1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg P M L 6 00:00:20,840 --> 00:00:32,160 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. Well, 7 00:00:32,200 --> 00:00:34,120 Speaker 1: you know, Lisa, when I think of slam dunk, I 8 00:00:34,120 --> 00:00:36,599 Speaker 1: think really only a basketball, but I guess you can 9 00:00:36,640 --> 00:00:39,559 Speaker 1: apply it to a variety of different business techniques. And 10 00:00:39,640 --> 00:00:42,720 Speaker 1: here to help us understand sort of the convergence of 11 00:00:43,440 --> 00:00:45,239 Speaker 1: what you learn on the court and what you can 12 00:00:45,320 --> 00:00:49,320 Speaker 1: learn in the office is Byron Scott. Thank you very 13 00:00:49,360 --> 00:00:52,080 Speaker 1: much for being here. He is an NBC studio analyst, 14 00:00:52,080 --> 00:00:54,800 Speaker 1: but of course he is known as h. Yes, I 15 00:00:54,880 --> 00:00:57,680 Speaker 1: was gonna was gonna give the whole record, you know, 16 00:00:57,760 --> 00:01:01,560 Speaker 1: I was gonna tell everybody about his what three NBA champions, 17 00:01:02,040 --> 00:01:07,039 Speaker 1: uh NBA All Rookie first Team, also coach to the 18 00:01:07,160 --> 00:01:09,640 Speaker 1: l A. I mean, just you're thank you for being here. 19 00:01:09,680 --> 00:01:11,720 Speaker 1: Thank you guys for having me all right. And in 20 00:01:11,760 --> 00:01:13,920 Speaker 1: the in the other corner is Charles Norris. He is 21 00:01:13,959 --> 00:01:16,959 Speaker 1: the chairman of Fresh Pet and he is the former 22 00:01:17,000 --> 00:01:21,800 Speaker 1: chief executive of McKesson Water and deer Park Spring Water. Charles, 23 00:01:21,880 --> 00:01:25,319 Speaker 1: thanks for being here. Okay, so this is the obvious question, 24 00:01:25,360 --> 00:01:30,360 Speaker 1: what do you two gentlemen have in common? We were 25 00:01:30,440 --> 00:01:34,600 Speaker 1: just talking about that, even though we don't look alike, 26 00:01:35,080 --> 00:01:37,720 Speaker 1: we have a lot in common. We're separated by at 27 00:01:37,800 --> 00:01:43,240 Speaker 1: least a couple inches, a little page, a little bit 28 00:01:43,280 --> 00:01:47,200 Speaker 1: of hair, but uh, we have a lot in common. 29 00:01:47,400 --> 00:01:51,280 Speaker 1: And uh it was remarkable as we got to know 30 00:01:51,320 --> 00:01:54,080 Speaker 1: each other and spend time together how much we had 31 00:01:54,120 --> 00:01:58,040 Speaker 1: in common. And we learned it because Byron invited me 32 00:01:58,080 --> 00:02:00,280 Speaker 1: to work out with him at the Laker facility when 33 00:02:00,280 --> 00:02:03,280 Speaker 1: he was coaching, and he invited me to go into 34 00:02:03,720 --> 00:02:08,800 Speaker 1: coaches meetings, film sessions with players, watch practices. And I 35 00:02:08,880 --> 00:02:12,280 Speaker 1: in turn invited Byron to come to bank meetings and 36 00:02:12,360 --> 00:02:16,080 Speaker 1: board meetings and really get involved in the businesses I 37 00:02:16,160 --> 00:02:20,320 Speaker 1: was in. And we then started talking about the techniques 38 00:02:20,360 --> 00:02:24,359 Speaker 1: we used in leadership, and lo and behold we found 39 00:02:24,400 --> 00:02:27,960 Speaker 1: that they were very similar. Well and Byron, so you 40 00:02:28,000 --> 00:02:31,679 Speaker 1: coached the Sacramento Kings, New Jersey Nets, New Orleans Hornets. 41 00:02:31,680 --> 00:02:35,320 Speaker 1: I could go on and on what one skill do 42 00:02:35,400 --> 00:02:40,119 Speaker 1: you think sort of connects both the corporate world and 43 00:02:40,440 --> 00:02:43,760 Speaker 1: the bull Well, I think Lisa, from a leadership standpoint 44 00:02:44,200 --> 00:02:47,960 Speaker 1: in Charlie's taught me this, you know, in various ways, 45 00:02:48,000 --> 00:02:49,800 Speaker 1: and I was doing it and really didn't know I 46 00:02:49,840 --> 00:02:52,040 Speaker 1: was doing it. But you really got to get to 47 00:02:52,120 --> 00:02:54,520 Speaker 1: the heads and hearts of the people that you're that 48 00:02:54,639 --> 00:02:57,080 Speaker 1: you're that you're dealing with and basketball that is the 49 00:02:57,120 --> 00:02:59,639 Speaker 1: players you know in the business world. In the corporate world, 50 00:02:59,680 --> 00:03:02,919 Speaker 1: he's deal with his employees. So it just taught me that, 51 00:03:03,280 --> 00:03:04,639 Speaker 1: you know, you have to ask that second and that 52 00:03:04,720 --> 00:03:06,960 Speaker 1: third question because one thing that you want them to 53 00:03:07,000 --> 00:03:09,200 Speaker 1: know is that you're very interested in the things that 54 00:03:09,240 --> 00:03:11,399 Speaker 1: they want to bring to the table. And we both 55 00:03:11,440 --> 00:03:13,960 Speaker 1: believe that you have to be able to get delegate 56 00:03:14,600 --> 00:03:17,000 Speaker 1: authority you know two people. In my case it was 57 00:03:17,040 --> 00:03:20,440 Speaker 1: assistant coaches um to give them the right to go 58 00:03:20,480 --> 00:03:22,200 Speaker 1: out and do their job to the best of their 59 00:03:22,200 --> 00:03:24,799 Speaker 1: ability and if they failed, you know, then you kind 60 00:03:24,800 --> 00:03:26,640 Speaker 1: of jump in. But you want to have them have 61 00:03:26,720 --> 00:03:29,120 Speaker 1: that sense of knowing that you know everything they do 62 00:03:29,200 --> 00:03:31,440 Speaker 1: counts as well. And I think that's something that Charlie 63 00:03:31,480 --> 00:03:34,239 Speaker 1: and I both had in common coming from our backgrounds. 64 00:03:34,600 --> 00:03:37,360 Speaker 1: So you co authored a book that was just really 65 00:03:37,400 --> 00:03:40,840 Speaker 1: slam dunk success. Uh. Was published by Center Street on 66 00:03:40,920 --> 00:03:45,280 Speaker 1: April's yesterday. Correct, I just came out what was the 67 00:03:45,320 --> 00:03:47,880 Speaker 1: process of writing it? Like? I mean, Byron, you were 68 00:03:47,880 --> 00:03:52,480 Speaker 1: telling me about the death death like workouts that you 69 00:03:52,520 --> 00:03:54,680 Speaker 1: guys engaged on, and but what was the process of 70 00:03:54,680 --> 00:03:57,040 Speaker 1: writing the book? Like? It was great to be honest with. 71 00:03:57,120 --> 00:03:59,440 Speaker 1: I mean, once we decided that this is something that 72 00:03:59,520 --> 00:04:01,960 Speaker 1: we could really do, and a lot of that was 73 00:04:02,040 --> 00:04:04,960 Speaker 1: because of Charlie's wife, Peggy, who said who used to 74 00:04:04,960 --> 00:04:07,520 Speaker 1: be an editor herself, and said she really thought we 75 00:04:07,600 --> 00:04:10,000 Speaker 1: had something here. Uh. Then we started taking a little 76 00:04:10,000 --> 00:04:12,520 Speaker 1: bit more serious and we contacted her friend of Charlie's name, 77 00:04:12,560 --> 00:04:15,400 Speaker 1: Todd Smith, who took it to a totally different level. 78 00:04:15,840 --> 00:04:18,480 Speaker 1: But in the process of doing it, our writer John Work, 79 00:04:18,480 --> 00:04:20,320 Speaker 1: who was a great writer who did a great job 80 00:04:20,320 --> 00:04:22,479 Speaker 1: of really capturing I think the essence of what this 81 00:04:22,520 --> 00:04:25,480 Speaker 1: book is all about. Uh, And we both speak in 82 00:04:25,520 --> 00:04:28,040 Speaker 1: the first person, and he was really able to kind 83 00:04:28,040 --> 00:04:31,400 Speaker 1: of capture everything that we wanted to really apply to 84 00:04:31,680 --> 00:04:33,800 Speaker 1: to the to the leadership roles and the and the 85 00:04:33,839 --> 00:04:35,479 Speaker 1: other chapters that we have in the book that we 86 00:04:35,520 --> 00:04:38,160 Speaker 1: thought would be very interesting to a lot of our readers. 87 00:04:38,880 --> 00:04:41,960 Speaker 1: If I can add something to that. Byron and I 88 00:04:42,000 --> 00:04:46,440 Speaker 1: sat down and we listed about fifteen leadership qualities that 89 00:04:46,760 --> 00:04:51,640 Speaker 1: we had in common. And when John Worke uh interviewed us, 90 00:04:51,720 --> 00:04:55,920 Speaker 1: he interviewed us thinking specifically about each of those leadership 91 00:04:56,000 --> 00:05:00,520 Speaker 1: qualities as a separate chapter. Now, Charles, I want to 92 00:05:00,560 --> 00:05:02,000 Speaker 1: just put it to you that you know and it's 93 00:05:02,080 --> 00:05:08,479 Speaker 1: your success at McKesson water, Uh, also do your park 94 00:05:08,640 --> 00:05:12,480 Speaker 1: and also fresh Pet. How do you contrast that with 95 00:05:12,600 --> 00:05:14,760 Speaker 1: what perhaps goes on in the court, which is, if 96 00:05:14,800 --> 00:05:17,880 Speaker 1: you don't perform on the court or as a coach, 97 00:05:18,720 --> 00:05:22,400 Speaker 1: your time there is pretty limited. But there are many 98 00:05:22,520 --> 00:05:26,839 Speaker 1: cases in which we see companies run by chief executives 99 00:05:27,120 --> 00:05:33,280 Speaker 1: who get huge pay packets, Uh, and their measurement is, well, 100 00:05:33,360 --> 00:05:36,559 Speaker 1: let's just put it subjective because they might be tied 101 00:05:36,600 --> 00:05:39,640 Speaker 1: to stock performance and that doesn't necessarily I mean, just 102 00:05:39,680 --> 00:05:41,719 Speaker 1: because the stock goes up doesn't mean you're a great CEO. 103 00:05:42,120 --> 00:05:45,520 Speaker 1: How do you sort of have the same incentives for 104 00:05:45,800 --> 00:05:49,799 Speaker 1: figures on the court and figures in the boardroom. Well, Uh, 105 00:05:50,000 --> 00:05:56,120 Speaker 1: we both have to win. And how you define winning obviously, Uh, 106 00:05:56,120 --> 00:06:02,960 Speaker 1: in sport, it's who who gets as points. In business, 107 00:06:03,480 --> 00:06:08,480 Speaker 1: it who gains market share. And uh, it's a very 108 00:06:08,480 --> 00:06:13,320 Speaker 1: easy scorecard if if you're every year you have a budget, 109 00:06:13,960 --> 00:06:17,680 Speaker 1: and that budget is around sales profit, but it's also 110 00:06:18,279 --> 00:06:21,960 Speaker 1: around how you're growing versus your competition in the market. 111 00:06:22,839 --> 00:06:29,200 Speaker 1: And it's honestly surprisingly as competitive in business as it 112 00:06:29,279 --> 00:06:33,799 Speaker 1: is in sport. To that end, Byron, you talked about 113 00:06:33,839 --> 00:06:36,560 Speaker 1: how each chapter in the book is a different leadership quality. 114 00:06:36,640 --> 00:06:39,720 Speaker 1: Is there one leadership quality that stands out to you 115 00:06:39,880 --> 00:06:43,880 Speaker 1: is the most counterintuitive? Well, for me, again on a 116 00:06:43,880 --> 00:06:47,719 Speaker 1: basketball court, I've always been a guy is believe that 117 00:06:47,720 --> 00:06:49,160 Speaker 1: if you're going to lead her, if you're gonna be 118 00:06:49,160 --> 00:06:51,360 Speaker 1: a leader, you got to lead by example. You know. 119 00:06:51,400 --> 00:06:54,000 Speaker 1: So if if I'm going to lead by example, I 120 00:06:54,000 --> 00:06:55,720 Speaker 1: want to be at the gym early, you know, I 121 00:06:55,760 --> 00:06:57,159 Speaker 1: want to I want the players to come in and 122 00:06:57,200 --> 00:06:59,359 Speaker 1: see me on the trap me you'll see me in 123 00:06:59,360 --> 00:07:01,919 Speaker 1: the weight room and be able to also go on 124 00:07:01,920 --> 00:07:03,800 Speaker 1: the floor and be able to show them certain things 125 00:07:03,839 --> 00:07:06,320 Speaker 1: that I want to be done. Because it's it's kind 126 00:07:06,320 --> 00:07:07,720 Speaker 1: of hard as a coach when you say I want 127 00:07:07,720 --> 00:07:09,159 Speaker 1: you to do it this way, but you can't show 128 00:07:09,200 --> 00:07:11,040 Speaker 1: them how to do it. You know, you can tell them, 129 00:07:11,040 --> 00:07:13,600 Speaker 1: but you can't show them. So I still really believe 130 00:07:13,640 --> 00:07:16,000 Speaker 1: that's one of the most important things, especially in my field, 131 00:07:16,600 --> 00:07:19,640 Speaker 1: is being able to go out there and participate and 132 00:07:19,640 --> 00:07:22,360 Speaker 1: to show the guys exactly what you mean, uh. And 133 00:07:22,400 --> 00:07:24,400 Speaker 1: I think a lot of guys really enjoy that when 134 00:07:24,400 --> 00:07:26,240 Speaker 1: a coach can get out there and kind of play 135 00:07:26,240 --> 00:07:28,280 Speaker 1: around a little bit with them as well. Charlie, what 136 00:07:28,320 --> 00:07:32,600 Speaker 1: about in the corporate boardroom, Well, what I find counter 137 00:07:32,840 --> 00:07:40,720 Speaker 1: intuitive is celebrating risk and learning from failure. Uh. To 138 00:07:40,840 --> 00:07:44,400 Speaker 1: be successful in business and to be successful in life, 139 00:07:44,800 --> 00:07:48,080 Speaker 1: you've got to get outside your box. And I look 140 00:07:48,160 --> 00:07:51,920 Speaker 1: for people uh to surround me who are willing to 141 00:07:52,000 --> 00:07:57,920 Speaker 1: take risk. And if we don't encourage that, ultimately, people 142 00:07:57,920 --> 00:08:01,200 Speaker 1: are going to get nervous if they're um uh, they 143 00:08:01,240 --> 00:08:05,040 Speaker 1: take a risk, and then they're punished for having failed 144 00:08:05,080 --> 00:08:08,760 Speaker 1: in the risk they take. So the counterintuitive aspect of 145 00:08:08,880 --> 00:08:12,240 Speaker 1: that is to celebrate the fact that you're willing to 146 00:08:12,280 --> 00:08:16,600 Speaker 1: go out and take calculated risk. Thank you so much 147 00:08:16,640 --> 00:08:19,080 Speaker 1: both of you for joining us today. Truly a pleasure. 148 00:08:19,480 --> 00:08:23,720 Speaker 1: Byron Scott is NBA studio analyst for ESPN and longtime 149 00:08:24,280 --> 00:08:27,480 Speaker 1: NBA champion and coach of a number of the top 150 00:08:27,640 --> 00:08:30,920 Speaker 1: NBA teams, as well as Charlie Norris, who is the 151 00:08:31,040 --> 00:08:34,680 Speaker 1: chairman of Fresh Pet also the former head of McKesson 152 00:08:34,800 --> 00:08:39,320 Speaker 1: Water and deer Park Spring Water. Their book is currently 153 00:08:39,440 --> 00:08:55,560 Speaker 1: on the bookstand Slam Dunk Success. Loneliness is a killer. 154 00:08:55,640 --> 00:08:57,920 Speaker 1: As Pim was saying, a lot of older people are 155 00:08:57,960 --> 00:09:02,160 Speaker 1: increasingly living alone and this is an increasing problem for many. 156 00:09:02,600 --> 00:09:05,840 Speaker 1: Doors Schooler might have the answer Door School or as 157 00:09:05,880 --> 00:09:08,880 Speaker 1: chief executive Officer of Intuition Robotics, which is an Israeli 158 00:09:09,240 --> 00:09:14,080 Speaker 1: start up focused on creating electronic companions for people who 159 00:09:14,080 --> 00:09:18,000 Speaker 1: perhaps live alone. Door thank you so much for joining us. Uh. 160 00:09:18,200 --> 00:09:21,319 Speaker 1: First of all, just let's start with what is ellie 161 00:09:21,400 --> 00:09:25,280 Speaker 1: q Hi Lisa, thanks for having me on. Yeah. Eli 162 00:09:25,360 --> 00:09:28,880 Speaker 1: Que is an active aging companion. She's a social robot 163 00:09:28,920 --> 00:09:32,040 Speaker 1: that actually um lives in the home of the older adult, 164 00:09:32,120 --> 00:09:34,760 Speaker 1: usually in the living room, and it helps them be 165 00:09:34,880 --> 00:09:37,800 Speaker 1: more connected and engage. It helps them to simplify the 166 00:09:37,800 --> 00:09:40,280 Speaker 1: way to communicate with their family by bridging the digital 167 00:09:40,360 --> 00:09:42,360 Speaker 1: to five, and it helps them meet their own goal 168 00:09:42,440 --> 00:09:46,400 Speaker 1: towards an active aging lifestyle by helping them implotting them 169 00:09:46,400 --> 00:09:49,360 Speaker 1: to go for a walk or take their medication on time, 170 00:09:49,720 --> 00:09:52,839 Speaker 1: learn new things every day and so on. Okay, and 171 00:09:52,840 --> 00:09:55,160 Speaker 1: and the door. Just in the interest of full disclosure, 172 00:09:55,160 --> 00:09:56,520 Speaker 1: I just want to say that you've raised what a 173 00:09:56,520 --> 00:09:59,320 Speaker 1: total of six million dollars from investors that include the 174 00:10:00,240 --> 00:10:03,400 Speaker 1: Rumba maker, I Robot, as well as Terra Venture partners, 175 00:10:03,760 --> 00:10:07,640 Speaker 1: uh man, Ive Mobility, and Bloomberg Beta. Just in terms 176 00:10:07,640 --> 00:10:11,120 Speaker 1: of fair disclosure there uh and also on the crowdfunding 177 00:10:11,160 --> 00:10:15,240 Speaker 1: platform our crowd. What are you using the money for? 178 00:10:15,400 --> 00:10:18,600 Speaker 1: What's the next step? Yeah, the next step is really 179 00:10:18,600 --> 00:10:22,440 Speaker 1: funding research and development and also manufacturing UM and user 180 00:10:22,480 --> 00:10:24,520 Speaker 1: trials as we plan to bring this product to market 181 00:10:24,640 --> 00:10:27,400 Speaker 1: UM hopefully within the next twelve months. Because I was 182 00:10:27,400 --> 00:10:30,320 Speaker 1: watching your video that you have online in which you 183 00:10:30,440 --> 00:10:35,280 Speaker 1: have an example of this device and it's paired with 184 00:10:35,440 --> 00:10:38,280 Speaker 1: some kind of tablet. I guess that's where the software runs. 185 00:10:38,320 --> 00:10:40,959 Speaker 1: Maybe you could describe, how did you It almost looks 186 00:10:41,000 --> 00:10:42,880 Speaker 1: like a I don't know, I don't know how to 187 00:10:42,880 --> 00:10:49,520 Speaker 1: describe it, Almost like a multi stacked flower vase. That's 188 00:10:49,559 --> 00:10:51,320 Speaker 1: one way of putting it. Yeah, there are two components 189 00:10:51,360 --> 00:10:54,559 Speaker 1: to the solution. One part is a screen or removable 190 00:10:54,600 --> 00:10:57,480 Speaker 1: tablet that we provide to our users. UM. And the 191 00:10:57,559 --> 00:11:00,880 Speaker 1: main part is l Q, which is the the social robot. 192 00:11:00,920 --> 00:11:04,040 Speaker 1: And she does look kind of like, UM, I don't know, 193 00:11:04,080 --> 00:11:07,120 Speaker 1: a new uh physical presence in the home. She's very 194 00:11:07,240 --> 00:11:10,120 Speaker 1: beautifully designed by eve Bihar. But it's it sits on 195 00:11:10,160 --> 00:11:11,800 Speaker 1: a table. I mean, this is not something This is 196 00:11:11,840 --> 00:11:14,440 Speaker 1: not a life size thing. This is something that's that 197 00:11:14,480 --> 00:11:17,440 Speaker 1: sits on a table. Correct, she sits on the table. 198 00:11:17,480 --> 00:11:20,480 Speaker 1: But she does have automatronic capability, so she we use 199 00:11:20,520 --> 00:11:23,080 Speaker 1: body language essentially, which we are humans are kind of 200 00:11:23,120 --> 00:11:25,720 Speaker 1: programmed to understand. So she will look to the side, 201 00:11:25,760 --> 00:11:28,760 Speaker 1: you look up, she'd lean forward to make a point. UM. 202 00:11:28,760 --> 00:11:31,320 Speaker 1: When we connect with families and lets they send a 203 00:11:31,360 --> 00:11:34,280 Speaker 1: picture over a we make it super simple for them 204 00:11:34,320 --> 00:11:36,440 Speaker 1: to do that and for the older adults do it, 205 00:11:36,679 --> 00:11:39,360 Speaker 1: but they also elak. You will turn look at the picture, 206 00:11:39,800 --> 00:11:42,319 Speaker 1: have a comment about it after understanding what's in it, 207 00:11:42,559 --> 00:11:44,959 Speaker 1: and then try to solicit the older adult to respond 208 00:11:44,960 --> 00:11:48,319 Speaker 1: and be part of the conversation on Facebook messenger. Is 209 00:11:48,400 --> 00:11:52,280 Speaker 1: this um? Have you done psychological studies to see whether 210 00:11:52,559 --> 00:11:57,720 Speaker 1: a robotic presence is equal or nearly equal to really 211 00:11:57,760 --> 00:12:02,080 Speaker 1: having another person there A right, it's definitely not the same. 212 00:12:02,120 --> 00:12:04,120 Speaker 1: I mean, look, we would all like to be closer 213 00:12:04,160 --> 00:12:05,880 Speaker 1: to our parents, and we'd all like to visit them 214 00:12:05,880 --> 00:12:09,040 Speaker 1: all the time, but the fact of life is that 215 00:12:09,160 --> 00:12:11,080 Speaker 1: we live further and further away from them, and even 216 00:12:11,120 --> 00:12:13,040 Speaker 1: if we live close, we can't be with them all 217 00:12:13,080 --> 00:12:15,959 Speaker 1: the time. So we're not trying to replace a meaningful 218 00:12:16,000 --> 00:12:19,320 Speaker 1: interaction between humans UM with some kind of a robot. 219 00:12:19,600 --> 00:12:21,280 Speaker 1: What we are trying to do is bring to better 220 00:12:21,360 --> 00:12:25,560 Speaker 1: technology that will help bring people closer together, overcome the 221 00:12:25,640 --> 00:12:29,839 Speaker 1: digital divide, help older and all UM consume music and 222 00:12:30,160 --> 00:12:33,680 Speaker 1: ted talks and other interesting things on the on that 223 00:12:33,720 --> 00:12:36,080 Speaker 1: are available to them, and also be somewhat of a 224 00:12:36,200 --> 00:12:39,080 Speaker 1: nudge or an assistance or coach if you will, UM 225 00:12:39,160 --> 00:12:41,400 Speaker 1: to help convince them to go for walks and to 226 00:12:41,440 --> 00:12:43,600 Speaker 1: take their medications and time and so on. So it's 227 00:12:43,640 --> 00:12:47,000 Speaker 1: not replacements, for sure, but it is better than being alone. 228 00:12:47,040 --> 00:12:50,760 Speaker 1: And let's remember that of older adults live at home, 229 00:12:51,200 --> 00:12:55,840 Speaker 1: about sixty of themselves professed that they're lonely and socially isolated, 230 00:12:56,160 --> 00:12:59,640 Speaker 1: about fifty percent the TVs their main companion, and about 231 00:12:59,760 --> 00:13:03,400 Speaker 1: for percent talk to one person or less week. So 232 00:13:03,400 --> 00:13:05,480 Speaker 1: so it is what it is, and we're trying to 233 00:13:05,520 --> 00:13:08,360 Speaker 1: do what we can UM to make the situation better 234 00:13:08,400 --> 00:13:11,840 Speaker 1: and help people listful or live. Have you started selling 235 00:13:11,960 --> 00:13:15,320 Speaker 1: l a Q We have not started, telling an she's 236 00:13:15,400 --> 00:13:18,959 Speaker 1: now starting trials in the San Francisco Bay area. UM, 237 00:13:19,000 --> 00:13:21,880 Speaker 1: and you're right said they're good demonstrations and we're starting 238 00:13:21,880 --> 00:13:24,080 Speaker 1: a pilot program, but we still need to learn how 239 00:13:24,120 --> 00:13:26,880 Speaker 1: people react to the product if if it's you know, 240 00:13:26,920 --> 00:13:29,720 Speaker 1: the usabilities the way we hope it will be, and 241 00:13:30,000 --> 00:13:31,920 Speaker 1: we have to do those things before we start selling 242 00:13:31,960 --> 00:13:37,319 Speaker 1: the product. So are you are a serial entrepreneur? Correct? Correct? 243 00:13:37,720 --> 00:13:40,280 Speaker 1: Maybe just give people a little bit of your background 244 00:13:40,520 --> 00:13:45,040 Speaker 1: and why did you choose this as your next project? Sure? Yes, 245 00:13:45,120 --> 00:13:48,359 Speaker 1: I did my first startup straight after leaving military intelligence 246 00:13:48,360 --> 00:13:51,360 Speaker 1: in the Israeli Army at aged three, and this is 247 00:13:51,400 --> 00:13:55,000 Speaker 1: now my fifth venture venture. The last one was actually 248 00:13:55,000 --> 00:13:58,439 Speaker 1: inside a large company UM which is Office Alucan now 249 00:13:58,480 --> 00:14:02,880 Speaker 1: part of Nokia, and my co founders and I decided 250 00:14:02,920 --> 00:14:04,760 Speaker 1: if we really want to do something with high social 251 00:14:04,800 --> 00:14:08,000 Speaker 1: impact this time around and touch people's lives, and you 252 00:14:08,000 --> 00:14:10,440 Speaker 1: know that they are now the rec result proven by 253 00:14:10,480 --> 00:14:13,640 Speaker 1: the Center of Disease Control of loneliness and social isolation 254 00:14:13,760 --> 00:14:18,120 Speaker 1: where um it actually creates accelerated dimensiona depression and even mortality. 255 00:14:18,600 --> 00:14:20,640 Speaker 1: But the good news is that there are other studies 256 00:14:20,640 --> 00:14:23,640 Speaker 1: that show that when older guls practice active aging, when 257 00:14:23,680 --> 00:14:26,320 Speaker 1: they're actually more active and engaged, they push out they 258 00:14:26,360 --> 00:14:29,160 Speaker 1: mentioned for seven percent of the time, they heal faster 259 00:14:29,200 --> 00:14:32,000 Speaker 1: from illness and disease twenty of the time, and they're 260 00:14:32,040 --> 00:14:35,760 Speaker 1: just happier. So we really are trying to to harness 261 00:14:35,800 --> 00:14:39,200 Speaker 1: the latest technology in artificial intelligence and machine learning and 262 00:14:39,360 --> 00:14:43,440 Speaker 1: voice platforms and robotics to try and bring as many 263 00:14:43,440 --> 00:14:46,040 Speaker 1: older adults with that check in category as possible. I 264 00:14:46,040 --> 00:14:48,000 Speaker 1: want to thank you very much for joining us and 265 00:14:48,360 --> 00:14:51,920 Speaker 1: sharing your thoughts and telling us about this invention. Door 266 00:14:52,160 --> 00:14:56,560 Speaker 1: Schooler is the chief executive officer of Intuition Robotics. They're 267 00:14:56,600 --> 00:14:59,520 Speaker 1: based in Israel. You can follow him on Twitter at 268 00:14:59,680 --> 00:15:02,680 Speaker 1: door d O R school or s k U L 269 00:15:02,760 --> 00:15:13,120 Speaker 1: e E R. We want to take a moment to 270 00:15:13,200 --> 00:15:16,240 Speaker 1: let you know about something new from Bloomberg. Starting right now, 271 00:15:16,280 --> 00:15:18,440 Speaker 1: you can use our I O s app or our 272 00:15:18,480 --> 00:15:21,520 Speaker 1: new Google Chrome extension to scan any news story on 273 00:15:21,640 --> 00:15:25,040 Speaker 1: any website, instantly revealing relevant news and market data from 274 00:15:25,040 --> 00:15:27,880 Speaker 1: Bloomberg and other sources related to the companies and people 275 00:15:27,920 --> 00:15:30,600 Speaker 1: you're reading about. So no matter where you're reading the news, 276 00:15:30,640 --> 00:15:33,080 Speaker 1: you can bring the power of Bloomberg's news and data 277 00:15:33,120 --> 00:15:36,040 Speaker 1: with you. It's pretty amazing. Download our i O s 278 00:15:36,080 --> 00:15:38,280 Speaker 1: app or search for the Bloomberg extension on the Chrome 279 00:15:38,320 --> 00:15:41,240 Speaker 1: Store to try it out. Learn more at Bloomberg dot com, 280 00:15:41,240 --> 00:15:53,480 Speaker 1: slash lens. Well more people are struggling to pay their 281 00:15:53,520 --> 00:15:56,760 Speaker 1: credit card bills. That is what we learned yesterday after 282 00:15:56,840 --> 00:16:00,920 Speaker 1: Capital One Financial and Discover Financial Services reported earnings, showing 283 00:16:01,160 --> 00:16:04,480 Speaker 1: that there were a larger number of credit card charge 284 00:16:04,520 --> 00:16:08,920 Speaker 1: offs in their card units, capital One in particular seeing 285 00:16:09,160 --> 00:16:12,520 Speaker 1: a twenty nine percent increase in the provisions for losses 286 00:16:12,800 --> 00:16:14,880 Speaker 1: in the credit card unit. To make some sense of 287 00:16:14,880 --> 00:16:17,120 Speaker 1: this and to figure out what the broader implications are, 288 00:16:17,160 --> 00:16:20,000 Speaker 1: I want to bring in Ryan O'Connell, senior analysts focusing 289 00:16:20,000 --> 00:16:22,040 Speaker 1: on financials for Bloomberg Intelligence. Thank you so much for 290 00:16:22,120 --> 00:16:24,520 Speaker 1: joining us, Ryan, So what was your biggest takeaway from 291 00:16:24,520 --> 00:16:27,240 Speaker 1: these results, which were really quite disappointing. Well, good morning list, 292 00:16:27,320 --> 00:16:30,760 Speaker 1: Good morning Pim. This is really a pretty ugly earnings report, 293 00:16:30,800 --> 00:16:32,920 Speaker 1: and I think at least with regard to Capital One, 294 00:16:32,960 --> 00:16:34,840 Speaker 1: we've kind of hit a bit of an inflection point 295 00:16:35,560 --> 00:16:38,320 Speaker 1: several reasons. First of all, it just the magnitude of 296 00:16:38,320 --> 00:16:40,960 Speaker 1: the jump in provisions. If you look at their US 297 00:16:41,040 --> 00:16:44,360 Speaker 1: credit card business, which their biggest business, their provisions actually 298 00:16:44,400 --> 00:16:48,640 Speaker 1: went up about sev seven. Oh that's over here, just 299 00:16:48,680 --> 00:16:50,560 Speaker 1: to give some sort of perspective of the dollar amount, 300 00:16:50,840 --> 00:16:53,040 Speaker 1: about one point seven billion dollars. So that means the 301 00:16:53,080 --> 00:16:55,800 Speaker 1: amount of money that they're sitting aside to cover potential 302 00:16:55,840 --> 00:16:58,120 Speaker 1: losses in their card unit has now gone to one 303 00:16:58,120 --> 00:17:01,360 Speaker 1: point seven billion dollars. Right, And that's so that's your year. 304 00:17:01,400 --> 00:17:04,840 Speaker 1: You're absolutely right about the that's it's the quarter, so 305 00:17:04,960 --> 00:17:07,200 Speaker 1: you're a bear. And the other thing is their charge 306 00:17:07,240 --> 00:17:09,840 Speaker 1: off ring went from about four percent to five percent. 307 00:17:10,680 --> 00:17:13,399 Speaker 1: And what they also said is folks, you should expect 308 00:17:13,400 --> 00:17:15,520 Speaker 1: five percent for the rest of the year. So this 309 00:17:15,600 --> 00:17:18,000 Speaker 1: isn't just a one quarter of blip. This is a change. 310 00:17:19,000 --> 00:17:21,639 Speaker 1: Is did they give any details as to what is 311 00:17:21,720 --> 00:17:25,280 Speaker 1: behind this? Right? So what I thought was also very 312 00:17:25,320 --> 00:17:28,359 Speaker 1: interesting about this is that cap one is basically changing 313 00:17:28,359 --> 00:17:31,679 Speaker 1: its tune up until now. The reason for you know, 314 00:17:31,960 --> 00:17:34,880 Speaker 1: more bad loans, more chargeots is a lot of loan growth, 315 00:17:34,960 --> 00:17:38,119 Speaker 1: which is true, and the loans are getting older this time. 316 00:17:38,240 --> 00:17:40,320 Speaker 1: What they said is we've changed our view and the 317 00:17:40,359 --> 00:17:44,520 Speaker 1: way consumers are behaving. What does that mean cons change 318 00:17:44,560 --> 00:17:47,919 Speaker 1: their view? I mean it's just because, uh, you know, 319 00:17:47,920 --> 00:17:50,439 Speaker 1: because I mean, if someone doesn't repay a loan, it 320 00:17:50,480 --> 00:17:52,600 Speaker 1: can be because there's something wrong with the way the 321 00:17:52,640 --> 00:17:55,399 Speaker 1: loan was put together in the first place, or the 322 00:17:55,400 --> 00:17:57,320 Speaker 1: person should not have been allowed other company was not 323 00:17:57,359 --> 00:17:59,800 Speaker 1: should have been allowed to actually take out the loan. 324 00:18:00,080 --> 00:18:02,440 Speaker 1: They given credit cards to people that they shouldn't be 325 00:18:02,480 --> 00:18:05,480 Speaker 1: giving them too. Well, that's a great question, I guess. 326 00:18:05,720 --> 00:18:07,959 Speaker 1: Let's let's let's refer to it this way. They are 327 00:18:08,000 --> 00:18:11,439 Speaker 1: referring to higher levels of consumer debt. And again we 328 00:18:11,520 --> 00:18:13,200 Speaker 1: have to bear in mind that they're really talking about 329 00:18:13,200 --> 00:18:16,240 Speaker 1: their subprime customers, right, because that's about a third of 330 00:18:16,280 --> 00:18:19,520 Speaker 1: their business. As to whether or not they made bad loans, 331 00:18:19,840 --> 00:18:23,040 Speaker 1: let's just look at the results. Well, I think though, 332 00:18:23,080 --> 00:18:25,400 Speaker 1: it's important to note if they're saying now, if they're 333 00:18:25,480 --> 00:18:27,159 Speaker 1: changing their tune and they're now saying that there's a 334 00:18:27,240 --> 00:18:31,040 Speaker 1: change in consumer behavior, this is pretty fuzzy. Does this 335 00:18:31,080 --> 00:18:33,360 Speaker 1: mean they really don't have a handle on why there 336 00:18:33,359 --> 00:18:37,440 Speaker 1: has been such an unexpectedly big increase in charge offs. Well, 337 00:18:37,440 --> 00:18:40,040 Speaker 1: what I would say is that they sounded a lot 338 00:18:40,080 --> 00:18:42,520 Speaker 1: more cautious on this call than they have in the 339 00:18:42,600 --> 00:18:46,720 Speaker 1: last several calls, and I think they just see higher 340 00:18:46,760 --> 00:18:50,280 Speaker 1: levels and debtedness. Uh. In hindsight, perhaps they got a 341 00:18:50,320 --> 00:18:52,560 Speaker 1: little bit aggressive on the loan growth, but they've been 342 00:18:52,560 --> 00:18:56,840 Speaker 1: tamping that down. So is Capital One alone in an 343 00:18:56,880 --> 00:19:00,800 Speaker 1: isolated case in this pretty substantial increase in net charge offs? 344 00:19:00,800 --> 00:19:03,679 Speaker 1: I mean, yes, Discover also saw a larger amount of 345 00:19:03,760 --> 00:19:06,560 Speaker 1: charge offs and expected, but still way below Capital One. 346 00:19:07,200 --> 00:19:09,359 Speaker 1: Or does this sort of point to some kind of 347 00:19:09,359 --> 00:19:13,560 Speaker 1: broader weakness in the consumer. Well, uh, we'll have to 348 00:19:13,800 --> 00:19:17,280 Speaker 1: see a Synchronique, which also has a large subprime credit 349 00:19:17,280 --> 00:19:20,320 Speaker 1: card business. They were going to report their earnings on Friday, 350 00:19:20,359 --> 00:19:22,000 Speaker 1: and we'll just have to see how that goes out. 351 00:19:22,000 --> 00:19:25,640 Speaker 1: I'm not judging that to your point, Lisa discovers, Yeah, 352 00:19:25,640 --> 00:19:27,720 Speaker 1: their charge also went up a bit, but it wasn't 353 00:19:27,720 --> 00:19:30,360 Speaker 1: a big deal. And Discover still says that things are 354 00:19:30,359 --> 00:19:32,840 Speaker 1: going pretty much as I expected. Now, again, the big 355 00:19:32,880 --> 00:19:35,320 Speaker 1: difference is Capital One's got about a third of their 356 00:19:35,320 --> 00:19:40,480 Speaker 1: customers and credit cards and subprime and Discover doesn't. Was 357 00:19:40,560 --> 00:19:45,400 Speaker 1: the subprime market a strategic you know position for the bank? 358 00:19:45,400 --> 00:19:47,680 Speaker 1: I mean they say, we want to go after these 359 00:19:47,720 --> 00:19:51,040 Speaker 1: people because this is where we can make the most money, 360 00:19:51,080 --> 00:19:53,159 Speaker 1: even if we do have to do charge offs later on. 361 00:19:53,200 --> 00:19:55,280 Speaker 1: I mean, this can't be something that just happened, right, 362 00:19:55,320 --> 00:19:58,399 Speaker 1: I mean, you don't. It's not like a multi week event. 363 00:19:58,520 --> 00:20:02,199 Speaker 1: This is something that's taken a happen. Capital One has 364 00:20:02,240 --> 00:20:05,040 Speaker 1: been in the subprime credit card business and in the 365 00:20:05,040 --> 00:20:08,600 Speaker 1: subprime auto business for a long time now. To be 366 00:20:08,680 --> 00:20:12,080 Speaker 1: fair to Capital One, they are still expecting seven to 367 00:20:12,160 --> 00:20:15,720 Speaker 1: eleven percent earning his growth this year, but frankly a 368 00:20:15,760 --> 00:20:18,120 Speaker 1: lot of us from cost cuts, and also they're doing 369 00:20:18,160 --> 00:20:21,000 Speaker 1: better in their commercial bank because the energy loan crisis 370 00:20:21,040 --> 00:20:25,280 Speaker 1: is sort of passing. So um, first, I've got two questions. First, 371 00:20:26,000 --> 00:20:29,720 Speaker 1: did we see weakness also among some prime credit card 372 00:20:29,720 --> 00:20:34,120 Speaker 1: customers or is the pain entirely isolated to the subprime customer? Well, 373 00:20:34,200 --> 00:20:38,160 Speaker 1: I think basically we're really talking about the subprime customer here, Lisa, 374 00:20:38,200 --> 00:20:41,760 Speaker 1: because again, if we use Discover or JP Morgan Bank 375 00:20:41,840 --> 00:20:44,800 Speaker 1: of America, they've all had some increases in charge offs, 376 00:20:45,200 --> 00:20:47,680 Speaker 1: but nothing like a hundred basis points okay, and then 377 00:20:47,960 --> 00:20:50,480 Speaker 1: the next point is what about auto loans. Did we 378 00:20:50,520 --> 00:20:54,480 Speaker 1: see the increase in charge offs there too? Actually no 379 00:20:54,880 --> 00:20:57,320 Speaker 1: uh net charge us for the outer loans were flat. 380 00:20:57,480 --> 00:20:59,840 Speaker 1: Your here. You know. One of the things we've also 381 00:21:00,200 --> 00:21:03,879 Speaker 1: trying to track is the correlation between this and what 382 00:21:04,000 --> 00:21:08,200 Speaker 1: happens in the larger economy. Obviously, any prospect of the 383 00:21:08,200 --> 00:21:11,080 Speaker 1: bank say anything about wages or about people being able 384 00:21:11,119 --> 00:21:14,399 Speaker 1: to make more money. Well, again, the tone of the 385 00:21:14,400 --> 00:21:17,680 Speaker 1: commentary was very different. So discover they still see a 386 00:21:17,760 --> 00:21:20,400 Speaker 1: growing economy again they're dealing with and they're still making 387 00:21:20,440 --> 00:21:22,600 Speaker 1: money as you just as you just describe. So maybe 388 00:21:22,600 --> 00:21:24,440 Speaker 1: they're saying, all right, you know, we're willing to take 389 00:21:24,520 --> 00:21:26,240 Speaker 1: this hit. I mean, even though the stock is down 390 00:21:26,280 --> 00:21:29,520 Speaker 1: I think about four percent percent right for three point 391 00:21:29,560 --> 00:21:31,320 Speaker 1: eight percent right now, it's more down more than three 392 00:21:31,520 --> 00:21:34,160 Speaker 1: three dollars a share, they're willing to take that hit 393 00:21:34,200 --> 00:21:37,720 Speaker 1: because they believe that this will you know, they're you 394 00:21:37,920 --> 00:21:39,720 Speaker 1: gonna be able to take this hit and not have 395 00:21:39,800 --> 00:21:43,679 Speaker 1: an effect the bottom line. Uh well, it's certainly infect 396 00:21:43,720 --> 00:21:45,680 Speaker 1: to the bottom line in this quarter. I think their 397 00:21:45,720 --> 00:21:48,200 Speaker 1: expectation is they've been in this businesses for a long time, 398 00:21:48,280 --> 00:21:51,080 Speaker 1: they're gonna ride through different cycles, and again they are 399 00:21:51,200 --> 00:21:53,520 Speaker 1: they are tightening up. Just be clear, they were tightening 400 00:21:53,560 --> 00:21:56,680 Speaker 1: up a loan growth now so they're responding. They are 401 00:21:56,720 --> 00:21:59,600 Speaker 1: responding because I mean down five percent, so it's five 402 00:21:59,640 --> 00:22:01,439 Speaker 1: and a half sense so far this year it's stock 403 00:22:01,480 --> 00:22:04,040 Speaker 1: and just paying at one point nine percent dividend. And 404 00:22:04,080 --> 00:22:06,439 Speaker 1: just to put this into perspective, the total amount of 405 00:22:06,440 --> 00:22:08,919 Speaker 1: credit card debt in the US has exceeded a trillion 406 00:22:08,960 --> 00:22:11,040 Speaker 1: dollars for the first time since the financial crisis, So 407 00:22:11,040 --> 00:22:14,320 Speaker 1: there's a lot of money at stakecare clearly. Well. One 408 00:22:14,359 --> 00:22:16,200 Speaker 1: other thing is that this is the highest level of 409 00:22:16,240 --> 00:22:18,959 Speaker 1: net charge justin about six years for a cup one. Alright, 410 00:22:19,000 --> 00:22:21,000 Speaker 1: Ryan O'Connell, thank you so much for joining us. Ryan 411 00:22:21,040 --> 00:22:24,720 Speaker 1: O'Connell is senior analysts focusing on financials for Bloomberg Intelligence, 412 00:22:24,880 --> 00:22:28,080 Speaker 1: and he joins us in our Bloomberg eleven three oh studio. 413 00:22:34,880 --> 00:22:37,440 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 414 00:22:37,760 --> 00:22:41,679 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts, SoundCloud, 415 00:22:41,800 --> 00:22:45,240 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 416 00:22:45,280 --> 00:22:48,840 Speaker 1: on Twitter at pim Fox. I'm on Twitter at Lisa 417 00:22:48,880 --> 00:22:52,040 Speaker 1: abramoids one before the podcast. You can always catch us 418 00:22:52,040 --> 00:22:53,639 Speaker 1: worldwide on Bloomberg Radio