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The rapidly advancing landscape of artificial intelligence (AI) has brought forth innovative tools and platforms designed to streamline business operations. Recent developments in AI chatbots and generative AI have particularly garnered attention, with tech giants striving to provide inclusive solutions for businesses of all sizes. In today's podcast episode of Everyday AI, the discussion about Amazon Q and its impact on the competitive AI market shed light on the potential of generative AI.
Advancements in AI Chatbots
The podcast highlighted the introduction of Amazon Q, an AI chatbot designed for enterprise applications, formulated within the architecture of Amazon Web Services (AWS). This flexible and inclusive platform is built to enable chatbots to leverage existing data in the AWS cloud, promoting seamless integration with popular business applications such as Zendesk, Dropbox, Microsoft 365, Salesforce, and Jira. The focus on data security and accessibility underscores its suitability for enterprise users, emphasizing the creation of semantic relationships between business accounts and its web-based interface.
Challenges Addressed and Critiques
Amid the excitement over Amazon Q's potential, the podcast raised discussions about the challenges faced by existing AI programs when interfacing with desktop applications, particularly in the realms of marketing and advertising. Critiques of Amazon's initial marketing strategy for Amazon Q indicated a potential oversight in targeting a broader audience, raising comparisons with competitors and their successful approaches to AI product messaging.
Democratization of Generative AI
The episode underscored the necessity of democratizing the use of generative AI, particularly for smaller companies and entrepreneurs. The emphasis on making advanced AI tools more inclusive echoes the need to bridge the gap between enterprise-focused solutions and accessibility for businesses of varying scales. The democratization of generative AI not only aligns with the growing diversification of AI applications but also presents opportunities for business growth and innovation.
Amazon Q vs. Competitors
While Amazon Q is poised to compete with the likes of Microsoft 365 Copilot, the podcast underlined its alignment with highly technical users already immersed in the AWS ecosystem. This positioning sets a clear distinction from consumer-focused AI tools and accentuates its relevance as an enterprise solution. The emphasis on integration and adoption within the AWS framework offers insight into its potential impact on enterprise customers, particularly those leveraging AWS as their cloud provider.
The introduction of Amazon Q and its position in the competitive landscape of generative AI portrays the continuous evolution of AI solutions tailored for enterprise needs. As this technology continues to advance, business owners and decision-makers are presented with valuable insights on the potential democratization of AI, encouraging a more inclusive approach to leveraging advanced AI tools within their operations.
Topics Covered in This Episode
1. Introduction to Amazon Q
2. Amazon Q Features and Integration
3. Market and Target Audience
4. Competition and Potential Impact
5. Technical Aspects and Suitability
Jordan Wilson [00:00:18]:
There's a new AI chat in town from Amazon called Amazon Q. If you haven't heard of it yet, There's not a lot of information out there about it. But don't worry. We scoured Every corner of the Internet to figure out more about what this Amazon queue is, who it's for, what it does, If it's gonna be competing with ChatGPT, Microsoft Copilot, if any of us are gonna use it. So we're gonna go over all of that and more on Today's edition of Everyday AI. Welcome. Thanks for joining. My name is Jordan Wilson.
Jordan Wilson [00:00:56]:
I'm your host, and Everyday AI is for you. It's a daily livestream, podcast, and free daily newsletter helping everyday people learn and leverage generative AI. So Before we get into Amazon queue, in today's today's discussion might might be a long one, so buckle up. And if you're joining us on the podcast, as always, check out the show notes. We always keep a lot more in there as well as, a link to go sign up for our free daily newsletter because On conversations like today, there's gonna be a lot. I'm sharing things on my screen, so don't worry. We're gonna be recapping everything in the newsletter, so go to your everyday ai.com And sign up for that free daily newsletter. And if you are joining us live, like woozy Rogers here saying good morning from Kansas City, please let me know where you're joining us from, and, also, what do you want to know about Amazon queue? The thing that I love and kind of why I even created Everyday AI, the the way that I did is so we could all learn generative AI together, so we could learn how to use it to to grow our companies and to grow our careers.
Daily AI news
Jordan Wilson [00:02:00]:
So before we dive into, Amazon Q a little bit more, let's Start as we always do with what's going on in the world of AI news. So, 2 2 kind of, bigger things to talk about today. So Meta is celebrating 10 years of AI with some announcements. So, yes, they are officially celebrating 10 years of their Meta's fun Meta's and Fundamental AI research team or FAIR team. So they are introducing some new AI models and some updates to existing models, including Ego XO four d, Audiobox and seamless communication, and their breakthroughs in combining first person and external views. So we'll be sharing about that more in the newsletter. Once you see it, it makes a little bit, little bit more sense. I did wanna talk a little bit about Audiobox.
Jordan Wilson [00:02:47]:
So it's actually kind of, Replacing or updating their voice box feature, but, Audiobox is a generative AI model for audio created by Meta. And it allows your users to generate custom audio voice prompts or text descriptions, or from text descriptions, and users can describe The sounds or speech types they want to produce like a soundtrack or a specific voice. So it looks like, Audiobox is gonna be combining both kind of text to speech And kind of that, text to music. So pretty excited, and I I I do remember from their original announcement many, many months ago, This model was pretty advanced even then, so I'm excited, to take a look at this, and, again, more in the newsletter today. 2nd piece of news. US has forced, some Saudi fundraisers to exit a hardware GPU chip project From OpenAI CEO, Sam Altman. So, we've talked about this on the show multiple times over the last couple of months, but, OpenAI's CEO, Sam Altman, has been rumored to be starting a new hardware, project specifically to create better, generative, AI chips. So GPU chips, it's these are the, kind of computing power that, all these generative AI models need.
Jordan Wilson [00:04:03]:
So, apparent according to recent reports, the Biden administration has forced, a Saudi, Aramco venture capital firm to sell its shares in the Silicon AI Valley, in the Silicon Valley AI chip startup, that, Sam Altman is working on signaling potential implications for the Middle Eastern countries' investment in US technology. So, we'll share more about that in the newsletter and a lot more news. So, make sure to go to your everyday AI.com and sign up for that free daily newsletter. Yo. It's it's not just the news, but we have, you know, different sections. We we have our bite sized news with it, which is great. Our fresh finds, which is just different AI happenings from across the web that maybe aren't news related. You know, the latest, AI tools to help you grow, your business as well as every single day.
Jordan Wilson [00:04:54]:
We break down our podcast, into a very, very descriptive level, giving you step by step instructions on how to implement this for your business. So if you're a a long time podcast listener, thank you. If you're always joining us on the livestream, Love it. Thank you. But make sure to go read that newsletter, and share it with your friends too. So let's get into this. Amazon Queue. Mabry, thanks for joining us.
What's Amazon Q?
Jordan Wilson [00:05:18]:
She says, I'm curious about as a whole, as an AWS user, it seems pretty straightforward. Tried it out. What is known about the training data of queue? Yeah. So we We will be able to get into some of those questions, but, yeah, let me know what questions you have. But let's start at the top. Let's talk about what Amazon Q even is. Right? To put it as simply as possible, Amazon Q is an AI chatbot. Right? You know, we've we've seen them from so many different companies now, but, at its core, It is an AI chatbot.
Jordan Wilson [00:05:54]:
Right? It is set up much differently, than a lot of the other, you know, AI chatbots that that we we use or we we know such as, you know, ChatGPT from OpenAI or, Bard from Google or Claude from Anthropic. So it is a little different, but you'll see here, on my screen that I'm sharing. And don't worry if if If you're on the podcast, we'll leave a link there, but I'll I'll try to do my best to describe it. But when you go into Amazon queue, it is kind of like Anything else. You're kind of greeted with these, kind of suggested prompts. You know, you'll have your kind of chat history, on the left. So Pretty familiar, user interface. So that is at its core Amazon Queue.
Jordan Wilson [00:06:43]:
But, yes, Right now, it is for AWS users only. So Amazon Web Services. That is their, kind of their cloud platform. So a lot more on that later. Because actually at the end, I'm gonna go over some things that I think Amazon got wrong with its announcement of Amazon queue And maybe is is getting wrong, and and and maybe some things that they're they're not taking into consideration. So we're gonna get to that, but we're gonna go step by step here. So that is what Amazon Q is, basics. Alright.
Jordan Wilson [00:07:17]:
So what Amazon Q Does. So in short, it allows you to bring your business processes into an AI chatbot. So so here's kind of how, it was described from the AWS CEO. You know, they were saying that essentially, hey. Right now, these different AI chatbots don't work where you work. And they're saying that, you know, hey. Afterwards, these companies, you know, kind of calling them out by name without calling them out by name, but saying essentially, OpenAI, Microsoft, and Google are trying to kind of figure out security after the fact. So what Amazon Q does is it taps into your existing AWS, architecture or your infrastructure.
Jordan Wilson [00:08:08]:
So, you know, all of the different tools that you're already using inside of AWS. And we're gonna talk about this a little bit more on a on a later slide here in a in a couple of minutes, but it is really right now geared a little bit more toward developers. Right. But, for for for more technical people that are already working in AWS. So, you know, I think early on, you're gonna see it used for, A lot of coding, for developers, data architects, IT departments, business intelligence, you know, with some, outside integrations. And also something that they mentioned that I thought was pretty interesting was even call centers. So having Amazon Queue on calls live, to provide better customer support. So to, suggest to people at call centers how to better troubleshoot, issues.
Amazon Q capabilities
Jordan Wilson [00:08:57]:
So that that that was one kind of, unique use case that that I saw that I haven't really seen yet, you know, from the, Open AIs and the Microsofts and the Googles of the world. So, what Amazon Q does or will do, it is a a flexible AI chatbot built for businesses, in the enterprise space, right, Who are already using the Amazon Web Service arc, architecture. So that's the other thing. Right? When we talk about, you you know, cloud providers Or, cloud computing. There's really just I mean, there's a lot of names in there, but it's really just the 3 big players right now. Right? So it's AWS, Number 1. Number 2 is Microsoft Azure, and then number 3 is Google Cloud. So, obviously, you you know, Microsoft Already had their kind of, AI chat or Gen AI solution with Microsoft 365 Copilot.
Jordan Wilson [00:09:54]:
Google. I'd say Google, yes, a little far behind, but For their Google Cloud users, they have, you know, Google Duet, Google, Vortex. You know? So they they already have some, you you know, kind of gen AI solutions for For their cloud customers. So, this announcement from, Amazon, couple days ago at their, reignite conference is the 1st big, all inclusive kind of, hub for generative AI, for a chat to be able to work with and And have conversations with all of your existing data that is in the AWS cloud, so to speak. Alright. So that's high level on what Amazon Q does. And, again, thank you for for everyone joining us live. Get your questions in now.
Jordan Wilson [00:10:37]:
I'm gonna try to tackle what I know, you know, because full disclosure, We're not on, you know, at at everyday AI and accelerant agency, the digital strategy company that I run, we're not on AWS. We're a small company. We're on Google. So we don't even have access to this yet, but I I watch just about every video, and read just about every article, that's that's out so far. So That is what Amazon Q does. So even sharing on the screen here, kind of an example walk through that they had. So, in this kind of example, the user is saying what product so talking to Amazon Queue to the chatbot that is already connected to its data saying, what product features are causing the most problems for customers. And then Amazon Queue then is able to go through, all of the existing data and to see how customers are reacting To this, you know, this kind of fictional example to their product or service, and they're able to see everything that's going wrong and then to give them 3 suggestions.
Jordan Wilson [00:11:36]:
And then the user, in And this example says based on this training schedule, when can we deliver more education on this topic? Right? And then also, You know what Amazon queue does? Well, it works with a lot of the popular business apps that most businesses are already using. So, Yes. You do have to be an AWS customer as of now to even use Microsoft Q. That's important. However, right now, When you talk about what Amazon Queue does, yes, it can connect to all of your data in the AWS cloud in all of your architecture there, but you can also configure it to a lot of different popular business apps such as, Zendesk, Dropbox, Microsoft 365, Salesforce. Right? So, Jira. So in this, example here that I'm showing on the screen after this conversation about what problems are our customers, facing, you know, you could then say to Amazon queue, alright. Hey.
Jordan Wilson [00:12:37]:
Create a task for me, and then it's gonna automatically create, a task if you're connected Jira. You know, that's one of the project management tools that right now Amazon Queue connects with out of the box. Alright? So It's a high level view of what Amazon queue does. So now let's talk about a little bit about how it works. Alright. So Seemingly pretty simple. Right? So we have another kind of 1, 2, 3 slide demonstration from info someone at the AWS keynote. I believe this was from, Tuesday.
Jordan Wilson [00:13:14]:
So they said it's simple. Right? They say it's very simple. So it's like step 1, you configure. So you go in and you connect, your queue to your a, to your AWS. So like I said, it is already connected to your AWS account. So right now, You can't get access to Amazon queue if you are not an AWS customer. So you essentially sign in to your AWS account, and then you configure your Amazon queue. So that's when you say, hey.
Jordan Wilson [00:13:37]:
These are the different tools that we're currently using, you know, whether it's Dropbox, Salesforce, Microsoft 365, GitHub, Slack, you know, is is probably gonna be, something that's that's pretty popular. I do believe they have some, basic Google Drive integration. So, I did think that that was interesting that they mentioned, you know, Microsoft integrations and Google integrations by name. I thought that was Fairly interesting. Even though they're trying to position themselves as a competitor, they are understanding that a lot of their AWS customers are running on Microsoft apps or are running, on Google apps. So I did find that interesting. So they say step 1 is configure and then step 2 is connect. So there is essentially a a learning process of sorts where, Amazon Key is is taking in all of this data, and it's starting to create semantic relationships between all of your different business accounts that you're connecting.
Jordan Wilson [00:14:37]:
So if you're connecting your Your Dropbox in this example, you know, there it's it's connecting Dropbox, Salesforce, Zendesk, Slack, Microsoft 365, in in Amazon s three. So it's connecting all of these very popular business apps, and it's essentially on a per user basis because this is set up at, $20 per user per month. And, again, this is really geared toward the enterprise. So in this 2nd step, it is creating and Kind of semantic relationships between all of the different data that you use. So as an example, it's figuring and finding out. And Amazon says that, hey. This is security first, you know, not security afterwards like some of the others. So they're saying, hey.
Jordan Wilson [00:15:19]:
If you don't have access to something in Slack as an example, when you connect your Slack, it is already keeping in mind the security and the access that you already have. So watching Amazon's keynote, they they they placed a very high emphasis on data security and access just because right now, You know, that's the hot topic. I think that's one of the reasons why more enterprise customers and more, you know, businesses, Kind of en masse haven't been really running out to use generative AI tools because they're they're not sure about those things, about data security, About privacy, about, access, you know, to different tools and what happens in a, you know, in large enterprise environments when everyone has, You know, different access to different files. So that's that's a big step right here is this connect phase that I'm showing on the screen if you are joining us live where, Essentially, you know, Amazon Q is is building up, an internal database for this user, and then connecting it all within their AWS account. Alright. Then they say step 3 is pretty easy. You just go. Right? You configure, you connect, and you go.
Jordan Wilson [00:16:27]:
So you do, access Amazon Queue once you go through those steps In a web based interface. So this isn't a a desktop program. Right now, you you are logging in online like you would a traditional chatbot. And that part is important, and I'm gonna talk a little bit more about that later. Alright. So let's let's keep going. Let's keep going. And I do see some comments coming in.
Jordan Wilson [00:16:53]:
I'll try to address them at the end if I can, but yeah. What are you guys thinking about Amazon Q so far? Do Do you think it's gonna replace do you think they're gonna take a lot of maybe chat GPT enterprise customers, or do you think that, maybe Microsoft 365 Copilot, teams are gonna be looking at, you know, Amazon Queue and wanting to jump ship. Let me know what you think. So let's talk about this, who Amazon Queue is for? Well, it's pretty simple. Right now, it's for AWS users, and I think that's a miss. I'm gonna talk I'm gonna talk about why at the end. I'm gonna go on just just maybe a mini rant today. Not a long run, But that's who it's for right now.
Who is Amazon Q for?
Jordan Wilson [00:17:35]:
A high emphasis, on their keynote and on their messaging early on About that, you you know, saying, hey. Right now, AI chats don't work where you work, and Amazon's saying you work in AWS. Obviously, it is a little bit more for technical people. But, you know, even Amazon says that they've been using this internally. You know that they've been using this internally, obviously, to test it and build it. And the example that they say that, you know, some of their teams that They updated 1,000, Java application upgrades in 2 days. When normally updating a single Java application Used to take a day in and of itself. Right? So you're talking about, you know, huge what is that? Like, 500 x, productivity improvements, you know, in this one very specific use case.
Jordan Wilson [00:18:24]:
Again, right now, it Seems like Amazon Q is more for technical people. It's more for those people in IT, more for those people in data, more for those people in business intelligence and, you know, data architects, data visualization, you know, potentially call centers. So I think that's important to, to talk about. And and and really, Microsoft all all but said or or sorry. Amazon all but said, this isn't for consumers. You you know? They they really said this. This isn't for consumers. So, you know, if if you're someone like me, You know, maybe small business or an entrepreneur or solopreneur.
Amazon Q vs ChatGPT and Microsoft Copilot
Jordan Wilson [00:19:04]:
Unless you are using AWS as part of a project, a product that you're building, a software that you're building, Yeah. Amazon Q might not be for you, at least not now. Alright. Let's keep this let's keep this thing going. Here's the fun stuff. Here's what I wanted to get into. And kind of the, the crux of this episode and kind of what this episode is titled, you know, is Amazon Queue and AI chat replacement for Chat GPT. Is it a competitor to Microsoft Copilot? Alright.
Jordan Wilson [00:19:38]:
Let's talk about that a little bit. I'd say right now, Amazon Q is is positioned somewhere in the middle. Right. Let's talk about this. Chat GPTs for anyone. You know? Google BARDs for anyone. Microsoft 365 Copilot, I think, eventually, will be for anyone. You know, right now as of, you know, it's been released, you know, to some enterprise teams for 1 full month, and they'll be, you know, reportedly releasing, Microsoft will releasing Microsoft 360 and CoPilot, to to all users, soon in the coming months or quarters.
Jordan Wilson [00:20:19]:
But right now, I I think ChatGPT is for literally anyone. I think Microsoft 3 65 Copilot will eventually be for anyone On Windows. And Amazon Q right now, I think, is trying to carve out its place Among developers, among highly technical people, you you know, the the IT people, people in business intelligence, and, obviously, People that are already using AWS, you know, from front to back. I think in those use cases, ad The, adoption rate's gonna be very high. Right? So if you're out there and if you or your company or your department It's enterprise and you're already using AWS and you haven't got fully behind, you know, maybe ChatGPT's enterprise product or Microsoft 3 and 5 Copilot. Maybe you don't have access yet. Maybe you do, and your company hasn't jumped on board yet. Maybe because you're using AWS as your cloud provider and not Microsoft Azure.
Jordan Wilson [00:21:24]:
Right? So I think so much of this as well is for those enterprise companies, who is your cloud provider? Right. Because I think for the most part, this is going to be a no brainer. If you're using, like, so many enterprise business businesses are, If you're using AWS, I think using, Amazon Q at $20 a month per user Per month is a no brainer. Right? The onboarding process seems pretty simple. Your data is already, You you know, your data and and integrations are already, in the AWS cloud, so to speak. So I think that's gonna be pretty easy. But what about for everyone else? Right? Yes. AWS is the the leader in the cloud race, but what about for everyone else? Maybe on Microsoft Azure, Maybe, if if your data is on, Google Cloud, other cloud providers, or here's something, one of my gripes that I'm gonna What if you don't even use a cloud provider right now? Well, Amazon Q is not for you in that case.
Jordan Wilson [00:22:28]:
Right. At least not right now. At least not with their initial messaging. Right? You know, even in interviews after the, AWS CEO was asked Specifically, is this for developers only? Right? Is this an AWS centric product? And didn't really answer that very directly, kind of, You know, skirted around the question, but at least for right now, Amazon Q looks exclusively for if you are running your business on AWS and probably at first just for more of those people in technical fields. So if you're you're Encoding in, you know, developer IT, you know, business intelligence, something like that. Aside from that, I don't see a big rush of people from being honest, either saying, oh my gosh. I want access to Amazon queue, so I'm gonna Move our cloud provider so we can be on AWS and use this. I don't see that.
Jordan Wilson [00:23:24]:
I don't see that, at least not Widespread. I don't see widespread people moving their cloud provider just to just to get on AWS. Now, again, The, the messaging wasn't a 100% clear. You may be able to, you know, sign up for an AWS, not migrate, You know, all of your data over and still use some of the basic features, of Amazon Queue there. Again, the messaging wasn't super clear. And unless you've done that process yourself, you know, we don't know right now. Yes, Douglas. Don't worry if you're late.
Jordan Wilson [00:23:58]:
The hot takes are coming. Alright. Alright. Question question here from Douglas asking, do you know if AWS queues ties in automation similar to how, Microsoft Power Automate or Zapier with Chat GPT? I'm not sure about Zapier. It was not listed as one of those first, you know, 40 business applications that Queue can, on the onboarding process that you can, connect directly to. Again, if you have access and if you're listening on the live stream, you know, I know, like, as an example, 1 or 2 people already that you you have access to it. You can let us know. Right? They didn't list every single, you you know, 40 business apps.
Jordan Wilson [00:24:36]:
I didn't see it anywhere but Zendesk, Dropbox, Microsoft three 65 Google, Salesforce. I didn't see Zapier in there. So, yeah, it'll be interesting to see if they do add something like Zapier or Make or Bardeen or other, automation platforms that so many of us use. But So is it? Let me just answer. I don't think I don't think that right now Amazon Q is a direct competitor to ChatGPT. What I do think they are and where they're competing, I'd say, is they're competing right now For all of those Microsoft Azure cloud customers that haven't yet that either they don't have access to Microsoft 365 Copilot Or maybe they haven't jumped on board yet. That's who I that's where I think the real competition lies. Because like I said, I think a lot of this, Because it's a technical first product.
Jordan Wilson [00:25:32]:
That's how it's being marketed to highly technical people, to developers, to IT, departments, right, To to business intelligence people. So I think early on, if you're on AWS, this is gonna be a no brainer. Right? Even if maybe you've already started to integrate through your operating system onto Microsoft 365 because I think the two Platforms, can coexist. Right? I think at least with Microsoft 365 because it's on the desktop. Right? That's the difference here. That's the difference here, everyone. And that's why I've been saying for many months that when Microsoft 365 Copilot is fully released to Right? Right now, the rollout has been high level enterprise clients first, dripping it out to everyone. I think once everyone gets access To Microsoft 365 Copilot, if you are a Windows user, that's going to be the true game changer.
Jordan Wilson [00:26:26]:
Right? Because even with Amazon queue, You gotta log in. Right? I know that sounds that sounds funny, but when you're working on desktop programs, There is still you know, unless it's one of those, in Amazon Queue's example, unless it's one of those 40 programs, you you know, that connect directly. But, You know, if if if if you're someone like me, an entrepreneur, someone in marketing, advertising, I use way more than 40 business programs. Right? Like, way more. So that doesn't help me, but I think with Microsoft 365 Copilot, when you bring generative AI to the desktop, To all of the different programs that you're using. So whether it's Microsoft Word, Microsoft Excel, you know, your Outlook, you you know, your email in Microsoft Outlook, Your meetings in Microsoft Teams. That's where I think generative AI. If you're if if you're gonna say this is built for business, this is built where you work.
Jordan Wilson [00:27:24]:
Right? I still think in my example, at least as it is today. Right? Chat GPT versus Amazon Q versus Microsoft 3 65 Copilot. I think Microsoft 3 and 5 Copilot, out of those 3 at least, has the highest ceiling. I really think it does. You know? Is you know, has Chat GPT hit its ceiling? Are there another 100,000,000 users out there that are still gonna go on the platform when now competitors are catching up? I don't think so. I don't think so. I still think they'll show steady growth, but I don't think you're gonna have, you know, a 100,000,000 plus. I I mean, I'm sure over time.
Jordan Wilson [00:28:07]:
Right? But Not in the next couple of quarters where I see I see right now Microsoft 365 having that potential for for much more growth Right now, even when you compare it to Amazon's queue, mainly because not everyone is an AWS customer. And, again, I think there's something a huge selling point in a simplicity of Having a generative AI system on your desktop. That is where you work across all your different desktop programs and not having to manually integrate, in in having a generative AI that not in a creepy way, but follows you everywhere. Alright. So what do you think? I'd love to get your thoughts on this. Where do you think that everyone's competing? Right? Do you think Amazon Q is going after AWS. Comment from Maybrit here. Maybrit, thanks thanks for tuning in as always.
Jordan Wilson [00:29:06]:
Maybrit did say that she's been she tested it out so far. So She says I use AWS's free tier. Alright. That's good to know, Mabryt. And I do think it's a great tool to troubleshoot issues faster than chat gbt doesn't perfectly understand. Looking forward to trying it out more. Yeah. So, that's good to know.
Jordan Wilson [00:29:22]:
So the AWS free tier apparently can work with Amazon Q. Again, that's something I couldn't find on Amazon's website. They didn't mention it in the in the in the keynote, at at least not not to my recollection. I listened to it, once or twice. So, again, the messaging and the marketing so far at least, Amazon seems to be pushing q on on the technical people, on the developers, On those that are already deeply ingrained into AWS as their, you know, kind of cloud architecture. And and and So I'm I'm not sure on their marketing how this was initially delivered. We'll see. Obviously, it's only a couple of days old.
Initial reaction of Amazon Q
Jordan Wilson [00:30:00]:
I'm sure we're gonna see a lot of ongoing marketing from Amazon trying to push this on the everyday customer, but I didn't get that. I didn't get that originally. Alright. Let's keep this going. A couple more things. Let's talk about the initial reaction. It wasn't good. It wasn't good.
Jordan Wilson [00:30:19]:
Right? So on the screen here, I have Amazon stock price. So after the announcement of queue, it went down, you know, nothing drastic, but about 2%. K. In 2%, when you're a $1,000,000,000,000 market cap company, it's a lot. It's a lot. Right. And then we compare it to Microsoft. So when Microsoft Had their, kind of conference here about 3 weeks ago.
Jordan Wilson [00:30:53]:
So what right? They they, Amazon just announced this at their, at their conference, 3 weeks prior or about 2 weeks prior, actually, Microsoft announced a lot of Gen AI, announcements, you know, at their conference, including that they were building GPU chips, you know, kind of some some new features that were coming to Copilot. But the difference is, if we exclude that Friday afternoon, November 17th, that was the last day of Microsoft's conference, their 3 day conference. But at the very end of the day, you know, it came out that, hey. Sam Altman's fired. And when Microsoft owns 49% Of OpenAI, yeah, their stock took a dive that Friday afternoon right before trading closed. But If you take Microsoft's stock up until that Friday afternoon, it went up 3% after it's, You know, talking about the new Copilot announcements, talking about their new in house GPU chips. Comparatively, yes. Hey.
Jordan Wilson [00:31:55]:
Amazon announced their own GPU chips. Right. And then they unveiled queue. So I don't think you can, you know, say, hey. Well, you know, Amazon's queue went down Because of, you know, market sentiment or, you know, consumers' behavior toward their announcements about q. But you can look at it collectively, and that's a big difference. When we're talking about companies with $1,000,000,000,000 market caps, Microsoft, again, up until that last afternoon, went up 3%. Amazon down 2%.
Jordan Wilson [00:32:29]:
I can't emphasize enough when we're talking about multitrillion dollar companies. Dropping 2% is losing tens of 1,000,000,000 of dollars on your market cap. Going up, 3% is adding. You know, in Microsoft's case, nearly a 100,000,000,000, but it's adding tens of 1,000,000,000 of dollars in your market cap. So, again, you can't judge it by just that. Right. You have to be able to zoom out, but I'd agree. I'd agree.
What Amazon got wrong with Q
Jordan Wilson [00:32:58]:
I think Well, let's just let's just get straight to the hot take, shall we? What Amazon got wrong. What they got wrong. Well, a couple things. It was rumored well, let's start let's let's start here. It was rumored that Microsoft or or sorry. It was rumored that Amazon last year at this very conference 1 year ago was going to announce Their AI chatbot. We didn't know if it was gonna be called Q. There was rumors, you know, for the last couple of months, it was gonna be called something called Olympus.
Jordan Wilson [00:33:30]:
Right? But there was reporting that Amazon was going to release this last year, but kind of, hey. OpenAI and Chad beat them to the punch. You know, it was last year, I think November 29th or November 30, 2022 that OpenAI released chat gpt. So, We don't know if that's the reason why they delayed it or maybe if it wasn't ready, but Amazon has had reportedly a year To work on this. Right? To to work on the actual product, right, which I cannot speak to, But to also work on the marketing and the messaging. And I think Amazon got a lot of things wrong When talking about Amazon Q. Again, I'm not talking about the product itself. I haven't used it.
Jordan Wilson [00:34:16]:
I'm sure it's literally fantastic, You know, from from some of the early reviews that I've read, it seems like it's going to be very impactful to the way that companies do work. However, if you have a year to plan this, right, And all the other major companies all the other major companies, and I'm I'm really looking at, like, 4. Right. So I'm looking at OpenAI's chat GPT. I'm looking at Microsoft's 365 Copilot and Bing chat. Alright. I'm looking at Google Bard. Well, technically, 5.
Jordan Wilson [00:34:53]:
I'm looking at, Anthropics Cloud, and I'm looking at Meta Meta's Llama and all our different models. These 5 other juggernaut companies well, 4. Anthropic's not technically juggernaut yet, but they're up there in terms of large language models. But you have these 5 other juggernaut companies that already collectively have hundreds of millions of users. Their products are already out in the wild. And I think that Amazon dropped the ball in appealing to more people. Right? Hey. I'm finding out now live on the show from a commenter that you can sign up for an AWS free account, and that apparently, Amazon Q will work there.
Jordan Wilson [00:35:36]:
That should have been communicated. The marketing and the messaging, in my opinion, missed the mark. This seemed solely aimed. Looking at the website, watching their keynote, watching their kind of intro videos, You know, on on Microsoft or or sorry. On Amazon queue. I think they missed the mark. I think they really geared this toward Highly technical preexisting AWS customers. I think they missed the mark.
Jordan Wilson [00:36:06]:
Right. Because I'm looking at this, and I'm like, hey. I use I use a lot of these tools. Right? You know, these 40 business applications. And and, you know, clients that we work with, they they they use Zendesk and Salesforce and Slack. Right? So immediately, I'm thinking, well, Either these clients are on AWS or they're on some, you know, other cloud cloud platform or not even a cloud platform at all. That's the other thing is I think there are so many Small businesses that maybe aren't even on a cloud provider. I know that might seem crazy to you if you're a technical in person or if you work in an enterprise company.
Jordan Wilson [00:36:44]:
Yes. There are small businesses out there that don't have a cloud provider. You know? They just have their email and, Yeah. They have. Maybe they're Salesforce or they're Slack, but they don't maybe have that cloud provider kind of tying it all together. So I think that Amazon, At least in their initial marketing and messaging, really drop the ball and miss the mark. Because I think for a lot of those companies, there are tens of millions of customers In that, you know, small small to medium sized businesses that maybe aren't on any cloud provider yet and that are using these 40, you know, business tools and applications, and I think that Amazon missed the mark in directly appealing to them and saying, hey. Don't worry if you're not an AWS customer.
Jordan Wilson [00:37:25]:
You can sign up for free. You don't have to migrate anything over if that's the case. Right? But, again, they missed the mark. And focusing too much on this being for existing AWS customers that are running their day to day operations in AWS. I think it was to enterprise focused. And, also, they really kind of all out said this isn't for consumers. And, you you know, the interviews afterwards and, You know, all the tech journalists covering this on on TV, radio, I I listen to the interviews, the articles. It was pushing that this isn't for consumers.
Jordan Wilson [00:38:04]:
This is for business. This is for enterprise. Why? Why? I think there's this common misconception now. Right? And there's this growing divide That hey. These AI, you know, enterprise systems, they're enterprise. Why? Right? That's that's what I wanna know because I I think that especially generative AI. Right? It's different if we're talking about more Your traditional artificial intelligence that's been used in the business circles for many decades. You know? Your old school AI, so to speak, your your deep learning machine learning models.
Jordan Wilson [00:38:47]:
Right? I can see how that's probably for enterprise companies, but when I look at something like Amazon Q, I was reading this as this is great. This could be great For small companies, for entrepreneurs, for solopreneurs. But you have Amazon, Maybe I think not doing a good enough job controlling that narrative or doing a good enough job in their marketing and messaging that this can be for everyone, That this AI tool can be for everyone because it seemed like it was just geared toward highly technical enterprise companies. And I think that's a common misconception That is around generative AI right now. That small companies, entrepreneurs, solopreneurs, generative AI isn't for you. Guess what? I have a small business. I work with small businesses, you know, that they're definitely not enterprise. Right? You know, we've worked from Teams that are are small as 10 people to teams that are 200.
Jordan Wilson [00:39:51]:
And if I sat down with the CEOs of all those different companies that I've worked with and I showed them Amazon Queue And and and they watch that. You you know, the hour and a half keynote or whatever it was. They'd say, oh, yeah. This product isn't for us. I think big big tech companies need to do a better job at making generative AI more inclusive. I think they you know, you know, when we say generative AI is, you know, democratizing the AI technology, well, that Needs to be from the bottom up because I think there's so many great even myself, I saw this, and I'm like, this seems like it's for me, for my clients that I work with. Right? But the messaging and the marketing and saying, hey. This is for this isn't for consumers.
Jordan Wilson [00:40:37]:
This is for enterprise. This is if you have, you know, terabytes of of data in in your AWS and, you know, floating around in the cloud. Well, it can be for everyone. It can be for everyone. Alright. I think that's all for my rant, guys. I think that's all for my rant, but let me get to a couple questions. Tanya saying, does that mean that and ChatGPT wrote their marketing without a copywriter.
Jordan Wilson [00:41:01]:
It's funny. I don't know. You know, I would like to I would like more disclosure in those things. Tanya, you bring up a great question. You know, I always think of the smartphone commercials, you know, on TV, and then they say, oh, shot with, you know, iPhone or shot with, you know, Samsung Galaxy or something, and then you find out later. It's like, oh, they actually used a $50,000 camera as well, something like that. Yeah. I would I would like to, I would like to know that as well.
Jordan Wilson [00:41:29]:
Alright. Let's, Doug, another another good good question from Douglas. Douglas, thanks. So asking for Copilot with Microsoft Office, do you think it is with enterprise only because Copilot needs access to mouse massive amounts of company data, emails, docs, PowerPoints, and Etcetera in order to be successful, and that is the reason it is not generally available. I'd say in general, Douglas, I think when you look at large enterprise enterprise offerings. They normally do it from, you you know, biggest companies down because they wanna make sure, you know, hey. The thing with enterprise, let's be honest, It's money. It's money.
Jordan Wilson [00:42:04]:
You know? You're paying for, you know, Microsoft Copilot, I believe, is $30 per month per user. Amazon queue, $20 per month per user. So they wanna make sure that those companies that have tens of thousands of employees, They wanna make sure that those companies get access first, that they can work out those issues and make it work for them. Because if you can make it work for, And have a company find success that has 50,000 employees. It's gonna be an easier sell to a company that has 5,000. I would say that's probably, but, again, that's why they have, you know, teams of very smart people working on their, you know, on their go to market strategy and on their product and software rollouts and not some some random guy talking about AI every day. But I would assume that is why you wanna make sure those large enterprise customers first find success, with the products that they can show, a tangible return on investment by using those products because then that's what sells. That's what sells to everyone else.
Jordan Wilson [00:43:01]:
But, Yeah. I I I mean, you see that with, actually, all 3. Right? There is an enterprise version of ChatGPT. I know myself and so many other, you know, quote, unquote, smaller businesses signed up for access, signed up to get a demo call. I've never heard anything. Right. I talk ChatGPT almost every day, you know, on one of the largest tech podcasts in the world, and I can't even get someone, You know, from, you know, Chat GPT enterprise to tell me more about the product. So, yeah, I do think Chat GPT enterprise, you know, obviously, right now, we're Microsoft 365 Copilot is, you know, dripping out first to enterprise and then even with Amazon's, Amazon queues, initial marketing and messaging and Really geared toward those those much larger enterprise companies.
Jordan Wilson [00:43:46]:
So, yeah, I do have a small rant and a bone to pick with all those tech companies because If you want generative AI to be used on the day to day, sometimes it is those individuals. It is those small companies. It is those entrepreneurs. It is those start ups that bring the momentum to others. And, you know, people, hey, even like myself that are teaching others about it. So I think that there is an issue right now across the board in big tech with their new gen AI models, you know, being a little too, selective in their rollout. Alright. That's it.
Jordan Wilson [00:44:20]:
I didn't want this to turn into a 6 hour, show, but I hope now you understand A little bit more about Amazon queue, who it's for, what it does, How it's competing with with others, you know, and if you're gonna use it. Like I said, I think for those customers that are already in the AWS, ecosphere, I think it's gonna be wildly successful. I think what you're gonna see, you're gonna see Amazon fighting for other, enterprise clients maybe that are on Microsoft Azure, that are on Google Cloud to see if they'll migrate or, for whatever reason, if there are larger companies that aren't dedicated or and married to their cloud provider right now. But I think right I think overall, I'm personally excited anytime we see a great looking, generative AI products. So I do think, don't get me wrong. You know, I gotta get my some some some griping in and, a little bit of ranting at the end. But I do think that this Amazon queue is an incredibly powerful product. I think it is really gonna help push the generative AI space Forward.
Jordan Wilson [00:45:35]:
Alright. That's it for today. I know it's a lot. Make sure you go to your everyday AI.com. Sign up for that free daily newsletter. We Dove into a ton today. We're gonna be breaking it down as we do every single day and a lot more. So thank you for joining.
Jordan Wilson [00:45:49]:
Hope to see you back ad Next week and every other day after that.