About this Episode:
In this episode, you’ll learn AI’s role in predicting decisions for future ad campaigns.
Joseph is joined by our special guest RJ. Talyor is the CEO and Founder of Pattern89, an AI platform for digital marketing. Pattern89 analyzes ads across 49,000 creative dimensions and 500 billion marketing data points to predict which creative decisions will perform for future campaigns. RJ has been Recognized as one of the Indianapolis Business Journal’s 40 Under 40.
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Joseph introduces the topic of today’s episode “AI’s role in predicting decisions for future ad campaigns”, and brings up an anecdote relating to wise content regarding being unaware of something is wise content until after it is created. The anecdote surrounds Joseph’s other podcast Gateway to the Smokies, where he had a guest who is very influential in a niche community, causing a spike in people downloading the podcast and going to the accompanying website to learn more. Joseph then introduces his guest for today’s episode R.J. Taylor, the CEO and founder of Pattern89, an AI platform for digital marketing. The two discuss R.J. ‘s time as a professional swimmer, where he specifically participated in swimming in open water, which as he describes is less about being the fastest and more about outlasting all of your other competitors. They also discuss the other aspects of R.J.’s daily life, specifically his hobby of bird watching, which is a very popular pastime in the Smoky Mountains. Joseph and R.J. discuss R.J.’s professional life, and how he was able to grow with a company straight out of college while at the same time also earning his master’s in English.
Joseph and R.J. discuss R.J.’s time spent helping grow the company he works at, and R.J. explains how he noticed a gap in the industry that was a lack of the creative aspect and creative decision making. R.J. found that through machine learning creative decisions are more easily and effectively made, which brings the most interactions with the ad campaign. And, that is exactly what Pattern89 does, which is figuring out which creative decisions should be made as efficiently and effectively as possible. R.J. explains the 5 billion creative data points that Pattern89 makes use of, and how Pattern89 makes use of these creative data points to figure out which aspects of the pieces of content are performing either well or poorly. R.J. explains how Pattern89 finds a variety of patterns that bring about this, including but not limited to days of the week, seasons, time of day, and many other dimensions. The two discuss how R.J. was able to obtain all of this data, and R.J. explains how he likes to compare it to going door to door to his previous clients to get all of this data, and it took him two years to obtain the amount of data necessary to make these predictions. R.J. explains how Pattern89 has been very helpful to different brands and people to help them bounce back from the effects of the Covid-19 pandemic.
R.J. explains where he sees AI’s role in creative marketing, and how he believes that we are only seeing the beginning of what AI can do in the creative space from a bunch of different angles. Joseph and R.J. discuss a recent seven-figure sale of an AI-generated art piece, and whether or not the end product of the piece was what was actually purchased for seven figures or the algorithm behind the art piece. R.J. explains how he believes that humans are the ultimate creators, and AI can be used as an assistant or a tool to assist in artistic pursuits. The two discuss human’s tolerance of errors, and how humans are more tolerant of errors in content, such as spelling errors when a human is creating content. But, when an AI makes a similar mistake humans are less tolerant and expect nothing but perfect from AI-generated content. Joseph brings up the social media campaign that Lil Nas X created surrounding his first song “Old Town Road” that launched him into stardom, and whether or not AI would be able to replicate something like that. R.J. continues off of that point saying that AI would not be able to replicate what Lil Nas X did, and that phenomenon is a human experience. The two also discuss ethics with AI, and how R.J. believes that ethics is the greatest risk associated with AI, as AI does not do well with ethics unless trained correctly.
Joseph and R.J. discuss where they believe successful marketing teams will be in terms of their relationship with AI in one year and in five years. R.J. brings up the point that technology has changed so much in such a short amount of time, bringing up how in 2007 with the release of the iPhone started people to discuss their “mobile marketing strategy” but in 2021 mobile marketing is an assumed part of one’s marketing strategy/ R.J. continues to explain he believes this will also happen with AI, how in five years incorporating AI in one’s marketing strategy will be assumed and necessary.
00:00:33.480 –> 00:00:43.950 Joseph McElroy: hello, thank you for joining us on this week’s episode of wise content creates wealth you’ve heard that content is king well why is content rule the world.
00:00:44.400 –> 00:00:51.240 Joseph McElroy: wise content requires analysis and use of data to inform decisions about what to create how to promote it.
00:00:51.900 –> 00:01:00.120 Joseph McElroy: Using knowledge and tools such as behavioral science artificial intelligence semantic research and influence or co-creation, amongst others.
00:01:00.450 –> 00:01:16.890 Joseph McElroy: are necessary to make a meaningful impact on content produced and is resulting effect of this podcast investigates the people, besides the techniques tactic stories case studies in tools that make wise content success.
00:01:17.700 –> 00:01:27.060 Joseph McElroy: I am Joseph Franklin magical and I’m a marketing technology expert who’s built a multimillion-dollar company I’m also an award-winning content producer.
00:01:28.020 –> 00:01:40.050 Joseph McElroy: Be sure to go to wisecontentcreateswealth.com to sign up for my newsletter and get access to resources to help you produce wise content and know more about upcoming episodes and webinars.
00:01:40.620 –> 00:01:55.500 Joseph McElroy: My company is galileotechmedia.com and so leading SEO and content marketing firm specializing in the travel industry multi-location businesses financials software as a service and real estate.
00:01:56.580 –> 00:02:14.340 Joseph McElroy: Today we’re going to talk about Ai’s role and predicting decisions, especially creative decisions for future ad campaigns, but first I’m just going to give you a little anecdote about why is content sometimes you know you don’t know what content is why is until after the fact.
00:02:15.480 –> 00:02:25.170 Joseph McElroy: So and it’s analyzing what its result is where you find the wisdom and it’s actually in my own personal business and just.
00:02:27.390 –> 00:02:27.720 Joseph McElroy: and
00:02:29.130 –> 00:02:29.460 Joseph McElroy: Then.
00:02:30.660 –> 00:02:40.290 Joseph McElroy: Another podcast called the gateway to the smokes I own a motel/ resort in the smoky mountains of North Carolina in fact it.
00:02:40.890 –> 00:02:53.340 Joseph McElroy: It was my homestead growing up, but now I have taken an overload with my wife and we are been renovating it and trying to build it into something in a town that it seems and better times.
00:02:54.270 –> 00:03:10.470 Joseph McElroy: But that would seem to be happening now it’s called Maggie valley North Carolina so anyway, this podcast I would have interesting people come on to talk about various aspects with cultures with smoky mountains and I had a man on their name Bob Plott, who is.
00:03:11.490 –> 00:03:20.550 Joseph McElroy: family brought the Plott hound in North Carolina and actually to the United States and it’s the same dog North Carolina so I thought that’d be interesting.
00:03:22.050 –> 00:03:30.480 Joseph McElroy: You know, a segment for the show, so he comes on and we have a nice conversation so analyzing after the fact, both on the site and podcasts.
00:03:30.810 –> 00:03:42.300 Joseph McElroy: I realized that boy, there was a huge jump in people listening and downloading the podcast and also going into the website to read more information and I had to investigate why.
00:03:43.380 –> 00:03:49.170 Joseph McElroy: And I talked to Bob about that and so there’s actually a very active and big community.
00:03:50.130 –> 00:03:56.160 Joseph McElroy: that loves these dogs there’s also bear hunting Community there’s a Netflix show called meat eater.
00:03:56.490 –> 00:04:07.860 Joseph McElroy: And all sorts of stuff so I said, well, we should do something, and he said there used to be a festival in Maggie Valley, but that was years ago I said, well, we should do something at our place because we’re trying to do events.
00:04:08.280 –> 00:04:21.870 Joseph McElroy: And so we agree, so we set up and started doing it today is the launch of that event well what’s really fantastic about that is move actually filled up replace a lot of people coming here and normally.
00:04:23.280 –> 00:04:29.070 Joseph McElroy: Normally, if we had a rainstorm coming into the city because of you know, things like a hurricane.
00:04:29.610 –> 00:04:37.920 Joseph McElroy: That everybody is canceling the reservations there are no reservations being canceled, people are showing up in droves be part of this, and not only that we.
00:04:38.790 –> 00:04:45.930 Joseph McElroy: introduced a heritage club yeah there’s a motel club for people to join and get discounts on the rooms and future things.
00:04:46.230 –> 00:04:59.640 Joseph McElroy: And they’re signing up for that, so my in my book it’s analyzing it and taking action based upon what you find out from the content that you did, maybe it’s just sort of the standard routine content, but it has an outsized response to what.
00:05:00.150 –> 00:05:09.390 Joseph McElroy: You were expecting is also wise content, because you’re taking wise actions after you see some content react so anyway.
00:05:10.260 –> 00:05:30.090 Joseph McElroy: Today my guest is RJ Taylor is the CEO and Founder of Pattern89 an AI platform for the digital market. Pattern89 analyzes ads across 49,000 creative dimensions.
00:05:31.170 –> 00:05:40.170 Joseph McElroy: And 500 billion marketing data points to predict which creative decisions will perform for future campaigns.
00:05:40.860 –> 00:05:42.750 Joseph McElroy: RJ has been recognized as well the
00:05:42.750 –> 00:05:46.860 Joseph McElroy: Indianapolis business journal’s 40 under 40 how are you doing today.
00:05:47.280 –> 00:05:56.850 R. J. Talyor: I’m doing great things sounds, sounds like I need to be where you are in North Carolina we did that on your new resort I need to get down there.
00:05:57.120 –> 00:06:03.300 Joseph McElroy: Well it’s not exactly new it’s 70 years old, but we’ve been renovated you do need to come down and visit that.
00:06:03.450 –> 00:06:04.500 R. J. Talyor: sounds even better.
00:06:04.980 –> 00:06:08.850 Joseph McElroy: it’s called the Meadowlark Motel Maggie Valley, so if we get a chance at definitely.
00:06:10.440 –> 00:06:15.150 Joseph McElroy: So I know it’s a classic roadside motel got a little agent on it, but we’re.
00:06:17.220 –> 00:06:23.280 Joseph McElroy: renovating it and you know it’s got an evolution go we’re trying to maintain sort of the original.
00:06:23.310 –> 00:06:24.660 Joseph McElroy: charm as much as we can.
00:06:25.470 –> 00:06:36.030 Joseph McElroy: um so I see that you’ve got some interesting things going on in your life you’re a champion national champions Twitter server what was that one day when national championship swimmer.
00:06:36.240 –> 00:06:43.770 R. J. Talyor: Oh, you know what I swim in college and I’ve swum with the US, Ms us masters swimming.
00:06:44.250 –> 00:07:00.690 R. J. Talyor: group since then so it’s been about 20 years across that time I’ve won a few different national championships mostly open water so meaning, where you swim like three miles across a lake or something like that, so you just you don’t have to swim fast you just have to outlast your competitors.
00:07:02.160 –> 00:07:03.270 R. J. Talyor: that’s what I’m best at.
00:07:04.290 –> 00:07:08.910 Joseph McElroy: Just outlet to your competitors, hopefully, it works in business today right yeah.
00:07:09.090 –> 00:07:09.480 R. J. Talyor: yeah yeah.
00:07:09.540 –> 00:07:13.710 Joseph McElroy: Many lessons are you gonna be an iron man competition, then that would be something.
00:07:13.770 –> 00:07:14.220 Good you know.
00:07:15.240 –> 00:07:26.100 R. J. Talyor: I’ve actually done some relays so you came up with a really good biker and a good runner I am a good swimmer and I’m a terrible biker and even worse runner so.
00:07:26.340 –> 00:07:27.870 R. J. Talyor: Maybe but I’ll just do a relay.
00:07:30.180 –> 00:07:44.760 Joseph McElroy: is just do the relay part that’s right so you’re you know I have I’m in my second rodeo I have a 28-year-old son, but I have now two and a half-year-old twins I see that your father for how’s that handle how you doing handle that.
00:07:45.030 –> 00:07:49.200 R. J. Talyor: Well it’s um let’s just say I’m working from home and I’ve got the door locked.
00:07:50.940 –> 00:08:08.280 R. J. Talyor: They run from age nine to three about three boys and a girl and they’re wonderful, but they are always up to something typically involves shovels and ropes and you know bugs and whatever they can find outside.
00:08:08.520 –> 00:08:09.870 Joseph McElroy: Yes, and it’s right now.
00:08:10.080 –> 00:08:10.980 Joseph McElroy: And so yeah.
00:08:11.370 –> 00:08:16.800 R. J. Talyor: Sure sure yeah lots of bees, they like to travel to you so it’s a wild ride but it’s really fun.
00:08:17.460 –> 00:08:35.730 Joseph McElroy: And then I saw another opportunity to promote my resort when I saw it was something another one of your points of interest you know the smoky mountains is great for birdwatching right it’s like hundreds of species unique species as you’re a birdwatcher smoky mountains.
00:08:35.940 –> 00:08:42.150 R. J. Talyor: I bet you have been fishing in the smokies before, but never bird watching and I’ll tell you, as my kind of my covid hobby.
00:08:42.870 –> 00:08:57.210 R. J. Talyor: And I just started getting more and more bird feeders around my house and it’s turned into a kind of a family with this point and but yeah I mean again, it sounds like I need to book a trip right now.
00:08:58.470 –> 00:09:03.450 R. J. Talyor: you’re here at the motel and we can do some of that together that’d be great.
00:09:03.840 –> 00:09:11.400 Joseph McElroy: Listen whenever I’m here, I see these 10 different birds or colors I don’t recognize, you know it’s obviously a bunch of different things so.
00:09:12.450 –> 00:09:17.520 Joseph McElroy: Definitely, you know I tell my mind because I’m here now usually in New York City.
00:09:19.020 –> 00:09:19.860 Joseph McElroy: Right now i’m.
00:09:21.210 –> 00:09:29.130 Joseph McElroy: In the mountains, and you know, and you can see, I have good enough Internet here yeah and now I hope upgrade doesn’t go down.
00:09:29.460 –> 00:09:30.570 Joseph McElroy: You know, but anyway.
00:09:31.590 –> 00:09:45.690 Joseph McElroy: So I was, I saw so I was going to talk about your resume so I saw your resume you were exactly how you came out of college got into you know some companies, you get into exact target was grow grew and grew and grew and grew with it.
00:09:45.810 –> 00:09:46.950 Joseph McElroy: Like for nine years.
00:09:47.250 –> 00:09:52.290 Joseph McElroy: And it was acquired for salesforce for 2.5 billion, and then you were there for a little while after.
00:09:53.520 –> 00:10:05.100 Joseph McElroy: That that’s not the thing that interested me, yeah I want you to tell me a little bit about that, but what’s interesting is me is that you’ve got a master of fine arts in English, at the same time at the ball university.
00:10:05.280 –> 00:10:05.490 Joseph McElroy: Now.
00:10:06.180 –> 00:10:14.250 R. J. Talyor: How did it, yeah you know you know when I graduated college people have asked me what do you want to do with your life, you know, everybody asks that question and I.
00:10:14.610 –> 00:10:24.360 R. J. Talyor: Always answer the question is, I want to be an entrepreneur, and I want to be a professor and it seems like kind of you gotta pick one of those two and I didn’t.
00:10:25.020 –> 00:10:32.670 R. J. Talyor: And instead I said I want to do both, and so, when I was working at exact target I learned all about entrepreneurship about tech.
00:10:33.600 –> 00:10:42.120 R. J. Talyor: And at the same time I that was kind of nagging that another side of me was nagging so I got into the MFA in English program at Purdue.
00:10:42.480 –> 00:10:51.030 R. J. Talyor: And I live in Indianapolis which is just about an hour and 20 minutes, so I would just commute up there two sometimes three days a week, and because I was working in tech I can.
00:10:51.270 –> 00:10:57.450 R. J. Talyor: work from the Panera or from the Student Union building and take classes and do both, and I was single at the time, so I just.
00:10:57.690 –> 00:11:11.730 R. J. Talyor: worked and went to school for three years and got that master’s degree and it’s kind of amazing how what I learned from creativity focused creative focused master’s degree and then my experience in tech of wanted, together with.
00:11:13.290 –> 00:11:19.860 R. J. Talyor: You know blended together and kind of an amazing way and it’s really helped with patterning nine because that’s where we fuse I mean we’re jumping ahead on the resume but.
00:11:20.610 –> 00:11:26.730 R. J. Talyor: You know I I had someone tell me, you know the old cliche you don’t think in black and white, you can actually thinking Gray.
00:11:27.030 –> 00:11:28.410 R. J. Talyor: And so I did that.
00:11:28.500 –> 00:11:29.940 R. J. Talyor: And pursued both and.
00:11:31.050 –> 00:11:35.400 Joseph McElroy: It was a lot of work, I recommend it to know what I did my first.com.
00:11:36.450 –> 00:11:47.580 Joseph McElroy: Back in the late 90s, at the same time, I was also pursuing arts, and essentially the first time I raised a few million dollars, I also got a piece of artwork into a museum.
00:11:48.120 –> 00:11:48.690 So.
00:11:50.640 –> 00:11:59.100 Joseph McElroy: yeah so you know, I think that that gives you great satisfaction in life to be have multiple things be.
00:12:01.050 –> 00:12:02.340 Joseph McElroy: stimulates your interests.
00:12:02.400 –> 00:12:03.510 R. J. Talyor: Right yeah yeah yeah.
00:12:03.570 –> 00:12:07.020 R. J. Talyor: it’s a good Union Yang that is closer, I think, then.
00:12:08.160 –> 00:12:13.500 R. J. Talyor: Then what people think you know because I think you think you have to go one way or the other but they actually are nicely overlapped.
00:12:14.040 –> 00:12:20.100 Joseph McElroy: Well, if you’re under the understanding that you learn to the list applicable to understanding content is it important to think.
00:12:20.490 –> 00:12:26.310 R. J. Talyor: yeah yeah totally I mean you know my experience on you know, on the content side has always been the digital distribution of it.
00:12:27.030 –> 00:12:28.560 R. J. Talyor: So you know, to get.
00:12:28.620 –> 00:12:34.080 R. J. Talyor: Exact target was around emails email, you know email marketing, then it was around landing pages and about microsites.
00:12:35.280 –> 00:12:47.790 R. J. Talyor: Then I got in the mobile space around and how do you shrink content to text messaging or MMS or mobile Apps that type of stuff and so it’s all about how do we get that content into the format that people want to.
00:12:49.380 –> 00:13:02.790 R. J. Talyor: receive it, and you know, on the journey there with your customers so it’s it is tightly aligned from, from my perspective, and you know getting creative in the ways that you’re saying the same thing across multiple formats is kind of the name of the game.
00:13:04.260 –> 00:13:21.420 Joseph McElroy: yeah in our in my business yeah yeah when you know even simple things that people think about like doing link building, you know there’s so many people out there, doing link building really bad content really bad badly written emails and badly written.
00:13:22.680 –> 00:13:23.130 Joseph McElroy: know.
00:13:24.390 –> 00:13:40.440 Joseph McElroy: post to go with it, it can be you know the reason that people don’t have success, a lot of times is because the English, the story whatever is being held is not well, so I would think in English English English would be great at telling those stories.
00:13:40.530 –> 00:13:43.050 R. J. Talyor: yeah yeah yeah you know it’s um.
00:13:44.790 –> 00:13:49.980 R. J. Talyor: it’s about storytelling it’s about an economy of words it’s about efficiency it’s about not sounding like a robot.
00:13:51.060 –> 00:13:57.990 R. J. Talyor: And not sounding clunky and then, on the other side of it, you know with any degree like that you do a ton are breeding like just.
00:13:58.530 –> 00:14:00.630 R. J. Talyor: Almost more than you can handle and so.
00:14:01.320 –> 00:14:14.190 R. J. Talyor: You know, as these new technical protocols come out it’s just about reading this stuff and then distilling it down into that content that they can distribute so one of the things I did, while I was at exact target was I became an expert in can spam the can spam legislation.
00:14:14.700 –> 00:14:18.060 R. J. Talyor: And then, also in all the text messaging legislation.
00:14:19.140 –> 00:14:28.530 R. J. Talyor: And all the protocols and that type of stuff and so it’s just about reading it, and then distilling it into three to five bullet points that marketers wanted and adjust and.
00:14:28.890 –> 00:14:39.510 Joseph McElroy: All right, so so when we come back, I want to talk about what pattern89 so we might as well get into the meat of what you’re doing these days, how you got there.
00:14:41.250 –> 00:14:41.850 R. J. Talyor: sounds great.
00:16:57.360 –> 00:17:09.090 Joseph McElroy: hey how are you doing this is Joseph Frankly McElroy is back with the wise content creates wealth podcast with my guest RJ Taylor they are did you go by RJ or is it another day.
00:17:09.660 –> 00:17:15.960 R. J. Talyor: yeah RJ all the time, my first name is actually the Roi but that’s my dad so I’m birth yeah.
00:17:16.680 –> 00:17:26.070 Joseph McElroy: All right, so you’ve been helping a company become a billion-dollar company been hanging out with salesforce you’ve been watching birds.
00:17:30.540 –> 00:17:36.270 Joseph McElroy: phase and things in you know now all of a sudden, you decided to form your own company, how can we decided to do that.
00:17:37.050 –> 00:17:44.820 R. J. Talyor: well enough for two reasons, one is when I graduated from college I knew I wanted to be an entrepreneur and that’s truly like whatever that.
00:17:45.240 –> 00:17:50.010 R. J. Talyor: Part of your gut tells me to do something that’s what I felt like it was telling me to do.
00:17:50.310 –> 00:18:01.860 R. J. Talyor: And then, the second is because, after working at salesforce and a few other startups I just knew that there was this gap in the market, and it was the blend of creativity in Ai that we could solve.
00:18:02.640 –> 00:18:14.130 R. J. Talyor: A lot of marketers and content producers use a lot of a B testing or multivariate testing approaches to figure out what to do and with you know I knew that you could solve it better with machine learning and artificial.
00:18:14.880 –> 00:18:21.180 R. J. Talyor: Intelligence so you know felt like a good combination of the opportunity, and what I wanted to do with this part of my life.
00:18:21.720 –> 00:18:26.490 Joseph McElroy: So what is the elevator pitch of a pattern89 that you get somebody to buy it.
00:18:27.570 –> 00:18:38.940 R. J. Talyor: Well, you know it patterning united we predict creative performance and what we do is understand what works about your creative and what will work for your upcoming creative.
00:18:39.330 –> 00:18:54.120 R. J. Talyor: And, rather than using an A, B test or multivariate test to kind of iterate yourself into that winner we look across 49,000 different aspects of your creative and then provide you with the recipe of what’s going to work.
00:18:54.930 –> 00:19:06.510 R. J. Talyor: And those dimensions are everything like a good example is a customer who wants to sell couches tries to understand right should we put a great counter a blue couch in a picture.
00:19:06.900 –> 00:19:14.970 R. J. Talyor: Should we have a great couch with an orange blanket or should be a blue couch with a green blanket and, should there be humans on that couch.
00:19:15.390 –> 00:19:26.130 R. J. Talyor: Should there be a man and a woman, a man and a man three women should they have a dog in their lap a cat so there’d be a window Atlanta, like all these different creative decisions, are made by humans today.
00:19:26.700 –> 00:19:41.010 R. J. Talyor: and humans have good ideas, but we often get them wrong in terms of what’s going to drive the clicks or the purchases or the engagements that we want, and so what patterning does is that identifies the recipe for that creative that’s going to drive the best result for you.
00:19:41.820 –> 00:19:57.480 Joseph McElroy: I imagine that’s really great creatives for creatives of the corporate setting because they can answer the CFO says, I want to I will have a babysitter grandma that pictures rather maybe test better right yeah yeah.
00:19:57.660 –> 00:20:09.090 R. J. Talyor: yeah a lot of lifetime marketers will use focus groups to answer some of these questions, but of course the focus group is limited to the eight or 10 people that are in the focus group or they’ll go to the.
00:20:09.690 –> 00:20:13.800 R. J. Talyor: You know the client if they’re an agency and say what do you think, or what do you like.
00:20:14.790 –> 00:20:24.210 R. J. Talyor: or they’ll go on an educated guess, and if coven in the last you know 15 to 18 months have told us anything it’s that there’s a lot of unpredictability out there.
00:20:24.540 –> 00:20:30.870 R. J. Talyor: Across all aspects of things, and so what has worked in the past, not does not necessarily going to work in the future, so we can.
00:20:31.140 –> 00:20:45.690 R. J. Talyor: replace all of those inefficient ways of making decisions with predictive power from artificial intelligence that you know humans can go over the ideas with machines can do all of the investigations of massive amounts of data and find patterns and outliers that we can’t see.
00:20:46.380 –> 00:20:54.810 Joseph McElroy: You said you have 500 billion points of data, and I think it’s important for somebody will understand why it’s content and data.
00:20:55.230 –> 00:20:57.810 Joseph McElroy: and work for how do you get that credit data.
00:20:58.320 –> 00:21:13.770 R. J. Talyor: yeah well what we do is we connect into over 7000 brands account so they when they connect to pattern it, you know and we give them a free we call it a SWAT report strengths weaknesses opportunities and threats their free creative.
00:21:14.280 –> 00:21:18.960 R. J. Talyor: Spot report in exchange for access to the creative and then the performance data of that creative.
00:21:19.440 –> 00:21:28.050 R. J. Talyor: And it’s all anonymized so that that customer I was telling you about if they wanted to know is a blue couch or grey couch we can look across.
00:21:28.350 –> 00:21:34.620 R. J. Talyor: Over 7000 brands, with the data over 500 billion creative data points and find all the blue couches.
00:21:35.250 –> 00:21:45.990 R. J. Talyor: And all the great couches all the green counters all the red couch is all the yellow couches all the couches and then understand what is it about the picture with accounts in it that’s driving his performance up or down and then.
00:21:47.340 –> 00:21:56.760 R. J. Talyor: spell that every customer based on this massive data sets half a trillion data points, rather than only their data alone, which may or may not be statistically significant.
00:21:57.240 –> 00:22:07.980 R. J. Talyor: So we look across that larger data set just by it’s a to click process to get a customer or prospect connected in your platform super simple and then you get the creative squat and then we go from there.
00:22:08.670 –> 00:22:13.620 Joseph McElroy: Now, so you have data, but you have machine learning, I mean.
00:22:15.210 –> 00:22:23.880 Joseph McElroy: So it’s learning what how’s it learning is I mean is there some success points that did it a season that analyzes the data to figure out how it got to that success point.
00:22:24.210 –> 00:22:36.540 R. J. Talyor: Yes, yeah every day we rerun our models so our models are looking across 49,000 different creative dimensions so like today, looking at all those blue couches and all the great couches and orange and red, yellow whatever.
00:22:36.780 –> 00:22:45.030 R. J. Talyor: And then, it looks at tomorrow and looks at the next day and every runs every day, and then it looks at all of the Tuesdays versus all the Wednesdays or Thursdays.
00:22:45.330 –> 00:22:54.270 R. J. Talyor: All the Tuesdays in July versus all the Tuesdays and holiday season versus Tuesdays in the spring and understand seasonal patterns day of the week patterns.
00:22:54.870 –> 00:23:02.640 R. J. Talyor: As well as what came before and after to then understand things are in the pattern they’re trending in the same way that we normally do or.
00:23:03.210 –> 00:23:09.000 R. J. Talyor: or their current for the pattern, and that does change the lead time of day seasons.
00:23:09.510 –> 00:23:16.380 R. J. Talyor: All of those different dimensions and because we’re looking at 49,000 different points we can find things like Oh, it looks like the color red is trending up.
00:23:16.890 –> 00:23:29.190 R. J. Talyor: Over the last three days and we predicted it’s going to perform a little bit better over the weekend those types of things or grandmas are coming back or creative with people in masks are on the way up or fireworks are in or those types of things.
00:23:29.310 –> 00:23:31.710 Joseph McElroy: So this the success is based upon.
00:23:32.100 –> 00:23:40.080 Joseph McElroy: What awareness, or how much how often people interact or are already financial success tied in.
00:23:40.350 –> 00:23:49.050 R. J. Talyor: Yes, so we can hook into any success metric that the customer is interested in so sometimes they’re reaching frequency objectives like a CPM.
00:23:49.380 –> 00:23:59.520 R. J. Talyor: Sometimes they are a click or a video view metric sometimes they’re like APP downloads and pens or email signups many of our customers are retailers who care about sales.
00:23:59.790 –> 00:24:15.690 R. J. Talyor: or return on ad spend so it’s any metric that you care about and because we have enough data across that half a trillion data points we can make statistically significant predictions across any outcome that you care about so you just define what that metric is at the front cool.
00:24:16.020 –> 00:24:18.150 Joseph McElroy: Well, it must, it must have been a challenge to
00:24:18.150 –> 00:24:30.510 Joseph McElroy: get all those metrics I read somewhere that you actually you guys went out and got you to know by sort of brute force method to do your first 500 customers it wasn’t like you just went somewhere and got 500 people to give you all the.
00:24:30.510 –> 00:24:34.440 R. J. Talyor: yeah yeah I mean and I joked that I went door to door.
00:24:35.970 –> 00:24:46.560 R. J. Talyor: Virtual door to virtual door but I’m called up a bunch of customers, I used to work with and said hey I’m building this new platform we’re going to be anonymizing data and the only way these works is if we.
00:24:47.130 –> 00:25:00.120 R. J. Talyor: get a large enough data set, would you give me access to that anonymize created data and performance data and exchange I’ll give you a report so did that a bunch of times, and then we build a system that did it so it’s it was definitely a brute force.
00:25:02.250 –> 00:25:03.630 Joseph McElroy: How long did it take you to get that.
00:25:04.140 –> 00:25:05.520 R. J. Talyor: out to about two years.
00:25:05.730 –> 00:25:07.800 Joseph McElroy: Really, so you really spent two years.
00:25:08.130 –> 00:25:08.850 Joseph McElroy: just yet.
00:25:09.330 –> 00:25:11.460 R. J. Talyor: To get on bringing into there yeah.
00:25:11.640 –> 00:25:22.680 R. J. Talyor: yeah so we’ve been business almost four and a half years so since that to your point we’ve been really, really going strong because we now have enough data that we can make predictions that customers care about.
00:25:23.430 –> 00:25:27.300 Joseph McElroy: Well, is there any prediction that you’re particularly proud of that was a success for somebody.
00:25:28.020 –> 00:25:29.010 R. J. Talyor: Well, you know.
00:25:30.240 –> 00:25:31.860 R. J. Talyor: We worked with.
00:25:32.880 –> 00:25:33.780 R. J. Talyor: yeah so.
00:25:34.890 –> 00:25:53.310 R. J. Talyor: a bunch of them actually worked with a number of brands, to get them back on track, after Cobra decimated their businesses to understand how to actually get the lowest cost for their performance brands, ranging from fitness brands who businesses truly were decimated some.
00:25:54.960 –> 00:26:04.080 R. J. Talyor: restaurants, as well as retailers, as they went online, so we could identify everything from whether or not they should have a mask present in their ad.
00:26:04.800 –> 00:26:11.460 R. J. Talyor: To what are the things that are actually trending up, but I think actually helping people through this pandemic time is what I’m most proud of.
00:26:12.240 –> 00:26:14.310 Joseph McElroy: Well alright that’s a great story actually.
00:26:15.600 –> 00:26:21.870 Joseph McElroy: So who so I know there’s always competitors who do you think is your competitors in the space.
00:26:22.050 –> 00:26:32.160 R. J. Talyor: Well, I mean today there’s kind of three categories of competitors are first as humans and it’s sort of ironic because we actually help humans become more creative but.
00:26:33.840 –> 00:26:44.010 R. J. Talyor: A lot of times you what we do as directly competitive with the human decisions that they’re making, but we can free up humans to make more creative strategic
00:26:45.210 –> 00:26:54.600 R. J. Talyor: Vision so really having a parse through massive spreadsheets we can help them to figure out instead of how to create how to be more creative so that’s the first and then.
00:26:55.110 –> 00:27:10.230 R. J. Talyor: The second is these big a guy systems like IBM Watson or Salesforce Einstein there are lots of big powerful Ai systems out there that haven’t been trained on the creative data set yet so we see them.
00:27:10.830 –> 00:27:19.650 R. J. Talyor: sometimes come up as competitors and then the third set or other Ai startups that are doing similar things to what we’re doing answering the question so.
00:27:20.670 –> 00:27:26.580 R. J. Talyor: we’re excited about them because they’re pushing us for sure so um but yeah Those are the three types of patterns, we see.
00:27:29.460 –> 00:27:33.960 Joseph McElroy: Everyone is using one that’s aside from their competitors that.
00:27:35.190 –> 00:27:37.650 Joseph McElroy: mystery now markets news yeah.
00:27:38.190 –> 00:27:45.210 R. J. Talyor: Oh yeah I’m the potential I’m not familiar with them, but then they may be a competitor on the creative side for sure.
00:27:45.600 –> 00:27:58.650 Joseph McElroy: Alright cool well you know when we come back, I want to pick your brain about Ai and content and marketing in general, and let’s talk about what might happen in the industry and where you guys maybe see the future love it.
00:30:30.060 –> 00:30:44.670 Joseph McElroy: hello, this is Joseph Franco McElroy back with the wise content creates wealth podcasts in my guest RJ Taylor so RJ where do you see a eyes roll in creative marketing.
00:30:45.720 –> 00:30:53.250 R. J. Talyor: Well, I yeah I think that we’re actually seeing just the beginnings of Ai and creativity come to light.
00:30:54.030 –> 00:31:08.430 R. J. Talyor: You know, you can look at Sotheby’s just sold its first seven-figure Ai generated art in the last six months, and then we see Ai do you know writing things with platforms like open text and.
00:31:09.540 –> 00:31:16.830 R. J. Talyor: x.ai those platforms are actually creating content now and we’re seeing art.
00:31:17.220 –> 00:31:30.570 R. J. Talyor: and creativity and then things like defects so it’s all kind of a long way to say that we’re seeing it actually enter in your Ai enter into the creative space from a bunch of different angles, so I think we’re at the beginning and there are lots.
00:31:33.990 –> 00:31:41.820 R. J. Talyor: And lots of questions the allow that kind of stuff but just the beginning but it’s like the beginning of seeing it really permeate a lot of creative aspects.
00:31:42.540 –> 00:31:49.350 Joseph McElroy: Would you um it’s interesting this the seven-figure earner sale, I actually hadn’t heard that I heard about it he’s being something but.
00:31:49.560 –> 00:31:59.100 Joseph McElroy: yeah would you say that it’s the end result that that that was bought for seven figures or was it the algorithm that was bought for 70 years.
00:31:59.460 –> 00:32:08.040 R. J. Talyor: Well, I that that is a good question, I mean, in this case, the the the output of the art piece was actually purchased for it for that amount.
00:32:08.610 –> 00:32:18.780 R. J. Talyor: But I think you’re maybe I don’t know if you’re asking me, but I think that the more valuable piece is the tech actually created the content because we’re seeing more and more.
00:32:20.970 –> 00:32:25.740 R. J. Talyor: Of that, being interested like, how do we actually replicate the human brain in a way.
00:32:25.830 –> 00:32:27.600 Joseph McElroy: I mean i’ll go see.
00:32:30.000 –> 00:32:36.240 Joseph McElroy: The concept of art, maybe it’s beautiful isn’t it a painting or something like I don’t know what it is yeah.
00:32:36.270 –> 00:32:39.960 Joseph McElroy: Really, I didn’t mean, so now we got my I got my head around it around.
00:32:40.530 –> 00:32:40.980 R. J. Talyor: I love that.
00:32:42.000 –> 00:32:51.420 R. J. Talyor: I love they’re using that term is it beautiful because that’s where the subjectivity comes in, and like I don’t really think that it’s beautiful but, as some people do and.
00:32:51.780 –> 00:33:04.710 R. J. Talyor: that’s like a funny it’s just a funny question is, I think the definition of beauty is is what we’re up against like What do people think like some people think the Jackson pollock is beautiful, you know like I don’t know it looks like splatter paints and, like my
00:33:07.080 –> 00:33:12.630 Joseph McElroy: In our world is gone away from beauty is standard of high art right.
00:33:13.110 –> 00:33:13.560 Joseph McElroy: We have you.
00:33:13.770 –> 00:33:19.110 Joseph McElroy: Know looked down upon a little bit in terms of being a metric to measure of craft is not nearly is.
00:33:20.100 –> 00:33:39.450 Joseph McElroy: You know elevated as at once and earlier centuries was so yeah I was wondering if it was bought for its craft, or if it’s bought for some sort of conceptual and how Then there was the concept created or was it just the concept itself of Ai creating something.
00:33:39.630 –> 00:33:47.520 Joseph McElroy: I was wondering Well now, what is it creating that made it the concept see so seems us dependent, so you got my it’s like a whole it’s the whole.
00:33:47.550 –> 00:33:51.780 Joseph McElroy: Yes, it should I’m going to the minute I get off here, I will be like going crazy looking it up.
00:33:53.850 –> 00:34:07.830 R. J. Talyor: When there’s there are more and more folks were manipulating Ai to create or kind of curating Ai content okay I created things to say, this is cool this is new is the new way of thinking.
00:34:09.510 –> 00:34:14.730 R. J. Talyor: or thinking in quotes I guess but yeah I think that Ai-driven creativity of where we’re headed.
00:34:15.420 –> 00:34:25.380 R. J. Talyor: Where Ai can inspire or react to or assist humans and then kind of next version of creating because ultimately machines can’t think.
00:34:25.680 –> 00:34:33.060 R. J. Talyor: You know machines don’t have memory, they don’t have emotions those types of things, so all that they’re doing is trying to replicate what humans have programmed to do.
00:34:33.780 –> 00:34:43.980 R. J. Talyor: In a way, you know so humans, I think, are the ultimate creators, but then Ai can be an assistant or tool along that journey and then we’ll see what the outcomes are.
00:34:45.060 –> 00:35:06.090 Joseph McElroy: Right now, as pulling from data right, so the data is past information, I mean, even if it’s a microsecond in the past its still past information so it’s working on everything patched right it’s can you take, can you take the ducks things into making and create that as future data.
00:35:06.780 –> 00:35:09.180 R. J. Talyor: Well, that that’s a question like.
00:35:12.270 –> 00:35:20.100 R. J. Talyor: I don’t know it gets the short answer you can predict, but like when we talk to customers about our platform, it has an accuracy rating.
00:35:20.400 –> 00:35:38.760 R. J. Talyor: associated with it, so it’s never 100% accurate So yes, it can predict what the future will be but it’s not at 100% and so if we tell you to know any statistical model has some sort of error percentage in it and that’s where like there’s a question or an issue so like.
00:35:40.110 –> 00:35:47.610 R. J. Talyor: If you can create massive amounts of content that gets great results but 5% of the time it doesn’t make sense.
00:35:47.910 –> 00:35:57.030 R. J. Talyor: Are you comfortable with that or what’s your threshold, does it have to be 99% or 99 and a half percent or something and like even humans make spelling errors or.
00:35:57.570 –> 00:36:04.410 R. J. Talyor: modify like I think there are homophones like they’re in there, you know so they might like tell them wrong.
00:36:05.040 –> 00:36:13.020 R. J. Talyor: And like we are tolerant as humans have human spelling errors, but it seems that when a machine makes a similar error.
00:36:13.740 –> 00:36:24.450 R. J. Talyor: Humans are like see how it’s not accurate I knew it wasn’t going to be accurate, you know so it’s funny like we have an expectation that Ai generated content or creativity generated by.
00:36:25.680 –> 00:36:30.060 R. J. Talyor: needs to be 100% accurate but we’d like to let humans make mistakes, but not machines.
00:36:31.350 –> 00:36:32.640 Well, you know I just think that.
00:36:33.930 –> 00:36:44.130 Joseph McElroy: The interesting thing that you know talking about mistakes and humans make mistakes, and then you know, sometimes you know when humans make mistakes, they internalize it and they like it.
00:36:44.730 –> 00:36:45.420 Right yeah.
00:36:46.920 –> 00:36:53.640 Joseph McElroy: yeah and they know, for example, who could have predicted little dos doing you know, though, than that.
00:36:53.970 –> 00:37:02.400 Joseph McElroy: Yes, we saw right, other than himself, because he liked it right he had been playing around experimenting and decided he liked he said.
00:37:02.610 –> 00:37:12.030 Joseph McElroy: He said, well, I think other people will like it, then he planned, the whole thing that social media did all sorts of stuff and nobody would have given it any kind of possibility could Ai have done that.
00:37:12.300 –> 00:37:16.200 R. J. Talyor: One I mean no not without human curation.
00:37:16.500 –> 00:37:24.300 R. J. Talyor: Like I think that we as humans have to understand what the mistakes are whether they’ll fit in or not fit in and like from a marketing perspective.
00:37:25.230 –> 00:37:35.340 R. J. Talyor: We have to worry about our brand identity, so those types of things, and so the variant or the variations Ai could generate those variants but the human has to select.
00:37:36.060 –> 00:37:51.270 R. J. Talyor: What risks they want to take us with those variants, so I think that you have to have the human intervention from a creativity standpoint, how to position and even what you just said about little nods which I love that we’re talking about this.
00:37:52.830 –> 00:37:54.720 R. J. Talyor: But you know he planted he.
00:37:54.750 –> 00:37:55.230 R. J. Talyor: planted some.
00:37:55.290 –> 00:38:04.200 R. J. Talyor: Media presence, he playing how to position it those types of things and all of that is the human experience that has to be curated are managed by a human.
00:38:04.680 –> 00:38:13.110 R. J. Talyor: Even if an Ai Bot or something computer-generated was new enough or interesting enough, and so we kind of positioned in the right way.
00:38:13.710 –> 00:38:15.030 Joseph McElroy: so that you know that.
00:38:17.190 –> 00:38:32.970 Joseph McElroy: That was a nice little roundabout way to get to that question about what is Ai good at what are humans good at, and I think that you know you know, the idea that you know that this curation is a group difference right.
00:38:33.210 –> 00:38:41.490 R. J. Talyor: yeah yeah I mean curation you know there’s judgment in that you know, Ai is not good at ethical decision making.
00:38:42.270 –> 00:38:56.850 R. J. Talyor: You know they’re like classic examples of now of like Ai in self-driving cars that can’t tell the difference between like a snowman and a real person those types of things in you know therefore would run over.
00:38:57.960 –> 00:38:58.890 Joseph McElroy: A real burden.
00:38:59.190 –> 00:39:05.940 R. J. Talyor: On you know, even though and that’s an interesting one, because, like humans kill a lot more people in vehicles than machines do but.
00:39:06.210 –> 00:39:12.090 R. J. Talyor: The threat or the feeling is it like Robocop is going to come and just annihilate your your your neighborhood or something.
00:39:12.990 –> 00:39:25.050 R. J. Talyor: Which is a real threat, I think a larger threat, just to be really good be fair, is ethics and Ai and trained Ai or even trained Ai can start to make.
00:39:25.650 –> 00:39:46.260 R. J. Talyor: Pretty racist or misogynistic or otherwise just poor choices that could put yourself and your brand and our world at risk, so um you know there’s a lot of questions regarding what he is good at in regards to all sorts of other things, but ethics, I think, has to be one of the tops.
00:39:46.740 –> 00:39:52.110 Joseph McElroy: Things that because it is because the is that because the algorithms are the data.
00:39:52.440 –> 00:39:55.440 Joseph McElroy: hello, with the bias.
00:39:55.860 –> 00:40:05.370 R. J. Talyor: it’s both because a lot of them, for example, the facial recognition algorithms that are being used wife and we have been to all white male faces.
00:40:06.060 –> 00:40:18.300 R. J. Talyor: And can’t recognize other types of faces and therefore it is either you know so, then it is is biased effectively towards one or more types of faces.
00:40:19.320 –> 00:40:33.300 R. J. Talyor: And without that training set rich in its representation action there is a gap, and then the people who program the algorithms that go across that data set.
00:40:33.900 –> 00:40:40.740 R. J. Talyor: also tend do you know the tech world we send we tend to see a certain type of person working in there, historically, as well, so.
00:40:41.010 –> 00:40:50.310 R. J. Talyor: there’s representation problem in the data set itself, as well as with the programming of it, and so that creates some real problems, I can go and all sorts of examples there.
00:40:51.090 –> 00:40:53.250 R. J. Talyor: But you know brands gotta figure it out.
00:40:54.030 –> 00:40:58.470 Joseph McElroy: So the current in the current portland so today the.
00:40:59.760 –> 00:41:00.750 Joseph McElroy: colonizers.
00:41:01.680 –> 00:41:02.940 Joseph McElroy: yeah yeah.
00:41:03.210 –> 00:41:13.770 R. J. Talyor: I mean it’s yeah but the tricky thing is that the human or the brand will be held accountable for it, even if we say Oh, the Ai did it or something now we’re responsible for it.
00:41:13.800 –> 00:41:19.020 Joseph McElroy: And how, how do pattern89, deal with that ethical to certain other Ai.
00:41:19.350 –> 00:41:24.000 R. J. Talyor: yeah it’s actually a really, really important piece of our business.
00:41:24.480 –> 00:41:30.840 R. J. Talyor: At the core, we’ve made sure that our company is in the team, we have one of our core values is building a company that represents.
00:41:31.170 –> 00:41:40.080 R. J. Talyor: The country, and so our team is half man half women it’s 25% of black people of color so we’ve got just people who are working on these problems.
00:41:40.770 –> 00:41:50.670 R. J. Talyor: The second is we remove all racial and ethnic markers from our data so that means that we can’t always answer all the questions, but because we.
00:41:50.910 –> 00:41:59.820 R. J. Talyor: don’t have the data set or the Ai trained on that data set we have can’t answer questions of like will a Hispanic person work better in this out of there, so now on the couch or.
00:42:00.090 –> 00:42:05.910 R. J. Talyor: With a black person working better, we don’t we won’t answer that question because we don’t trust the data enough to answer it.
00:42:06.390 –> 00:42:17.160 R. J. Talyor: And then the third is, we have an Ai Council that takes all these examples from our team, as well as customers and reviews them on a quarterly basis because we don’t have all the answers.
00:42:17.730 –> 00:42:20.520 R. J. Talyor: But we want to get there, and so we’re working on that.
00:42:21.210 –> 00:42:27.930 R. J. Talyor: You know, really on a daily basis, but on a quarterly basis we kind of take a snapshot in time and the Council looks at all these examples and figures out.
00:42:28.170 –> 00:42:36.840 R. J. Talyor: How can we tweak, how can we change, how can we update to get to a better place where we could accurately answer those questions in a way that’s respectful and appropriate.
00:42:39.570 –> 00:42:50.460 Joseph McElroy: So when we come back, we will have finished up with a little bit more about a nice place in the world of the pattern89 dealing.
00:45:23.940 –> 00:45:32.490 Joseph McElroy: This is Joseph’s Franklyn McElroy host of the wise content creates wealth podcasts and my guest is RJ Taylor.
00:45:33.900 –> 00:45:39.420 Joseph McElroy: So RJ, what do you think the most successful marketing teams will be doing one here and in five years.
00:45:40.470 –> 00:45:54.870 R. J. Talyor: Well, in one year they’ll have completed their kind of first test runs of Ai as a part of their marketing stack um you know that now’s the time to have those experiments in place trying things.
00:45:55.860 –> 00:46:03.630 R. J. Talyor: Because you in five years, the marketing team that hasn’t done that isn’t working at that company anymore.
00:46:04.500 –> 00:46:05.580 R. J. Talyor: you’ve been left behind.
00:46:06.600 –> 00:46:20.370 R. J. Talyor: You know I I worked in the mobile space when the iPhone first came out and in 2007 and one of the fame I have very few but one is that I was third in line for an iPhone.
00:46:20.880 –> 00:46:36.510 R. J. Talyor: When they first came out and at that time 12% of the US population had a smartphone device like there was an Internet power they’re all Blackberry spec at that time, and nowadays we talked about mobile marketing just as part of our marketing stack and that’s from just from 2007.
00:46:38.130 –> 00:46:46.980 R. J. Talyor: 2020 like crazy how much things have changed in 14 years and I think in five years nobody’s going to be asking you like hey what’s your Ai strategy for marketing.
00:46:47.430 –> 00:46:54.090 R. J. Talyor: everyone’s just going to be assuming that it’s embedded and in the same way that you don’t say hey what’s your mobile marketing strategy just say.
00:46:54.360 –> 00:47:00.690 R. J. Talyor: what’s your marketing strategy and of course it’s mobile in five years we’re going to be saying tell me about your marketing strategy and of course you’re using I.
00:47:00.810 –> 00:47:12.180 Joseph McElroy: So I agree with you, I think that SEO, especially since the cove is just accelerated and radically I mean I would probably mean thinking about all the Ai stuff that we’re doing now.
00:47:12.420 –> 00:47:13.410 Joseph McElroy: For seo.
00:47:13.800 –> 00:47:14.250 Joseph McElroy: If that.
00:47:14.820 –> 00:47:17.130 Joseph McElroy: hadn’t happened, so I guess yeah.
00:47:17.880 –> 00:47:26.130 Joseph McElroy: What do you think what was the, what do you think your mom evolution will be to meet that changing marketplace.
00:47:26.250 –> 00:47:29.370 R. J. Talyor: yeah so you know today we predict.
00:47:29.490 –> 00:47:32.490 R. J. Talyor: An analyzed creative across some channels.
00:47:33.990 –> 00:47:42.060 R. J. Talyor: And across all channels, at that point, so we can understand you know what the, you know as we think about marketers think about.
00:47:42.540 –> 00:47:48.900 R. J. Talyor: All the different touchpoints that a marketer might experience our brand will have built our software out so that it.
00:47:49.620 –> 00:48:06.870 R. J. Talyor: Can analyze and predict across all those touchpoints with a nuanced answer as a prosecutor to them, I also think that our platform will go from just creating recipes to actually executing those recipes meaning using natural language generation or an LG as well as dan’s which are those.
00:48:08.250 –> 00:48:21.660 R. J. Talyor: Those are an application or the application of Ai that actually can generate content that meets the recipe so it’ll be auto-generated content auto-generated imagery auto-generated from Jim auto-generated video.
00:48:22.170 –> 00:48:34.170 R. J. Talyor: Based on that recipe, and then it’ll really be about curation ethical judgment emotional review and brand management on the marketing side so we’ll have built it out to that point.
00:48:34.860 –> 00:48:36.600 Joseph McElroy: Who should reach out to you right now.
00:48:38.340 –> 00:48:48.660 R. J. Talyor: Well, you know I’m we work with about half of brands and agencies, and so, if you’re a director of digital or.
00:48:49.740 –> 00:48:57.750 R. J. Talyor: A Head of creative at a brand or a digital marketing agency, you should talk to us, or you should be investigating space we have.
00:48:58.110 –> 00:49:14.670 R. J. Talyor: A number of different free works resources or I can point you to some great groups like the marketing Ai institute just because everybody needs to be learning about this stuff but brands are agencies that are you know really want to stay ahead of the coming trends on Ai.
00:49:14.880 –> 00:49:18.270 Joseph McElroy: Cool, and how does somebody follow you or contact you.
00:49:18.660 –> 00:49:28.590 R. J. Talyor: yeah pattern89.com is the best spot there you can also email me at rj@ pattern89.com and I’ll get you the right place or answer your questions directly so.
00:49:29.370 –> 00:49:44.490 R. J. Talyor: we’re on twitter and Instagram and Facebook and we post some fun stuff out there is, we can call all of that creative data and then find all sorts of random things like what ice cream is going to be trending are that everything so it’s kind of fun to follow as well.
00:49:45.090 –> 00:49:47.040 Joseph McElroy: cool well, thank you for being on our show today.
00:49:48.780 –> 00:49:53.160 Joseph McElroy: very informative very interesting and you’ve given me a lot of things to look up now.
00:49:54.540 –> 00:49:57.330 R. J. Talyor: Well, began to enjoy motel hear something soon so can.
00:49:57.330 –> 00:49:59.190 Joseph McElroy: We talk good you’re always welcome.
00:49:59.580 –> 00:50:11.400 Joseph McElroy: Thank you um so I just want to close and remind you that I am you could go to wisecontentcreateswealth.com to find out more about this podcast you can also see the live zoom stream on.
00:50:12.000 –> 00:50:25.830 Joseph McElroy: Facebook.com/wisecontentcreateswealth run the talk radio.NYC network for live audio every Friday from one to two and I recommend.
00:50:26.370 –> 00:50:39.360 Joseph McElroy: You to come on and listen to us there’s also a lot of other great shows on this network all live, I think the one that procedure is the entrepreneurial web, which is a is a decent really nice show.
00:50:40.590 –> 00:50:47.730 Joseph McElroy: Talking for small businesses and understanding things that you can do to be successful on my company since 2014 is.
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