Podcasts about adsp

Drew and Money Mike give their incredibly late takes on the Super Bowl, Luka trade, and more on episode 166 of ADSP.

In this episode, Michael and Brent Zahradnik of AMZ Pathfinder look ahead to 2025 and talk about what's changing in Amazon advertising. From enhanced analytics and new data in Brand Analytics to AI integration and sponsored ad optimization, they dive into the future of digital advertising. You'll learn how Amazon Marketing Cloud is changing data analysis, what new creative possibilities Generative AI offers, and why Sponsored Display is becoming more dynamic. The focus also includes ADSP updates, process automation, and how these innovations can make your campaigns more effective. This episode is for anyone who wants to stay ahead in the world of Amazon advertising and adapt to the changes new technologies will bring. We'll see you in The PPC Den!

Merry Christmas from ADSP! --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Recorded live from unBoxed 2024 in Austin, we talk to Kelly MacLean, VP Amazon DSP at Amazon Ads about finding relevant audiences with ADSP, what we mean by relevance, and the power that exists for advertisers when AMC audiences and APC signals overlay - and we'll even touch on all of that in relation to CTV buys. You won't want to miss listening in to this episode, and be sure to check out every episode we publish from unBoxed 2024!

We're back with another episode of the Weekly Buzz with Helium 10's Principal Brand Evangelist and Walmart Expert, Carrie Miller. Every week, we cover the latest breaking news in the Amazon, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level. Amazon's Prime Big Deal Days was the company's biggest October shopping event ever https://www.aboutamazon.com/news/retail/prime-big-deal-days-amazon-fall-october-prime-day Amazon's new AI Shopping Guides make it easier to research product types and buy smarter. https://www.aboutamazon.com/news/retail/amazon-ai-shopping-guides-product-research-recommendations TikTok Rolls Out Automated Ad Targeting Options for the Holidays https://www.socialmediatoday.com/news/tiktok-rolls-out-automated-ad-targeting-options-holidays/729142/ You can now reward customers for engaging with your Amazon ads https://advertising.amazon.com/en-us/resources/whats-new/reward-customers-for-engaging-with-your-ads/ Exciting news from Helium 10 includes the integration of Adtomic into the Diamond plan, offering efficient PPC campaign management with Advertising AI, and introducing a new feature that Helium 10 customers have been asking for for years is finally here! Variation Sales Strength is basically showing you which of the variations have the most sales. And lastly, don't miss our training for the Inventory Heat Maps tool to optimize sales strategies during the holiday season In this episode of the Weekly Buzz by Helium 10, Bradley covers: 00:54 - Oct Prime Day Success 02:22 - AI Shopping Guides 03:47 - VISA Verification 04:40 - AWD Too Full? 05:30 - TikTok Auto Ads 07:24 - US-UK Shipment Rates 08:05 - Customer Reward Ads 10:21 - 2024 Holiday Returns 11:01 - Sponsored Display Depreciation 11:45 - New Feature Alerts 14:14 - Freedom Ticket Webinar 14:42 - Elite Workshop in Milan, Italy 15:26 - Training Tip: Inventory Heat Maps ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On Youtube: youtube.com/@Helium10/videos Transcript Carrie Miller: A new feature that Helium 10 customers have been asking for years is finally here. There is a new VAT tax policy that you need to pay attention to. Amazon warehouse distribution might be too full and TikTok rolls out new automated ad targeting this and more. On this week's episode of the Weekly Buzz.   Bradley Sutton: How cool is that? Pretty cool, I think. Hello everybody, and welcome to another episode of the Serious Sellers Podcast by Helium 10. I'm your host, Bradley Sutton, and this is the show. That is our Helium 10 Weekly Buzz, where we give you a rundown of all the news stories that are going on in the Amazon, Walmart, e-commerce world. We highlight the latest new feature alerts from Helium 10, and we review a training tip of the week that will give you serious strategies for serious sellers of any level in the e-commerce world. Now, today, our host is going to be Kerry Miller. So, Kerry, take it away and let us know what's buzzing.   Carrie Miller: Let's go ahead and get into the first article. That's October Prime Day Big Deals, and we have an article that was released by Amazon and they announced that prime big deal days was its biggest October shopping event ever. Okay, so that's pretty exciting, especially going into Q4. Here. They said that more prime members shopped compared to last year and took advantage of early holiday deals, marking the kickoff to the holiday season with higher sales and more items sold during the two day event than any previous October shopping event. So that's very good news, I think, for a lot of us sellers. Globally, prime members saved more than $1 billion across millions of deals, including on seasonal merchandise and gifts, so it was definitely a good time for shoppers as well. And if we scroll down a little bit more in this article, it goes on to talk a little bit about the role that AI actually played in this event. So Rufus, which is the generative, ai powered conversational shopping assistant, helped millions of customers in the US answer questions on a variety of shopping needs and products in the Amazon store. Rufus can now help make tailored deal recommendations, making it easier to discover great gift ideas at a discount, and customers also use something else called inspire, which is an in app mobile experience that helps you discover new products with a personalized feed, amazon lens, which is a visual shopping tool that identifies objects and finds similar items on amazon, and then also they have something called the ai shopping guides, which basically leads us into our next article, which is amazon's new ai shopping guides that make it easier to research product types and buy smarter. So let's go ahead and talk a little bit about this.   Carrie Miller: So Amazon has actually introduced AI shopping guides to simplify product research by consolidating key information and recommendations for over 100 product types. These guides use generative AI to deliver relevant details and product options quickly, making it generative AI to deliver relevant details and product options quickly, making it easier for customers to make informed purchase decisions. The AI guides are available on Amazon's mobile app and the website and are powered by Amazon's Bedrock large language models, enhancing their ability to offer personalized shopping results. So if you want to go ahead and take a look with me so we can see what this actually looks like, you can see right here that there's actually some recommendations to help shoppers to make better decisions. So, for example, if we go over to this one on the right, it says you know factors to consider the display type, the resolution, all of that great information so you can click on that and get more information about that. Or you can also go down. You can see that you can shop by popular brands, so you can click on the types of brands and then they'll also kind of have overview of the actual product. So this is quite interesting, making it, you know, kind of an interesting AI backed approach to this year's October event. So we'll probably see a lot more of this AI playing a part in the whole finding products, you know, on Amazon for customers. So we'll see how this goes and see how it improves our sales.   Carrie Miller: So let's go ahead and get into the next thing and this is kind of word on the street Maybe there isn't really an article about it so I don't have anything to share with you but there are some changes to Amazon VAT or the Visa program. We do have some sources that say that Amazon has actually updated its VAT compliance requirements for sellers. So if you're part of the Amazon VAT information sharing agreement or visa program, amazon is no longer handling VAT compliance verification and now, even if you've already switched over to another provider, which I'm sure many of you already have. Sellers must actually inform Amazon about the change or you're gonna risk suspension, and this affects both US and European sellers, and it's similar to last year's seller verification process, where, when you fail to update the details, it led to account suspension. So you definitely want to take some action. If you need some more information about this, you can actually contact Avask. They're in our partner hub. You can find them at h10.me. Forward slash Avask and they can help answer any of your questions.   Carrie Miller: All right, the next story is about Amazon warehouse distribution and whether or not it's actually full, and we're going to say AWD for short, which stands for Amazon warehouse distribution. We have heard from multiple customers in Amazon seller groups that they are getting messages from AWD saying things like this Sorry, this time we don't have enough space available for your inventory. We are unable to accept your shipment due to capacity limit. Try reducing your shipment volume or try again in seven days. Now I think this is a very big issue for AWD if they want sellers to start moving all of their logistics to AWD Now. I know a lot of sellers are trying to take advantage of this and Amazon maybe went pretty quick to market with this, but we really want to know in the comments if you've seen this message and what you're doing about it, and are you going to wait and send an inventory to the warehouse, or what are you going to do? What are your plans? Let us know in the comments below.   Carrie Miller: All right for this next story, we have TikTok launching new automated ads. They're rolling them out for the holiday season, so let's go ahead and take a look at the article. So TikTok has announced a new fully automated ad solution called Smart Plus, which will take care of the whole creation from ad creation, placement and bidding process for you. So if we scroll down, you can see a little bit more about what actually the Smart Plus automated ads program is, so you can get more details there. But basically, tiktoks explained it as Smart Plus automates the performance advertising process across targeting, bidding and creative to deliver the right ad to the right person to offer the best performance. Advertisers simply input their assets, budget and targeting goals and smart plus automatically creates or selects the best creative asset. Okay, so basically they're kind of doing everything for you AI run, ai generated. I'm not sure how many of us feel about all this being kind of AI generated and not having any involvement in it, but it is kind of interesting to kind of run some of these ads in addition to the other ads that you might be advertising, and so let's go ahead and look at some of what they're saying. So advertisers using smart web campaigns to optimize for value have actually seen a 52% improvement in the return on ad spend. So that is actually really good news as well. And if we scroll down a little bit more, tiktok is also rolling out GMV Max, which automates TikTok shop campaign creation with the aim of increasing your TikTok shop gross merchandise value. And they further go on to say a little bit more about this down below here. They said GMV Max considerably simplifies ad operations, cutting campaign setup time in half, and allows sellers to reach their audience across all shoppable placements on TikTok, including the for you feed, shop tab and search within a single campaign. So go ahead and check those out. If you haven't checked out the TikTok ads. I definitely think it's a game changer and something you should really be taking advantage of in this Q4 season.   Carrie Miller: Okay, next up, amazon global selling. Send rate rejection is happening for the US to UK shipments, so, in a bid to make international shipping more affordable, amazon has actually announced a reduction in send S E N D rates for FBA shipments from the US to the UK, and sellers can now save up to 15% compared to what it was in July. The program offers seamless seller central integration, custom support, competitive rates, door-to-door delivery and shipment tracking, and this move is set to streamline logistics for sellers looking to expand to the UK market, making it easier and more cost-effective to grow their business globally, so might be a really good time to think about expanding to the UK. Okay, this next article. It's from Amazon, and now you can actually reward customers for engaging with your ads. This is quite an interesting and exciting new kind of announcement and I will definitely answer some of your questions that you probably have about this. But Amazon is basically introducing a new feature that allows advertisers to reward customers for engaging with their ads, so now sellers can create campaigns that actually offer incentives like discounts or promotions when customers interact with their ads, making it easier to drive engagement and conversion. Now this innovative approach aims to enhance the customer experience while boosting ad performance, and the integration is designed to be seamless within the Amazon ads platform.   Carrie Miller: So if we actually scroll down, you are going to be able to see what this creative looks like, and I'm going to just scroll. There's a little bit about the setup and I want to show you what it looks like. So, basically, what's going to happen is you're going to see within the searches or on your stores, there's these previews where you can get a $5 Amazon credit. So that is going to be kind of a big bold red thing on the actual. You know where people can click and you're going to be able to give that as an incentive for your products.   Carrie Miller: And there are probably some questions, like I had. I had I said well, who's going to pay for the $5 credit? Well, the answer is definitely you. So at the very bottom, where it says where do I access it, it says the rewards ads experience is currently available via the Amazon DSP within a component-based creative ad template. Advertisers will be billed for the cost of the distributed or rewards. So there you go, you're going to be paying for those $5 credits or whatever it is that you're going to do. Advertisers also have access to two net new metrics, which is reward grants the number of rewards distributed and reward costs, which is the cost of rewards distributed. These metrics are currently available within the ADSP campaign builder dashboards, but are not available via public API. So definitely go ahead and check it out. That's where you're going to really find all that information. So I am really actually curious to know how many of you think you would use this and do you think you might raise your prices to be able to take advantage of this. It's kind of an interesting thing, especially with margins kind of being a lot lower for a lot of people. So we'll see how that actually turns out. So go ahead and check that out, if you haven't already checked it out.   Carrie Miller: Okay, the next story is very important to know, and that is the returns window for Amazon is going to be extended for the 2024 holidays. So Amazon is actually extending its holiday returns window for 2024. Items purchased between November 1st and December 31st of 2024 can be returned until January 31st of 2025, except for Apple products, which have a return deadline of January 15th of 2025. This extended policy applies to all seller fulfilled FBA and Amazon retail orders. Now, while the returns window is longer, eligibility rules remain unchanged, and this extension is aiming to make holiday shopping more convenient for our customers. Okay, and the next piece of news there is a depreciation announcement reminder Sponsored display version two reporting endpoints will shut off October 31st 2024. So Amazon is set to depreciate its sponsored display version 2 reporting endpoints, with a complete shutdown planned for October 31st of 2024. Advertisers should transition to the new version 3 reporting endpoints to continue accessing sponsored display reports. Until then, expect increased throttling on the old version, and amazon encourages feedback on this change through its ads API support page on by October 15th of 2024. So for more details on all that, you can go to amazon's migration page.   Carrie Miller: Okay, so all those news stories were very exciting, but I think we have even more exciting news within helium 10 with our new features now. This next feature is something that a lot of people have been asking for, and I am very, very excited to announce it, because I've been asked this question for years actually, and we've been working on it for a long time. So I'm going to go ahead and share my screen. So this is just a search of coffin shelf and what I'm going to do is I'm going to actually go ahead and I'm going to pull our x-ray extension. Okay, so what I want to show you, which is already kind of clearly here, is I basically take this is our Manny's Mysterious Oddities product and I'm just going to expand this down and it's basically going to show us the variation sales strength with a graph. Okay, so this is basically showing you which of the variations have the most sales. So, for example, variation sales strength for this black one is obviously the big seller for us, and then you can see that there's a very, very tiny sliver of the pie here for purple, and then also a very sliver piece of the pie, maybe a little bit more, for the pink. So we can see that the top seller is the black one, then the pink one and then the purple one. So this is some great news and it's really kind of actually a teaser. Really, this is going to be a teaser for something that we're even getting for you even more data. So stay tuned for the launch of that. But in the meantime now you can see which variation, or child variation ASINs have the most sales.   Carrie Miller: This next feature announcement for Helium 10 is very exciting, and that is that Atomic is now included in the diamond plan. So now you don't have to pay separately for it, it's going to be all included with the diamond plan, and with that we've actually launched advertising AI. So you know, if you don't know a bunch about PPC or you don't feel very strongly about it, you can actually give Atomic your ASIN and your ACoS goals and that's it. And Helium 10 will create your campaigns and optimize them by itself. So I'm going to actually show you how this works by sharing my screen. Okay, so if you go into Atomic, you're going to click on Atomic and go down here to the bottom, where it's the AI advertising very bottom icon and all you would do is you would click on your product goal and you're going to select your ASIN, say, you're going to do this one, you're going to set your ACoS goal and your daily budget and, if you want to, you can add some keywords in there and then you're going to basically go ahead and launch that campaign. So we're going to go into detail on how sellers can use Adtomic and save time and money in a live workshop with expert Destiny with Sean on the 22nd of October, so mark your calendars for that. We're going to be doing an in-depth PPC webinar, you know, for beginners, to help you to understand and use ad atomic better and more efficiently.   Carrie Miller: Next, we actually have an announcement. That is, our monthly freedom ticket training with Kevin King. So Kevin King is actually bringing on Mark Degrassi I'm not actually sure how you say his name, but Mark Degrassi, I think, is how you say it he's going to be actually talking about why branding has always been your biggest marketing problem and how AI is going to solve it. I actually did see him speak at one of Kevin's events and he's very, very good. So to register for this special training, you can go to the link below.   Carrie Miller: Okay, and another announcement that we have which is very, very exciting is that our next Helium 10 Elite Workshop is going to be in Milan, Italy, on November 11th. Bradley is going to be speaking there, Mansour is going to be speaking, Jana, who also does kind of listing optimization in other languages, and a few more top level speakers are going to be in attendance and speaking at this event. Elite members actually can go for free. So elite members just need to check the Facebook group for their free code, but everyone else you can actually attend, still for a fee. So just go to h10.me forward slash Milan to get your tickets before it sells out Right now. We have it on an 80% of the regular price special right now. So if you want to buy those tickets. You can go ahead and get them for a reduced price.   Carrie Miller: And, last but not least, I'm very excited to go into our training tip of the week, which is our inventory heat maps. Okay, so inventory heat maps are available in helium 10. I'm sharing my screen now and this is actually in profits, and what you would do is you go to the heat maps and you're going to click on inventory heat map. You can change what to whatever product you want. So this is our coffin shelf, so we have our coffin shelf selected and you can actually see where our inventory is located in every single part of the United States right here. So this is a really, really helpful tool, especially going into the holiday season, where you can actually, you know, see where your inventory is.   Carrie Miller: And something else that we do have in conjunction with that is the sales heat map, so you can actually see where the majority of your sales are in this heat map and you can go back and say is my inventory kind of matching up with those areas? Or maybe there's some areas where your sales are kind of up or have been in the past, but maybe they are not stocked with inventory. So you can go ahead and stock them with inventory, but go ahead and check out this inventory heat maps. Maybe, if you need some more distribution, you can figure out ways to kind of push inventory to other areas of the US and so that you can expand your reach. That is basically all that we have for this week's episode of the Weekly Buzz.   Carrie Miller: So what I would actually like for you to do if you have not done this, we do have a YouTube channel, and so we would love for you to go ahead and subscribe to our YouTube channel. We do lots of great updates, we do the Weekly Buzz on there, but we also have a lot of great training for helium 10 and just selling on Amazon in general. Lots of incredible information. So subscribe to our YouTube channel so that you can be the first to know the up-to-date information about selling on Amazon and other platforms. We look forward to seeing you next week again on the Weekly Buzz. I do believe Bradley will be back, so we'll see you again next week to see what's buzzing.

The Boston Celtics are the 2023-2024 NBA Champions! I roll my eyes as Money Mike takes his victory lap, as well as discuss the Lakers hiring JJ Reddick as their new head coach, Trevor Lawrence's new contract, and more on this offseason episode of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Drew and Money Mike review Championship weekend, NBA, and college basketball in episode 134 of ADSP! --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Drew and Money Mike cover all of the fallout of Super Wild Card weekend as well as preview the matchups coming up for the divisional round on episode 132 of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Disappointment. Devastation. Anticipation for an exciting NFL playoffs. All of this and more on episode 131 of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Massive playoff implications in week 18 for two of the staple teams of the show. Drew and Money Mike cover this as well as the exciting first round of the college football playoff on episode 130 of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

The Jaguars likely have one more chance against the Panthers to get right and win the division. Drew and Money Mike cover this and more on episode 129 of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Drew and Money Mike cover all of the fallout from the plethora of unexpected outcomes of Week 15. Can the Jags get things going or will they continue to embarrass themselves? Will the Bills be able to go on a run to successfully defend their division title? Are the Eagles in real trouble now and going forward? All of this and more on episode 128 of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Drew uses episode 126 of ADSP as a chance to unload his frustrations from the MNF matchup in Jacksonville. He and Money Mike also give our Q3 rankings for each conference. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

It's been 12 years since the Jacksonville Jaguars competed on Monday Night Football, so Drew is obviously amped up on episode 125 of ADSP to preview the Jags' upcoming matchup against the Bengals, as well as review a Week 12 filled with closely contested and poorly officiated games. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Drew and Money Mike discuss how all of the teams of ADSP seem to be trending in the wrong direction (besides the Vikings), and preview Week 11 of the NFL season. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Happy Halloween from ADSP! Drew and Money Mike give their 2nd quarter conference power rankings, preview week 9, and talk NBA, MLB, and boxing on episode 121 of Another Damn Sports Podcast. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

Join us for a fascinating discussion as we unpack Amazon unBoxed 2023, exploring the most exciting releases such as generative AI and more that can level up your advertising game. Our co-host from Pacvue, Anne Harrell provides us with a unique perspective on the advertising industry. Let's start with our chat with Jeff Cohen, Principal Evangelist, Advertising API at Amazon, as he shares his transition journey and the biggest differences he's noticed. Listen in as we dive into the role of ad tech in digital transformation and its implications for brands. We examine Amazon Ads' new offerings like generative AI and sponsored TV, which promise to revolutionize brand imagery and audience engagement. Get the inside scoop on Amazon PPC and new-to-brand metrics that could redefine your brand's success measurement. We also explore Amazon Publisher Cloud, a game-changing technology for publishers that promises unique and differentiated opportunities for advertisers. Get to know Miranda Chen, the director of growth and modernization for Amazon Marketing Cloud, as she walks us through its potential. Learn how lookalike audiences can help your brand reach new customers and how templatized analytics can make AMC more accessible. We also examine Amazon Marketing Stream and Rapid Retail Analytics, which provide valuable data on retail signals. Discover how sponsored products can appear on platforms like Pinterest and the features that make Amazon's new Sponsored TV offering a game-changer. All this and more, right here on our podcast!   In episode 504 of the Serious Sellers Podcast, Bradley, Anne, and our special guests discuss: 00:00 - Amazon unBoxed 2023 04:31 - Insights on Amazon and Advertising Growth 08:29 - Sponsored TV and Ad Tech Announcements 12:29 - Embracing Change in Amazon Advertising 20:40 - Amazon Advertising Full Funnel Solutions 23:39 - Benefits and Capabilities of Demandside Platforms 28:25 - Lookalike Audiences for Reaching New Customers 34:59 - Amazon Marketing and Rapid Retail Analytics 41:15 - Amazon's Sponsored TV Announcement ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/video Transcript Bradley Sutton: Today we've got a special episode here at Amazon Unbox 2023 where we're going to talk about all of their releases, like generative AI and sponsored brand hats, and also a lot of cool things like sponsored TV. How cool is that? Pretty cool, I think. If you're like me, maybe you were intimidated about learning how to do Amazon PPC, or maybe you think you just don't have the hours and hours that it takes to download and sort through all of those sponsored ads reports that Amazon produces for you. Adtomic for me allowed me to learn PPC for the first time, and now I'm managing over 150 PPC campaigns across all of my accounts in only two hours a week. Find out how Adtomic can help you level up your PPC game. Visit h10/adtomic for more information. That's h10.me/adtomic. Hello everybody and welcome to another episode of the Serious Sellers Podcast by Helium 10 I'm your host, Bradley Sutton, and this is the show that's completely BS free, unscripted and unrehearsed organic conversation about serious strategies for serious sellers of any level in the e-commerce world. We're here at Amazon Unboxed in New York. I've been on the road for like three weeks and there's a second there where I wasn't quite sure where. I was. I've been in so many countries lately, but we've got a co-host today and from Pacvue, and how's it going? Anne: Great. How are you doing? Bradley Sutton: I'm just delightful. Now, what is your background? What do you do at Pacvue? Anne: Yeah, so I'm a product solutions director for DSP at Pacvue, so I do basically anything related to DSP and AMC help with our product road mapping, help with strategy for some of our enterprise level clients doing customer within AMC marketing you name it, I probably do it. Bradley Sutton: How long have you been at Pacvue? Anne: I've been at Pacvue for coming up on four years now, so about three and a half years total. A lot has changed since I joined. I started at Pacvue focusing on our managed services team, so I was primarily working with some of our strategic accounts, helping to build out their capabilities, doing strategy not just for DSP but across kind of omni-channel focuses, so for search as well. Prior to working at Pacvue, I actually worked in an agency in Austin, Texas, where I'm normally based, where I again did omni-channel strategy for enterprise level accounts. So my background is not just with programmatic and DSP, but I really gravitated to it. It's just one of those types of advertising channels that really allows you to have a lot of flexibility and creativity and really is conducive to innovation. So I really enjoy working on the DSP side of things. Bradley Sutton: Cool. Now what did you go to school for? Anne: I went to school for advertising, so I think I'm in the right place. Bradley Sutton: Okay, so you're right. Where did you go to school at? Anne: It's called St Edward's University. It's in Austin, Texas. So I've been in Austin since I went to school and I just never left about a decade. Bradley Sutton: Okay, I was about to say, because you don't sound like you were born and raised in Austin. Anne: I was not Okay. Bradley Sutton: What were you born and raised? Anne: Well, where I was born was Hattiesburg, Mississippi, but raised is a harder question. I moved about 10 times before I graduated high school. So you pick a state, I probably was raised there. Bradley Sutton: Okay, cool, yeah, because I was like wait a minute, she doesn't sound like a native Texan here. Anne: I know no accent yet. Bradley Sutton: All right, maybe 15, 20 years from now you might have a little twang in here. Anne: Right, right, I actually have a little bit of a Southern accent, I think I kind of got rid of it as I moved around. Bradley Sutton: Okay, cool. Now what are you? We're going to be talking to some people that probably people have never heard of podcasts, right? You know there are exactly executives here at Amazon who are you most excited to talk to today. Anne: If I were to have to say, my favorite subject matter is definitely the DSP AMC side of things, and I know that we're speaking to Kelly, who's the VP of DSP, so that's obviously a great place to start. We're also going to speak to Miranda, who is a director for AMC at Amazon, so I think there's going to be a lot of really great content around that. But in general, we're also talking to a lot of people who are very broadly focused across all of ads, and so I think we'll have something for everyone in this one. Bradley Sutton: Yeah, so you guys might be. There might be some newbies out there, don't tune out. This is stuff that you're going to need to know If you're an advanced seller. We're going to talk about some stuff that you guys might be able to use right away. That was just announced this week at Amazon Unbox, so let's go ahead and hop right into the interviews, all right. First up, we've got my brother from another mother here, jeff Cohen. Jeff, how's it going? Jeff: Everything is great. So great to see you, so great to see the whole Helium 10 Pack View team at this conference. It's great to catch up with everybody. Bradley Sutton: Yeah, Now you've been in the game longer than me. I remember the very first conference I spoke at. You were a speaker and you were already a veteran speaker at that time. You know side note that that conference there probably had the best food I've ever had at the conference. This is probably the second best Like. Jeff: I'm really impressed with the offerings here. Yeah, I'm curious what conference that is, but we don't have to go into that now. Bradley Sutton: But it was right here in New York. But you were on the SaaS side. You know, like I am now. Now you're at Amazon, like what's been the biggest you know kind of eye-opening thing or difference, now that you're on the other side of the aisle. Jeff: Yeah, interesting because I always like to joke that you know I drink the Amazon Kool-Aid before I ever like came here. I've been an Amazon like fanboy since like 2005 when I started textbookscom and it's been interesting because I'm in a unique position where I can bring the outside in and the inside out, and I think that you know, one of the many things that I've learned is maybe like the patience that you have to have with Amazon Maybe I didn't have as much patience when I was on the outside and the amount of time that it takes for some of the things to develop at Amazon. But when they like grow and they go to scale, it then moves at like this rocket ship pace. And so I think you're starting to see that with some of the tools, like AMC or even like you know what's happening with, like Amazon Studios and some of the new, you know productions that are coming out, you have this like rocket ship pace of what's happening in terms of the development and the new opportunities and how advertisers are using the technology, and so you have to kind of be patient when new things come out. So when you have a totally new product like Sponsored TV, you got to realize that it takes a little bit of time to kind of figure out how does it work into the individual advertisers media mix, and so that's the measurement work for each brand along the way. But then once it kind of gets up to full speed, you get to see like how it all works and you know and how it's really excelling brand growth. Bradley Sutton: Yeah, now we're going to be interviewing a lot of your colleagues here about some very specific announcements that happened here at Unboxed and before I ask you to give a rundown, you know, one of the things that was announced today it's on the website too is about the new generative AI that can help people doing Sponsored Brand Ads to generate some new creatives. Can you talk about that just a little bit? Jeff: Yeah, I think there were like three themes to the keynote today that I kind of jotted down. One was this idea of, like digital transformation and one was this idea of like how ad tech plays in in a responsible way. And then the third one was like how we reinvent, right, how we have reinvent what's possible. That was said numerous times, and I think Gen AI kind of fits into almost all three of those categories. And you know, we saw a lot of opportunity, a lot of new changes with Gen AI that have come out of AWS. We saw a lot of changes with Gen AI that came out of Amazon Accelerate, and now we're starting to see some come out of Amazon ads and I'll you know it's cool, right, we can take a product and we can turn that product into a full lifestyle image. And I think it's if you can just start to kind of think about where the possibilities go from there and what else brands can do and how we can enable that, either with what Amazon ads is doing or with what our partners are doing right, because it doesn't always have to be invented by us at Amazon it's really making it easier for brands to be able to take advantage of this technology that maybe was a little expensive or time consuming or difficult to use, and now it's all done with prompts and it's really simple and easy and that's really cool yeah. Bradley Sutton: Now, what about some of the other announcements? Say you have any. You know things that stick out that you're especially excited for. Jeff: Yeah, I think that what we're doing I mentioned it during our opening segment but Sponsored TV, I think is a really cool one and you know, in short, it's democratizing the ability for brands to be able to place ads into our streaming portfolio right so across Prime Video, free V and all the other channels that we have that I can't even remember them all because I'm supposed to think so quickly and I think that's really cool. And again, like there's no budget for that, you do have to have the creative, but Amazon has services that can help you make that creative or there's third parties that can help you make that creative. And I thought that was a really exciting announcement that was made, you know, on the heels of the announcement that was made a month ago. It was kind of reinforced about like what's happening with Prime Video and it moving to an ad supported network, creating a ton of, you know, new inventory for brands to begin to explore, and that's really super exciting as we start to go into it. And then there was like a bunch around ad tech and like what's happening around measurement and I know, like from you know, we're all near and dear to this idea that measurement is critical to our overall success and new metrics that are being released, making it available to understand how new to brand customers are impacting the business, and I think those are all really important for us to be thinking about because we have to close the loop. As advertisers and as we move to this cookie-less world right, it's signs point to it happening in 2024, we have to find ways to be able to close the funnel and understand how our ads are working, and Amazon's working really hard to help brands be able to do that, both within our suite and also when you're outside of our suite. Anne: Yeah, you mentioned the new. New to brand metrics, new to brand consideration metrics, I think is what we're calling them. Can you walk our listeners through what those really are? Jeff: Well, when you're looking at new to brand, right from like a super high level, new to brand is starting to give you this metric that's beyond ROAS, and it's starting to allow brands to look at who was not buying their brand within the last 12 months. Who's now buying their brand, and there's a suite of metrics now that are available for you to be looking at so that, as you're looking at different inflection points of your advertising, you can start to actually dial down into what action you're looking for people to take. And I think that's what's really cool. And it's like this evolution and brands have to think through this evolution like one of the simplest ways to think of this, right for people who maybe, like this concept's a little far for them. One of the simplest ways to think of this is around this idea that, like, if you're trying to get more awareness of your product, when you're looking at a video, you don't want to just see video views, you want to see how long they've been watching the video, and so you might start optimizing your campaign based on video length, how many people get to a half the video or three quarters of the video. And so, when you start to get into the new to brand type of metrics, you're actually saying, okay, I want incremental growth and by definition is, you know, sales you wouldn't have had before. One of the best ways to measure that is by people who are new to your brand, and so by having multiple metrics now to be able to understand how those are being impacted, you can now go back into tools like AMC and see how that funnel is working and which ones are driving the actual you know points that you want to drive and that that's really cool, right, it's, it's very excited about. Anne: I'm very excited too, yeah. Bradley Sutton: Awesome, all right. Last question for you know maybe not something that was released here at Unbox, but you know you're very active on LinkedIn. You see what people are posting about. You know I'm sure you look at metrics about what advertisers are using. Is there something in Amazon advertising that you feel is is kind of being slept on or not enough people are talking about it, that you think more people should be using it? Jeff: I mean more people should be using Helium 10 and Pacvue. Bradley Sutton: That goes without saying. Jeff: Okay, besides that, I think that you know, bradley, you and I get asked this question a lot, right? And? And our answer is always it depends. And I think that, instead of like saying, like this is a tool that you should be using or this is a a, an advertising function, you should be trying, I think that advertisers need to be open to the idea of test and learn, and I think the more you can train your mental model to work in a test and learn type of environment, the more open you are to change, because the only thing that's constant is going to be change. Right, and you started by saying like, where this industry was years ago when we both started, think about all the change that's happened and all the change that's occurred, and the brands that have not just survived but thrived through that are brands that have taken advantage of new opportunities, have invested by testing and learning and have then double down on the things that we're working. And I don't mean to oversimplify it, right, but it's not a very specific answer of like, use helium tens tool for keyword, blah, blah, blah, but it's like that's just one piece that you then use to implement the strategy. So work backwards. What's your goal. How are you gonna get there? And then figure out what tools you need to help you scale. Bradley Sutton: Awesome. All right, well, jeff. Thank you so much for joining us. We've been trying to get you on the podcast for like two years. I'm happy it finally happened and we'll definitely be keeping in touch. Appreciate it. Thanks, guys. All right, next up, we've got Kelly here. Now, Kelly, can you go ahead and introduce yourself? Tell us what you do at Amazon. Kelly: Absolutely so, Kelly McClain. I lead our demand side platform at Amazon, so we call it ADSP, and excited to be here. Bradley Sutton: Thank you for the time. Awesome, Awesome. Now you were, you know. Just saw you on stage a few minutes ago. What were your big reveals of the day? Kelly: Yeah, really good question. So I think if, if you think about Amazon ads and kind of where we've, where we've been and where we're going, we've really continued to make a lot of progress on on how, what we've been building a lot of our goals. We're focused a lot on interoperability with our ad tech solutions, so making it easier to use. We're focused a lot on performance improvements and then again, all of this is underpinned by making sure that we're putting privacy at the core of everything that we're doing, and so, with that in mind, we've been kind of launching this week in particular, a lot of different updates around, as you think about planning, activating and measuring, right. So within planning, we were launching Cross Channel Planner, which is a new way for you to really think about full, full funnel planning. We announced Amazon Publisher Cloud, which is the new clean room technology for publishers, which we're really excited about. We've been making a lot of performance improvements to the demand side platform, both with the user interface as well as the backend performance, and then we've also been been launching a lot more on our measurement capabilities, right, so making sure that marketers are getting the insights real time, making it a lot easier for them to kind of understand. You know how they should be looking at performance and where they should be making future investments. So we're excited about it. It's going to be a really fun week. Bradley Sutton: Awesome, awesome. We have our resident DSP nerd here, Ann, so she's going to go ahead and ask have some follow up. Anne: Definitely. Amazon Publisher Cloud was announced today, which is a big step for your publishing partners, obviously. Do you see any benefit for advertisers with this release? Kelly: Yes, definitely, and you know, I think to your point. I mean we've had, if you think about kind of clean room technology, right, really starting with cloud solutions. Then Amazon marketers cloud right thinking for marketers on how we can help support them. And Amazon publisher cloud it's going to be a mouthful after I'm speaking all morning. So excuse me, but you know that's really about a solution for publishers, right, giving them much more of the ability to pair any unique insights that they have right Demographics that they might know, of course, with folks who are coming to their site and then pairing that with Amazon Ads data. But the real core of that is, of course, providing opportunities for publishers but making it easier for them to connect with advertisers, right, advertisers. Often that you know there's so many different deal opportunities out there. A lot of the kind of deal process is very manual today and it's hard to discover the right deal and knowing which deal is right for you to reach your audience and so you know. A simple example, right is, if you're, let's say, you're a common website and you know the different demographics that are coming to your site every day, but by layering on Amazon audiences, you might realize, oh, I actually have pet food lovers who or sorry, pet food lovers- I have pet lovers who are coming to my site that I didn't realize, and so then that offers publishers the ability to maybe customize some unique deal opportunities to advertisers who might be trying to target pet lovers right, or specific brands who might be selling pet food, and it provides much more unique, differentiated opportunities, and we actually had a recent test with NBC Universal and they were able to offer three and a half times more reach than what they'd seen in the past, which is really exciting. So we see this as beneficial to both marketers and to publishers by really making it a lot more simple to connect with audiences. Bradley Sutton: At the end of the day, you know, pet food lovers are pets in about 10 years at Unbox. I predict like there's going to be some DSP where pets can actually base, you know, based on what they see on TV. Anne: They've already made more of the food, Exactly exactly, so we just launched something. Kelly: And if that's possible, maybe pets will be transformed into some sort of language that they can then activate. Anne: I think so, I think so. I don't even want to think about that. Kelly: I know, I never really thought about that? Anne: Yeah, that's very exciting. So, essentially for the advertisers listening, it's going to make your reach potentially broader but also more relevant, right? So the publishers have the ability to make targeting more relevant Absolutely Great. Another big announcement was the cross-channel planner. Yes, so can you walk us through how you think the ability to forecast reach will change how advertisers perform through their DSP program? Yeah, absolutely. Kelly: I mean, I think one of the biggest challenges today, as you all know right, is the fragmentation of channels and information and the overload of signals, right, and so that's where we're excited with Cross Channel Planner providing more of the ability to help marketers understand who they should be reaching right across the funnel and get much more information on how to kind of more efficiently drive their spend. In the past, we've launched Channel Planner, so that was our first product for mostly catered towards streaming TV, right, and how do you think about reach curves and how do you make sure that you're delivering against that for upfront pitches and so forth, and this is really kind of the next iteration to driving more efficient spend. So, ultimately, we think this is going to be kind of the next step of just providing much more granularity across all of the Amazon ads products on Amazon beyond Amazon, to make it easier to figure out. Okay, where should I be allocating my budget in the best way possible? We had a baby brand who actually was reaching audiences and they activated. So they leveraged Cross Channel Planner, activated via the DSP, and then they used custom advertising to direct customers to their online store and actually had four and a half times click through rate and 11% increase in impurchase rate, which was pretty cool to see. So again, I think the ability to plan and then easily activate is something that we're really committed to and excited about. Anne: Do you think this will be applicable for advertisers who are advertising both on Amazon and off, so more so that third party placement this will help plan for that as well. Absolutely. Kelly: So Amazon is known for retail media and driving conversions in the Amazon store, and we've been making so many investments over the past several years to really drive much more full funnel solutions and making all of our solutions work for all types of advertisers whether you're an advertiser that sells on Amazon or not because we're really excited about the power of again combining Amazon signals with marketers, third party and third party signals in a way that you can actually drive conversions, drive reach and have more of a full funnel experience and conversation. And that's where our Amazon publisher direct team comes into play, where we have a lot of these relationships and can reach anyone across the internet. But we've also been investing in modeled audiences and the performance through the DSP, and so a lot of people are kind of thinking about the loss of cookies in a negative way. We actually see this as an opportunity. We see this as a way to really innovate and rethink how marketers can potentially reach people in a privacy, safe way. That also drives performance, and so this is why we've also been investing in our modeled audience solutions right so, especially as we think about driving sales or reach off of Amazon, and we've been seeing over 25% increase delivery with a lot of the solutions, as well as 12% less cost per click per impression, which I'm barely able to talk. I'm going to lose my voice by the end of this day. But so, yeah, I think all of these from again, the planning, how you can activate all of the performance improvements we've been doing within our DSP we're excited. We'll continue to help accelerate marketers across full funnel wherever they want to reach people, which we're thrilled about. Anne: Definitely the ever looming third party cookie deprecation. Yes, exactly. Kelly: Yeah, a lot of energy, but understandably, and I think it's the right thing for us to rethink how we can really connect marketers and people in the right way, moving forward. Anne: Agreed, agreed. Another thing that was mentioned was the bidding enhancements that are now going to be available through the DSP program. So, essentially, you pick a KPI and you let Amazon do all the bid optimization in order to get to that KPI. Do you think this is going to change costs for advertisers, like, will CPMs go down in highly competitive categories or go up because of this automation? Kelly: Good question and, being a DSP enthusiast, I'm sure you know that our system has been really hard to use in the past. We've heard feedback from customers and partners that it was very complex, and so we've really been. So this goal seeking bidder, as well as re-augmenting our interface so that it's much more anchored on goals, has been paramount. We want to make it easier to use the DSP. We want to understand what is your goal, what are you trying to do? What outcome are you trying to drive for your business? And we've been making a lot of user interface improvements. And then the goal seeking bidder, on the back end to your point, I'm not sure what it will do in terms of you know, I can't talk to overall pricing in the system, right, but what I can say is that we're already seeing, you know, up to 40% reduction in CPAs, where we're able to better optimize against a goal, and we're seeing marketers just really gravitate towards the ability to kind of have much more of a simple experience. But we also believe in control, and so I think that's one of the powers that we think the Demand side platform has is, if you want all of the customization, if you want the complexity, we have that right. You can really adjust whatever types of bids that you want. You can layer on various different types of audiences. You can play around with different creatives. You can, you know, make a ton of different ads to try and test and at the same time, if you want a more simple, easy experience, you know what your goal is. We're able to help optimize and provide recommendations on the best way to do that. So we see it as kind of a nice balance in providing marketers kind of that wide range of capabilities, because we think there's a lot of different discussions in the industry right now on what way folks are going to be going. Bradley Sutton: Awesome. Well, thank you so much for your time and thank you for all you do at Amazon. We appreciate it. Kelly: Thank you for the partnership. Appreciate it, of course. Bradley Sutton: Thanks, thank you All right Now we've got Miranda. Miranda, this is our first time meeting you, so can you introduce yourself and tell us what your position is at Amazon? Miranda: Absolutely. I'm Miranda Chen. I'm the director of growth and modernization for Amazon Marketing Cloud, or AMC for short. I've been at Amazon for 11 and a half years now, live in the Bay Area and at AMC I lead several teams responsible for product and engineering, developing our audience activation capabilities, making AMC easier to use for more and more customers, as well as our go to market and customer enablement activities. Bradley Sutton: All right Now. We have a wide variety of listeners, anywhere from brand new people selling on Amazon to humongous billion dollar brands. Now, the billion dollar brands probably know all about AMC, but some of our newer ones might not understand that. Maybe there can feel like wait, marketing, stream, marketing, AMC, there's all these acronyms. So can you just give a quick, maybe 30 second, one minute introduction about what is AMC? Miranda: Yeah for sure. So Amazon Marketing Cloud, or AMC, is Amazon ads as clean room, so it's private and secure by design. Each advertiser has their own campaign signals of all their various Amazon ad spend within their particular instance. So we have signals from sponsored products, sponsored brands, streaming TV effectively like all of the actual campaign events and enables custom flexible analytics on those signals. And then it also enables advertisers to be able to upload their own first party signals or third party signals so you can think of, like product catalog, retail conversions, things like that, and so then you can generate really really flexible insights, typically using SQL, such as path to conversion, reach and frequency, overlap analysis and then actually take actions on them. Bradley Sutton: Cool, so most of our listeners probably weren't able to attend here at Unbox. What's the big release for your department here at Unbox? Miranda: Yeah, so we had a couple different releases specifically related to AMC that I can touch on. The first was AMC template analytics. So it takes some of our most popular queries, such as path to conversion, reach and frequency, and then allows users to be able to generate those insights without needing to touch any codes. So that's a pretty exciting development, particularly since we know that not everybody no SQL has taught themselves SQL overnight. And then the second one was AMC lookalike audiences. So we already have the capability where one can generate a custom audience based on specific parameters. So let's just say, an advertiser saw, wanted to create an audience of folks that had seen their detail page view or even added to cart but didn't actually activate and then wanted to drive better performance. They could create a particular, they could run a query, generate that insight and push that directly to the DSP. So that's one way. That's AMC rule based audiences. And then now we launched this enhanced capability for lookalike audiences. So it enables effectively exactly what it sounds like. So finding alike audiences based on that same seed, leveraging machine learning in a clean room capacity trained on Amazon, shopper and customer signals, but all still in a private and secure place. Bradley Sutton: All right, you're already starting talking technical terms that are over my head, so let me bring in the smart one of us. And to clean rooms. My room's not clean, I don't know. That's not what we're talking about here, but go ahead and please follow up and make me sound smart here. Anne: Yeah, of course. So I'd like to talk about lookalike audiences more specifically, because this is a way for brands to reach highly relevant, essentially new customers. So do you think this will change the way people are targeting that new to brand customer targeting incrementality? Miranda: Yeah, I mean we think it's going to be a great way for brands to be able to reach more and more shoppers. So, as I mentioned, the lookalike audiences are trained on based on deep, deep ML, based on lots of very, very, very good signals, and then the advertiser can actually leverage, can get to choose what's their specific seed for the audience, like what's the general size of the audience, based on their objective and then also the relevance. So I think it'll be a really key tool as a part of the marketer toolkit. Anne: Yeah, definitely. Do you think lookalike audiences are scalable for brands that maybe have lower purchase data or lower engagement data that are using AMC? Miranda: I think so. I think they're precisely like the brands that actually could benefit from it, right Because they have a small bit of deterministic signals that they actually want to be able to enhance. And then also because AMC is private and secure by design, as I mentioned, they can also choose to upload their own first party or third party signals and then create a seed based on that and then continue to go find additional customers that seem similar to that seed. Anne: Right, I love that you call it a seed, because it sounds like it will grow over time if you're utilizing these tactics, so that's a great way to phrase it. Miranda: Thanks, it didn't come up with it. Anne: Well, we'll give you credit anyways. So you talked about the AMC templatized analytics, right? Is this a way to make AMC more accessible and, if so, are the queries that are available through those templatized analytics? Will it grow over time? What's available through that? Miranda: Yeah, so we think it's a first step towards making AMC easier for more and more customers. So we don't have a specific timeline yet on additional templates, but it is something we'll be continuing to evaluate. We have been talking to different customers and internal teams about how we can also make AMC easier to use through point and click applications as well. We also work with dozens of partners that are making AMC easier to use, either through visualizations or through their own innovative dashboard. So I think through the combination of either homegrown or partner built capabilities, we'll be able to continue to bring AMC insights to more and more customers. Anne: Yeah, pacview is one of those partners. We do have an AMC dashboard Great, I think. Another question that's kind of just in general about AMC do you think there are any verticals or categories that benefit the most from this data, or that you've seen a lot of growth and success with using AMC? Miranda: Yeah, we think of AMC as equal opportunities. So we look at the data a lot. We're very, very data driven surprise, surprise at Amazon and what we've seen is that there's penetration for AMC across brands and partners and agencies as well as across all verticals. So we've seen, certainly, strength from brands that sell on the Amazon store, but also pretty strong results with entertainment, with automotive, financial services. So you can think of someone who's like automotive who might have a bunch of local dealerships. They want to be able to do more fine event grained analyses based on specific geos, and so something like AMC is perfect for that be able to do more precise measurements. So, yeah, certainly we think it's a great product for all, but it really depends on that particular advertiser's objective and then what are the types of signals that they want to bring in and what kind of insights they can generate. Anne: Definitely, it is flexible. Miranda: Exactly Infinite and flexible. Yes, Great. Anne: My last question is just a kind of a fun one. Do you have any specific query or an example of a query that you think was really innovative that's been pulled through AMC that you can recall? Miranda: I think it's probably a generic answer, but I think the Path to Conversion one is probably one of my favorites, just because it's the simplest. I think AMC was actually the first place where an advertiser could see all of their signals across all of the Amazon ad products, and so someone who was buying sponsored products and DSP might not have realized before that they actually were driving better results together, and so Path to Conversion, and actually be able to understand how those two products were interacting, for example, really brought a lot more power and insight, I think, to advertisers. Anne: So I don't think that's generic at all. I love that one too. Miranda: There's a reason. That's core kind of at the top of the instructional query library. Anne: Right. Miranda: Agreed, all right. Bradley Sutton: I have another question for you. I like asking stuff that maybe nobody else is going to ask. When you want to take off your Amazon hat and kick back with a hobby to kind of like balance work life, what's your go-to hobby? Miranda: Well, I have an almost four-year-old so she is probably my hobby in most of the time. I'm going to try and go do fun things on the weekend, whether it's exploring new coffee shops or going to find music. Bradley Sutton: The four-year-old is a coffee drinker, is she? Miranda: No, she's not, but she's an avid consumer of chocolate croissants, and so we sample baked goods in lots of different places. Then mom gets her coffee. I think that's probably it, but in my prior pre-kid years I did a lot more yoga and hiking and things like that. Bradley Sutton: So enjoy those years. You know, my kids are over 20 already, so I wish I had a four-year-old. I remember those days All right. Thank you so much for joining us and you educated me a lot. It sounds like Ann knows all about what you're talking about. It was like a different language to me, so I appreciate you educating us on IMC. Yes, absolutely. Thank you so much. Miranda: Thank you so much. Bradley Sutton: Alright, we've got Teresa here. Teresa, could you go ahead and introduce yourself? Teresa: Sure, I'm Teresa Uthralton. I'm the Director of Partner Development here at Amazon Ads. Bradley Sutton: Awesome, awesome. How long have you been here at Amazon? Teresa: I've been at Amazon for almost 10 years, so I'm approaching that red badge. For those of you that know our badging conventions, Nice, nice. Bradley Sutton: Now you're from here in New York. I've always been in New York, yep. So I'm going to start off with maybe the most important question of the day Julianne's Pizza in Brooklyn. Is that the best representation of New York pizza, or not? Teresa: Oh, that's tough. There's so many really good pizza places now I can't even keep up with them. There's so many. Bradley Sutton: Alright. Well, we're going to have to connect right after this, because I have two days left and I need to maximize my time here. Teresa: Yes, Alright now. Bradley Sutton: We're not here to talk about food here. Teresa: I recommend checking out Roberta's in Bushwick though. Bradley Sutton: Roberta's in Bushwick. I have not been there. Anne: Yes, I think you'll really enjoy that. Bradley Sutton: We're going to that one. Anne: Right now. Yeah, actually, cancel the interview. Let's go there, we go. Yes, of course. Bradley Sutton: Now Anne here is going to ask a lot of the more technical questions, especially those that have to do with enterprise. Now I'm here to represent, kind of like, the voice of the average Amazon seller, and you know, there's some people out there who might not fully know what Amazon marketing stream is first of all. So could you just go ahead and just kind of give a quick elevator pitch for what that is? Teresa: Sure. So Amazon marketing stream is a partner-facing product, and what it does is it provides really granular hourly signals on all our advertising metrics through the Amazon API, and what that means to a seller is that they will be able to get all sorts of insights about their business that normally they would not have known. Bradley Sutton: Okay, all right, I love that. Did you practice this? I didn't even tell you I was going to ask that. All right, cool, cool. How about rapid retail analytics, your other specialty? Teresa: I know I love rapid retail analytics, so Amazon marketing stream obviously totally focused on advertising signals. As we know, so much of what's exciting about Amazon ads is that you got online retail and digital advertising Right, and so rapid retail analytics provides that level of granularity on retail signals, and one of the reasons that's so exciting is that that data used to be available at a daily cadence with a 72-hour lag, so we literally it's almost near real time now, which is a really, really exciting development. Bradley Sutton: Okay, all right. Well, now that I got that out of the way, let me turn it over to the smart one of us too, and for some follow up questions. Anne: Yeah, so I kind of want to double click into Amazon marketing stream, specifically the fact that it was recently released for DSP or it's being extended to DSP. How do you think this will change the way advertisers manage their DSP campaigns now that they have that real time data that we were talking about? Teresa: Well, it's interesting. I think one of the things that I've learned is I've been humbled by our partner's creativity. Right, you know, I was just. I was just telling someone. I joined this team three weeks before Can last year and so I showed up at Can meeting all my partners for the first time, and we had just launched the first version of Amazon marketing stream and I was like this is the coolest product. But what really got me excited was it's a product that we developed based on the feedback we got from partners Like they, they have a seat at the table, they participate in all our betas and our product teams love them, right, because they get like this incredible, you know, they get their hands dirty and they come back and they're like these are the 27 things that are wrong and you need to fix right, which is if you're a product team, that's actually like really helpful, right, so, and what? The thing that's so interesting is like it launched and everyone loved it, but then people are like well, but it only has sponsored products. Right, like, I want more, I want more, I might want more. So I think what's exciting about having ADSP signals in there is that's going to unlock a whole bunch of opportunity around partners that are deep on ADSP Right. Definitely and I think you know, probably a few months from now, we'll have some really interesting case studies, success stories. There's really like almost no end to the creativity of our partners, which is really great because they're such awesome builders. Anne: I agree. I'm curious AMC they not AMS? AMC? I know they get our accurate, our Amazon accurate. I know, there's so many of them Also provides hour by hour data for both DSP and for sponsored ads. Prior to this, especially prior to AMC, but also prior to AMS, this wasn't available for advertisers, so you kind of had to guess when you were running, like day parting or anything along those lines. Do you think the release of the stream data for DSP will eliminate the need for the AMC hourly data? Teresa: Well, I think you got to go back to like what are the use cases that people use other product, right? I think, like what is great about Amazon marketing stream? Right, it's an aggregate, aggregate data pipe, if you think about it, right, and so ultimately that's going to help people build solutions that are evergreen. It's going to help people train AI models right, because how do you train AI models? You need, like, lots of granular signals, right? And whereas the Amazon marketing stream is really about very specific use cases around, like understanding the customer purchase path, understanding incrementality, understanding attribution, so I don't think it's like one or the other, I think it's very like use case specific. Anne: Right. That actually leads perfectly into my next question, which is how you see these two datasets working together with advertisers currently, or how you see in the future that they can work together. Teresa: Yeah. So I think, like what I think is really exciting about partner innovation is, ultimately, I don't think there's ever been a better time to be a marketer, right, like there's that whole age old question about, like I know half my advertising is working, but I don't know which half, and I think we're getting about as close as we're going to get probably in our lifetime, but we're on the cusp of that with a lot of these tools, and so I think the the part about Amazon marketing stream that I think is so exciting is that it will allow the kind of automation that makes brands so much smarter and helps them do more with less. Right, and we're seeing like especially like this year has been an uncertain economic climate for a lot of folks, right, and a lot of a lot of folks are trying to figure out like my budget has been cut or my budget is capped, but I'm being asked to drive more growth Right, and I think, like partners have been able to deliver solutions based on Amazon marketing stream and rapid retail analytics that have really enabled that Awesome. Bradley Sutton: And you had a last question. Anne: I did. It's a fun one. What's your favorite thing about being at conferences like unboxed? Teresa: Oh, it's meeting my partners. You know, I learn so much from from meeting with partners, right, like I said, it's very humbling. The innovation, the creativity, what they teach us about our customers, what they teach us about our products and it's such an incredible learning experience is so energizing. Were you at our our cocktail party last night? Anne: No. Bradley Sutton: I was not. Anne: We had a lot of cocktail parties. I'm sure it was very. Teresa: That was like such a fun buzzing party and I got to meet partners from all over the world. At our award ceremony on Monday we met partners that came from Delhi and it was just really, really exciting. Bradley Sutton: Awesome, all right, well, thank you so much for coming on the show and we appreciate all that you do at Amazon. Teresa: Thank you, thanks guys. Bradley Sutton: All right, we've got Ruslana here. Ruslana, welcome to the show. Ruslana: Thank you, Bradley and Anne, for having me. Bradley Sutton: Are you based here in? Ruslana: New York no, I'm based in Seattle. Bradley Sutton: Seattle. Okay, Seattle was just there for accelerate, lots of rain, but I like. I like Seattle weather a lot. Quick question for you, first of all just how long have you been at Amazon and what is your title there? Ruslana: I'm a vice president of sponsored brands display in TV advertising and I just celebrated my 10 year anniversary Last week awesome, congrats, congrats. Bradley Sutton: now we're gonna go into like what you announced today, but you know something while you were on stage, you also referred to something that was, you know, launched a little bit ago. We're how, now you know, sponsored products can show up on websites like Pinterest and things like that, and one thing that was I have a bad memory, but it was new to me, maybe I knew about it, I guess, didn't know was like it's not just a product that's gonna display, but it'll also show, I believe, like the reviews count and even the shipping time did I, did I hear that right. Ruslana: Well, with sponsor products, our goal is to deliver the same value that Advertisers are getting today by having sponsored products was an Amazon store and some of the critical sort of trusted Amazon attributes, such as reviews, pricing information, as well as Prime delivery promise, are essential elements To helping customers make decisions and actually purchase. So yes you are, you got it right at that. Sponsor products will be containing Kind of product level or Amazon key, amazon trusted information Within these new and exclusive placements across some of these sides to help our advertisers to really go quickly and with ease from discovering something or exploring something to actually purchasing awesome, awesome. Bradley Sutton: That's been. That's been out for a while, but today, when you're on stage, you announce something brand new, and that was sponsored TV. So just give us maybe a quick 30 second, one minute overview of what that is, and Anne has some follow-up questions on that. Ruslana: Well, we see a sponsored TV, tv advertising as a whole, as a critical element of brand-building strategy. That should not be something that Brand cannot do. Any brand of any science should be able to tap into this opportunity and reach these engaged audiences on a big screen In the living room, and so sponsored TV is aiming to accomplish just that. We have worked very closely with our brands and our customers and Backwards from them, to understand what their key pain points have been and why they have not potentially used TV more actively Was in their overall brand-building strategy and, as a result, launch sponsored TV. I'm trying to eliminate three main pain points no guarantee commitments, no spend, minimum creative support and, lastly, access to first-party Amazon, first-party signals. Even when you advertise in TV, powered my machine learning and Right measurement so that advertise and send value, because what we've learned is spend is intimidating, a Lack of the right creative or ability to create the right credit. Just knowing what resonates on such a screen is Hard and intimidating and, lastly, just understanding the value that TV delivers for these brands was difficult. And so, given those three main pain points, that's there. That's why we're sponsored TV. I think to wrap like there is another element right. We at Amazon, we very custom obsessed and in this instance, we have two customers right. We have brands, and we just talked about the value we deliver for the brands, but there's also another key customer, which is the viewers, and for viewers, this is an opportunity to discover diverse collection of brands and products in places where they choose to spend their time. Bradley Sutton: Okay, now I'm just wondering where, like? What kind of placements are these? Are these like, like, like trailers that come up, or are there just actual, you know, banner ads that might pop up while you're watching a TV show? Ruslana: Oh, this is a TV advertising we're talking about, so they are video, so this is not this not sponsored display. Jeff: Yeah. Ruslana: This is video ads and they sponsor TV. Today service was in freebie content. Like I don't know if any of you watch freebie, I do. I love certain shows there, so big fan. So there is freebie content. There is streaming. Do you stream? Do you twitch? Bradley Sutton: Yes. Ruslana: Okay. Well, when you twitch during live streams, that could be. Another opportunity was in. Bradley Sutton: There might be people watch watching this right now on our rebroadcasts of this. Ruslana: People that twitch. This is where the ads would show. And then, lastly, was in a fire TV apps. Bradley Sutton: Okay, excellent yeah. Anne: So it was mentioned that the goal of this campaign, or at least one of the goals, is to make it more accessible to Advertisers who have lower budgets, don't necessarily want to deal with spend minimums etc. Do you feel like there's a lower level of budget sufficiency for running these campaigns, or can it be tested with a small amount of money? Ruslana: Well, we, as I said earlier, right customer obsessed, working back, working backwards from our brands and working backwards for them. I'm really observed that they do want to be able to engage with this audience. Why wouldn't you like if you launched a product that is net new, delightful, on the market? Why wouldn't you want to tell? Like you know, I talked on my keynote about hex glad. I don't know if you don't know, if you have it in your kitchen, but if you don't, I highly recommend. I discovered through our sponsor TV offering the brand and I love the non-stick and also non scratch. Bradley Sutton: Oh no, you had me out when you showed part of the video where it flipped over and nothing Was coming on. Anne: I like that. Ruslana: Very impressive and so at the end of the day, like that is the brand that I'm delighted to cook with every day, and I like my eggs for breakfast. Doesn't matter if it's Monday or Tuesday, Wednesday or Sunday, so in at the end of the day, I think these are the type of brands. They want to engage with the right audience at the right time, and I think this is the right time. Anne: Great. Can you walk us through some of the targeting that will be available with this type of advertising? Most of sponsored ads is keyword basis. That going to be the truth for Sponsored TV, or is it going to be more signal-based behavioral audiences? Ruslana: Well, we always try to help our brands reach the right audiences. So let me Maybe adjust one statement here Most of sponsor brands is not keyword based sponsored products. Keyword based sponsored Products is keywords based. Sponsor brands has keywords Elements in their way and how you express intent. Sponsored display doesn't have that way to express intent. But our aim is to always work with our brands and help them, give them the right tools to express the intent in the best possible way so we can deliver their message and their story in the right place at the right time. So in the case of sponsored TV, the advertisers could use both sort of category based interests and as well as Genre based interest. Bradley Sutton: I've got a spooky brand on Amazon, so like come Halloween season gonna be Maybe throwing some ads on some spooky Halloween shows or horror show. Anne: Perfect, I think we have time for one more question. So I'm curious how do you recommend brands measure success with these campaigns? Do you have specific KPIs that you think you know appropriately measure the success for sponsored TV or anything along those lines? Ruslana: So they reach. Traditional metrics are available similarly how they would be available for any other TV offerings, but in addition, we are sharing branded searches as well as detail page and store page Traffic, and so that is a starting point for the offering. We will continue evolving our metrics and help brands understand the value they're getting out of their sponsored TV offering Wonderful. Bradley Sutton: Thank you so much for joining us today. Ruslana: Thank you for having me and in Bradley.

Recently, a clip from Oxide and Friends was played by another podcast as something of a punching bag. Adam was called "uneducated" and Bryan, it was observed accurately, "hadn't used C++ since the '90s". Well, Conor Hoekstra from the ADSP pod joined us to settle the beef.In addition to Bryan Cantrill and Adam Leventhal, we were joined by special guest Conor Hoekstra and Oxide colleague Cliff Biffle.

Excuse our audio issues this week with the limited technology we had while Drew was traveling for work. We talk the disappointments from week 3 and preview a week 4 that's important for all of the main teams of ADSP. --- Support this podcast: https://podcasters.spotify.com/pod/show/andrew-torres9/support

With Gianluca Delfino, Vladimír Arnošt, Andrew Fodiman, Dmitry Kuzminov, Mikhail Zborovski, Sergey Ishin et al.Notes: https://cppclub.uk/meetings/2023/164/Video: https://youtu.be/mpoqVodkNB0

Heute geht es um das Transportrecht im Landverkehr. In der Episode ist Jette Gustafsson zu Gast, eine Anwältin, die sehr viel im Transportrecht unterwegs ist. Natürlich ist unser Podcast keine juristische Empfehlung, aber wie man sich gut vorbereiten kann auf ein Geschäft und was man keinesfalls auslassen soll - das verrät Jette sehr wohl. Eine sehr spannende Folge, die das Fachgebiet der Juristerei locker angeht und vor allem versucht mit praktischen Beispielen für Verständnis zu sorgen. Jette wirkt übrigens auch bei der Logistik&Recht mit - eine Publikation, zu der wir schon einige Episoden gemacht haben. Insofern freuen wir uns sehr neben der Expertise im Bereich des Transportrechts auch noch jemanden kennen gelernt zu haben, der bei der LogR mitwirkt. Viel Spaß beim Reinhören!

Tristan Brindle joins Timur and Phil. Tristan talks to us about a safer alternative to iterators and his library, Flux, that implements it. Show Notes News 60 terrible tips for a C++ developer Big, combined, committee trip report from Varna CLion 2023.2 EAP4: AI Assistant "Making C++ Memory-Safe Without Borrow Checking, Reference Counting, or Tracing Garbage Collection" Links Episode 78 of CppCast, mentioning Cling Episode of ADSP recorded at C++ on Sea Episode 152 of CppCast, with Tristan and the C++ London Uni team Flux on GitHub

This week, we speak to: - Lauren Sanchez Gilbert, the CEO of BellXcel - BellXcel is the engine for youth programming. Youth program providers can access time saving digital tools so they can spend less time dealing with program logistics and paperwork, and more time focused on what truly matters most – elevating the potential of youth. - David Foster from ADSP.AI about his work integrating AI into management information systems (MIS). - Craig Kemp about Chat GPT. --- Send in a voice message: https://podcasters.spotify.com/pod/show/edinnovators/message

Array Cast - March 17, 2023 Show NotesThanks to Bob Therriault, Richard Park, Conor Hoekstra and Adám Brudzewsky for gathering these links:[01] 00:01:55 APL problem solving competition https://contest.dyalog.com/ Kattis online competition https://open.kattis.com/ APL Seeds '23 https://www.dyalog.com/apl-seeds-user-meetings/aplseeds23.htm Linux Format Magazine https://linuxformat.com/linux-format-300.html The APL Show - Reaction to "Change the Way You Think" https://apl.show/2023/03/09/Reaction-to-Change-the-way-you-write-Change-the-way-you-think-part-1.html The APL Campfire - Norman Thomson https://www.youtube.com/watch?v=jPujK-GvHGQ&list=PLYKQVqyrAEj91hZHbJiWOENHZP4JT8VFv[02] 00:06:16 Ed Gottsman's Wiki Gui https://www.youtube.com/watch?v=j17E_KUgKxk[03] 00:07:09 Why I Love BQN So Much https://www.youtube.com/watch?v=mRT-yK2RTdg J software https://www.jsoftware.com/#/ Dyalog APL https://www.dyalog.com/[04] 00:08:12 Adám's APL Quest https://www.youtube.com/@abrudz/playlists[05] 00:09:50 q download https://kx.com/kdb-personal-edition-download/[06] 00:13:10 Shakti https://shakti.com/[07] 00:14:10 Emery Berger "Performance Really Matters" https://www.youtube.com/watch?v=7g1Acy5eGbE[08] 00:17:14 Three consecutive odds ADSP 'scanductions' episode https://adspthepodcast.com/2023/03/03/Episode-119.html[09] 00:19:40 Rich Park's "A Programming Language for Thinking About Algorithms" https://www.dyalog.com/uploads/files/presentations/ACCU20210520.pdf[10] 00:21:00 Windows function in BQN https://mlochbaum.github.io/BQN/doc/windows.html[11] 00:27:22 Fold in J https://code.jsoftware.com/wiki/Vocabulary/fcap Scan https://aplwiki.com/wiki/Scan Reduce https://aplwiki.com/wiki/Reduce[12] 00:29:15 Apex Compiler https://gitlab.com/bernecky/apex Co-dfns Compiler https://dl.acm.org/doi/10.1145/2627373.2627384[13] 00:32:50 Arthur Whitney https://en.wikipedia.org/wiki/Arthur_Whitney_(computer_scientist)[14] 00:37:03 Convolutional Neural Networks https://dl.acm.org/doi/pdf/10.1145/3315454.3329960[15] 00:39:05 Tensorflow https://en.wikipedia.org/wiki/Tensorflow PyTorch https://en.wikipedia.org/wiki/Pytorch MLIR https://mlir.llvm.org/[16] 00:44:20 Paul Graham "Beating the Averages" http://www.paulgraham.com/avg.html Bob Bernecky "Good Algorithms Win Over Tin" https://code.jsoftware.com/wiki/Essays/GoodAlgorithmsWinOverTin cudnn: https://developer.nvidia.com/cudnn C++/Python Meme https://www.reddit.com/r/ProgrammerHumor/comments/m3pf9h/there_is_only_one_king/[17] 00:49:00 Futhark Episode of ArrayCast https://www.arraycast.com/episodes/episode37-futhark Single Assignment C https://www.sac-home.org/index Dex https://github.com/google-research/dex-lang#dex-[18] 01:06:40 BQN Compiler https://mlochbaum.github.io/BQN/implementation/bootbench.html[19] 01:13:19 BQN Performance https://mlochbaum.github.io/BQN/implementation/perf.html Bench Array https://mlochbaum.github.io/bencharray/pages/summary.html[20] 01:16:12 Big Endian https://en.wikipedia.org/wiki/Endianness[21] 01:21:45 Performance Timing BQN _timed https://mlochbaum.github.io/BQN/spec/system.html#time J 6!:2 https://code.jsoftware.com/wiki/Vocabulary/Foreigns#m6 APL cmpx http://dfns.dyalog.com/n_cmpx.htm q ts:n https://code.kx.com/q/basics/syscmds/#ts-time-and-space[22] 01:23:15 ngn/k https://codeberg.org/ngn/k[23] 01:23:52 Contact AT ArrayCast DOT Com

On episode 107 of ADSP we review the Super Bowl and give our takes on all the madness both during and after the game. We then dive into a slew of NBA news and give our thoughts on the UFC 284 main event. That wraps up our weekly episodes for the year as we move into our "offseason". We still plan on posting periodic episodes but thank you to all of our listeners and twitch viewers for a fantastic 4th season of Another Damn Sports Podcast! We appreciate all of the love and support from our friends and family more than you could ever know. --- Support this podcast: https://anchor.fm/andrew-torres9/support

Drew, Money Mike, and Steve review the NFL Championship weekend, give out this season's ADSP Awards, and more on episode 105 of Another Damn Sports Podcast. --- Support this podcast: https://anchor.fm/andrew-torres9/support

After a sad divisional round weekend where all three remaining ADSP teams were eliminated from the playoffs, Drew, Steve, and Money Mike meet to reflect on the season that was and how they feel about their teams going forward. They then welcome Nick Padula on the show to talk Bills and preview Championship weekend. --- Support this podcast: https://anchor.fm/andrew-torres9/support

Super Wild Card Weekend was a wild ride as three of the ADSP teams advanced to the divisional round. Drew, Money Mike, and Steve review all of the action including the historic comeback by the Jags, the back-and-forth game between the Giants and Vikings, and the nerve-wracking, surprisingly close game between the Bills and Dolphins. --- Support this podcast: https://anchor.fm/andrew-torres9/support

The ADSP team only talks contenders going forward, as the NFL playoff picture is heating up from week to week and only a few select contenders remain for Wildcard spots. Drew, Money Mike, and Steve cover all of the exciting action from week 13 as well as all the big news stories surrounding the NFL. They then do a quick dive into Aaron Judge news, World Cup, and basketball both at the collegiate and professional levels. --- Support this podcast: https://anchor.fm/andrew-torres9/support

ADSP experiences a switch up in the team for episode 96! With Steve and Mike out enjoying life, Nick Padula steps in as guest host with Drew to talk about the electrifying win for the Jaguars against the Ravens, all of the exciting Thanksgiving action, USA advancing to the Round of 16 of the World Cup, and so much more. --- Support this podcast: https://anchor.fm/andrew-torres9/support

It's the Thanksgiving addition of ADSP where the guys talk about all the big news from Week 11, preview an exciting slate of Thanksgiving games where the show has stakes in all three of the games, recap the World Cup matchup between USA and Wales, and talk about who the current favorites are in both the NFL and NBA. --- Support this podcast: https://anchor.fm/andrew-torres9/support

Steve and Drew talk about their upcoming big trip to Highmark Stadium to watch a potential Case Keenum-led Bills take on the Vikings. The guys also review the World Series and an exciting UFC 281 card headlined by Israel Adesanya vs. Alex Pereira. --- Support this podcast: https://anchor.fm/andrew-torres9/support

Array Cast - October 14, 2022 Show NotesMany thanks to Bob Therriault for gathering these links:[01] 00:02:25 2022 Dyalog User Meeting https://www.dyalog.com/user-meetings/dyalog22.htm[02] 00:03:10 q Vector dojo on problem solving SJT AT 5JT DOTcom[03] 00:04:25 Conor's paradigm conference presentation https://www.youtube.com/watch?v=8oKAHQsh1oM[04] 00:07:37 Everest the Hard Way https://en.wikipedia.org/wiki/1975_British_Mount_Everest_Southwest_Face_expedition Chris Bonington https://en.wikipedia.org/wiki/Chris_Bonington Stephen Taylor's 45th anniversary blog https://github.com/StephenTaylor-Kx/swf75[05] 00:12:50 Dyalog webinars https://dyalog.tv/Webinar/[06] 00:13:30 ArrayCast Resource pages https://www.arraycast.com/resources[07] 00:14:40 2019 Dyalog Young User Panel https://www.youtube.com/watch?v=jHBKxuRLaz4&list=PL5i_Y8skrlUJzbu_hd6I0oZPpbczBd4UV&index=25[08] 00:15:50 RikedyP Youtube channel https://www.youtube.com/channel/UCOx-h5m9MeV14rG4PicRB7g[09] 00:16:13 Innovator's Dilemma https://en.wikipedia.org/wiki/The_Innovator%27s_Dilemma Lib Gibson Episode on ArrayCast https://www.arraycast.com/episodes/episode35-lib-gibson[10] 00:18:20 BQN https://mlochbaum.github.io/BQN/[11] 00:18:58 Gitte Christensen Episode on ArrayCast https://www.arraycast.com/episodes/episode12-gitte-christensen[12] 00:22:50 Troels Henriksen Episode on ArrayCast https://www.arraycast.com/episodes/episode37-futhark Troels' Blog post https://futhark-lang.org/blog/2022-10-03-futhark-on-arraycast.html Futhark https://futhark-lang.org/[13] 00:24:39 ADSP https://adspthepodcast.com/[14] 00:26:00 k programming language https://aplwiki.com/wiki/K q programming language https://code.kx.com/q/[15] 00:28:21 Ken Iverson https://aplwiki.com/wiki/Ken_Iverson J labs https://code.jsoftware.com/wiki/Labs/Index Jupyter notebooks https://jupyter.org/ Wolfram notebooks https://www.wolfram.com/notebooks/[16] 00:31:50 Jeremy Howard Episode on ArrayCast https://www.arraycast.com/episodes/episode31-jeremy-howard Fastai APL course https://forums.fast.ai/t/apl-array-programming/97188[17] 00:35:17 iPad J forum discussions http://jsoftware.com/pipermail/general/2022-October/039434.html http://jsoftware.com/pipermail/general/2022-October/039454.html J901 iOS app https://apps.apple.com/us/app/j901/id1483497239 J701 iOS app https://apps.apple.com/us/app/j701/id1255235993[18] 00:37:06 Arthur Whitney https://aplwiki.com/wiki/Arthur_Whitney Janet Lustgarten https://www.engineering.columbia.edu/board-of-visitors/janet-lustgarten[19] 00:38:40 Stefano Lanzavecchia http://archive.vector.org.uk/art10013850[20] 00:39:48 Paul Mansour https://www.toolofthought.com/[21] 00:41:07 2014 J Software Conference https://code.jsoftware.com/wiki/Community/Conference2014[22] 00:45:05 BQN Documentation https://mlochbaum.github.io/BQN/doc/index.html J wiki https://code.jsoftware.com/wiki/Main_Page Ken Iverson quote http://keiapl.org/rhui/remember.htm#500 Group function in BQN https://mlochbaum.github.io/BQN/doc/group.html[23] 00:47:30 Reverse function in BQN https://mlochbaum.github.io/BQN/doc/reverse.html Scan Diagram for BQN https://mlochbaum.github.io/BQN/doc/scan.html[24] 00:53:12 Help pages https://mlochbaum.github.io/BQN/help/index.html[25] 01:00:00 Python Programming Language https://www.python.org/ Rust Programming Language https://www.rust-lang.org/ Rust up https://opensource.com/article/22/6/rust-toolchain-rustup[26] 01:01:44 StackOverflow https://stackoverflow.com/[27] 01:03:20 APLfarm Discord https://aplwiki.com/wiki/APL_Farm[28] 01:07:24 Aftershock Netflix https://www.netflix.com/ca/title/81397884[29] 01:10:20 J programming language https://www.jsoftware.com/[30] 01:11:40 Jd database https://code.jsoftware.com/wiki/Jd/Index[31] 01:16:18 Racket programming language https://en.wikipedia.org/wiki/Racket_(programming_language)[32] 01:19:25 Joe Armstrong https://en.wikipedia.org/wiki/Joe_Armstrong_(programmer) Erlang https://en.wikipedia.org/wiki/Erlang_(programming_language) First make it work... https://blog.ndpar.com/2010/11/18/joe-armstrong-on-optimization/ Smalltalk programming language[33] 01:21:50 Online REPL's tryAPL https://tryapl.org/ J Playground https://jsoftware.github.io/j-playground/bin/html2/ BQNPAD https://bqnpad.mechanize.systems/ k9 https://kparc.com/k/ Nial https://tio.run/#Nial[34] 01:23:20 APL Orchard https://aplwiki.com/wiki/APL_Orchard APL wiki https://aplwiki.com/wiki/

Array Cast - September 30, 2022 Show NotesMany thanks to Bob Therriault for gathering these links:[01] 00:03:08 ADSP podcast on K https://adspthepodcast.com/2022/09/23/Episode-96.html[02] 00:03:30 Paradigm Conference 2022 https://esolangconf.com/[03] 00:04:25 Troels Henriksen https://sigkill.dk/[04] 00:05:05 Futhark https://futhark-lang.org/[05] 00:06:12 Linux https://www.linux.org/[06] 00:08:00 Textualize https://www.textualize.io/[07] 00:08:27 Standard ML https://en.wikipedia.org/wiki/Standard_ML Common Lisp https://en.wikipedia.org/wiki/Common_Lisp Haskell https://www.haskell.org/[08] 00:09:50 Cosmin Oancea http://hjemmesider.diku.dk/~zgh600/[09] 00:10:53 Ocaml https://ocaml.org/[10] 00:12:20 Numpy https://numpy.org/ PyTorch https://github.com/pytorch/pytorch[11] 00:13:07 Single Assignment C https://www.sac-home.org/index[12] 00:13:20 Codfns https://github.com/Co-dfns/Co-dfns DEX https://github.com/google-research/dex-lang Accelerate for Haskell https://www.acceleratehs.org Copperhead https://github.com/bryancatanzaro/copperhead Tensorflow https://github.com/tensorflow/tensorflow JAX https://github.com/google/jax[13] 00:18:39 Phd Position https://employment.ku.dk/phd/?show=157471[14] 00:20:17 Experiential Learning https://en.wikipedia.org/wiki/Experiential_learning[15] 00:21:21 DIKU https://di.ku.dk/english/ Hiperfit http://hiperfit.dk/ Simcorp https://en.wikipedia.org/wiki/SimCorp Dyalog https://www.dyalog.com/[16] 00:23:00 TAIL http://hiperfit.dk/pdf/array14_final.pdf apltail https://github.com/melsman/apltail Martin Elsman https://elsman.com/[17] 00:29:17 Parametric Polymorphism https://en.wikipedia.org/wiki/Parametric_polymorphism[18] 00:32:06 Jay Foad https://aplwiki.com/wiki/Jay_Foadhttps://docs.dyalog.com/latest/Compiler%20User%20Guide.pdf[19] 00:33:00 Tacit Programming https://aplwiki.com/wiki/Tacit_programming[20] 00:36:30 Mandelbrot set https://en.wikipedia.org/wiki/Mandelbrot_set[21] 00:41:07 Typed Array Languages https://mlochbaum.github.io/BQN/implementation/compile/intro.html#typed-array-languages[22] 00:42:05 Leading Axis Array Theory https://aplwiki.com/wiki/Leading_axis_theory[23] 00:43:56 Ken Iverson https://en.wikipedia.org/wiki/Kenneth_E._Iverson[24] 00:49:25 Conor's Array Comparison https://github.com/codereport/array-language-comparisons[25] 00:49:50 APEX https://gitlab.com/bernecky/apex Bob Bernecky https://www.snakeisland.com/[26] 00:51:05 Second Order Array Combinators https://futhark-book.readthedocs.io/en/latest/language.html[27] 00:52:30 Associativity https://en.wikipedia.org/wiki/Associative_property Commutativity https://en.wikipedia.org/wiki/Commutativity[28] 00:56:12 Toxoplasma Gondii https://en.wikipedia.org/wiki/Toxoplasma_gondii[29] 00:59:20 Guy Blelloch https://en.wikipedia.org/wiki/Guy_Blelloch Nesl http://www.cs.cmu.edu/~scandal/nesl.html[30] 01:00:38 Remora https://www.ccs.neu.edu/home/jrslepak/typed-j.pdf Justin Slepak https://jrslepak.github.io/[31] 01:01:12 Conor's Venn diagram https://github.com/codereport/array-language-comparisons[32] 01:02:40 K https://aplwiki.com/wiki/K Kona https://aplwiki.com/wiki/Kona[33] 01:03:20 April https://aplwiki.com/wiki/April Andrew Sengul Episode on Array Cast https://www.arraycast.com/episodes/episode23-andrew-sengul[34] 01:04:40 Py'n'APL https://github.com/Dyalog/pynapl APL.jl https://aplwiki.com/wiki/APL.jl May https://github.com/justin2004/may Julia https://julialang.org/[35] 01:08:05 Bjarne Stroustrup C++ https://www.stroustrup.com/[36] 01:09:16 Artem Shinkarov https://ashinkarov.github.io/ Sven-Bodo Scholz https://www.macs.hw.ac.uk/~sbs/homepage/main/Welcome.html https://www.microsoft.com/en-us/research/video/sac-off-the-shelf-support-for-data-parallelism-on-multicores/[37] 01:10:19 Contact AT ArrayCast DOT com

Steve "The Oracle" DenBleyker has returned to ADSP to join Drew and Money Mike in reviewing the comeback-filled week 2, as well as preview a week 3 that will certainly tell us a ton about who's for real and who's in trouble for the remainder of the season. The pod also welcomes Nick Padula back on the show to talk about the incredible start of the Buffalo Bills, and the guys look over their first submitted resume for Steve's intern position. --- Support this podcast: https://anchor.fm/andrew-torres9/support

On this episode, Yvette interviews architects Siboney Díaz Sánchez of Design as Protest and Raphael Sperry of Architects/Designers/Planners for Social Responsibility about the role that designers can play in de-carceration work.  They discuss what being an anti-racist designer looks like, how designers can play a role in ensuring that building affordable housing redistributes wealth within communities, and why ADSP and DAP have pledged to not participate in the building of execution chambers or solitary confinement cells.

Array Cast - June 10, 2022 Show Notes[01] 00:01:22 awesome-q.org https://github.com/StephenTaylor-Kx/awesome-q[02] 00:01:35 reddit/apljk https://www.reddit.com/r/apljk/comments/v5cr09/blog_post_square_joy_preorder/[03] 00:02:04 BQN keyboard https://gitlab.freedesktop.org/xkeyboard-config/xkeyboard-config/-/blob/master/symbols/bqn[04] 00:03:30 kx download https://kx.com/developers/download-licenses/[05] 00:04:46 aplfarm https://aplwiki.com/wiki/APL_Farm[06] 00:05:03 J Playground https://jsoftware.github.io/j-playground/bin/html2/[07] 00:05:30 Interpreters for Array languages" https://aplwiki.com/wiki/Running_APL[08] 00:06:06 List of array languages https://aplwiki.com/wiki/List_of_open-source_array_languages[09] 00:08:39 BQN https://mlochbaum.github.io/BQN/running.html[10] 00:09:32 Wiki Content https://aplwiki.com/wiki/APL_Wiki:Content_guidelines[11] 00:11:20 Ivy https://aplwiki.com/wiki/Ivy[12] 00:13:44 Episode 28 Rank and Leading Axis Theory https://www.arraycast.com/episodes/episode28-rank-and-leading-axis[13] 00:15:20 ⌿ Reduce First APL https://aplwiki.com/wiki/Reduce[14] 00:17:10 Scalar multiplication https://aplwiki.com/wiki/Times[15] 00:18:01 matrix multiplication https://en.wikipedia.org/wiki/Matrix_multiplication[16] 00:19:02 Rank https://aplwiki.com/wiki/Rank[17] 00:19:12 Axis operator https://apl.wiki/Iverson_notation[18] 00:21:42 Reduce https://aplwiki.com/wiki/Reduce[19] 00:23:30 Bracket axis https://aplwiki.com/wiki/Function_axis[20] 00:24:50 GnuAPL https://aplwiki.com/wiki/GNU_APL[21] 00:25:33 k-cells of array https://aplwiki.com/wiki/Frame[22] 00:26:20 each function https://aplwiki.com/wiki/Each[23] 00:26:35 Negative rank https://code.jsoftware.com/wiki/Essays/Negative_Rank[24] 00:29:11 ADSP podcast June 3 https://adspthepodcast.com/2022/06/03/Episode-80.html[25] 00:32:27 stride https://en.wikipedia.org/wiki/Stride_of_an_array[26] 00:34:17 transpose https://aplwiki.com/wiki/Transpose[27] 00:36:11 Monadic Transpose Bqn https://mlochbaum.github.io/BQN/doc/transpose.html APL https://aplwiki.com/wiki/Transpose J https://code.jsoftware.com/wiki/Vocabulary/barco[28] 00:37:28 APL ravel https://aplwiki.com/wiki/Ravel[29] 00:38:03 2 X 3 X 4 ravel to 6 X 4 Example BQN https://mlochbaum.github.io/BQN/try.html#code=dOKGkDLigL8z4oC/NOKliuKGlTI0IOKLhCDijYnipYrijokyIDHigL8y4oC/MOKNiXQ= APL https://tryapl.org/?clear&q=t%E2%86%902%203%204%E2%8D%B4%E2%8D%B324%20%E2%8B%84%20%E2%8D%89%2C%E2%8D%A42%E2%8A%A22%203%201%E2%8D%89t&run J https://jsoftware.github.io/j-playground/bin/html2/#code=t%3D.%20i.%202%203%204%0A%7C%3A%20%2C%222%20%5B%202%200%201%7C%3A%20t%0A%0A%0A[30] 00:41:19 Under https://code.jsoftware.com/wiki/Vocabulary/ampdot[31] 00:42:26 ,/ https://www.jsoftware.com/help/jforc/loopless_code_ii_adverbs__an.htm#_Toc191734361[32] 00:43:39 dyadic transpose BQN https://mlochbaum.github.io/BQN/doc/transpose.html Dyalog APL https://help.dyalog.com/latest/#Language/Primitive%20Functions/Transpose%20Dyadic.htm J https://code.jsoftware.com/wiki/Vocabulary/barco#dyadic[33] 00:47:00 Diagonal of matrix https://code.jsoftware.com/wiki/Vocabulary/Idioms#Extract_The_Diagonal_Of_A_Table[34] 00:47:52 50 shades of J https://code.jsoftware.com/wiki/Fifty_Shades_of_J/Chapter_8[35] 00:48:34 key adverb https://code.jsoftware.com/wiki/Vocabulary/slashdot#dyadic[36] 00:49:11 cells https://mlochbaum.github.io/BQN/doc/rank.html[37] 00:49:12 inverse https://mlochbaum.github.io/BQN/doc/undo.html[38] 00:49:30 each https://mlochbaum.github.io/BQN/doc/map.html[39] 00:49:48 each in J https://code.jsoftware.com/wiki/Essays/Under[40] 00:51:50 ,/ example BQN https://mlochbaum.github.io/BQN/try.html#code=dOKGkDLigL8z4oC/NOKliuKGlTI0IOKLhCDiiL7LnXQ= J https://jsoftware.github.io/j-playground/bin/html2/#code=t%3D.%20i.%202%203%204%0A%2C%2Ft%0A%24%20%2C%2Ft%0A%0A[41] 00:52:27 ,[⍳ 2] example https://tryapl.org/?clear&q=t%E2%86%902%203%204%E2%8D%B4%E2%8D%B324%20%E2%8B%84%20%2C%5B%E2%8D%B32%5Dt&run[42] 00:54:21 Interfaces APL https://tryapl.org/ BQN https://bqnpad.mechanize.systems J https://jsoftware.github.io/j-playground/bin/html2/[43] 00:55:02 i. 2 3 4 example[44] 00:56:12 Sharp APL https://aplwiki.com/wiki/SHARP_APL[45] 00:58:34 nested array model https://aplwiki.com/wiki/Nested_array flat array theory https://aplwiki.com/wiki/Array_model#Flat_array_theory[46] 00:59:44 numpy https://numpy.org/[47] 01:01:32 Fourier transform https://aplwiki.com/wiki/Fast_Fourier_transform[48] 01:03:20 Roger Hui transpose essay https://code.jsoftware.com/mediawiki/index.php/Essays/Transpose[49] 01:11:35 search for dyadic transpose https://cs.github.com/?scopeName=All+repos&scope=&q=language%3Aapl+%2F%5Cd+%5Cd+%5Cd%E2%8D%89%2F[50] 01:13:47 Stephen's paper on dyadic transpose rank 8 http://archive.vector.org.uk/art10500720

Array Cast - March 19, 2022 Show NotesMany thanks to Adám Brudzewsky and Andrew Sengul for collecting these links.[1] 1:42 J Playground https://jsoftware.github.io/j-playground/bin/html/emj.html[2] 2:18 Bob's Pi video https://www.youtube.com/watch?v=vyILnD0e2IE[3] 2:50 ADSP the podcast https://adspthepodcast.com/[4] 3:50 LispNYC April presentation https://youtube.com/watch?v=AUEIgfj9koc[5] 5:00 April repo https://github.com/phantomics/april[6] 6:40 ELS paper - page 1, getting lexer output - page 2, adding a function to an April workspace - page 2, getting April's compiled output - page 3, adding a new lexical function to April - page 5, PNG palette extractor https://zenodo.org/record/6381963[7] 7:30 Lisp Creator John McCarthy http://jmc.stanford.edu/[8] 7:50 Steve Russel https://en.wikipedia.org/wiki/Steve_Russell_(computer_scientist)[9] 8:27 McCarthy's M-Expressions https://en.wikipedia.org/wiki/M-expression[10] 9:30 Common Lisp https://en.wikipedia.org/wiki/Common_Lisp[11] 10:20 Lisp Machine https://en.wikipedia.org/wiki/Lisp_machine[12] 13:43 Scenario Engine https://devpost.com/software/scenario-engine[13] 14:10 YAML https://yaml.org/[14] 18:15 LispNYC Seed presentation https://vimeo.com/269495385[15] 18:38 K and Kdb https://aplwiki.com/wiki/K[16] 23:50 Bloxl - Bloxl.co https://bloxl.co[17] 31:30 April's core specification - spec.lisp https://github.com/phantomics/april/blob/master/spec.lisp[18] 33:50 April's Vex framework - vex.lisp https://github.com/phantomics/april/blob/master/vex/vex.lisp[19] 40:43 CEPL GLSL compiler https://github.com/cbaggers/cepl YouTube Playlist https://www.youtube.com/playlist?list=PL2VAYZE_4wRKKr5pJzfYD1w4tKCXARs5y[20] 41:40 Racket - the most popular Scheme https://racket-lang.org/[21] 42:10 Scheme - https://en.wikipedia.org/wiki/Scheme_(programming_language)[22] 49:00 arctanh in Lisp and APL https://groups.google.com/g/comp.lang.apl/c/vRjMvZZUIiw/m/CxGL-FR-AAAJ[23] 49:42 Paul Penfield https://news.mit.edu/2021/professor-emeritus-paul-penfield-dies-0903[24] 53:10 kparc https://kparc.com/lisp.txt[25] 01:11:30 April's special code framework - patterns.lisp https://github.com/phantomics/april/blob/master/patterns.lisp[26] 01:18:30 APL Seeds https://www.dyalog.com/apl-seeds-user-meetings/aplseeds22.htm

Array Cast - March 5, 2022 Show NotesMany thanks to Adám Brudzewsky for collecting these links.[1] 00:01:23 APL Seeds '22 conference: https://www.dyalog.com/apl-seeds-user-meetings/aplseeds22.htm [2] 00:02:00 APL Quest chat event: https://apl.wiki/APL_Quest [3] 00:02:05 APL Orchard: https://apl.wiki/APL_Orchard [4] 00:02:55 APL Seeds '21 https://www.dyalog.com/apl-seeds-user-meetings/aplseeds21.htm [5] 00:03:38 APL Seeds '22 registration https://us02web.zoom.us/webinar/register/WN_yZb-ha8sRLCJ1DbjAq8nzA [6] 00:04:15 APL Farm: https://apl.wiki/APL_Farm [7] 00:04:20 BQNPad https://bqnpad.mechanize.systems/ [8] 00:06:02 Carlisle Group: https://www.carlislegroup.com/ [9] 00:07:55 APL '99: https://aplwiki.com/wiki/APL_conference#1999[10] 00:10:54 Josh wins second prize: https://www.dyalog.com/news/102/420/2015-APL-Programming-Contest-Winners.htm[11] 00:10:57 And grand prize: https://www.dyalog.com/news/112/420/2016-APL-Programming-Contest-Winners.htm[12] 00:11:04 Winner's presentation: https://dyalog.tv/Dyalog16/?v=afB2IXCBJJ8[13] 00:13:18 Dado Wiki coding practices: https://github.com/the-carlisle-group/Dado/wiki/How-Not-To-Code-In-Dyalog-APL[14] 00:17:23 Paul Mansour's blog: https://www.toolofthought.com[15] 00:18:00 Practical Introduction to APL https://github.com/the-carlisle-group/PracticalAPL[16] 00:18:32 Cas https://github.com/the-carlisle-group/cas-samples[17] 00:18:55 FlipDB https://github.com/the-carlisle-group/FlipDBDoc[18] 00:20:12 Carlisle Group on GitHub: https://github.com/the-carlisle-group[19] 00:23:34 Advent of Code in APL: https://apl.wiki/Advent_of_Code[20] 00:26:25 Outer Product: https://apl.wiki/Outer_Product[21] 00:27:01 ADSP #1 https://adspthepodcast.com/2020/11/20/Episode-0.html[22] 00:29:01 Marshall Lochbaum's intro do APL based on the Outer Product: https://www.youtube.com/watch?v=WlUHw4hC4OY[23] 00:29:23 Inner Product: https://apl.wiki/Inner_Product[24] 00:29:50 Iverson's generalisation of Outer Product: https://www.jsoftware.com/papers/APLDictionary1.htm#dot[25] 00:34:23 Summary of Paul Mansour "Why my mother-in-law has special serving dishes for corn on the cob and I don't" talk: https://www.dyalog.com/user-meetings/dyalog09.htm#24[26] 00:36:03 The Abacus project: https://github.com/the-carlisle-group/Abacus/[27] 00:38:37 Roger's "50" paper: https://www.jsoftware.com/papers/50/[28] 00:39:15 Parenthesis nesting: https://www.jsoftware.com/papers/50/50_05.htm[29] 00:41:25 Finnish book of APL idioms https://www.aplwiki.com/wiki/FinnAPL_idiom_library[30] 00:42:10 APL Quest on "Keeping Things In Balance": https://chat.stackexchange.com/transcript/52405?m=60517971#60517971[31] 00:42:58 Adám's Companion video: https://www.youtube.com/watch?v=El0_RB4TTPA&list=PLYKQVqyrAEj9wDIUyLDGtDAFTKY38BUMN&index=4[32] 00:43:10 Operators Ken Iverson paper https://dl.acm.org/doi/pdf/10.1145/357073.357074[33] 00:45:42 Aaron Hsu's talk "Does APL Need a Type System?": https://www.youtube.com/watch?v=z8MVKianh54[34] 00:48:47 Is-Prefix-Of ⊃⍷ : https://tryapl.org/?clear&q=IsPrefixOf%E2%86%90%E2%8A%83%E2%8D%B7%20%E2%8B%84%20%27ABC%27%20IsPrefixOf%20%27ABCDEF%27%20%E2%8B%84%20%27XYZ%27%20IsPrefixOf%20%27ABCD%27%20%E2%8B%84%20%27ABCD%27%20IsPrefixOf%20%27ABC%27&run[35] 00:49:40 "Default value": https://aplwiki.com/wiki/Fill_element[36] 00:51:02 Average +⌿÷≢ : https://tryapl.org/?clear&q=Average%E2%86%90%2B%E2%8C%BF%C3%B7%E2%89%A2%20%E2%8B%84%20Average%203%201%204%201%205&run[37] 00:51:15 Split ≠⊆⊢ : https://tryapl.org/?clear&q=Split%E2%86%90%E2%89%A0%E2%8A%86%E2%8A%A2%20%E2%8B%84%20%27%2F%27Split%27now%2Fis%2Fthe%2Ftime%27&run[38] 00:51:30 tacit: https://apl.wiki/Tacit_programming[39] 00:52:03 APLcart: https://apl.wiki/APLcart[40] 00:53:30 Dfn: https://apl.wiki/Dfn[41] 00:54:00 Traditional "procedural" functions: https://apl.wiki/Defined_function_(traditional)[42] 00:55:56 Power operator: https://help.dyalog.com/latest/#Language/Primitive%20Operators/Power%20Operator.htm[43] 01:01:30 Big O notation https://en.wikipedia.org/wiki/Big_O_notation[44] 01:02:20 Josh's email: josh {at} dyalog.com[45] 01:02:52 Namespaces: https://apl.wiki/Namespace[46] 01:09:21 Jobs: https://apl.wiki/Jobs[47] 01:10:52 contact at arraycast dot com

Array Cast - January 22, 2022 Show NotesMany thanks to Adám Brudzewsky and Bob Therriault for collecting these links.0:01:35 APL logo Voting https://aplwiki.com/wiki/APL_logo 0:02:20 Conor's Voting Video https://www.youtube.com/watch?v=Jxu4nWh1214 0:02:47 Vector Dojo https://community.kx.com/t5/KX-Technology/User-Feedback-Request-The-Vector-Dojo/td-p/116450:07:09 Q Basic https://en.wikipedia.org/wiki/QBasic 0:10:47 Scheme Manual https://www.gnu.org/software/mit-scheme/documentation/stable/mit-scheme-user.pdf Chez Scheme https://www.scheme.com/ 0:14:27 Indiana University C.S. Department https://cs.indiana.edu/ 0:15:00 Kent Dybvig Dissertation http://www.cs.unc.edu/xcms/wpfiles/dissertations/dybvig.pdf 0:15:26 Schneider, Fred B. On concurrent programming. 1997. Springer-Veriag: New York. ISBN 0-387-94942-9 https://link.springer.com/book/10.1007/978-1-4612-1830-2 0:16:20 Game of Life Scholes https://apl.wiki/John_Scholes'_Conway's_Game_of_Life 0:17:00 APLX https://apl.wiki/APLX 0:20:00 K https://k.miraheze.org0:21:37 Arthur Whitney https://apl.wiki/Arthur_Whitney0:22:06 J incunabulum https://code.jsoftware.com/wiki/Essays/Incunabulum0:22:57 Arthur Whitney Comparing APL and Lisp - https://kparc.com/lisp.txt 0:27:50 Bullet Journalling https://bulletjournal.com/pages/learn0:30:00 Chinese Language Forms https://en.wikipedia.org/wiki/List_of_Chinese_classifiers0:36:15 Notation as a Tool of Thought https://www.eecg.utoronto.ca/~jzhu/csc326/readings/iverson.pdf 0:39:33 PL Wonks Co Dfns Talk https://www.youtube.com/watch?v=9NR3sz4D4zc 0:44:21 Reversible Computing Roshan P. James https://scholar.google.com/citations?user=0sGAm4sAAAAJ&hl=en 0:47:45 Devoxx - Refactor your language knowledge portfolio https://www.youtube.com/watch?v=zajUPJI19ZQ 0:49:50 SQL https://en.wikipedia.org/wiki/SQL0:50:50 Functional Conf 2018 Live Coding https://www.youtube.com/watch?v=Gsj_7tFtODk&t=1158s 0:51:43 Aaron Hsu Resource Page https://aplwiki.com/wiki/Aaron_Hsu 0:53:00 A Data Parallel Compiler Hosted on the GPU https://scholarworks.iu.edu/dspace/handle/2022/24749 0:54:00 Patterns and Anti-patterns Dyalog https://dyalog.tv/Dyalog17/?v=9xCJ3BCIudI 0:54:17 Patterns and Anti-patterns Functional Conf 2017 https://www.youtube.com/watch?v=v7Mt0GYHU9A1:01:40 TryAPL https://tryapl.org/1:02:40 Spenserian Script https://en.wikipedia.org/wiki/Spencerian_script1:06:24 Englebart Group Cognition https://dougengelbart.org/content/view/194/ 1:11:30 Chronicles of Thomas Covenant https://en.wikipedia.org/wiki/The_Chronicles_of_Thomas_Covenant 1:12:52 ADSP podcast #56 Leetcode in BQN https://adspthepodcast.com/2021/12/17/Episode-56.html 1:17:50 A Programming Language - Iverson https://www.jsoftware.com/papers/APL.htm 1:18:00 Aaron's Website - https://www.sacrideo.us/

In this episode, Bryce and Conor have a fun chat about Bryce's recent triumphant victory over JF Bastien on Twitter.Date Recorded: 2021-11-05Date Released: 2021-11-05ADSP Episode 49: Special Guest Dave Abrahams! (Part 2)ADSP on TwitterBryce Lelbach on TwitterConor Hoekstra on TwitterJF Bastien on TwitterHana Dusíková on TwitterOlivier Giroux on TwitterISO C++ CommitteeCppCon 2017: Hana Dusikova “Regular Expressions Redefined in C++”CppCon 2018: Hana Dusíková “Compile Time Regular Expressions”C++Now 2019: Hana Dusíková “Compile Time Regular Expressions with A Deterministic Finite Automaton”CppNorth SurveyIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

Football is just around the corner and we are back better than ever thanks to Money Mike's new Money Mic! The guys give their preseason predictions for the AFC this week on the first episode of Season 3 of Another Damn Sports Podcast! --- Support this podcast: https://anchor.fm/andrew-torres9/support

0:01:45 Time Complexity of Algorithms0:01:50 APL Orchard0:03:40 Array Programming Languages (Wikipedia)0:06:08 Project Euler0:14:30 Conor's Tweet of the Kaldane Algorithm0:14:53 BQN programming language: 0:18:16 Fold Conjunction in J0:19:47 ADSP #25 Podcast0:30:46 Downloads for k0:30:46 Shakti Homepage0:53:21 Jd database0:59:23 APL Campfire1:00:05 Download for q1:00:05 Starting out in q

குழந்தைத் திருமணங்கள் , பாலியல் சீண்டல்கள் போன்ற குழந்தைகள் மற்றும் பெண்களுக்கு எதிராக நடைபெறும் குற்றங்களுக்கு எவ்வாறு சட்ட ரீதியான நடவடிக்கை எடுக்கப்படும் என்பது பற்றியும் , ஒவ்வொரு காவல் நிலையத்திலும் உதவி ஆய்வாளர் தகுதியிலான #குழந்தைகள்நலகாவல்_அதிகாரிகள் பணியில் உள்ளனர் என்பது பற்றியும் பகர்கிறார் , திண்டுக்கல் மாவட்ட குழந்தைகள் மற்றும் பெண்களுக்கு எதிரான குற்றத் தடுப்பு பிரிவு கூடுதல் துணைக் கண்காணிப்பாளர் ( ADSP ) திரு.T.வெள்ளைச்சாமி I.P.S. அவர்கள் . #childmarriage #Sexualharassment #childprotection #TNPolice #dindiguldistrict

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.23.310276v1?rss=1 Authors: Greenfest-Allen, E., Klamann, C., Valladares, O., Kuzma, A., Gangadharan, P., Leung, Y. Y., Stoeckert, C. J., Wang, L.-S. Abstract: INTRODUCTION: The NIAGADS Alzheimer's Genomics Database is an interactive knowledgebase for AD genetics that provides access to GWAS summary statistics datasets deposited at NIAGADS, a national genetics data repository for AD and related dementia (ADRD). METHODS: The website makes available >70 genome-wide summary statistics datasets from GWAS and genome sequencing analysis for AD/ADRD. Variants identified from these datasets are mapped to up-to-date variant and gene annotations from a variety of resources and linked to functional genomics data. The database is powered by a big-data optimized relational database and uses ontologies to consistently annotate study designs and phenotypes, facilitating data harmonization and efficient real-time data analysis and variant or gene report generation. RESULTS: Detailed variant reports provide tabular and interactive graphical summaries of known ADRD associations, as well as highlight variants flagged by the Alzheimer's Disease Sequencing Project (ADSP). Gene reports provide summaries of co-located ADRD risk-associated variants and have been expanded to include meta-analysis results from aggregate association tests performed by the ADSP allowing us to flag genes with genetic-evidence for AD. DISCUSSION: The GenomicsDB makes available >100 million variant annotations, including ~30 million (5 million novel) variants identified as AD-relevant by ADSP, for browsing and real-time mining via the website or programmatically through a REST API. With a newly redesigned, efficient, search interface and comprehensive record pages linking summary statistics to variant and gene annotations, this resource makes these data both accessible and interpretable, establishing itself as valuable tool for AD research. Copy rights belong to original authors. Visit the link for more info