WEBVTT - IBM's O'Brien on the Watson AI Technology at the US Open(Audio)

0:00:03.360 --> 0:00:06.720
<v Speaker 1>Global business news twenty four hours a day at Bloomberg

0:00:06.800 --> 0:00:09.880
<v Speaker 1>dot com, the Radio plus mobile labs, and on your radio.

0:00:10.160 --> 0:00:14.880
<v Speaker 1>This is a Bloomberg Business Flash Bloomberg World Handquarters. I'm Charlie.

0:00:14.960 --> 0:00:17.240
<v Speaker 1>Hebout forty three minutes to go ahead of the clothes

0:00:17.360 --> 0:00:19.600
<v Speaker 1>on this job's Friday, and we are brought to by

0:00:19.840 --> 0:00:23.919
<v Speaker 1>National Realty Managers of New York City cash Flow real Estate,

0:00:24.000 --> 0:00:29.680
<v Speaker 1>providing you twelve percent annualized returns with immediate monthly distributions.

0:00:30.040 --> 0:00:33.879
<v Speaker 1>See them at n r i A dot net. Now

0:00:33.960 --> 0:00:36.480
<v Speaker 1>let's head right over to the first Word Breaking news

0:00:36.560 --> 0:00:41.320
<v Speaker 1>desk for today's afternoon call, and here's Ed Lalan. Good afternoon, Charlie.

0:00:41.360 --> 0:00:44.240
<v Speaker 1>Manus averages are hired today, with the Dow ups sixty,

0:00:44.479 --> 0:00:48.639
<v Speaker 1>SMP rises eight and NASDAK gains eighteen, small capsticks Hunter

0:00:48.800 --> 0:00:50.879
<v Speaker 1>hired by six, and the US tenure y'ell at one

0:00:50.920 --> 0:00:55.120
<v Speaker 1>point six zero percent. Nine of ten SMP sectors are higher,

0:00:55.200 --> 0:00:59.800
<v Speaker 1>led by gains in utilities, energy and materials, Telecom and

0:01:00.080 --> 0:01:05.560
<v Speaker 1>healthcare lag down, Transports rise thirty, NASDAC, biotex lose seven,

0:01:05.880 --> 0:01:10.480
<v Speaker 1>Utilities up seven, and the VIX down nine percent, leaders

0:01:10.480 --> 0:01:14.039
<v Speaker 1>to the upside in the Dow include Visa, Apple, and Chevron,

0:01:14.360 --> 0:01:17.759
<v Speaker 1>while down Leaders to the downside include Nike and Walmart.

0:01:18.360 --> 0:01:22.840
<v Speaker 1>Milan falls five percent after Clinton proposes curbs for unjustified

0:01:22.920 --> 0:01:26.840
<v Speaker 1>drug price hikes. Carnival loses four percent after being cut

0:01:26.920 --> 0:01:30.880
<v Speaker 1>underweight at Morgan Stanley. Very Assigned gains six percent after

0:01:30.959 --> 0:01:35.200
<v Speaker 1>d o J letter is noncommittal in regards to competition review.

0:01:35.360 --> 0:01:38.560
<v Speaker 1>Lulu Lemon is down nine percent after missing comp sales,

0:01:38.959 --> 0:01:43.840
<v Speaker 1>comp sales and providing weak guidance, and Veriphone falls after

0:01:43.920 --> 0:01:47.320
<v Speaker 1>it cuts year adjusted EPs and revenue views. Live from

0:01:47.319 --> 0:01:49.600
<v Speaker 1>the First Word Breaking news desk, I'm at the lawn Charlie,

0:01:49.640 --> 0:01:51.160
<v Speaker 1>all right, thank you very much. Add them to hear

0:01:51.240 --> 0:01:54.600
<v Speaker 1>live breaking news over your bloom Bread kives squawk ASQ

0:01:54.840 --> 0:01:58.160
<v Speaker 1>you a w K on your terminal. I'm Charlie Pellett.

0:01:58.360 --> 0:02:02.200
<v Speaker 1>I'm that's sub bloom Bread Business Flash. You're listening to

0:02:02.320 --> 0:02:06.080
<v Speaker 1>Taking Stock with Kathleen Hayes and Pim Fox on Bloomberg Radio.

0:02:06.840 --> 0:02:09.440
<v Speaker 1>I'm Kathleen Hayes, Pim Fox on vacation. It's a day

0:02:09.480 --> 0:02:13.600
<v Speaker 1>two of our special live coverage here at the sixteen

0:02:13.919 --> 0:02:16.079
<v Speaker 1>US Tennis Open. If I need to tell you, it's

0:02:16.080 --> 0:02:18.000
<v Speaker 1>the Tennis Open. That just means you need to get

0:02:18.040 --> 0:02:19.880
<v Speaker 1>out here one of these years for a really, really

0:02:19.960 --> 0:02:23.079
<v Speaker 1>terrific event. Now we want to turn to the business

0:02:23.120 --> 0:02:26.000
<v Speaker 1>side of this, the technology side. This is so important

0:02:26.040 --> 0:02:29.320
<v Speaker 1>for the big sponsors that come to this event every year.

0:02:29.320 --> 0:02:33.239
<v Speaker 1>Elizabeth the Brian joins me now program manager for Worldwide

0:02:33.320 --> 0:02:37.520
<v Speaker 1>Sponsorship Strategy and Marketing. We're gonna talk now about the

0:02:37.639 --> 0:02:41.680
<v Speaker 1>interactive technology is cooler every year that IBM has created

0:02:41.680 --> 0:02:44.760
<v Speaker 1>for fans to use at the Open. Elizabeth, welcome, Thank you.

0:02:45.160 --> 0:02:50.880
<v Speaker 1>So what is new this year? There's cognitive courts and

0:02:51.080 --> 0:02:54.440
<v Speaker 1>IBM Watson is getting more involved than ever. So what's

0:02:54.440 --> 0:02:55.840
<v Speaker 1>at the top of the list. What the big news

0:02:55.840 --> 0:02:59.400
<v Speaker 1>really is IBM Watson playing a substantive rollout here UM,

0:02:59.400 --> 0:03:00.960
<v Speaker 1>both for the U. S t A and with the

0:03:00.960 --> 0:03:05.959
<v Speaker 1>fan experience. UM. Watson is UM a technology that's grown

0:03:06.000 --> 0:03:08.240
<v Speaker 1>and had you know, five API s back when it

0:03:08.280 --> 0:03:10.720
<v Speaker 1>won Jeopardy years ago, and now we're over forty a

0:03:10.840 --> 0:03:13.560
<v Speaker 1>p I s UM and those are sort of pieces

0:03:13.560 --> 0:03:16.560
<v Speaker 1>of function that Watson can do. And so Watson is

0:03:16.760 --> 0:03:20.760
<v Speaker 1>looking at all the photographs that the usc A photographers

0:03:20.760 --> 0:03:22.880
<v Speaker 1>are taking on the order of thousands during the tournament

0:03:22.960 --> 0:03:26.960
<v Speaker 1>and identifying players and celebrities and tagging those so that

0:03:27.040 --> 0:03:29.560
<v Speaker 1>the usc IT can actually publish those photographs out for

0:03:29.600 --> 0:03:33.680
<v Speaker 1>all the fans much more quickly, UM and expediently. I

0:03:33.680 --> 0:03:37.840
<v Speaker 1>guess uh. They're also Watson is also UM listening to

0:03:37.880 --> 0:03:40.920
<v Speaker 1>all the video that's being shot, so player interviews, video

0:03:41.120 --> 0:03:43.480
<v Speaker 1>feature segments, all the video on demand that goes on

0:03:43.600 --> 0:03:48.160
<v Speaker 1>to the digital platforms, and UM creating transcripts of those

0:03:48.240 --> 0:03:51.280
<v Speaker 1>videos so again they can post them more quickly. UM.

0:03:51.680 --> 0:03:54.800
<v Speaker 1>And the third thing Watson's doing, and this is something

0:03:54.800 --> 0:03:57.440
<v Speaker 1>that actually the public can watch Watson learned in this

0:03:57.480 --> 0:04:00.560
<v Speaker 1>case is Watson is doing the guest information piece on

0:04:00.600 --> 0:04:03.320
<v Speaker 1>the app. So if you come on site, you can

0:04:03.360 --> 0:04:07.400
<v Speaker 1>ask questions in the guest information piece UM in natural language, saying,

0:04:07.600 --> 0:04:09.360
<v Speaker 1>you know, where can I get a hamburger? And what

0:04:09.480 --> 0:04:12.360
<v Speaker 1>about a drink? You know, so, so it understands the

0:04:12.400 --> 0:04:15.680
<v Speaker 1>context of the second part of the question. In this case, UM,

0:04:15.840 --> 0:04:19.520
<v Speaker 1>and Watson is learning as it UM answers questions, so

0:04:19.520 --> 0:04:22.000
<v Speaker 1>we can answer basic questions. As it starts to get

0:04:22.120 --> 0:04:24.359
<v Speaker 1>questions that it can answer, it will learn the answers

0:04:24.360 --> 0:04:27.760
<v Speaker 1>to those and sort of grow its knowledge basis Okay,

0:04:27.800 --> 0:04:30.480
<v Speaker 1>so big company like IBM, your your brand is very

0:04:30.480 --> 0:04:32.720
<v Speaker 1>well known. You don't really need to show off your brand.

0:04:32.800 --> 0:04:35.040
<v Speaker 1>People even know about Watson. So so what do you

0:04:35.120 --> 0:04:37.640
<v Speaker 1>get out of this? Is this again to to to

0:04:37.720 --> 0:04:41.120
<v Speaker 1>make sure people the kind of uh well healed people

0:04:41.240 --> 0:04:45.000
<v Speaker 1>who are active and engaged and affluent enough to come

0:04:45.000 --> 0:04:47.360
<v Speaker 1>out here and have a great time at the US

0:04:47.440 --> 0:04:50.440
<v Speaker 1>Open are are connected to the brand. Is it because

0:04:50.440 --> 0:04:52.920
<v Speaker 1>you can try things here that you apply to other

0:04:53.000 --> 0:04:56.320
<v Speaker 1>business models. Well, all of the technology we bring here

0:04:56.640 --> 0:04:59.279
<v Speaker 1>is used for businesses around the world. So just one

0:04:59.279 --> 0:05:02.240
<v Speaker 1>example is um, you know Watson seeing and tagging photographs

0:05:02.279 --> 0:05:04.839
<v Speaker 1>I was just talking about. That's the same technology we

0:05:05.000 --> 0:05:07.880
<v Speaker 1>use to teach Watson how to read X rays and

0:05:08.080 --> 0:05:10.400
<v Speaker 1>m r s. It's the same exact technology. So there's

0:05:10.440 --> 0:05:14.160
<v Speaker 1>just a business application for an example. UM. But no,

0:05:14.320 --> 0:05:16.760
<v Speaker 1>it's not just for the fans on site, although it

0:05:16.839 --> 0:05:19.440
<v Speaker 1>does benefit the fans on site. Last year we had

0:05:19.480 --> 0:05:23.279
<v Speaker 1>over sixteen million engagements or people engaged on the digital

0:05:23.320 --> 0:05:26.920
<v Speaker 1>platforms versus in the neighborhood of seven hundred thousand who

0:05:26.920 --> 0:05:29.799
<v Speaker 1>come on site here. So it's really to help expand

0:05:29.800 --> 0:05:32.480
<v Speaker 1>the game of tennis and bring it to people wherever

0:05:32.560 --> 0:05:36.240
<v Speaker 1>they are. Cognitive Court. How smart is this court? Everything

0:05:36.279 --> 0:05:40.919
<v Speaker 1>is getting smarter than Mealizabeth now Cognitive Court is UM.

0:05:40.960 --> 0:05:43.120
<v Speaker 1>It's an area that we have actually the first time

0:05:43.120 --> 0:05:45.680
<v Speaker 1>we have fan activation on site so that people can

0:05:45.720 --> 0:05:49.440
<v Speaker 1>go in and really experience Watson. Um. We get a

0:05:49.440 --> 0:05:52.000
<v Speaker 1>lot of questions saying, where can I touch Watson? Where

0:05:52.000 --> 0:05:54.360
<v Speaker 1>can I play with Watson? And so this is an

0:05:54.400 --> 0:05:57.720
<v Speaker 1>example of sort of fun activations that can stimulate your

0:05:57.760 --> 0:06:01.680
<v Speaker 1>imagination and make you understand what the technology you can do. Okay,

0:06:01.720 --> 0:06:04.360
<v Speaker 1>how about social media and what is I mean that's

0:06:04.360 --> 0:06:06.960
<v Speaker 1>something everybody does. What what is IBM bringing its special

0:06:07.080 --> 0:06:11.000
<v Speaker 1>this year? Uh? Well Watson again, Uh, Watson doing something

0:06:11.080 --> 0:06:13.320
<v Speaker 1>kind of fun in the Cognitive Court and online where

0:06:13.360 --> 0:06:16.600
<v Speaker 1>you can do personality insights, So based on your social profile,

0:06:17.040 --> 0:06:20.200
<v Speaker 1>you can actually see which tennis players are most similar

0:06:20.200 --> 0:06:24.599
<v Speaker 1>to you, um, and uh, which celebrities might face similar

0:06:24.640 --> 0:06:28.160
<v Speaker 1>to view. We're also uh making all of the insights

0:06:28.560 --> 0:06:31.640
<v Speaker 1>from the stats and analytics and live matches share able,

0:06:31.720 --> 0:06:35.000
<v Speaker 1>so you can actually go and grab infographics and stats

0:06:35.040 --> 0:06:37.120
<v Speaker 1>and share them out on your social networks as well.

0:06:37.720 --> 0:06:41.680
<v Speaker 1>So uh, in terms of the open versus other events

0:06:41.720 --> 0:06:44.680
<v Speaker 1>that IBM gets involved into sponsors. What's special about it?

0:06:44.720 --> 0:06:47.320
<v Speaker 1>What's different about it? Oh? Well, I mean there's nothing

0:06:47.360 --> 0:06:49.200
<v Speaker 1>like tennis in New York? Right is the final Grand

0:06:49.200 --> 0:06:51.960
<v Speaker 1>Slam of the year. Um, you know each we sponsor

0:06:52.000 --> 0:06:54.720
<v Speaker 1>all four Grand Slams. Each one has a different personality

0:06:55.120 --> 0:06:57.119
<v Speaker 1>and so you know, this is the New York event.

0:06:57.279 --> 0:07:00.200
<v Speaker 1>For me, it's special. It's in my backyard. Who were

0:07:00.240 --> 0:07:01.640
<v Speaker 1>written for On the men's side, if you think it's

0:07:01.680 --> 0:07:05.080
<v Speaker 1>gonna take it, oh gosh, I really don't know. We'll

0:07:05.080 --> 0:07:07.440
<v Speaker 1>have to ask Watson. Okay, I'm gonna come fine later

0:07:07.520 --> 0:07:09.520
<v Speaker 1>you can. We can ask Watson. Watson. I'm sure we'll

0:07:09.560 --> 0:07:11.080
<v Speaker 1>have a very good answer. I guess I'll ask you

0:07:11.080 --> 0:07:12.960
<v Speaker 1>an easy one. Well, what's sounds so easy? On the

0:07:13.000 --> 0:07:16.880
<v Speaker 1>women's side, um, I would I would go with Watson again. Okay,

0:07:17.160 --> 0:07:20.040
<v Speaker 1>all right, okay, Watson, I'm coming to meet you. And

0:07:20.240 --> 0:07:22.440
<v Speaker 1>mus is definitely smarter than me, that's for sure. It

0:07:22.600 --> 0:07:24.840
<v Speaker 1>was both O Brien, thanks so much so then to

0:07:24.880 --> 0:07:27.600
<v Speaker 1>get join us here at the US Open, Program Manager

0:07:27.640 --> 0:07:31.360
<v Speaker 1>worldwide Sponsorship Strategy and Marketing for IBM, one of the

0:07:31.400 --> 0:07:33.960
<v Speaker 1>big big sponsors here at the US Open every year.

0:07:34.680 --> 0:07:37.480
<v Speaker 1>Coming up, we are going to be taking a look

0:07:37.600 --> 0:07:40.440
<v Speaker 1>at the markets, and a whole lot more. I'm Kathleen Hayes,

0:07:40.520 --> 0:07:47.000
<v Speaker 1>and this is Bloomberg. Bloomberg Taking Stock is brought to

0:07:47.000 --> 0:07:50.320
<v Speaker 1>you by willoughby Since New York City's boutique camera store

0:07:50.360 --> 0:07:52.680
<v Speaker 1>for precision craft to Tossil blood and mike A cameras,

0:07:52.800 --> 0:07:56.200
<v Speaker 1>plus a full selection of GoPro action adventure cameras. Willoughby's

0:07:56.200 --> 0:08:00.160
<v Speaker 1>at the corner of Fifth Avenue and thirty first Street,