AI: Real-World AI Case Studies for Leaders (Part 5)

In this episode of Leadership Sovereignty, Ralph Owens and Terry discuss the transformative impact of GEN.AI across various industries, including marketing, HR, and finance. They explore real-world applications, emphasizing the efficiency and productivity gains from using GEN.AI. The conversation also delves into advanced prompt engineering techniques that can enhance leadership skills and project management, highlighting the competitive advantages for those who effectively leverage these tools in their careers.
Key Takeaways
- GEN.AI is revolutionizing how we approach marketing and content creation.
- Using GEN.AI can significantly reduce the time spent on tasks like drafting job descriptions.
- In HR, GEN.AI can streamline the hiring process by screening resumes and generating interview questions.
- Financial analysts can utilize GEN.AI to quickly summarize data and identify trends.
- Prompt engineering is crucial for maximizing the benefits of GEN.AI.
- Practicing interviews with GEN.AI can prepare candidates effectively.
- Leaders can simulate difficult conversations using GEN.AI for better emotional intelligence.
- Breaking down projects into actionable steps with GEN.AI enhances productivity.
- Only 20% of GEN.AI users leverage prompt engineering effectively.
- Understanding how to use GEN.AI gives a competitive edge in the workplace.
⏱️ Chapters
00:00 – How Leaders Use GenAI for Tough Conversations
01:00 – Why We Added Bonus Episodes to the AI Series
01:24 – GenAI in Marketing: Personalized Ads & Data Insights
03:39 – GenAI in HR: Smarter Resume Screening & Job Descriptions
04:36 – GenAI in Finance: Instant Summaries & Trend Analysis
06:13 – Turn Spreadsheets into Business Insights with AI
06:55 – Listener Shoutouts & How to Get Featured
07:53 – Advanced Prompt Engineering for Leaders
09:35 – GenAI for Interview Prep & Client Presentations
12:06 – Break Down Big Projects with AI Prompts
📥 Download our free AI Toolkit to level up your career with GenAI → Click HERE
🎓 Learn Generative AI (No Tech Skills Needed)
1. Generative AI for Everyone – DeepLearning.AI (Andrew Ng)
👉 https://www.deeplearning.ai/courses/generative-ai-for-everyone
2. Google Learn AI Skills – Free Beginner-Friendly AI Courses
👉 https://ai.google/learn-ai-skills
3. Introduction to Generative AI for Non-Tech Professionals – Udemy
👉 https://www.udemy.com/course/introduction-to-generative-ai-for-non-tech-professionals
4. Anthropic’s Free AI Fluency Course
👉 https://www.lifewire.com/anthropic-free-ai-fluency-course-11757129
5. Microsoft AI Fundamentals Course
👉 https://developer.microsoft.com/en-us/reactor/series/s-1494/
00:00:00,040 --> 00:00:04,000
One example is using a prompt to
simulate a leadership scenario,
2
00:00:04,360 --> 00:00:06,920
like preparing for a difficult
conversation with a team member.
3
00:00:07,360 --> 00:00:11,400
This is a fantastic, fantastic,
fantastic example because in
4
00:00:11,400 --> 00:00:14,440
today's world, we as leaders,
we, we have to show emotional
5
00:00:14,440 --> 00:00:17,320
intelligence when we're dealing
with our staff and dealing with
6
00:00:17,320 --> 00:00:20,520
other people.
Being able to put a scenario
7
00:00:20,520 --> 00:00:25,480
into ChatGPT or whatever
generative AI tool that you use
8
00:00:25,800 --> 00:00:31,360
and ask for some options on how
to actually respond to this can
9
00:00:31,360 --> 00:00:52,800
be worth its weight in gold.
All right, welcome to another
10
00:00:53,040 --> 00:00:54,640
episode of Leadership
sovereignty.
11
00:00:54,960 --> 00:00:59,440
Things are we got so much great
quality feedback on the AI
12
00:00:59,440 --> 00:01:02,280
series.
We decided to come back and do a
13
00:01:02,480 --> 00:01:04,480
a bonus a set of bonus episodes
for you.
14
00:01:04,480 --> 00:01:09,040
So, thoughts, Terry?
You know, man, it's, it's
15
00:01:09,040 --> 00:01:13,640
changing lives and just like
this information is, is
16
00:01:14,560 --> 00:01:17,680
impacting folks, G and AI is
doing the same thing, man.
17
00:01:17,680 --> 00:01:22,080
So there's a lot to share, and
I'm excited about this, about
18
00:01:22,080 --> 00:01:25,080
this episode.
Absolutely, absolutely.
19
00:01:25,080 --> 00:01:27,720
All right, so let's just jump in
because this will be picking up
20
00:01:27,720 --> 00:01:30,760
right where we left off.
Let's talk a little bit about
21
00:01:31,040 --> 00:01:35,160
real world studies of our case
studies for Gen.
22
00:01:35,200 --> 00:01:39,640
AI in your career.
So here are some examples of
23
00:01:39,920 --> 00:01:43,480
those who can use Gen.
AI today in their career, people
24
00:01:43,480 --> 00:01:46,000
who are marketing, right?
So for instance, a digital
25
00:01:46,000 --> 00:01:49,440
marker who uses Gen.
AI to quickly draft a
26
00:01:49,680 --> 00:01:54,760
personalized ad copy and analyze
campaign data, right?
27
00:01:55,040 --> 00:01:57,000
You know, the ability to use
Gen.
28
00:01:57,000 --> 00:02:02,160
AI to personalize an ad towards
your customers, specifically by
29
00:02:02,160 --> 00:02:06,240
giving it the proper framework
and in the proper prompt, being
30
00:02:06,240 --> 00:02:10,680
able to give Gen.
AIA massive amount of data so
31
00:02:10,680 --> 00:02:14,520
that they can analyze and and
give you insights, right saving,
32
00:02:14,520 --> 00:02:16,760
you know, saving tons of time.
Anything.
33
00:02:16,760 --> 00:02:18,320
Any thoughts that Terry?
Yeah.
34
00:02:18,320 --> 00:02:21,320
So here's the thing, right?
We are in in a sense, right?
35
00:02:21,320 --> 00:02:24,320
We're content creators, right?
We're marketers, right?
36
00:02:24,360 --> 00:02:28,800
And you know, just speaking from
a personal standpoint, being
37
00:02:28,800 --> 00:02:33,720
able to even take an existing
photo, right?
38
00:02:33,720 --> 00:02:40,880
Or taking a an existing piece of
content and asking it to craft
39
00:02:40,880 --> 00:02:44,840
it to your need, right?
It may have an image that maybe
40
00:02:44,840 --> 00:02:51,040
has, you know, let's say floral
and you want it to look more
41
00:02:51,040 --> 00:02:54,240
industrial in terms of the
background setting, right?
42
00:02:54,240 --> 00:02:55,840
You can put that content in
there.
43
00:02:56,840 --> 00:03:00,160
As a matter of fact, I I engage
with, you know, some content
44
00:03:00,160 --> 00:03:04,520
creators, you know, even with
lift life technology, right, and
45
00:03:04,520 --> 00:03:07,400
you know, we have social media
campaigns going on, e-mail
46
00:03:07,400 --> 00:03:14,480
marketing campaigns going on and
to see how those experts,
47
00:03:15,560 --> 00:03:20,280
they're not, they're not fearful
of gin AI.
48
00:03:20,520 --> 00:03:23,200
They're actually embracing it,
right?
49
00:03:23,240 --> 00:03:27,760
And seeing how they are
measuring it against what they
50
00:03:27,760 --> 00:03:31,160
were doing before, right?
To to our earlier point, right,
51
00:03:31,160 --> 00:03:34,760
it is engaging.
It is allowing them to have a
52
00:03:34,760 --> 00:03:38,560
more verbose voice in their
level of creativity.
53
00:03:40,320 --> 00:03:41,520
It's good.
That's good.
54
00:03:41,520 --> 00:03:46,080
That's those are great examples.
Another example is in HR, right?
55
00:03:46,720 --> 00:03:51,400
A person who in HR uses Gen.
AI to screen resumes or to draft
56
00:03:51,640 --> 00:03:55,040
initial interview questions, you
know, to speed up the hiring
57
00:03:55,040 --> 00:03:58,280
process.
I, I know that I've even used it
58
00:03:58,280 --> 00:04:03,560
in in my past to create job
descriptions, right?
59
00:04:03,560 --> 00:04:06,040
Remember trying to write job
descriptions from scratch?
60
00:04:06,520 --> 00:04:08,400
That's.
Oh man, that was painful.
61
00:04:08,720 --> 00:04:11,760
It was.
That was painful, yes.
62
00:04:12,040 --> 00:04:14,000
It was, it was, it was that was
painful.
63
00:04:14,960 --> 00:04:16,880
Yeah.
That the these processes are so
64
00:04:16,880 --> 00:04:19,720
much easier now.
Not saying that it does the job
65
00:04:19,720 --> 00:04:23,440
100%, but it'll definitely get
you 80 to 90% of the way there.
66
00:04:23,680 --> 00:04:25,520
And then you can customize it
the rest of the way for
67
00:04:25,520 --> 00:04:28,400
yourself.
Again, efficiency, productivity,
68
00:04:28,400 --> 00:04:30,440
right?
Saving you tons and tons of
69
00:04:30,440 --> 00:04:33,000
time.
And and then what about a
70
00:04:33,000 --> 00:04:35,440
financial analyst, you know,
somebody who uses Gen.
71
00:04:35,480 --> 00:04:39,120
AI, you know, to generate quick
financial summaries and identify
72
00:04:39,120 --> 00:04:44,120
trends and large data sets.
Again, you cannot process faster
73
00:04:44,120 --> 00:04:47,640
than this can, right?
No, for for sure.
74
00:04:47,680 --> 00:04:49,400
No.
So, So what I love about that,
75
00:04:49,400 --> 00:04:51,280
right?
So being in this entrepreneurial
76
00:04:51,280 --> 00:04:56,240
space, right, you really get to
engage with, you know, others
77
00:04:56,240 --> 00:04:59,600
who are on the journey, right?
And so, you know, I have a set
78
00:04:59,600 --> 00:05:03,360
of friends who are mentors.
I have a set of friends who, you
79
00:05:03,360 --> 00:05:07,240
know, were at that initial
growth launch stage.
80
00:05:07,480 --> 00:05:11,640
And to see how each of those
different persons are leveraging
81
00:05:11,640 --> 00:05:14,920
Gin AI.
I was speaking with, you know,
82
00:05:14,920 --> 00:05:17,880
really I was speaking with a
cohort yesterday and you know,
83
00:05:17,880 --> 00:05:21,400
we're talking about cash flow
and we're talking about, you
84
00:05:21,400 --> 00:05:24,320
know, the operations.
And so of course, right, I start
85
00:05:24,320 --> 00:05:28,240
going back to our numbers
conversation, right?
86
00:05:28,440 --> 00:05:32,840
And I'm like, look, you know, we
understand what the day-to-day
87
00:05:33,120 --> 00:05:37,400
looks like because a lot of
times entrepreneurs are looking
88
00:05:37,400 --> 00:05:42,320
at at the at the micro level.
So, but I start encouraging my
89
00:05:42,320 --> 00:05:45,120
cohort, hey, if you start
looking a little bit at the
90
00:05:45,120 --> 00:05:48,520
macro, right, you can look at
your numbers from a quarterly
91
00:05:48,520 --> 00:05:53,000
basis, you can look at them from
a weekly basis, you can look at
92
00:05:53,000 --> 00:05:56,000
them from a monthly basis.
And I'm like, look, you don't
93
00:05:56,000 --> 00:05:58,240
have to create this stuff from
scratch.
94
00:05:58,240 --> 00:06:01,040
That's right.
Get what you're accounted, get,
95
00:06:01,120 --> 00:06:05,240
you know, some Excel documents,
you know, again, get the paid
96
00:06:05,240 --> 00:06:11,440
version right of so you can
protect your data and you can
97
00:06:11,440 --> 00:06:15,200
have it.
Man, do you know how amazing it
98
00:06:15,200 --> 00:06:19,520
is to take those numbers, take
those spreadsheets and say, Hey,
99
00:06:19,800 --> 00:06:24,240
give me first quarter, give me
the first week of first quarter.
100
00:06:24,600 --> 00:06:27,160
Give me.
And so now I and So what I, what
101
00:06:27,160 --> 00:06:32,040
I was encouraging, you know, my
cohort to do is to look at your
102
00:06:32,040 --> 00:06:34,120
business at all these different
slices.
103
00:06:34,360 --> 00:06:37,920
So when today is not going well,
you can go, oh but you know
104
00:06:37,920 --> 00:06:40,160
what, I'm up on the month.
That's good.
105
00:06:41,080 --> 00:06:44,000
You know what I'm saying?
And you that's hours of work.
106
00:06:44,000 --> 00:06:45,560
You know that's hours of work,
right?
107
00:06:45,760 --> 00:06:49,280
That's turned into probably what
a good a good prop that's like
108
00:06:49,280 --> 00:06:51,920
30 minutes probably it could be
less than 30.
109
00:06:51,920 --> 00:06:54,480
Minutes, probably, yeah.
The more you get used to it,
110
00:06:54,480 --> 00:06:56,240
yeah, yeah.
Yeah.
111
00:06:56,240 --> 00:06:59,240
So, yeah, definitely, man,
there's no shortage.
112
00:06:59,680 --> 00:07:03,120
If you can think it, it can
generate it.
113
00:07:03,120 --> 00:07:06,200
It's It's as simple as that.
Yes, yes, yes.
114
00:07:06,200 --> 00:07:09,080
So good, so good, so good, so
good, so good.
115
00:07:09,400 --> 00:07:12,760
And, and so, so.
Before we go any further, I do
116
00:07:12,760 --> 00:07:17,080
want to take some time to give a
shout out to some special
117
00:07:17,080 --> 00:07:20,240
listeners out there who have
taken the time to give us the
118
00:07:20,240 --> 00:07:25,480
gift of feedback.
Tabatha, Jasmine, Regina, we
119
00:07:25,480 --> 00:07:27,760
appreciate you.
Thank you for going on the site
120
00:07:27,760 --> 00:07:31,400
and giving us our listener,
taking a listener feedback and
121
00:07:31,400 --> 00:07:34,400
we encourage anybody to go to
our site leadership
122
00:07:34,400 --> 00:07:38,400
sovereignty.com/survey and to
take our listener survey so we
123
00:07:38,400 --> 00:07:41,360
can get some feedback from you
and leave us a review and we
124
00:07:41,360 --> 00:07:42,920
will shout out your name on the
next show.
125
00:07:43,200 --> 00:07:45,120
So thank you for that.
Thank you guys.
126
00:07:45,160 --> 00:07:46,720
Appreciate it.
Perfect.
127
00:07:46,920 --> 00:07:49,840
All right, so moving into the
next topic, let's talk a little
128
00:07:49,840 --> 00:07:53,160
bit about advanced prompt
engineering techniques, right?
129
00:07:53,160 --> 00:07:58,400
So one example of that is using
a prompt to simulate a
130
00:07:58,400 --> 00:08:01,600
leadership scenario, right?
Like preparing for a difficult
131
00:08:01,600 --> 00:08:05,360
conversation with a team member.
This is a fantastic, fantastic,
132
00:08:05,360 --> 00:08:08,960
fantastic example, right?
Because in today's world, we as
133
00:08:08,960 --> 00:08:12,880
leaders, we can't, we have to
show emotional intelligence when
134
00:08:12,880 --> 00:08:15,360
we're dealing with our staff and
dealing with other people.
135
00:08:16,040 --> 00:08:20,600
Being able to put a scenario
into ChatGPT or whatever
136
00:08:20,880 --> 00:08:26,000
generative AI tool that you use
and ask for some options on how
137
00:08:26,000 --> 00:08:30,680
to actually respond to this can
be worth his weight in gold,
138
00:08:31,120 --> 00:08:32,679
right?
Because a lot of times we, you
139
00:08:32,679 --> 00:08:34,880
know, especially if we're
managing people or let's just
140
00:08:34,880 --> 00:08:37,240
say you have to talk to your
boss about a difficult
141
00:08:37,240 --> 00:08:40,159
conversation, right?
You know, how, how often do you
142
00:08:40,159 --> 00:08:43,400
get a chance to get a coach that
can actually tell you, OK, well,
143
00:08:43,400 --> 00:08:46,040
based on this situation, you
probably want to talk like this.
144
00:08:46,040 --> 00:08:48,400
You probably want to say these
words and these.
145
00:08:48,600 --> 00:08:51,960
That is invaluable.
So, and you know what it is,
146
00:08:52,000 --> 00:08:53,040
right?
And so here's the beauty.
147
00:08:53,160 --> 00:09:00,640
No, you are not typing this in.
You're literally having a
148
00:09:00,680 --> 00:09:04,480
conversation like just like if
if you were on the other end of
149
00:09:04,480 --> 00:09:06,960
this podcast and you wanted to
add some questions.
150
00:09:07,200 --> 00:09:10,680
Yes.
Yeah, it's it's, it's
151
00:09:10,760 --> 00:09:15,520
irreplaceable.
Irreplaceable, irreplaceable.
152
00:09:15,520 --> 00:09:19,040
And then remember in a previous
show we talked about how if you
153
00:09:19,040 --> 00:09:22,880
have these the at least with
Gemini and Taji BT for sure, you
154
00:09:22,880 --> 00:09:25,640
can create a shortcut on your
phone where you can just click
155
00:09:25,640 --> 00:09:28,440
on the button and then you
automatically start having a
156
00:09:28,440 --> 00:09:30,960
voice conversation with the
tool, right?
157
00:09:31,600 --> 00:09:34,360
It irreplaceable, like Terry
said, invaluable.
158
00:09:35,440 --> 00:09:37,400
Yeah.
And so look, look, look, I'm
159
00:09:37,400 --> 00:09:40,800
going to keep it like.
Let's break it down to the most
160
00:09:40,800 --> 00:09:46,200
simplest of examples, right?
I have teenagers in the house
161
00:09:46,560 --> 00:09:51,160
and you know, you know, everyone
in Texas, I believe, as a
162
00:09:51,160 --> 00:09:54,800
teenager has interviewed at
Chick-fil-A, right?
163
00:09:55,080 --> 00:09:59,680
So I'm like, hey, you need to
get with Chad, GBT or Gemini and
164
00:10:00,440 --> 00:10:03,880
go through your practice
interview.
165
00:10:04,440 --> 00:10:07,000
And, and I'm like, Hey, make
sure they ask you about all the
166
00:10:07,000 --> 00:10:11,120
sauces, right?
I mean, and they literally sat
167
00:10:11,120 --> 00:10:16,080
there and went through an
interview prep for, you know,
168
00:10:16,120 --> 00:10:18,720
I'm, I'm, I'm going for the, you
know, I'm going to be the tea
169
00:10:18,720 --> 00:10:21,040
filler, right?
I'm the French fry guy,
170
00:10:21,080 --> 00:10:23,480
Whatever, whatever the world is,
right?
171
00:10:24,160 --> 00:10:30,240
And it will literally sit there
and take you through as many
172
00:10:30,800 --> 00:10:33,360
iterations as you need to
perfect.
173
00:10:33,360 --> 00:10:35,280
And it will also give you
feedback.
174
00:10:35,280 --> 00:10:37,200
Hey, how did I do?
Right?
175
00:10:37,200 --> 00:10:38,880
Well, you should strengthen
here.
176
00:10:39,120 --> 00:10:42,880
And, and just on a more serious
note, right, you know, just even
177
00:10:42,880 --> 00:10:47,960
me personally and you know, when
I have customer meetings and you
178
00:10:47,960 --> 00:10:51,720
know, there's some information
that I received back, you know,
179
00:10:51,720 --> 00:10:54,840
I'll feed it in and I'm like,
hey, you're the client.
180
00:10:55,160 --> 00:11:00,080
I want to present this and, you
know, help me present this in
181
00:11:00,080 --> 00:11:05,160
the best manner.
Where I'm alleviating the
182
00:11:05,160 --> 00:11:09,840
technical jargon, right and I'm
making this very client friendly
183
00:11:10,720 --> 00:11:15,360
to understand right and so you
you give it the context right
184
00:11:15,600 --> 00:11:17,480
yes.
And so it's great practice,
185
00:11:17,480 --> 00:11:21,880
right, because and you know,
look 25 years, 20 years of tech
186
00:11:21,880 --> 00:11:25,440
talk and it's just, you know,
base always wants to come back.
187
00:11:25,440 --> 00:11:28,400
That's right.
So you have to practice at where
188
00:11:28,400 --> 00:11:31,800
you're going.
So and again, tons of other
189
00:11:31,800 --> 00:11:34,000
examples I'm sure that we can
share.
190
00:11:34,000 --> 00:11:38,560
Those are some personal ways
that I've used that feature,
191
00:11:38,560 --> 00:11:40,040
Ralph so.
I love that.
192
00:11:41,280 --> 00:11:43,480
Yeah, I love that.
I think those are great examples
193
00:11:43,480 --> 00:11:46,160
and great stories.
I've heard of a guy, you know,
194
00:11:46,160 --> 00:11:51,120
going as far as to uploading a
job, you know, description and
195
00:11:51,600 --> 00:11:54,720
uploading his resume and
comparing the two and say, OK,
196
00:11:54,720 --> 00:11:56,560
tell me the differences between
the two.
197
00:11:56,920 --> 00:11:59,000
Where am I lacking?
Right, Right.
198
00:11:59,000 --> 00:12:02,480
And I want you to train me and
get me up to speed on these so
199
00:12:02,480 --> 00:12:04,320
that I can interview.
Well, right.
200
00:12:04,400 --> 00:12:06,960
It it it can, it can go that far
for you, right?
201
00:12:06,960 --> 00:12:10,680
You know, So if you are
interviewing nowadays, if you're
202
00:12:10,680 --> 00:12:13,880
not using this tool to prepare
you, you really doing yourself a
203
00:12:13,880 --> 00:12:16,200
disjustice, right?
Because it can only, it's only
204
00:12:16,200 --> 00:12:19,920
going to make you better, right?
Yeah, yeah.
205
00:12:19,920 --> 00:12:25,760
No, another engineering prompt
engineering technique is
206
00:12:26,520 --> 00:12:29,800
crafting prompts to break down a
big project into actionable
207
00:12:29,800 --> 00:12:33,240
steps, right or helping someone
manage and prioritize tasks.
208
00:12:33,240 --> 00:12:36,240
So imagine that you are and
we've all been in this
209
00:12:36,240 --> 00:12:38,640
situation.
OK, boss has asked me to get
210
00:12:38,640 --> 00:12:41,280
involved in this big project and
I and I need to lead this big
211
00:12:41,280 --> 00:12:43,160
project.
You don't know where to start,
212
00:12:43,600 --> 00:12:45,800
right?
You can get, you can create, use
213
00:12:45,800 --> 00:12:48,920
your prompt engineering skills
to create the perfect prompt to
214
00:12:48,920 --> 00:12:52,960
say, hey, you are an expert at
project management.
215
00:12:53,280 --> 00:12:56,960
And in the context is I've been
given this project to do.
216
00:12:56,960 --> 00:13:01,280
And I need you to help me
understand exactly the right way
217
00:13:01,280 --> 00:13:04,360
to break this project down into
the right to the right
218
00:13:04,360 --> 00:13:07,800
prioritization and task.
And I want you and these are the
219
00:13:07,800 --> 00:13:09,520
instructions.
I want you to lay them out in
220
00:13:09,520 --> 00:13:12,160
this way for me, right?
Do you understand the
221
00:13:12,160 --> 00:13:15,360
competitive advantage that gives
you versus someone who's never
222
00:13:15,360 --> 00:13:16,560
done it before?
Wow.
223
00:13:17,440 --> 00:13:19,160
Right.
And, and Terry, and I was saying
224
00:13:19,160 --> 00:13:20,640
this in the previous episodes,
right?
225
00:13:21,640 --> 00:13:25,120
Think about everything we're
talking about in the context of
226
00:13:25,440 --> 00:13:27,760
you doing this versus someone
who's not doing it.
227
00:13:28,640 --> 00:13:30,720
That makes all the difference in
the world.
228
00:13:30,720 --> 00:13:34,040
Because again, you will fly
right past people like they're
229
00:13:34,040 --> 00:13:37,560
standing still who refuse to
take the time to learn how to do
230
00:13:37,560 --> 00:13:39,560
this.
Because remember, 80% of the
231
00:13:39,560 --> 00:13:44,120
people who use Gen.
AI do not use prompt
232
00:13:44,120 --> 00:13:49,440
engineering. 80%, right?
That means only 20% of the
233
00:13:49,440 --> 00:13:52,800
people who are actually using
the platforms are actually
234
00:13:52,800 --> 00:13:56,240
getting the true value and the
true power out of it, right?
235
00:13:57,000 --> 00:14:00,480
The, the, the, the other 80% are
only using it at a very, very
236
00:14:00,480 --> 00:14:02,920
small level.
And if you take all of the
237
00:14:02,920 --> 00:14:05,280
people who are using Gennii
versus all the people who are
238
00:14:05,280 --> 00:14:08,160
not, it's even a greater people
who are not even using it at
239
00:14:08,160 --> 00:14:09,760
all.
So these are your competitive
240
00:14:09,760 --> 00:14:12,080
advantages in the workplace.
These are things that you can
241
00:14:12,080 --> 00:14:16,000
use on a regular basis that that
are going to help you get ahead.
242
00:14:16,480 --> 00:14:19,240
Thank you for listening to the
Leadership Sovereignty Podcast.
243
00:14:19,560 --> 00:14:22,640
If this content blessed or
helped you in any kind of way,
244
00:14:23,000 --> 00:14:27,080
support us today by subscribing
to our YouTube channel, clicking
245
00:14:27,080 --> 00:14:29,640
the like button for this
episode, and sharing this
246
00:14:29,640 --> 00:14:31,640
content with others that you
think it will help.
247
00:14:32,360 --> 00:14:36,160
Until next time, stay safe,
peace and blessings.

Ralph Owens
CIO | CTO | Podcaster | 2x Houston CIO Of The Year Finalist | US Navy Veteran
Ralph Owens is an accomplished technology executive with a proven record of driving digital transformation and business growth in high-stakes environments. Fueled by a deep passion for technology and innovation, Ralph excels at developing and executing IT strategies that deliver measurable results and lasting competitive advantage. As a strategic leader, Ralph brings a sharp focus on cybersecurity, operational excellence, and building strong partnerships across the business. His experience spans diverse industries, including financial services and energy generation, where he has successfully secured critical infrastructure and navigated complex regulatory landscapes. Recognized for his ability to build high-performing teams and lead complex IT initiatives, Ralph consistently aligns technology with business goals to create innovative solutions that accelerate growth, enhance customer experience, and achieve revenue targets. Driven to empower organizations to harness technology for sustainable value, Ralph is passionate about collaborating with forward-thinking leaders to shape the future of digital transformation.

Terry Baylor
Strategic IT & Digital Transformation Leader, Entrepreneur, Mentor, Public Speaker, and Podcaster
Terry Baylor is a transformative Strategic IT & Digital Transformation Leader, entrepreneur, mentor, public speaker, and podcaster based in Houston. He’s on a mission to humanize technology, believing that the most powerful connections still happen in person. Terry leads with empathy and action, guiding teams and organizations to harness Agile practices, embrace innovation, and thrive in complex digital landscapes. At Lift Life Technology, Terry champions the mantra "Old‑fashioned isn’t outdated," emphasizing face‑to‑face interactions in a virtual world. His recent LinkedIn reflections underscore his passion:
“When you show up, listen, and connect from the heart, you’re not just selling a service — you’re building trust, community, and lasting relationships.”
Whether he’s delivering key insights at events like Cisco Live or coaching high-performing teams, Terry empowers others to lead with authenticity, agility, and impact.