and the reason for that is because we know that the ideal
00:00:38
client that we want to spend time with, that multifamily
00:00:40
owner and operator cares about probably things that are
00:00:43
happening on CNBC, so I would make the assumption that they
00:00:48
also heard the same interview I heard, and so all I'm doing is
00:00:53
entering the conversation that they're already having in their
00:00:55
mind and bring it back to multifamily.
00:00:58
And what came from that is understanding this hype around
00:01:02
AI.
00:01:02
And they brought on somebody that had sort of an opposing
00:01:07
view, which I think is really great and healthy.
00:01:10
Yeah, because I was like, oh, this is interesting, I want to
00:01:12
see what he says.
00:01:13
Yeah, and it was interesting when he was talking.
00:01:16
I immediately thought where is this going to go?
00:01:20
And then it realized I got a lot of validation.
00:01:23
I'm like, okay, we're doing the right things, we're modeling
00:01:26
this the right way, and I think that's something we can bring to
00:01:30
other multifamily owners and operators on how to move and
00:01:33
navigate through that.
00:01:33
So that was the purpose, and now we're hanging out and having
00:01:36
a podcast.
00:01:37
Speaker 2: Absolutely, and I didn't hear the same message
00:01:41
this morning.
00:01:42
So you came in all fired up and I was like, okay, well, fill us
00:01:45
in, Let us know what happened.
00:01:46
And you're like well yeah, let's actually just fill
00:01:49
everybody in and we'll write an article about it today.
00:01:51
So what do you mean when you say understanding the hype of AI
00:01:56
?
00:01:56
Speaker 1: So when I say hype, there's a lot of attention
00:01:59
around it because obviously this is the big shift we're all
00:02:02
going through, regardless if you think it's valuable or not,
00:02:05
it's happening Right and it's happening in greater exponential
00:02:10
shifts than the internet.
00:02:13
So, the internet.
00:02:13
We built a lot of our applications on the PC before
00:02:17
the internet was like PC and then we went to sort of, I guess
00:02:20
, internet and then we went to mobile and then we went to cloud
00:02:23
.
00:02:23
So AI is built on all of those things, so it's just
00:02:28
exponentially faster.
00:02:30
And with ChatGPT, really development and community things
00:02:33
started to raise.
00:02:36
So the conversation that I heard this morning was around the
00:02:39
parallels to hype and like what happened in even the dot-com era
00:02:44
, which was a lot of companies ramped up and there was a lot of
00:02:48
hype right and a lot of companies got hurt in that
00:02:51
process.
00:02:52
You know, they didn't have gps, they didn't have people, weren't
00:02:55
paying for credit cards online, there was a lot of trust issues
00:02:58
.
00:02:58
We didn't have cloud as much, and so there was good things
00:03:03
that came about, but maybe wrong timing and so a lot of people
00:03:08
got hurt, I think, in that process.
00:03:09
But there was some kind of parallels being drawn to a hype
00:03:15
there.
00:03:15
And so when I mention hype, I'm talking about like the Gartner
00:03:19
hype cycle, which really illustrates what happens in
00:03:23
these types of movements, and we're at the peak, probably, of
00:03:28
this in the hype cycle and probably even coming down and in
00:03:32
this trough of disillusionment, which is what it's called.
00:03:36
There's a lot of skepticism, there's a lot of is this going
00:03:40
to work?
00:03:40
You know, until things sort of normalize and become standard,
00:03:46
like cloud.
00:03:47
Most software today is cloud-based.
00:03:50
Speaker 2: Right, it's just second nature.
00:03:51
Speaker 1: There was a time when that went through that process.
00:03:53
Where's my data?
00:03:53
How's it going to be?
00:03:54
Speaker 2: used and all that kind of stuff.
00:03:55
Is it safe yeah?
00:03:57
Speaker 1: So that's what I mean by hype, right?
00:04:07
I think what I could best answer that question with is in his
00:04:11
response he was indicating you know, for so many years we had
00:04:13
Google dominating search right, and a big tech company is
00:04:18
dominating a lot of these movements, and so with AI, it
00:04:21
really sort of democratized this pursuit of having a chance to
00:04:25
be a category leader again.
00:04:27
And so you have open source, you have meta, you have Google open
00:04:31
AI, you have all these the NVIDIAs, the chips, the data
00:04:35
centers, all these things that billions and billions of dollars
00:04:40
are being funneled into this.
00:04:42
And that was where the hype was coming from.
00:04:43
It's like where are we going with this?
00:04:45
And his conversation was more about how those tech companies
00:04:53
are sort of out in pursuit of gathering all the world's
00:04:57
information and putting it into a model so they can have this
00:04:59
competitive model.
00:05:00
And this is where it got exciting for me, because then it
00:05:04
was like well, that's not the best way forward.
00:05:07
The best way forward is more narrow, more industry, more
00:05:10
custom, more unique company private data, unique AI as
00:05:14
specific to the problem and the business that they want to solve
00:05:17
for.
00:05:18
And then you said light bulb, I'm doing that Light bulb yeah,
00:05:22
and that's when I came running in and I went to my AI.
00:05:25
Yeah, and I prompted that.
00:05:27
I think I did it in the meeting you did what was that like for
00:05:31
you to go through, that like to see?
00:05:32
Like, first of all, I'm like, let me just say something.
00:05:34
I kept going and going yeah you're like oh my gosh yeah, and
00:05:38
so essentially you should we read the thing?
00:05:41
I mean yeah, I don't have access to it.
00:05:44
Speaker 2: Yeah, I mean.
00:05:44
So, essentially, what happened is you came in and you know, we
00:05:49
say this all the time.
00:05:49
We're like let's use our product, let's be the best users
00:05:52
of our product, right?
00:05:53
So then you went into the AI and you were basically like
00:05:56
here's my brain dump.
00:05:58
You were still fired up from hearing it, which is so great,
00:06:00
because I feel like this happens to people a lot, where they're
00:06:02
like I just heard something amazing, I want to get it on
00:06:05
paper, I want to write about it, I want to blog about it, and
00:06:07
then a few days go by and they're just not as.
00:06:09
It's not as fresh, they're not as amped, and it turns kind of
00:06:13
stale, right.
00:06:13
So you were, you prompted your AI and you just said here was my
00:06:25
takeaway from what I heard this morning Write me an article,
00:06:26
write me a post, write me this, write me that and it did.
00:06:27
It did it all live and it did it all fast and it was great and
00:06:28
it's something compelling.
00:06:29
And this is what's interesting is that I feel like a lot of
00:06:31
people are, say, blogging for the sake of blogging these days,
00:06:34
just to get something out, to generate SEO, to optimize their
00:06:39
SEO.
00:06:39
All of that.
00:06:40
What you did was a blog that someone actually would want to
00:06:44
read, which I feel like a lot of people using a certain you know
00:06:48
, gpt or whatever it is.
00:06:49
They're getting a blog and they're having to either revise
00:06:52
it or it might not be like a compelling article.
00:06:55
This was right.
00:06:57
We were like, wow, and you've even said it.
00:06:59
You were like I wouldn't erase a word.
00:07:01
This would have come out of my mouth and I think that's what
00:07:04
the future of ai looks like.
00:07:05
So how did it get there?
00:07:07
Speaker 1: I think that's what our audience will want to know
00:07:09
yeah, so I think we should put a link to that article, and we've
00:07:12
on, there's not been one.
00:07:14
Oh, the only word that we needed to change was a
00:07:17
capitalized nectar flow, because it was at the beginning of the
00:07:21
sentence, right, right, so, logically, the large language.
00:07:24
This would be how you would write.
00:07:25
You'd capitalize the first letter of a sentence.
00:07:27
Yeah, so we need to go back in and train it and say, hey,
00:07:29
listen, even in instances where Nectar Flow is the first word of
00:07:34
a sentence, it's our brand name and we want it to always appear
00:07:37
in low-level characters.
00:07:38
Yeah, do that, right, and so that will happen once.
00:07:41
Yeah, and so that will happen once.
00:07:44
Speaker 2: But that's the human element you always talk about.
00:07:45
You know AI still needs people.
00:07:47
It needs people.
00:07:48
It's not always perfect, but man is it close, it's getting
00:07:51
closer and closer.
00:07:52
Speaker 1: I think that you know in our model we believe, as you
00:07:57
know, people begin and end the process.
00:08:00
I was able to tune into content that I knew the people that we
00:08:06
serve to support care about and bring that back right, so it
00:08:10
made my ability to bring that back much more valuable right
00:08:14
right and much quicker, and to the point where I then also have
00:08:21
control to determine once it does its job.
00:08:25
That does it look, is it in the right voice, does it have the
00:08:28
right links, all that stuff.
00:08:29
So that's what I really liked about this process.
00:08:33
The other piece of it to your question is well, how did all
00:08:36
that happen?
00:08:36
So what we're doing is we're using large language models that
00:08:42
are very good at summarizing, very good at character creation
00:08:46
and generating images and text and things like that.
00:08:49
We're pairing it with what we know to be true about Nectar
00:08:53
Flow, what we know to be true about the customers that they
00:08:56
serve, what we know to be true about the persona that we want
00:08:59
to spend time with, and then, in this case, it sort of already
00:09:05
knows that it knows our company values, it knows those things,
00:09:07
it knows the website links, it has that information because
00:09:12
we've been able to provide it in an environment that is secure
00:09:16
and safe, right, and it's not exposing it to public data.
00:09:21
In addition to that and this is where the people part is I come
00:09:26
in with a unique prompt to direct it, which is what it's
00:09:31
almost as if I got to the office and went to my professional
00:09:35
writer, my professional SEO person, my professional graphic
00:09:38
designer, my professional copywriter that comes up with
00:09:42
titles and quotes and then gosh, I know I'm missing stuff in
00:09:47
here.
00:09:47
Social media.
00:09:48
Speaker 2: Oh yeah.
00:09:48
Speaker 1: And it knows how to write for LinkedIn and it knows
00:09:50
how to write for X and it knows how to write for Facebook and an
00:09:53
email marketer right that can put the link from the article
00:09:57
that it made in the email, so then you or the team can make
00:10:02
that more visible quicker.
00:10:04
Speaker 2: You trained it to pull a quote.
00:10:06
Speaker 1: It pulled a quote.
00:10:07
So, for example, in the workflow it first writes the
00:10:11
article and everything starts there, and then it wrote that
00:10:15
article from its base knowledge of, obviously, what Nectar Flow
00:10:19
knows to be true and what it serves and who it serves, and
00:10:22
then it used the directive that I gave it after I listened to
00:10:27
CNBC.
00:10:28
So there's no way it would have known that, because there's an
00:10:33
invisible AI right now and the invisible AI is not everybody
00:10:37
has spoken into a microphone or written things, which means
00:10:41
there's a lot of magic left to be discovered in the world,
00:10:44
because not everybody has created things.
00:10:47
That has been content Exactly.
00:10:52
So I listened to an interview this morning on CNBC on the
00:10:55
radio.
00:10:55
I took that prompted it and now it's now in an article.
00:10:59
So that article is going to serve real time today.
00:11:04
This was relevant today yeah so if I sent that email out, it
00:11:09
would ring true.
00:11:10
If somebody was like man, I was just this seems like really
00:11:13
relevant topic.
00:11:14
You're in my head like I've heard this before which is
00:11:18
what's valuable about ai today is it's the community leaders,
00:11:20
yeah, that know like everything is going to be this new thing.
00:11:22
It's the community leaders that know like everything is going
00:11:23
to be this new thing.
00:11:24
It's the power of bringing people together and untapping
00:11:27
that.
00:11:27
So every leader listening right now has that when they go to a
00:11:31
conference, there's something that they're listening to that
00:11:34
is relevant to their company, their goals, their investment
00:11:37
objectives and their people.
00:11:38
That's the magic Right.
00:11:41
What does Lauren's great experience right and applied in
00:11:45
context to this thing right?
00:11:47
So it writes the article.
00:11:48
Then there we create a title from the article.
00:11:51
So we have the title.
00:11:53
So we're like create a title from what it just wrote and then
00:11:55
we create a slug which is Really simple to be like
00:12:00
anything after the forward slash and the dot com or whatever,
00:12:04
and that's strategically that or structured that way so that
00:12:10
search engines draw higher relevancy in ranking that
00:12:15
article above others because of the keywords from the article
00:12:19
that also match the URL.
00:12:20
Speaker 2: Right.
00:12:21
Speaker 1: Right, right, and then we so we create a title,
00:12:24
create a slug, and then we have our AI then say hey, by the way,
00:12:29
look at this article that you created and tell me how long it
00:12:35
would take to read it.
00:12:35
So now we're outputting it's going to take five minutes.
00:12:38
So now we have structured data that we can then incorporate it
00:12:43
into the blog post that says it's going to take five minutes
00:12:46
to read this article.
00:12:46
We used our AI to determine that after it wrote it.
00:12:49
And then we come up with a quote because you asked me about
00:12:53
hey, I need a quote, and I was having lunch and I threw out a
00:12:57
quote to you and I'm like this would be interesting.
00:12:59
So now we're going to write it.
00:13:00
It's going to come up with a quote relative to a quote that
00:13:05
exists on the internet, that is site and sourced from a real
00:13:09
person and verified, and then tied back to being relevant
00:13:16
about what's happening in the article, right.
00:13:17
So now the social media team has something to post and
00:13:21
promote that ties into all this, and then we take it to our.
00:13:26
In this case, we're publishing to Webflow, so we're moving all
00:13:31
this into the draft mode, into the right pages, to where the
00:13:36
image is in there, all that, and then we get a status on the
00:13:40
front end that says, okay, here's the article, here's all
00:13:43
the stuff, but we're generating the social media right now.
00:13:46
Just stand by.
00:13:46
Speaker 2: Yeah.
00:13:47
Speaker 1: And then it goes to LinkedIn and it writes how we've
00:13:51
trained it, like how it needs to write in that format from the
00:13:55
copywriter Yep, it's got a hook , it's got all the things.
00:13:59
Instagram, yeah, facebook, all that Short form on Twitter, x.
00:14:03
Can I say X anymore I think it's still okay.
00:14:10
And then an email that has the link to the web that it created
00:14:14
with the slug that it created.
00:14:15
So now we can message and nurture our audience.
00:14:18
They can get them on social media.
00:14:19
And then it created these podcast notes and we are
00:14:26
following a podcast talking about the article we made.
00:14:31
So we not every customer would have a podcast, but we created a
00:14:34
podcast producer that said from this article right, it knows,
00:14:38
all this stuff creates some podcast show notes.
00:14:40
We gave it some examples.
00:14:41
Now we have a podcast segment.
00:14:43
Speaker 2: Yeah, and it tells you exactly how to structure it.
00:14:45
That would be a great listen, which is pretty crazy.
00:14:48
So I need to break this down again, just so, because you went
00:14:51
to MIT, you're highly methodical.
00:14:53
You understand the backend For a front end user.
00:14:56
What this actually means is you had one idea that was fresh on
00:15:01
your mind from something you heard period, which is what
00:15:03
everybody's like.
00:15:04
Fired up gets fired up.
00:15:05
They're like I have to make content around this, but it
00:15:08
takes them a whole week to produce every element that would
00:15:11
would feed the content right, what you're saying.
00:15:13
So, and I've even seen you go as far as to literally make a
00:15:17
slack to yourself.
00:15:18
That ties into this AI where you could say heard a great
00:15:20
thing today, here's what it was and then it writes all this
00:15:23
content for you around that one thought.
00:15:25
It's like having one of those little pocket memos and just
00:15:29
saying an idea, and then, all of a sudden, you've got a blog,
00:15:31
you've got social posts, you've got a podcast episode.
00:15:36
You have every piece of content you could possibly think of to
00:15:39
make because you had one thought and one idea, which is just
00:15:43
wild.
00:15:44
Speaker 1: Yes, and you know what's actually happening.
00:15:47
There is custom experts or agents.
00:15:50
So historically, top level leaders and CEOs limited time,
00:16:00
but they knew that the more they were present with their team
00:16:01
they could lead, create greater impact for their company and be
00:16:04
more strategic in relationships, all that stuff.
00:16:06
And so you know, for 30, 40 years, 50 years, 100 years I
00:16:10
don't know how long we've recognized that there's value in
00:16:12
having, like an admin assistant or an executive assistant or
00:16:17
somebody handling the things that someone else can handle.
00:16:20
Yeah, the things that someone else can handle.
00:16:22
Speaker 2: Yeah.
00:16:25
Speaker 1: So now, what I just demonstrated to you is that,
00:16:27
without paying 12 people, I was able to create an agent for
00:16:33
copywriting, create an agent for social media marketing, create
00:16:37
an agent for graphic design, create an agent for article
00:16:40
writing right yeah, and what that means to the people that
00:16:44
are listening and they're employed, is that they now can
00:16:49
have access to a team of people that can help them do their job
00:16:55
better, so they can lean into those moments, like I leaned
00:16:58
into listening to the article or the radio interview, like I
00:17:02
leaned into listening to the article or the radio interview.
00:17:07
So that's what I don't think people have realized.
00:17:08
That can be unleashed is these custom agents specifically for
00:17:11
the roles and the tasks that need to get done.
00:17:14
And CEOs today have to be just excited because now imagine
00:17:21
going into your employees and being able to equip them all
00:17:24
with someone to help them yeah move this quick well, and that's
00:17:27
exactly right.
00:17:28
Speaker 2: And and here's you know someone might hear what you
00:17:31
just said and be like, okay, so you, you basically have a now
00:17:35
have a copywriter, a social media expert, etc.
00:17:36
Etc.
00:17:37
But the truth is I'm a marketer .
00:17:39
You know I should be the first one, you know, shaking in my
00:17:42
boots right now because I've seen how all of this can be
00:17:45
automated.
00:17:46
But if I'm being completely honest, I've lived all those
00:17:49
roles social media like.
00:17:50
There are a lot of.
00:17:52
Those tasks are incredibly tedious and I wouldn't say are
00:17:56
ones that most people even enjoy doing.
00:17:58
Like you know, I don't think a lot of blog writers are waking,
00:18:01
unless unless that is your profession and it's a fashion
00:18:03
blog.
00:18:03
I think there's a lot of respect there.
00:18:05
But if it's something where write me a blog daily to
00:18:07
increase my SEO so that I'm the first thing that comes up on
00:18:09
Google, no one's going to be excited about that blog, right?
00:18:12
They're just going to do it.
00:18:14
And especially when we talk about the world of multifamily,
00:18:17
there are so many hats that people have to wear already.
00:18:20
So what you really should be doing when you're thinking about
00:18:22
AI is if I had my own assistant to do the mundane tasks that I
00:18:27
can't stand in my job.
00:18:28
Here's what I would outsource, and that's like a great place to
00:18:35
start, and that really is where it is starting is those low
00:18:36
hanging fruit elements scanning documents and compiling them
00:18:39
into a spreadsheet and pulling certain bits out of them.
00:18:42
Those types of tasks will and should be automated, and the AI
00:18:47
I mean, think about due diligence.
00:18:50
Speaker 1: Imagine being able to drop a lease file into a folder
00:18:54
and have our agent specifically train it on what that company
00:18:58
wants to pull out, if it's lease terms, lease expiration dates,
00:19:01
security, deposit data on rent price or market lease, all that
00:19:07
stuff.
00:19:07
And so there's just numerous applications and I think that's
00:19:14
really where the custom stuff is .
00:19:16
The custom agent is like, well, what's really unique to you and
00:19:21
how does that work?
00:19:23
Unique to you, and and and you know how does that work?
00:19:26
Yeah, um, so, uh, you know, looking at my notes here I'm I
00:19:28
just I already talked about the, the um, the solutions tailored
00:19:33
for unique business, and that.
00:19:34
That's kind of the workflow that played out.
00:19:36
You mentioned writing a blog.
00:19:39
The reality is, the person with the idea wasn't maybe the
00:19:44
person writing the blog, or if it's outsourced, because
00:19:46
employee turnover is such that they're not doing that because
00:19:49
it's hard work, not consistent, shifting in their
00:19:52
responsibilities.
00:19:53
But now you give people, like you mentioned, the Slack message
00:19:56
or a simple way to be able to direct something in such a way
00:20:01
that it's inspired by the people doing the work, instead of an
00:20:04
outsourced consultant looking to post recipes or generic vanilla
00:20:09
stuff that isn't readable, or it is readable, but it's like it
00:20:13
got it done.
00:20:13
But like does someone really want to engage with this?
00:20:16
Speaker 2: Yeah, it's written the way I would want it to be
00:20:18
written.
00:20:18
Yeah absolutely yeah, and it did like you said, that what
00:20:21
it's what it came up with and handed to you, was almost
00:20:25
verbatim in your voice, which was pretty amazing.
00:20:28
Like if you had written that yourself, it would have been
00:20:30
pretty darn close to exactly what.
00:20:33
Speaker 1: I hate writing.
00:20:34
I'd rather talk and say can you transcribe that?
00:20:37
But um, I don't ever have to worry about where the commas are
00:20:45
and all that stuff, absolutely.
00:20:47
Speaker 2: But I think about the power that this gives a content
00:20:50
creator.
00:20:51
Really, if you think about someone who is scared right now,
00:20:54
who's, like I said, a marketer like me, I look at this and I
00:20:58
say the ability to wake up, have a brilliant thought in my head
00:21:02
and just prompt something to create all of that content for
00:21:06
me, so that all I have to be doing is coming up with the
00:21:10
brilliant ideas and then reviewing everything that it
00:21:13
gives me.
00:21:13
I mean, I think that's a huge win really for efficiency, for
00:21:17
so many purposes, you know.
00:21:19
Speaker 1: Yeah, one of the greatest copywriters on the
00:21:22
planet used to, you know, write copy for compelling brands, but
00:21:31
one of the things he would do is he would ride buses and spend
00:21:35
time where people were.
00:21:37
So, you know, you've got like the New York Madison Avenue ad
00:21:42
agencies and all the ads that we've seen historically over
00:21:46
time.
00:21:47
And but what?
00:21:49
The reason why he was one of the top writers, I guess, to
00:21:56
move brands forward, was because he understood the hearts, the
00:22:00
pains, the desires of the people that were reading and consuming
00:22:04
these things.
00:22:05
Speaker 2: Yeah.
00:22:05
Speaker 1: And the only way to do that is getting close as you
00:22:08
can to the customer.
00:22:09
Yeah, Right so because I'm chairing the innovation count
00:22:10
multi-fam innovation council, I mean and the only way to do that
00:22:11
is getting close as you can to the customer Right.
00:22:13
So because I'm chairing the Multifamily Innovation Council,
00:22:14
I mean, clearly I'm hearing this every week.
00:22:16
I'm hearing things like priorities and challenges, all
00:22:19
that stuff, and so when I'm tuning into a CNBC article or
00:22:24
podcast or news segment, I'm really close.
00:22:28
I have my ear close to what our audience wants to have solved
00:22:35
and wants to do, and so if I can just take something from that
00:22:39
and inspire AI, it can't get that in any other place and
00:22:43
that's where people make the difference.
00:22:46
Speaker 2: Absolutely.
00:22:47
Speaker 1: So I would not 1000%.
00:22:52
Things are going to change 1000% and you heard and we won't talk
00:22:56
about it right now, but you heard our plan to unlock and
00:22:59
make a lot of people do really well in this industry and beyond
00:23:04
, I think, those that get out in front of it and look at AI as
00:23:12
like language or you know an operating principle that if you
00:23:20
want to be a great, valuable employee, if you can walk into
00:23:24
an organization and provide it faster, better responses, better
00:23:28
work, supreme intelligence and you have this sort of team
00:23:32
behind you, then you're going to be able to do your job better
00:23:36
and you're less distracted and fearful of like what's going to
00:23:39
happen and how's this going to shake down, and you're not in
00:23:41
reaction mode, you're like you're in tackle mode, you're in
00:23:44
attack mode and that company would benefit from that activity
00:23:52
.
00:23:52
So to me, I believe people will still want to be around other
00:23:58
people.
00:23:58
It's the companies and the people that bring people
00:24:02
together and do more interesting things and unlock the true sort
00:24:07
of self of what people are.
00:24:08
You know, like you've said a couple times, you're a marketer
00:24:11
and stuff, and I think over the next year and a half we're going
00:24:16
to figure out who we think we are.
00:24:18
Yeah, I might be more than that .
00:24:20
Speaker 2: Well, I've never really been an entrepreneur.
00:24:22
Until I've watched you, I'm like maybe I am interested in
00:24:26
investing, Maybe I am interested in being an entrepreneur myself
00:24:29
.
00:24:29
I've never even thought of that as an option for myself and I
00:24:32
would say most people probably haven't, you know a lot of the
00:24:36
things that we do with AI, and even just first principles
00:24:40
thinking can be simplified.
00:24:42
Speaker 1: You know, um, but at the end, of the day, uh, that
00:24:48
your role isn't going to change, then you're going to be
00:24:51
blindsided.
00:24:52
I think, yeah, anymore.
00:25:36
And I did some research around all the companies like McKinsey
00:25:37
and IBM and Accenture and these companies that are going to
00:25:39
market, and when I did this research, I think I made a video
00:25:41
and I showed you in our Slack channel.
00:25:44
I could never hire anybody that could get that kind of
00:25:49
information, that fast, research it, source it, summarize it for
00:25:53
me and tee it up like that.
00:25:55
There's just not a human in the world that I would ever.
00:26:00
Or I just say, well, I'm going to talk to Sarah, Sarah's in
00:26:04
marketing and I ask Sarah, hey, Sarah, what is this and that?
00:26:08
And then so then it's like Google or maybe they use AI.
00:26:11
You know what I mean.
00:26:12
So I think that when we can put aside this idea that our
00:26:19
knowledge is the power and that it's now a game changer, it's
00:26:24
because everybody's got the knowledge.
00:26:25
So now it's like who am I as a leader and what can I get done
00:26:30
that drives more revenue for the company or creates that great
00:26:34
experience for that customer?
00:26:35
Like it's the, it's the action takers that are going to win.
00:26:39
Yeah, I think.
00:26:40
Speaker 2: And you said something really smart earlier
00:26:42
and I wrote it down and I'm gonna botch it now.
00:26:44
But you said something along the lines of the future is
00:26:49
people who are doing something, essentially measuring it and
00:26:53
then coming up with the right outcomes or the right route from
00:26:57
there.
00:26:57
And so I think thinking of it that way, where you know that
00:27:04
that is the future.
00:27:05
If somebody can literally run tests now against, if you're
00:27:09
making content daily like this, that comes from a great idea.
00:27:11
My job now is to say, well, did that perform?
00:27:15
Is live streaming to Instagram doing anything?
00:27:17
Is you know?
00:27:18
That's now me, that's my role now what's working, what's not,
00:27:23
what's hitting, what's not?
00:27:24
And you are able to test and run and, like you said,
00:27:28
everybody's saying this right now, Don't be afraid to fail,
00:27:30
Fall.
00:27:30
You know.
00:27:30
And run and, like you said, everybody's saying this right
00:27:31
now, don't be afraid to fail, fall you know, fall flat on your
00:27:33
face and see what happens, and because we have the power to do
00:27:35
that.
00:27:35
This isn't like our one piece of content a week that we've
00:27:43
worked enslaved over anymore.
00:27:43
This is like throw it out the wall and see what sticks, and
00:27:45
that is what everybody who is successful is doing.
00:27:47
Speaker 1: Yeah, and I don't know how long we've been on the
00:27:49
podcast, but I walked into your office, I'm like you want to go
00:27:51
on a podcast and I'm like I don't know.
00:27:54
And so that's, this is a result of that, right and and um, you
00:27:58
know you mentioned the thing that I said about where do
00:28:03
people fit into the process, and that was the.
00:28:06
You know, that's where the you set the vision, you set the
00:28:09
strategies right, we set the goals, we measure the goals and
00:28:16
you lead with people through this process.
00:28:17
And leadership is so powerful today because everybody's
00:28:21
feeling a little anxious about this stuff.
00:28:22
So if you can be that leader that understands these things
00:28:25
and you can confidently communicate like it's going to
00:28:28
be okay, let's go, come with me, like let's do this, and it
00:28:35
creates a scenario where people have more, they feel more
00:28:38
control over their outcomes versus like what's going to
00:28:41
happen, right, they're just kind of waiting for the reaction
00:28:43
mode where at that Stanford research where we talked about
00:28:53
the org chart being really the most fundamental revolutionary
00:28:57
technology over the last 200 years, and that's because people
00:29:01
in organizations can only take on so much capacity.
00:29:07
I mean, if you're in a meeting from one to two, you're in that
00:29:12
meeting.
00:29:12
You can't be in another meeting from one to two.
00:29:14
Yeah yeah, so we have to have, in greater scales, more people
00:29:19
to do those.
00:29:20
And you just think about that org chart With AI.
00:29:22
It demolishes that whole organizational structure in that
00:29:27
way because it can cross those sort of buckets of people right
00:29:32
and that's where.
00:29:34
But what it can't do, uh, or it shouldn't do, which is measure?
00:29:38
I mean, it can, it can create information and stats and data
00:29:42
and stuff like that, but it's going to be for the person, the
00:29:46
human being, to go like is this impacting?
00:29:47
Impacting the business?
00:29:48
Yeah, you know?
00:29:49
Yeah, which is?
00:29:51
I think it's an exciting time.
00:29:57
Speaker 2: I think it's exciting too, because I really think
00:29:59
about how many people I know and when I ask them you know, are
00:30:00
you incredibly happy in your day-to-day tasks and what you're
00:30:03
doing, and or are you feeling challenged?
00:30:05
Are you feeling like you're able to take ownership of any
00:30:09
decision that's being made in your job?
00:30:11
And really, I think this change is going to force that to
00:30:15
happen.
00:30:15
It's going to force people to automate the tasks that are
00:30:18
holding them back, that are becoming redundant and not
00:30:20
growing them as individuals or as experts in their field, and I
00:30:25
think that what it's going to do is it's going to allow space
00:30:29
for people to have to discover who they are and what their
00:30:32
specialties are and, like you said, I might not be a marketer,
00:30:35
it's just what I've known, and maybe when some of that is
00:30:38
automated, I step back and I say , wow, I want to start dabbling
00:30:42
in this, I want to start dabbling in that, and so I think
00:30:44
it's actually a cool, unique time where people can explore
00:30:48
different elements of what they do and what they love and, yeah,
00:30:51
you know, I completely agree with you and, as you mentioned
00:30:55
that I I wrote down the word variance because one of my
00:31:00
biggest challenges is I'm curious about these things.
00:31:04
Speaker 1: I'm also building things.
00:31:05
I have software engineers, developers, on payroll.
00:31:08
I'm talking to smart people about this stuff.
00:31:10
I'm also in the room with some of the brightest minds in AI in
00:31:14
the world and I want to bring that back to our innovation
00:31:18
council so then we can make that more valuable.
00:31:21
That's the pursuit of that.
00:31:22
But in doing so, I just have this excitement over what's
00:31:28
possible, because the challenges that are before us can be
00:31:31
solved with technology.
00:31:32
Right, and the exciting part for the people is it's not enough
00:31:37
to have the technology or the, the, the system, because, uh and
00:31:41
and this is dr west westerman, he mentioned this uh in our uh
00:31:46
at mit which is companies are technology moves fast because
00:31:51
technology can be programmed.
00:31:52
Companies move slowly because people are involved, right, so
00:31:56
you got fears, you got process, you got delays, you got stories,
00:32:00
all that stuff.
00:32:02
That's where the opportunity is in the leadership piece.
00:32:05
But I make the assumption that everybody else has also been on
00:32:09
that journey and done that work.
00:32:10
So where somebody is today, as I get excited and I talk about
00:32:14
oh, this is all possible.
00:32:15
They don't have access to NectarFlowcom yet, right.
00:32:21
They don't have access to their own custom agent, they haven't
00:32:23
built it, so they don't understand what's actually
00:32:24
happening behind the curtains and so they don't have the
00:32:27
context to even know that, oh, I could solve this problem with
00:32:30
AI.
00:32:31
That's not a problem today, because the way that we've
00:32:34
structured this is we and this was the McKinsey and the IBM and
00:32:40
the Accenture and these KPMGs, all these big consulting
00:32:43
companies is you're not going to want to spend $20 million or $2
00:32:46
million a year with a consultant to then tell you
00:32:48
about how to spend money with certain consultants.
00:32:50
So we at nectar flow can be that outside innovation arm that
00:32:54
can say, hey, here's where you are, that's where you start,
00:32:57
yeah, you begin here and it's unique to you and what you want
00:33:02
to accomplish for your reasons, not ours, yeah, and and move
00:33:07
them through a learning environment and an experience
00:33:11
environment and supporting them with technology, software
00:33:14
developers, business orchestrators, those that have
00:33:17
gone before them that understand like, oh, this problem can be
00:33:20
solved this way, right, have you thought about this?
00:33:23
That, I think, is where the opportunity is and that can be
00:33:28
unleashed within a company too, absolutely, so there could be a
00:33:31
leader in a company going.
00:33:33
I want to be that for my company.
00:33:35
Speaker 2: Yeah, right, and there are, I'm sure, there are.
00:33:36
There are I mean there have to be.
00:33:38
Speaker 1: Right, and so we hope to bring a lot of those things
00:33:41
together for those individuals to work on a platform, work
00:33:44
faster, but also have this depth of team and range of services
00:33:49
and opportunities to to do the things that that matter
00:33:55
financially for an organization, cause it's and it's not enough
00:33:58
to just be like, oh, this is cute and we want to do this.
00:34:00
It's like, look, there are people there are companies going
00:34:02
out of business right now.
00:34:03
Right, there are, there are people losing jobs because they
00:34:07
haven't taken certain things seriously.
00:34:08
And now it's like this is your wake-up call to say this is an
00:34:12
opportunity where you can be a different leader and, guess what
00:34:16
, everybody's at the same level playing field right now.
00:34:18
It's not like, oh, I got 20 years in finance.
00:34:22
Speaker 2: Right.
00:34:22
Speaker 1: And they've done the like you are at a massive
00:34:26
opportunity.
00:34:27
I don't care if you're a leasing agent or a general
00:34:29
manager or CEO.
00:34:31
Like it's a real opportunity.
00:34:34
Speaker 2: Yeah, everyone's exploring it and I mean we
00:34:37
probably need to wrap it up here .
00:34:38
But what is interesting too, that I learned coming in knowing
00:34:43
virtually nothing outside of what the general public probably
00:34:46
did about AI, is that it's not only AI.
00:34:49
It's AI plus automations, plus, you know, and it's almost like
00:34:53
each element was missing the other.
00:34:55
So we had a lot of automation tools out there.
00:34:58
We had a lot of automations built that were doing good work,
00:35:01
but that AI element into the automation plus an integration,
00:35:06
it's like there's the magic right.
00:35:08
So I think that's the piece that people need to understand
00:35:13
is that it's a combination of a lot of things.
00:35:15
Some of it already exists.
00:35:17
There's a lot of automation already happening, but adding
00:35:20
that AI element into that and then adding integration into
00:35:23
that, that's where the magic really happens.
00:35:26
Speaker 1: Yeah, I mean, I'll just, that's a bow tie.
00:35:28
I mean that's a great thing, because you can do each one of
00:35:33
these things and one may bring more value than the other.
00:35:35
But when you put them, all want me to play over there and I'm
00:35:39
on iCloud and Apple and they want me to play there it's like
00:35:54
you can be anywhere you want to be.
00:35:57
Speaker 2: As long as you know how to connect it all Exactly,
00:36:01
yeah.
00:36:02
Speaker 1: Cool.
00:36:03
Speaker 2: Well, this was a great conversation, yeah.
00:36:05
Speaker 1: Well, thanks for doing it and, yeah, we'll follow
00:36:08
some more about what's next.
00:36:10
We do have a webinar series coming up, oh yeah, so let's,
00:36:15
we'll put a link in the description on how to access
00:36:18
that.
00:36:18
But what we intend to do is have an opportunity to let
00:36:22
people sort of learn in public, explore some of these
00:36:25
possibilities, and every week will be different.
00:36:28
Right now we're we're going to do it every Wednesday, but they
00:36:32
can register for the upcoming one and then we'll probably from
00:36:36
that, develop what we talk about in the next one and really
00:36:40
, at scale, get in front of some people to help support them you
00:36:44
know, answering questions, that type of stuff.
00:36:46
And then, of course, if people want to do a demo or get
00:36:49
involved, they want to bring thoughtful, strategic AI
00:36:53
affordably into their business.
00:36:54
I would say just nectarflowcom, book a demo.
00:36:58
I think there's a way.
00:36:59
There's a button like talk to an automation expert or click on
00:37:03
that, and then you can spend time with us, and we'd love to
00:37:08
work with companies that are trying to make their business
00:37:10
better.
00:37:11
Speaker 2: Sounds great.
00:37:12
I love it.
00:37:13
Speaker 1: All right, for that we are out.
00:37:15
That was an episode inspired by AI and executed by us, so we'll
00:37:22
see you in the next one.
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