1
00:00:00,040 --> 00:00:02,719
Speaker 1: Welcome to Money Making Conversation Masterclass. This is your host,

2
00:00:03,200 --> 00:00:07,280
Speaker 1: Rashan McDonald, our host this weekly Money Making Conversation Masterclass show.

3
00:00:07,720 --> 00:00:10,920
Speaker 1: The interviews and information that this show provides off for everyone.

4
00:00:11,240 --> 00:00:14,120
Speaker 1: It's time to stop reading other people's success stories and

5
00:00:14,200 --> 00:00:16,720
Speaker 1: start living your own. If you want to be a

6
00:00:16,760 --> 00:00:20,919
Speaker 1: guest on my show, please visit our website, Moneymaking Conversations

7
00:00:21,400 --> 00:00:24,439
Speaker 1: dot com and click to be a guest button. Let's

8
00:00:24,480 --> 00:00:27,560
Speaker 1: get this show started with my guests. My guests founded

9
00:00:27,600 --> 00:00:32,479
Speaker 1: a company that helps churches and nonprofit organizations specifically to

10
00:00:32,640 --> 00:00:38,040
Speaker 1: understand technology and help them with artificial intelligence technology to

11
00:00:38,120 --> 00:00:41,480
Speaker 1: help them spread the gospel. Please welcome to Money Making

12
00:00:41,479 --> 00:00:44,879
Speaker 1: Conversation Masterclass. Gregory Richardson. How you're doing, Gregory?

13
00:00:45,960 --> 00:00:48,879
Speaker 2: Fantastic? Rashaan, thank you for having me on your program.

14
00:00:48,920 --> 00:00:49,760
Speaker 2: Can you hear me? Well?

15
00:00:49,800 --> 00:00:50,239
Speaker 3: Pretty good?

16
00:00:50,360 --> 00:00:50,600
Speaker 2: Can you?

17
00:00:50,800 --> 00:00:52,600
Speaker 3: Where are you based at at? Gregory? Where you based?

18
00:00:52,800 --> 00:00:53,440
Speaker 3: Where are your best?

19
00:00:53,840 --> 00:00:56,600
Speaker 2: I am? I live in Dallas, Texas and I am

20
00:00:56,720 --> 00:00:59,080
Speaker 2: right now in my office in Dallas, Texas. But I

21
00:00:59,360 --> 00:01:01,520
Speaker 2: move around a lot. So but right now you caught

22
00:01:01,560 --> 00:01:01,960
Speaker 2: me at home.

23
00:01:02,160 --> 00:01:04,720
Speaker 1: We're good, We're good. Well, I know I just mentioned that.

24
00:01:04,880 --> 00:01:09,080
Speaker 1: Let's get a little background on you. Is working in AI?

25
00:01:09,240 --> 00:01:09,399
Speaker 2: Is that?

26
00:01:09,640 --> 00:01:11,360
Speaker 3: Is that a full time role for you?

27
00:01:11,800 --> 00:01:14,120
Speaker 1: Or you do other things? Because you seem like a

28
00:01:14,160 --> 00:01:15,560
Speaker 1: man who multitasks.

29
00:01:17,440 --> 00:01:22,160
Speaker 2: Huh, you spit a mouthful at me there. Let me

30
00:01:22,240 --> 00:01:25,199
Speaker 2: let me start by start at the end and say,

31
00:01:25,319 --> 00:01:31,720
Speaker 2: I firmly disagree with the notion of multitasking in my

32
00:01:32,600 --> 00:01:35,800
Speaker 2: fairly limited experience. I'm only I'm only I'm approaching sixty

33
00:01:35,880 --> 00:01:38,760
Speaker 2: years old, so you know, I'm not a million years

34
00:01:38,760 --> 00:01:41,640
Speaker 2: old or anything like that. But in my experience, when

35
00:01:41,720 --> 00:01:44,240
Speaker 2: I try to multitask, or when employees of mine try

36
00:01:44,240 --> 00:01:47,000
Speaker 2: to multitask, what they end up doing is not doing

37
00:01:47,040 --> 00:01:51,760
Speaker 2: any of the tasks really well. Humans are fundamentally designed

38
00:01:52,080 --> 00:01:56,440
Speaker 2: to single purpose task. Obviously, you can chew and walk,

39
00:01:56,560 --> 00:01:58,480
Speaker 2: you know, chew gum and walk at the same time,

40
00:01:58,720 --> 00:02:02,120
Speaker 2: But I don't think your brain functions well doing two

41
00:02:02,160 --> 00:02:05,360
Speaker 2: separate tasks. The context switching and other things that need

42
00:02:05,400 --> 00:02:08,040
Speaker 2: to happen when you're flipping and flopping between tasks end

43
00:02:08,160 --> 00:02:11,280
Speaker 2: up making you more inefficient, So that's one part of it.

44
00:02:11,360 --> 00:02:12,960
Speaker 2: I just like to always I like that.

45
00:02:13,040 --> 00:02:15,880
Speaker 1: I like that because I always I always proplay myself

46
00:02:15,880 --> 00:02:17,040
Speaker 1: as a multitasker.

47
00:02:17,160 --> 00:02:17,760
Speaker 3: I really do.

48
00:02:17,960 --> 00:02:19,760
Speaker 1: That means I'm doing a lot of things, not saying

49
00:02:19,760 --> 00:02:23,360
Speaker 1: I'm doing them simultaneously. That means that I got a

50
00:02:23,360 --> 00:02:26,000
Speaker 1: couple of things happening. I got a couple of gigs,

51
00:02:26,000 --> 00:02:28,079
Speaker 1: I got a couple of deals. I got a couple

52
00:02:28,120 --> 00:02:31,679
Speaker 1: of things that my fire's burning. They don't mean on fire.

53
00:02:31,720 --> 00:02:34,680
Speaker 1: At the same time. That means I got a motivated

54
00:02:34,680 --> 00:02:37,360
Speaker 1: to get these actions done. I will tell you this, Gregory,

55
00:02:37,560 --> 00:02:39,840
Speaker 1: I hear what you're saying. If you're trying to do

56
00:02:39,919 --> 00:02:45,040
Speaker 1: something anybody, if a computer is trying to calculate something simultaneously,

57
00:02:45,440 --> 00:02:48,600
Speaker 1: or you're trying to load something on Wi Fi simultaneously,

58
00:02:48,720 --> 00:02:52,440
Speaker 1: it's gonna drag. So you absolutely correct. When you're trying

59
00:02:52,440 --> 00:02:57,040
Speaker 1: to multitask simultaneously, it will not be effective.

60
00:02:58,720 --> 00:03:01,799
Speaker 2: Of facts. Now, to get to the core of what

61
00:03:01,880 --> 00:03:04,480
Speaker 2: you I believe you're asking. I'm confident you're asking. You

62
00:03:04,520 --> 00:03:08,160
Speaker 2: were spot on. You detect that I am a multi entrepreneur,

63
00:03:08,160 --> 00:03:12,280
Speaker 2: a serial entrepreneur. Over my life, I've I've ran, owned,

64
00:03:12,320 --> 00:03:18,760
Speaker 2: operated started multiple companies from car rentals to restaurants to

65
00:03:19,160 --> 00:03:24,160
Speaker 2: you name it, to consulting companies, software companies, real estate company.

66
00:03:24,280 --> 00:03:29,080
Speaker 2: Like my wife and I we we do entrepreneurship really well.

67
00:03:29,320 --> 00:03:32,840
Speaker 2: In addition to that, I one hundred percent do have

68
00:03:32,880 --> 00:03:35,920
Speaker 2: a full time job also, So I am what you

69
00:03:36,000 --> 00:03:39,560
Speaker 2: call an ethical hacker, and for maybe the last forty

70
00:03:39,640 --> 00:03:44,960
Speaker 2: years or so, my career has been cybersecurity. How do

71
00:03:45,040 --> 00:03:53,520
Speaker 2: I help large typically large organizations, the world's biggest banks, governments, companies, GM, FOD,

72
00:03:53,680 --> 00:03:57,440
Speaker 2: you name it, Nissan that was recently in Tokyo with

73
00:03:57,560 --> 00:04:01,119
Speaker 2: Nissan helping them solve some of their side security problems.

74
00:04:01,600 --> 00:04:06,080
Speaker 2: That's my day job. Now how that connects to AI?

75
00:04:06,440 --> 00:04:07,840
Speaker 3: Okay, before we go there, let's go back.

76
00:04:08,000 --> 00:04:11,200
Speaker 1: Let's go back to this cybersecurity, because that's huge. You know,

77
00:04:11,600 --> 00:04:14,840
Speaker 1: we have people doing cyber ransom. You know, you have

78
00:04:14,920 --> 00:04:19,360
Speaker 1: a bank's, hospitals, governments, so being held hostage by people.

79
00:04:19,680 --> 00:04:22,000
Speaker 1: Talk to us through that whole process. When you're talking

80
00:04:22,000 --> 00:04:26,120
Speaker 1: about cybersecurity and we're talking about people who still use one, two, three,

81
00:04:26,160 --> 00:04:27,159
Speaker 1: four as they password.

82
00:04:28,360 --> 00:04:33,919
Speaker 2: Oh yeah, that's there's so much there. One of the

83
00:04:33,960 --> 00:04:36,440
Speaker 2: things I like to kind of like flow the conversation

84
00:04:36,600 --> 00:04:43,120
Speaker 2: with is cybersecurity because of the volume, the share magnitude

85
00:04:43,400 --> 00:04:46,320
Speaker 2: of the number of threats that we've been seeing and

86
00:04:46,360 --> 00:04:50,360
Speaker 2: it's been growing like crazy. It's literally billions of threats

87
00:04:50,720 --> 00:04:56,480
Speaker 2: per hour, so it's you know it, it's more than huge.

88
00:04:56,760 --> 00:05:00,000
Speaker 2: Maybe for the last fifteen twenty thirty years, it's been

89
00:05:00,200 --> 00:05:03,359
Speaker 2: more than you could hire humans to fix, right, So

90
00:05:03,520 --> 00:05:07,200
Speaker 2: that's why we started leveraging AI to help us do

91
00:05:07,360 --> 00:05:11,200
Speaker 2: things like prediction and classification and quickly looking at a

92
00:05:11,240 --> 00:05:13,440
Speaker 2: million files and saying which of these are bad files,

93
00:05:13,440 --> 00:05:15,920
Speaker 2: which of them look like files that were by files

94
00:05:16,000 --> 00:05:18,920
Speaker 2: yesterday that were viruses or malware or ransomware, et cetera,

95
00:05:18,960 --> 00:05:21,440
Speaker 2: et cetera. So that's a big part of it. The

96
00:05:21,520 --> 00:05:24,480
Speaker 2: other part of what we do in cybersecurity is called

97
00:05:24,560 --> 00:05:28,799
Speaker 2: security operations. That's where you're engaging with the users and

98
00:05:29,000 --> 00:05:31,520
Speaker 2: working against things like you just mentioned, Hey, you can't

99
00:05:31,560 --> 00:05:34,560
Speaker 2: set your password to one, two, three, four, even bigger.

100
00:05:34,760 --> 00:05:37,640
Speaker 2: Most people get that by now even bigger. You don't

101
00:05:37,680 --> 00:05:40,719
Speaker 2: want to reuse the same password on your Gmail, on

102
00:05:40,760 --> 00:05:43,000
Speaker 2: your Facebook, on your Instagram, on your this, on your that,

103
00:05:43,080 --> 00:05:47,800
Speaker 2: on your banking you you really ideally should have separate

104
00:05:47,920 --> 00:05:51,600
Speaker 2: passwords for every single public facing service that you connect to.

105
00:05:52,040 --> 00:05:55,920
Speaker 2: And in my from my perspective, what I recommend customers

106
00:05:55,960 --> 00:05:59,400
Speaker 2: and employees and whoever else I don't even use passwords anymore.

107
00:05:59,480 --> 00:06:05,000
Speaker 2: I'm either doing biometrics, finger I hand facial recognition, or

108
00:06:05,200 --> 00:06:07,600
Speaker 2: if I do have to type something in, I'm using

109
00:06:07,640 --> 00:06:09,880
Speaker 2: what we call a passphrase. So I'll give you a

110
00:06:09,920 --> 00:06:13,880
Speaker 2: real world example of that. Look, when computers started, you know,

111
00:06:14,640 --> 00:06:17,520
Speaker 2: or the internet connectivity started, a password could be eight

112
00:06:17,560 --> 00:06:20,520
Speaker 2: to ten characters long. There ain't a system in the world,

113
00:06:20,600 --> 00:06:24,240
Speaker 2: a reasonably modern system, where you have that constraint. So therefore,

114
00:06:24,440 --> 00:06:28,080
Speaker 2: why are we trying to squeeze a password into a

115
00:06:28,080 --> 00:06:30,600
Speaker 2: couple of characters. I'll give you a real world example.

116
00:06:30,920 --> 00:06:34,000
Speaker 2: My password on one of my social media's right now.

117
00:06:34,080 --> 00:06:38,040
Speaker 2: Good luck trying to hack it, though. Is Philippians space

118
00:06:38,360 --> 00:06:45,520
Speaker 2: two colon three comma consider others more important than yourselves. Period.

119
00:06:46,279 --> 00:06:49,839
Speaker 2: That's literally a scripture quote with the comma, with the period,

120
00:06:49,880 --> 00:06:52,320
Speaker 2: with the spaces, with the capital letters. Philippians.

121
00:06:52,720 --> 00:06:55,440
Speaker 3: Password number, password.

122
00:06:56,400 --> 00:06:59,719
Speaker 2: That's that's one of my probably five hundred passwords that

123
00:06:59,720 --> 00:07:02,680
Speaker 2: I have. That's why I said I'm not afraid to

124
00:07:02,720 --> 00:07:05,440
Speaker 2: put it out there, because I also changed my passwords constantly.

125
00:07:06,000 --> 00:07:06,960
Speaker 2: But yeah, let me.

126
00:07:06,920 --> 00:07:08,400
Speaker 3: Ask you this. Let me ask you this. Great because

127
00:07:08,400 --> 00:07:08,960
Speaker 3: I love talking to you.

128
00:07:09,040 --> 00:07:11,640
Speaker 1: I love your energy, because I've never talked to a

129
00:07:11,680 --> 00:07:14,240
Speaker 1: guest like you that had the knowledge, because what we're

130
00:07:14,240 --> 00:07:17,800
Speaker 1: talking about is, you know, the simplicity and how people

131
00:07:17,880 --> 00:07:20,800
Speaker 1: kind of really disrespect the process and then when they

132
00:07:20,800 --> 00:07:24,480
Speaker 1: get scammed then they don't know why. Now the two

133
00:07:24,600 --> 00:07:27,080
Speaker 1: factor that's the big thing. I use two factor a lot.

134
00:07:27,240 --> 00:07:29,640
Speaker 1: What are your thoughts on two factor because I do

135
00:07:29,800 --> 00:07:32,680
Speaker 1: use passwords. I do have a password vault. Because I

136
00:07:32,680 --> 00:07:35,440
Speaker 1: do have a ton of passwords, and I do change

137
00:07:35,600 --> 00:07:38,960
Speaker 1: every password for every account. The value of the password

138
00:07:39,040 --> 00:07:41,360
Speaker 1: vault allows me to do that. What do you say

139
00:07:41,360 --> 00:07:45,560
Speaker 1: when people are these systems recommend you use two factor,

140
00:07:46,080 --> 00:07:47,680
Speaker 1: you know authorization.

141
00:07:48,360 --> 00:07:52,120
Speaker 2: One hundred percent agree with that, and you're going, obviously,

142
00:07:52,120 --> 00:07:55,840
Speaker 2: we've we've just met Risson, but you're you're absolutely doing

143
00:07:55,880 --> 00:07:58,800
Speaker 2: the things you need to do. A password vault, obviously

144
00:07:58,840 --> 00:08:00,480
Speaker 2: you want to make sure it's a password evolved from

145
00:08:00,520 --> 00:08:04,320
Speaker 2: a very reputable company. I personally use a Google password vault.

146
00:08:04,400 --> 00:08:06,400
Speaker 2: I also use Google authenticat or you could use a

147
00:08:06,440 --> 00:08:09,160
Speaker 2: Microsoft password vault. Maybe that's a little bit less secure,

148
00:08:09,200 --> 00:08:13,040
Speaker 2: but use a password vault from a very reputable company,

149
00:08:13,280 --> 00:08:16,080
Speaker 2: not some little mickey Mouse startup that if something goes wrong,

150
00:08:16,080 --> 00:08:18,040
Speaker 2: you could at least see them and get you know,

151
00:08:18,200 --> 00:08:20,640
Speaker 2: tens of thousands of dollars from them. That's step one,

152
00:08:20,640 --> 00:08:24,160
Speaker 2: and you're you're doing that. Step two you absolutely the

153
00:08:24,200 --> 00:08:27,240
Speaker 2: password vault allows you to use multiple passwords without having

154
00:08:27,280 --> 00:08:28,920
Speaker 2: to remember or write down on a piece of post

155
00:08:28,920 --> 00:08:31,800
Speaker 2: to know what the password is, so excellent. Step two

156
00:08:32,160 --> 00:08:37,520
Speaker 2: you unequivocally to want to use two factor authentication. Well,

157
00:08:37,520 --> 00:08:41,240
Speaker 2: two factor authentication is it's a second factor. So the

158
00:08:41,280 --> 00:08:44,120
Speaker 2: first factor could be your fingerprint or your password, or

159
00:08:44,160 --> 00:08:47,920
Speaker 2: your facial recognition or whatever. The second factor is it

160
00:08:48,160 --> 00:08:51,720
Speaker 2: sends something to something you have. So first factor is

161
00:08:51,720 --> 00:08:54,360
Speaker 2: something you know or something you are, a fingerprint or

162
00:08:54,360 --> 00:08:57,160
Speaker 2: something you know a password. The second factor could be

163
00:08:57,160 --> 00:08:59,760
Speaker 2: something you have, your cell phone, So it'll send a

164
00:08:59,760 --> 00:09:02,280
Speaker 2: ten to your cell phone saying hey, yes, Greg, if

165
00:09:02,320 --> 00:09:05,320
Speaker 2: you're really Greg, you're not only supposed to know the password,

166
00:09:05,360 --> 00:09:07,040
Speaker 2: but you should have your cell phone with you as well.

167
00:09:07,200 --> 00:09:08,839
Speaker 2: I'm a pop a code up on your cell phone,

168
00:09:08,880 --> 00:09:11,120
Speaker 2: put that, enter that here, and then I'll know that

169
00:09:11,160 --> 00:09:15,600
Speaker 2: it's you. That's one example of a two factor. Absolutely

170
00:09:15,720 --> 00:09:19,720
Speaker 2: recommend that I get my Facebook, for example, gets bombarded.

171
00:09:21,080 --> 00:09:22,920
Speaker 2: I guess you were trying to log on Greg or

172
00:09:22,960 --> 00:09:25,040
Speaker 2: you know, it looks like you lost your password. I

173
00:09:25,080 --> 00:09:28,040
Speaker 2: don't even bother with them anymore because I know I

174
00:09:28,040 --> 00:09:31,720
Speaker 2: have two factor turned on. So even if someone manages

175
00:09:31,760 --> 00:09:34,719
Speaker 2: to somehow guess or finagle my password, two factors is

176
00:09:34,720 --> 00:09:35,880
Speaker 2: going to stop them from getting in.

177
00:09:36,080 --> 00:09:42,360
Speaker 1: Greg, because you just hit home with these Bank of

178
00:09:42,440 --> 00:09:47,280
Speaker 1: America type emails or these Facebook emails or these American

179
00:09:47,320 --> 00:09:49,840
Speaker 1: that's what I get. They look like American Express, you

180
00:09:49,880 --> 00:09:52,319
Speaker 1: know exactly. You know, they look like a Bank of America.

181
00:09:52,360 --> 00:09:55,200
Speaker 1: They look like they look like the Facebook and the

182
00:09:55,280 --> 00:09:59,079
Speaker 1: matters talk about you violated a copyright if if you

183
00:09:59,080 --> 00:10:01,800
Speaker 1: don't click this link, we're going to take your site down.

184
00:10:02,400 --> 00:10:08,240
Speaker 1: How does one you know, don't become don't be mislaid

185
00:10:09,600 --> 00:10:14,040
Speaker 1: by this fear of clicking the wrong thing, because they

186
00:10:14,080 --> 00:10:17,959
Speaker 1: always said the elderly community community is victimized the most.

187
00:10:18,280 --> 00:10:21,079
Speaker 1: But talk to us about avoiding those type of scams.

188
00:10:23,640 --> 00:10:26,760
Speaker 2: Avoiding them is practically impossible. And I'll actually take a

189
00:10:26,760 --> 00:10:30,080
Speaker 2: step back if I may. What has caused or what

190
00:10:30,360 --> 00:10:34,959
Speaker 2: is causing that drastic uptick that we've seen for the

191
00:10:35,040 --> 00:10:38,400
Speaker 2: last five, ten, fifteen years in those types of scams.

192
00:10:38,800 --> 00:10:44,400
Speaker 2: It is simple opportunism in around twenty twelve, the FBI

193
00:10:44,720 --> 00:10:47,320
Speaker 2: they released reports every year on the state of you know,

194
00:10:47,400 --> 00:10:50,000
Speaker 2: crime and that kind of stuff. Somewhere around twenty ten,

195
00:10:50,040 --> 00:10:52,360
Speaker 2: eleven to twelve, I don't remember exactly when, for the

196
00:10:52,400 --> 00:10:55,240
Speaker 2: first time the FBI released a report called the State

197
00:10:55,280 --> 00:10:58,440
Speaker 2: of Cyber Crime Security. It wasn't the first time they

198
00:10:58,520 --> 00:11:00,439
Speaker 2: released the report, but what about to say is the

199
00:11:00,480 --> 00:11:03,760
Speaker 2: first time they stated it. And in that report, somewhere

200
00:11:03,800 --> 00:11:07,199
Speaker 2: around twenty ten ish they stated for the first time

201
00:11:07,640 --> 00:11:13,560
Speaker 2: that revenue from criminal organizations that do ransomware and viruses

202
00:11:13,640 --> 00:11:18,640
Speaker 2: and spam and scams via the Internet surpassed for the

203
00:11:18,720 --> 00:11:23,640
Speaker 2: first time in history all revenue from all cocaine sales,

204
00:11:23,840 --> 00:11:29,440
Speaker 2: heroin sales, and marijuana sales globally. So when criminal organizations

205
00:11:29,520 --> 00:11:32,680
Speaker 2: start noticing, hey, I don't need to buy a submarine

206
00:11:32,679 --> 00:11:34,640
Speaker 2: and smuggle drugs and this and that and the other,

207
00:11:35,000 --> 00:11:37,319
Speaker 2: or I could keep doing that, but I can also

208
00:11:37,520 --> 00:11:40,040
Speaker 2: generate a lot of money over here by doing these

209
00:11:40,040 --> 00:11:43,959
Speaker 2: computer things. That is what triggers the attacks that we're

210
00:11:43,960 --> 00:11:49,080
Speaker 2: seeing now. Criminals are notoriously opportunistic, and you have to

211
00:11:49,200 --> 00:11:51,680
Speaker 2: look at every email you get. And this answers your

212
00:11:51,760 --> 00:11:55,960
Speaker 2: question directly, as is someone trying to get something that's

213
00:11:56,040 --> 00:12:00,079
Speaker 2: mine because money also want to be cautious. Nowadays, the

214
00:12:00,080 --> 00:12:05,440
Speaker 2: biggest target is PII. It's called Personal identifiable information. That's

215
00:12:05,480 --> 00:12:08,680
Speaker 2: the biggest target. Is someone trying to find out from

216
00:12:08,679 --> 00:12:11,160
Speaker 2: me my first name, last name, data, birth, first name,

217
00:12:11,240 --> 00:12:14,240
Speaker 2: last name data, birth, social security? Are there is that?

218
00:12:14,400 --> 00:12:17,319
Speaker 2: And if someone is trying to get that or any

219
00:12:17,400 --> 00:12:19,920
Speaker 2: other and even just first name, last name, data birth,

220
00:12:20,120 --> 00:12:22,920
Speaker 2: like if they're not asking for social still be paranoid.

221
00:12:23,120 --> 00:12:26,319
Speaker 2: Is someone trying to get my username and my password?

222
00:12:26,520 --> 00:12:30,800
Speaker 2: Anytime you get emails requesting that type of information, you

223
00:12:30,880 --> 00:12:34,760
Speaker 2: need to pause, take a breath, and be very very

224
00:12:34,840 --> 00:12:37,520
Speaker 2: very very cautious. What's the source of the email? You

225
00:12:37,600 --> 00:12:42,080
Speaker 2: pick up the phone and call the Amazon or Facebook

226
00:12:42,200 --> 00:12:45,520
Speaker 2: or whoever and verify, Hey, did you send me this email?

227
00:12:45,679 --> 00:12:49,040
Speaker 2: Like is my account at risk of being That's how

228
00:12:49,080 --> 00:12:52,120
Speaker 2: you have to handle that, because that's what those criminals

229
00:12:52,160 --> 00:12:54,720
Speaker 2: are opportunistic. It's like parking a bunch of cars on

230
00:12:54,760 --> 00:12:57,559
Speaker 2: the street. Happens in the neighborhoods all over the world,

231
00:12:57,600 --> 00:13:00,599
Speaker 2: even fancy ones. Criminals will walk back asked and just

232
00:13:00,679 --> 00:13:03,520
Speaker 2: tried door handles. Which car they're gonna rob first? The

233
00:13:03,520 --> 00:13:06,920
Speaker 2: one where the cars unlocked. They are opportunistic, so the

234
00:13:06,960 --> 00:13:08,760
Speaker 2: easiest target is the one that gets hit.

235
00:13:08,920 --> 00:13:09,240
Speaker 3: Wow.

236
00:13:09,280 --> 00:13:12,920
Speaker 2: And because of the volume of that, you know, it's

237
00:13:12,960 --> 00:13:16,680
Speaker 2: no longer you know Billy, Bob or or Nikky in

238
00:13:16,720 --> 00:13:20,840
Speaker 2: his grandmother's basement playing around on the internet doing some scams.

239
00:13:20,880 --> 00:13:24,800
Speaker 2: That's not what it is anymore. It is fundamental, well

240
00:13:25,960 --> 00:13:33,199
Speaker 2: funded and resourced criminal organizations that literally have office buildings.

241
00:13:33,440 --> 00:13:38,480
Speaker 2: They go to campuses to recruit smart computer science kids

242
00:13:39,160 --> 00:13:43,880
Speaker 2: to come into their criminal organization and create ransomware, create viruses,

243
00:13:43,960 --> 00:13:48,200
Speaker 2: and craft these sting operations, et cetera. So that's what

244
00:13:48,240 --> 00:13:50,560
Speaker 2: you're going against these people. It's no longer you know

245
00:13:50,720 --> 00:13:54,440
Speaker 2: Susie in the basement. It is now an organization coming

246
00:13:54,480 --> 00:13:57,840
Speaker 2: after you. So you gotta bear back. And one of

247
00:13:57,880 --> 00:14:01,000
Speaker 2: the known things with scams, it's all they tried to

248
00:14:01,679 --> 00:14:04,040
Speaker 2: impose a sense of urgency. You got to do this

249
00:14:04,160 --> 00:14:08,240
Speaker 2: right now, right anytime you see that, feel that either

250
00:14:08,320 --> 00:14:09,080
Speaker 2: that or they.

251
00:14:09,000 --> 00:14:12,960
Speaker 1: Threaten you with an ultimate penalty if you don't respond.

252
00:14:13,280 --> 00:14:15,280
Speaker 1: You know, and I will tell you this. I'm talking

253
00:14:15,320 --> 00:14:21,120
Speaker 1: to Gregory Richardson AI expert, cybersecurity expert, a man who

254
00:14:21,200 --> 00:14:24,240
Speaker 1: loves his job, I'm just telling you it's a level

255
00:14:24,280 --> 00:14:26,560
Speaker 1: of passion. How did you And we're going to get

256
00:14:26,560 --> 00:14:28,920
Speaker 1: into the AI in the next break, but how did

257
00:14:28,960 --> 00:14:30,720
Speaker 1: you know this was for you? Like, I have a

258
00:14:30,720 --> 00:14:34,840
Speaker 1: degree in mathematics. My minus associate is in sociology. When

259
00:14:34,840 --> 00:14:37,880
Speaker 1: I graduate from college, I started out in computers. I

260
00:14:37,920 --> 00:14:41,800
Speaker 1: love the logic. How did you know from a state

261
00:14:41,840 --> 00:14:45,600
Speaker 1: of passion that this is where you knew your career

262
00:14:45,640 --> 00:14:47,880
Speaker 1: and your life would be gregory.

263
00:14:50,440 --> 00:14:54,360
Speaker 2: It's a very very interesting story. I am in college.

264
00:14:54,680 --> 00:14:56,720
Speaker 2: I left at a fairly young age. I was just

265
00:14:56,720 --> 00:15:00,000
Speaker 2: just turning sixteen, late part of my sixteen year old

266
00:15:00,200 --> 00:15:02,960
Speaker 2: that phrase when I left the Caribbean island that I

267
00:15:03,000 --> 00:15:04,840
Speaker 2: grew up on and my parents and all of my

268
00:15:04,880 --> 00:15:07,400
Speaker 2: family are from, and we moved. Well, I was sent

269
00:15:07,560 --> 00:15:10,200
Speaker 2: actually to the US, the middle of the US, to

270
00:15:10,320 --> 00:15:14,160
Speaker 2: the Midwest, to college. Kind of stupid, you know kids

271
00:15:14,160 --> 00:15:16,040
Speaker 2: are when they're stupid, think they know it all, et cetera.

272
00:15:16,360 --> 00:15:20,200
Speaker 2: But my major initially was civil engineering. People told me

273
00:15:20,240 --> 00:15:22,640
Speaker 2: a good job is you know, civil engineering, You'll build

274
00:15:22,720 --> 00:15:26,480
Speaker 2: roads and buildings for governments and just good job security. Now,

275
00:15:26,760 --> 00:15:30,920
Speaker 2: while that's my major, I am in my dorm room

276
00:15:30,960 --> 00:15:33,840
Speaker 2: and this is the early eighties, right, So like there

277
00:15:33,880 --> 00:15:36,920
Speaker 2: is no Internet yet, there are no computer stores. Yet

278
00:15:37,160 --> 00:15:42,520
Speaker 2: I'm in my dorm room building computers from scratch and

279
00:15:42,680 --> 00:15:48,800
Speaker 2: selling them on campus to students, and I'm literally investing

280
00:15:48,960 --> 00:15:51,240
Speaker 2: all of my That was but the joy that I had.

281
00:15:51,360 --> 00:15:54,720
Speaker 2: I hated my classes. I hated every and after about

282
00:15:54,800 --> 00:15:58,360
Speaker 2: literally I switched my major from from civil engineering to

283
00:15:58,400 --> 00:16:00,960
Speaker 2: electrical engineering. Then I switched to the math, then I

284
00:16:00,960 --> 00:16:02,840
Speaker 2: switched it to bits. Like I was all over. I

285
00:16:02,920 --> 00:16:03,400
Speaker 2: was stupid.

286
00:16:03,400 --> 00:16:06,200
Speaker 1: I was dumb with no, no, no, no, you were me, Gregory.

287
00:16:06,280 --> 00:16:10,200
Speaker 1: I started out the civil engineering, then I went to accounting,

288
00:16:10,560 --> 00:16:13,320
Speaker 1: then I went to chemical engineering, and then I wind

289
00:16:13,400 --> 00:16:16,760
Speaker 1: up getting my degree in mathematics. But I hold that thought, Gregory,

290
00:16:16,760 --> 00:16:19,400
Speaker 1: you are fantastic. Please don't go anywhere. We're talking to

291
00:16:19,440 --> 00:16:26,120
Speaker 1: Gregory richardson cybersecurity expert AI AI Genius something called me

292
00:16:26,120 --> 00:16:29,200
Speaker 1: AI genius because he is on fire right now. And

293
00:16:29,240 --> 00:16:31,560
Speaker 1: if you want to hear more, especially how he's using

294
00:16:31,960 --> 00:16:37,480
Speaker 1: and teaching nonprofit organizations in churches how to use AI

295
00:16:37,600 --> 00:16:40,120
Speaker 1: to spread the gospel, don't go nowhere. You listen to

296
00:16:40,160 --> 00:16:43,360
Speaker 1: Money Making Conversation master Class, and I'm your host with

297
00:16:43,480 --> 00:16:44,400
Speaker 1: Sean McDonald.

298
00:16:44,880 --> 00:16:48,040
Speaker 4: Please don't go anywhere. We'll be right back with more

299
00:16:48,120 --> 00:16:58,520
Speaker 4: money Making Conversations Masterclass. Welcome back to the Money Making

300
00:16:58,600 --> 00:17:04,280
Speaker 4: Conversations Masterclass, hosted by Rashaan McDonald. Money Making Conversations Masterclass

301
00:17:04,359 --> 00:17:08,960
Speaker 4: continues online at Moneymakingconversations dot com and follow money Making

302
00:17:09,000 --> 00:17:13,879
Speaker 4: Conversations Masterclass on Facebook, Twitter, and Instagram.

303
00:17:14,200 --> 00:17:17,680
Speaker 1: Gregory, the word passion is an understatement when I hear

304
00:17:17,760 --> 00:17:22,240
Speaker 1: you talk about cybersecurity. And I say that because I'm

305
00:17:22,240 --> 00:17:24,600
Speaker 1: gonna tell you some When I log on my computer,

306
00:17:25,200 --> 00:17:29,679
Speaker 1: when I click emails, I'm nervous and I'm not very comfortable.

307
00:17:30,040 --> 00:17:32,520
Speaker 1: And that's the world we live in. It's a world

308
00:17:32,760 --> 00:17:37,920
Speaker 1: of fast moving activity. But are you uncomfortable as I

309
00:17:37,960 --> 00:17:42,160
Speaker 1: am as we navigate through this new world of technology

310
00:17:42,200 --> 00:17:44,560
Speaker 1: that's being put forth out there that we have to

311
00:17:44,680 --> 00:17:46,400
Speaker 1: use in order to participate.

312
00:17:48,119 --> 00:17:51,280
Speaker 2: Great, great, great, great question, and I'll answer it with

313
00:17:51,359 --> 00:17:53,040
Speaker 2: a little, a tiny bit of background.

314
00:17:53,080 --> 00:17:53,439
Speaker 3: Okay.

315
00:17:53,600 --> 00:17:59,040
Speaker 2: I am a staunch believer in the concept that we

316
00:17:59,119 --> 00:18:02,720
Speaker 2: find in the Bible in Jeremiah chapter one, somewhere around

317
00:18:02,800 --> 00:18:07,560
Speaker 2: verse four or so, and that's Jeremiah being spoken to

318
00:18:07,640 --> 00:18:11,600
Speaker 2: by God. Jeremiah's a prophet and God tells him, before

319
00:18:11,800 --> 00:18:17,760
Speaker 2: you were formed in your mother's womb, I intimately knew

320
00:18:17,760 --> 00:18:22,000
Speaker 2: what you were made for. I firmly believe in that.

321
00:18:22,000 --> 00:18:24,199
Speaker 2: That's why, jokingly, I was dumb as a bag of

322
00:18:24,200 --> 00:18:30,080
Speaker 2: bricks because when I was twelve years old in high school,

323
00:18:30,920 --> 00:18:32,919
Speaker 2: a bunch of friends and I had a little public

324
00:18:32,960 --> 00:18:36,160
Speaker 2: access TV program where we taught adults how to use computers.

325
00:18:36,560 --> 00:18:38,920
Speaker 2: So it was very obvious to me that my passion

326
00:18:39,119 --> 00:18:42,639
Speaker 2: was technology from twelve years old, and when I go

327
00:18:42,680 --> 00:18:45,840
Speaker 2: to college, I'm doing everything but technology. It took two

328
00:18:45,880 --> 00:18:48,440
Speaker 2: and a half three years into college for a friend

329
00:18:48,520 --> 00:18:50,560
Speaker 2: happened to be a chaplain to walk he was on

330
00:18:50,640 --> 00:18:52,479
Speaker 2: my floor, to walk up to me and say, dude,

331
00:18:52,560 --> 00:18:55,200
Speaker 2: why are you not why are you not studying computers.

332
00:18:55,240 --> 00:18:57,800
Speaker 2: I'm like, it's not I'm electrical engineering or a business major.

333
00:18:57,920 --> 00:19:01,080
Speaker 2: He said, dude, all you're doing all day is sitting

334
00:19:01,119 --> 00:19:04,760
Speaker 2: here behind this computer doing computer stuff. Is obvious your

335
00:19:04,800 --> 00:19:07,320
Speaker 2: passion And that was kind of like an AHA moment

336
00:19:07,400 --> 00:19:11,920
Speaker 2: for me, and that is what fuels not only my success,

337
00:19:12,280 --> 00:19:16,760
Speaker 2: but my ability. And I say this to entrepreneurs, business

338
00:19:16,800 --> 00:19:20,000
Speaker 2: people people you know early in career or late in

339
00:19:20,080 --> 00:19:24,240
Speaker 2: career making changes if you can do what you're passionate about.

340
00:19:24,920 --> 00:19:26,800
Speaker 2: I'm not guarantee you and you're gonna make a million

341
00:19:26,840 --> 00:19:30,040
Speaker 2: dollars or whatever whatever. You might maybe not, but at

342
00:19:30,160 --> 00:19:35,160
Speaker 2: least you'll be able to function and be effective through

343
00:19:35,680 --> 00:19:39,199
Speaker 2: all adversities. There's been many rough periods in time. I

344
00:19:39,240 --> 00:19:43,880
Speaker 2: remember twenty thirty years ago, cybersecurity was a terrible industry

345
00:19:43,880 --> 00:19:45,879
Speaker 2: to be in. No one wasn't hiring. I'd go and

346
00:19:46,000 --> 00:19:49,040
Speaker 2: visit banks and businesses, especially in the Caribbean where I

347
00:19:49,040 --> 00:19:51,840
Speaker 2: was living at that time. Hey, do your cybersecurity. No,

348
00:19:51,960 --> 00:19:55,119
Speaker 2: we don't need no cybersecurity. My it guy handles that.

349
00:19:55,640 --> 00:19:58,600
Speaker 2: It took Target getting hacked home depot right there in

350
00:19:58,600 --> 00:20:02,480
Speaker 2: Atlanta getting hacked. Suddenly the owners to be, oh my god,

351
00:20:02,520 --> 00:20:04,679
Speaker 2: we need to do something about cybersecurity, and then all

352
00:20:04,720 --> 00:20:07,080
Speaker 2: of a sudden it boomed. But prior to that, no

353
00:20:07,119 --> 00:20:12,440
Speaker 2: one cared about cybersecurity. What kept me passionate and invested

354
00:20:12,440 --> 00:20:15,360
Speaker 2: in cybersecurity was the fact that I was doing what

355
00:20:15,480 --> 00:20:21,000
Speaker 2: I was in. I believe genuinely cybersecurity and technology was

356
00:20:21,080 --> 00:20:24,760
Speaker 2: stitched into my DNA by the person created me. So

357
00:20:24,800 --> 00:20:27,480
Speaker 2: I'm just doing what's natural, and that's what you hear

358
00:20:27,520 --> 00:20:30,040
Speaker 2: in my voice. That's what you hear in the passion

359
00:20:30,200 --> 00:20:33,560
Speaker 2: when I answer questions. You can I tell my employees, coworkers,

360
00:20:33,560 --> 00:20:35,800
Speaker 2: people that work for me, whatever. All the time. You

361
00:20:35,840 --> 00:20:38,560
Speaker 2: wake me up at three in the morning, bro, I'll

362
00:20:38,560 --> 00:20:40,359
Speaker 2: answer questions. Problem.

363
00:20:40,800 --> 00:20:43,040
Speaker 3: I love it. I love it. I love it.

364
00:20:43,240 --> 00:20:46,760
Speaker 1: Hey Gregory, No, let's transition to AI because I don't

365
00:20:46,760 --> 00:20:48,760
Speaker 1: want to say I'm going to talk about something and

366
00:20:48,800 --> 00:20:50,640
Speaker 1: we don't talk about it. I think they're to frustrate

367
00:20:50,720 --> 00:20:55,040
Speaker 1: our listeners or AI. What concerns you about AI when

368
00:20:55,080 --> 00:20:59,360
Speaker 1: it comes to securities and current concerns and privacy? Because

369
00:20:59,520 --> 00:21:03,440
Speaker 1: we just over your AI is being thrown into everybody's conversation.

370
00:21:03,560 --> 00:21:07,679
Speaker 1: Everybody knows the two letters AI artificial intelligence. But it

371
00:21:07,840 --> 00:21:11,639
Speaker 1: is security concerns, it is private concerns. What do you think.

372
00:21:13,200 --> 00:21:15,719
Speaker 2: More? There are definitely security and privacy. As a matter

373
00:21:15,760 --> 00:21:18,680
Speaker 2: of fact, is it okay if I give your your

374
00:21:18,720 --> 00:21:20,600
Speaker 2: listeners a way for them to reach me? Can I

375
00:21:20,640 --> 00:21:21,880
Speaker 2: just quickly plug a website?

376
00:21:21,960 --> 00:21:24,440
Speaker 1: Absolutely do your thing, because I think that is important

377
00:21:24,480 --> 00:21:27,880
Speaker 1: that people know how to reach you exactly.

378
00:21:27,880 --> 00:21:31,280
Speaker 2: Anyone that wants to reach me connect LinkedIn social media,

379
00:21:31,320 --> 00:21:34,440
Speaker 2: all of it by my book, whatever, all of it.

380
00:21:34,800 --> 00:21:38,360
Speaker 2: Every way to get in touch with me is at www.

381
00:21:38,600 --> 00:21:41,240
Speaker 2: My name Gregory G R E g O R Y

382
00:21:41,680 --> 00:21:46,120
Speaker 2: Richardson r I C hr DSN dot AI, Gregory Richardson

383
00:21:46,320 --> 00:21:49,280
Speaker 2: dot AI. You can get me there, get everything there.

384
00:21:49,520 --> 00:21:52,879
Speaker 2: I answer messages. So that's out of the way. Let's continue.

385
00:21:53,800 --> 00:21:57,200
Speaker 2: Are there security concerns with AI one hundred percent? But

386
00:21:57,320 --> 00:22:00,439
Speaker 2: it's more than that, And candidly, I think the opportunity

387
00:22:00,640 --> 00:22:04,600
Speaker 2: is bigger than the concerns in AI. I often used

388
00:22:04,840 --> 00:22:10,240
Speaker 2: the analog of the Gutenberg printing Press fourteen hundred fifteen hundred.

389
00:22:10,280 --> 00:22:13,840
Speaker 2: Somewhere around the fifteenth century, Gutenberg invented. He was a jeweler,

390
00:22:14,240 --> 00:22:17,040
Speaker 2: worked with gold stuff and working with defined things in gold,

391
00:22:17,040 --> 00:22:19,600
Speaker 2: he created this thing called the printing press. And the

392
00:22:19,640 --> 00:22:23,159
Speaker 2: first thing they started printing was gossip rags and you know,

393
00:22:23,280 --> 00:22:27,359
Speaker 2: like descriptions of let's call them lurid tales, you know,

394
00:22:27,440 --> 00:22:30,800
Speaker 2: so basically written out pornography. That was the first things

395
00:22:30,880 --> 00:22:33,200
Speaker 2: the press was used for. Because even then they knew

396
00:22:33,240 --> 00:22:35,879
Speaker 2: if I print something sallacious, people are gonna gobble it up.

397
00:22:36,160 --> 00:22:38,399
Speaker 2: If I say you a woman found in bed with

398
00:22:38,480 --> 00:22:42,000
Speaker 2: a cow, people they're gonna buy that newspaper. So the

399
00:22:42,160 --> 00:22:45,320
Speaker 2: church in particular was very concerned, Oh my god, this

400
00:22:45,320 --> 00:22:48,960
Speaker 2: thing is evil, and lots of the industries were very

401
00:22:49,040 --> 00:22:51,120
Speaker 2: this thing is not good, like we shouldn't be doing this.

402
00:22:51,560 --> 00:22:54,159
Speaker 2: Then suddenly, now keep in mind, if you look at

403
00:22:54,160 --> 00:22:57,720
Speaker 2: a historical timeline, Europe and most of the world right

404
00:22:57,760 --> 00:23:00,639
Speaker 2: now is smack dab in the middle of the Dark Ages.

405
00:23:01,400 --> 00:23:05,760
Speaker 2: Black plague is killing millions of people across Europe. That's

406
00:23:05,800 --> 00:23:10,240
Speaker 2: when this happened. Fast forward Finally, some monk somewhere says,

407
00:23:10,280 --> 00:23:11,720
Speaker 2: you know what I thinking, I'm gonna use the printing

408
00:23:11,760 --> 00:23:15,120
Speaker 2: press for these Bible books that we've been writing out

409
00:23:15,119 --> 00:23:17,119
Speaker 2: by hand. And it takes us twenty years, We're going

410
00:23:17,160 --> 00:23:20,960
Speaker 2: to print some Fast forward fifty five, zero years later,

411
00:23:21,200 --> 00:23:23,280
Speaker 2: the world has been in the Dark Ages for more

412
00:23:23,320 --> 00:23:27,359
Speaker 2: than a thousand years. Fast forward fifty years later. The

413
00:23:27,440 --> 00:23:31,639
Speaker 2: printing press and the publication of Bibles, which to this

414
00:23:31,720 --> 00:23:35,919
Speaker 2: day is still the top selling book, single handedly hold

415
00:23:36,000 --> 00:23:40,040
Speaker 2: the entire globe out of the Dark Ages because someone

416
00:23:40,400 --> 00:23:43,840
Speaker 2: leaned into the new technology, the printing press, and used

417
00:23:43,880 --> 00:23:47,120
Speaker 2: it for something good. That's what AI is today. Yes,

418
00:23:47,200 --> 00:23:49,919
Speaker 2: can it do bad things? Hundred percent? Could it potentially,

419
00:23:50,400 --> 00:23:53,679
Speaker 2: you know, yes, all of the risks are true, but

420
00:23:53,800 --> 00:23:57,639
Speaker 2: I think the reward and the potential and the upside

421
00:23:58,040 --> 00:24:03,959
Speaker 2: is exponentially better. Especially I focus on nonprofits because of

422
00:24:04,000 --> 00:24:07,440
Speaker 2: my Christian worldview, but I also help. As I've said already,

423
00:24:07,640 --> 00:24:12,000
Speaker 2: large large, large businesses and organizations and businesses from small

424
00:24:12,080 --> 00:24:15,360
Speaker 2: to large right now are starting to leverage. And that's

425
00:24:15,400 --> 00:24:18,000
Speaker 2: what my book is about. The six technology levers. How

426
00:24:18,040 --> 00:24:21,560
Speaker 2: to find the million dollar problem in your business and

427
00:24:21,600 --> 00:24:26,120
Speaker 2: make a million dollar solution using AI. That's what it's about.

428
00:24:26,720 --> 00:24:30,440
Speaker 2: Businesses are leveraging AI today, and we are in what

429
00:24:30,680 --> 00:24:34,119
Speaker 2: I call the age of the ephemeral app. You're going

430
00:24:34,200 --> 00:24:37,239
Speaker 2: to be able to build an app now without one

431
00:24:37,320 --> 00:24:39,680
Speaker 2: hundred thousand dollars of investment. You're going to be able

432
00:24:39,680 --> 00:24:41,680
Speaker 2: to go to an AI and say, hey, I need

433
00:24:41,720 --> 00:24:44,440
Speaker 2: an app that helps my son. And I literally did

434
00:24:44,440 --> 00:24:47,639
Speaker 2: this with my daughter. That helps my daughter prepare for

435
00:24:48,160 --> 00:24:52,919
Speaker 2: this semester of advanced mathematics. She's sixteen years old. It generated,

436
00:24:53,359 --> 00:24:56,399
Speaker 2: I gave it all of the documents, the syllabus, the

437
00:24:56,560 --> 00:24:59,920
Speaker 2: course materials from her math class. It generated weekly QUI

438
00:25:00,359 --> 00:25:03,360
Speaker 2: for me in an app form that I can give

439
00:25:03,400 --> 00:25:05,600
Speaker 2: to my daughter or anyone else and say, hey, get

440
00:25:05,600 --> 00:25:07,240
Speaker 2: the crack in. This is how you're going to prepare.

441
00:25:07,880 --> 00:25:11,720
Speaker 2: That's aye we're in. So as a business person, when

442
00:25:11,760 --> 00:25:14,119
Speaker 2: you start looking, or as an entrepreneur, you got an

443
00:25:14,119 --> 00:25:16,919
Speaker 2: idea of rummaging around in your head. You no longer

444
00:25:17,040 --> 00:25:19,680
Speaker 2: need to go and find a coder. You can simply

445
00:25:19,800 --> 00:25:22,480
Speaker 2: jump on these AI tools. And that's what my book

446
00:25:22,520 --> 00:25:25,119
Speaker 2: walks you through and say, hey, this is the idea

447
00:25:25,200 --> 00:25:29,919
Speaker 2: I have. I've helped doctors, I've helped lawyers, I've helped forests,

448
00:25:30,240 --> 00:25:35,440
Speaker 2: I've helped accountants build custom apps in days that have

449
00:25:35,600 --> 00:25:39,520
Speaker 2: completely changed the landscape of their business. Give you a

450
00:25:39,640 --> 00:25:43,920
Speaker 2: if I may give you a simple, simple example. A

451
00:25:44,000 --> 00:25:47,320
Speaker 2: business had a car rental fleet of cars forty cars deep,

452
00:25:47,400 --> 00:25:51,080
Speaker 2: going great, but they started saying this car rental thing

453
00:25:51,160 --> 00:25:52,840
Speaker 2: might not be for me. I looked at their business

454
00:25:52,840 --> 00:25:56,280
Speaker 2: and said, you know what you're missing. You're losing a

455
00:25:56,280 --> 00:25:58,480
Speaker 2: lot of money on tolls and Texas. Every time you

456
00:25:58,560 --> 00:26:00,720
Speaker 2: touch the roads here, they're charging tolls. If you have

457
00:26:00,760 --> 00:26:03,119
Speaker 2: a car rental fleet, if you're not tracking the tolls properly,

458
00:26:03,160 --> 00:26:06,440
Speaker 2: you use it. I help them build an app that

459
00:26:06,640 --> 00:26:10,160
Speaker 2: tracks the tolls and then builds the customer for it directly.

460
00:26:10,720 --> 00:26:13,240
Speaker 2: They ended up taking that app that they built for

461
00:26:13,359 --> 00:26:16,400
Speaker 2: their car and they sold it leased it twenty five

462
00:26:16,520 --> 00:26:19,959
Speaker 2: thirty forty dollars a month to every other car rental

463
00:26:20,000 --> 00:26:23,880
Speaker 2: agency in the area. That app ended up making them

464
00:26:23,920 --> 00:26:28,560
Speaker 2: a bigger income stream than the car rental agency itself. Wow,

465
00:26:29,200 --> 00:26:32,520
Speaker 2: that's the age we're in today. Your idea that's bubbling

466
00:26:32,600 --> 00:26:35,480
Speaker 2: around in your head might very well be a bigger

467
00:26:35,600 --> 00:26:38,560
Speaker 2: income stream than the thing that you're doing. You might

468
00:26:38,600 --> 00:26:41,560
Speaker 2: be a baker, but the idea you have for tracking

469
00:26:41,640 --> 00:26:45,320
Speaker 2: recipes for all your cookies and distributing someone might pay

470
00:26:45,359 --> 00:26:48,160
Speaker 2: you fifteen twenty dollars a month to access your database

471
00:26:48,320 --> 00:26:50,960
Speaker 2: of recipes, but they might not buy twenty dollars or

472
00:26:50,960 --> 00:26:54,119
Speaker 2: cookies every month. That's the age we are in today.

473
00:26:54,160 --> 00:26:57,119
Speaker 2: So when I look at it in that scope, AI

474
00:26:57,400 --> 00:27:01,680
Speaker 2: is significantly a bigger opportun tunity than it is a risk.

475
00:27:02,080 --> 00:27:06,840
Speaker 2: Now are there risks? Cybersecurity risks, privacy risks, data leakage risks.

476
00:27:07,000 --> 00:27:09,639
Speaker 2: Could China be spying or anywhere else be spying on

477
00:27:09,800 --> 00:27:14,040
Speaker 2: us and trying to reap private information about us through AI?

478
00:27:14,160 --> 00:27:17,439
Speaker 2: One hundred percent sad part of that, though, is Facebook's

479
00:27:17,440 --> 00:27:21,600
Speaker 2: doing it too. Google's doing it too. You kind of

480
00:27:21,640 --> 00:27:22,640
Speaker 2: can't avoid it.

481
00:27:22,840 --> 00:27:26,480
Speaker 3: Right, I tell you what, Gregory, very entertaining.

482
00:27:27,480 --> 00:27:29,600
Speaker 1: I know that I want to get more into the AI,

483
00:27:29,920 --> 00:27:33,240
Speaker 1: especially in the nonprofit, especially in the church and spreading

484
00:27:33,280 --> 00:27:37,320
Speaker 1: the gospel conversation. Can I invite you back on the show?

485
00:27:38,280 --> 00:27:42,280
Speaker 2: Of course you would be honored, honored. I'll add this

486
00:27:42,680 --> 00:27:47,320
Speaker 2: the reason I personally focus on churches because where churches

487
00:27:47,320 --> 00:27:50,320
Speaker 2: and nonprofits, they usually don't have the budgets of the

488
00:27:50,320 --> 00:27:53,720
Speaker 2: big banks and the businesses, so they need the efficiency

489
00:27:53,760 --> 00:27:56,119
Speaker 2: that AI can bring even more.

490
00:27:56,240 --> 00:27:58,600
Speaker 1: So give me a riskite, give me a website before

491
00:27:58,600 --> 00:28:00,880
Speaker 1: we go, Give me a website because to reach out to.

492
00:28:00,840 --> 00:28:08,119
Speaker 2: You, Www. Gregory Richardson dot AI. Gregory Richardson dot AI,

493
00:28:08,320 --> 00:28:11,040
Speaker 2: really appreciate this opportunity to be here and talk to

494
00:28:11,080 --> 00:28:14,320
Speaker 2: your audience. Man, this has been a ton of fun.

495
00:28:14,640 --> 00:28:17,200
Speaker 1: You're awesome. You're awesome, and Gregor, we will talk soon.

496
00:28:17,320 --> 00:28:17,960
Speaker 1: I appreciate you.

497
00:28:18,000 --> 00:28:18,200
Speaker 3: Man.

498
00:28:18,280 --> 00:28:20,119
Speaker 1: Thank you for filling out that be a guest for him,

499
00:28:20,280 --> 00:28:22,320
Speaker 1: because that's how he submitted the information.

500
00:28:22,440 --> 00:28:23,400
Speaker 3: I contacted him.

501
00:28:23,480 --> 00:28:26,160
Speaker 1: He's on the show and guess what, the information he's

502
00:28:26,200 --> 00:28:28,639
Speaker 1: provided on my show has been amazing.

503
00:28:28,680 --> 00:28:31,160
Speaker 3: Thank you. For coming on Money Making Conversation Masterclass.

504
00:28:31,880 --> 00:28:33,280
Speaker 2: Appreciate you, sir, have a great one.

505
00:28:33,400 --> 00:28:36,159
Speaker 1: We talked soon. Don't go nowhere. We'll be back with

506
00:28:36,200 --> 00:28:39,560
Speaker 1: more of Money Making Conversation Masterclass. This is Rushan McDonald.

507
00:28:39,600 --> 00:28:40,280
Speaker 1: I'm your host.

508
00:28:41,000 --> 00:28:44,240
Speaker 5: This has been another edition of Money Making Conversation Masterclass

509
00:28:44,320 --> 00:28:47,400
Speaker 5: hosted by me, Rashawn McDonald. Thank you to our guests

510
00:28:47,480 --> 00:28:50,840
Speaker 5: on the show today and thank you listening to audience now.

511
00:28:50,920 --> 00:28:52,880
Speaker 5: If you want to listen to any episode I want

512
00:28:52,920 --> 00:28:56,760
Speaker 5: to be a guest on the show, visit Moneymakingconversations dot com.

513
00:28:56,880 --> 00:29:00,520
Speaker 5: Our social media handle is money Making Conversation. Join us

514
00:29:00,560 --> 00:29:03,120
Speaker 5: next week and remember to always leave with your gifts.

515
00:29:03,440 --> 00:29:04,040
Speaker 3: Keep winning.

516
00:33:52,280 --> 00:33:52,440
Speaker 2: Hi.

517
00:33:52,520 --> 00:33:55,200
Speaker 6: I am Rashan McDonald, a host of weekly Money Making

518
00:33:55,240 --> 00:33:59,080
Speaker 6: Conversation Masterclass show. The interviews and information that this show

519
00:33:59,120 --> 00:34:02,160
Speaker 6: provides off for everyone. It's time to start reading other

520
00:34:02,200 --> 00:34:06,040
Speaker 6: people's success stories and start living your own. This week

521
00:34:06,200 --> 00:34:10,759
Speaker 6: I will interview Gregory Richardson, he uses artificial intelligence technology

522
00:34:11,000 --> 00:34:14,360
Speaker 6: to help spread the gospel. Then I'm talking to Heather Younger.

523
00:34:14,680 --> 00:34:18,160
Speaker 6: She will tell you how to navigate workplace fears, job security,

524
00:34:18,400 --> 00:34:22,480
Speaker 6: performance anxiety, and change. You could only hear these interviews

525
00:34:22,600 --> 00:34:26,000
Speaker 6: on the Money Making Conversation Masterclass Show, Keep winning.

526
00:34:26,200 --> 00:34:26,719
Speaker 3: There you go,