Podcasts about use cases

James and Amy take audience questions and discuss their favorite hot topics talking about frameworks, AI, and jobs.Sponsor###Contenful Contentful is the leading composable content platform that allows developers to build intelligent experiences to drive brand engagement. It gives content creators the tools they need to create, manage, and publish content seamlessly across every channel. Managing content has never been so easy or flexible.Check out ContentfulHashnodeCreating a developer blog is crucial in creating an online presence for yourself. It's proof of work for your future employer. Hashnode makes it easy to start a blog in seconds on your custom domain for free. It's fully optimized for developers and supports writing in Markdown, rich embeds, publishing from GitHub repository, syntax highlighting, and edge caching with Next.js blogs deployed on Vercel. On top of these, Hashnode is free from paywall, ads, and sign-up prompts.Hashnode is a community of developers, engineers, and people in tech. Your article gets instant readership from their growing community.Check out Hashnode, and join the community.Daily.devdaily.dev is where developers grow together. It provides a community-based feed of the best developer news, helping you stay up-to-date. daily.dev aggregates hundreds of sources every few minutes and creates a personal feed for you according to your interests, whether it's web dev, data science, or Elixir. Anything you might be interested in, it has the content for you.Check out daily.devShow Notes00:00 Introduction01:33 Use Cases for AI07:48 Choosing Frameworks10:22 Next and Remix26:31 Money Talk for Frameworks34:45 Knowing Multiple Frameworks39:19 Landing a Job46:46 Leaving Coding51:49 Picks and Plugs

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Jeff Morris, VP of Product & Solutions Marketing at Couchbase, joins Corey on Screaming in the Cloud to discuss Couchbase's new columnar data store functionality, specific use cases for columnar data stores, and why AI gets better when it communicates with a cleaner pool of data. Jeff shares how more responsive databases could allow businesses like Dominos and United Airlines to create hyper-personalized experiences for their customers by utilizing more responsive databases. Jeff dives into the linked future of AI and data, and Corey learns about Couchbase's plans for the re:Invent conference. If you're attending re:Invent, you can visit Couchbase at booth 1095.About JeffJeff Morris is VP Product & Solutions Marketing at Couchbase (NASDAQ: BASE), a cloud database platform company that 30% of the Fortune 100 depend on.Links Referenced:Couchbase: https://www.couchbase.com/TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. This promoted guest episode of Screaming in the Cloud is brought to us by our friends at Couchbase. Also brought to us by Couchbase is today's victim, for lack of a better term. Jeff Morris is their VP of Product and Solutions Marketing. Jeff, thank you for joining me.Jeff: Thanks for having me, Corey, even though I guess I paid for it.Corey: Exactly. It's always great to say thank you when people give you things. I learned this from a very early age, and the only people who didn't were rude children and turned into worse adults.Jeff: Exactly.Corey: So, you are effectively announcing something new today, and I always get worried when a database company says that because sometimes it's a license that is going to upset people, sometimes it's dyed so deep in the wool of generative AI that, “Oh, we're now supporting vectors or whatnot.” Well, most of us don't know what that means.Jeff: Right.Corey: Fortunately, I don't believe that's what you're doing today. What have you got for us?Jeff: So, you're right. It's—well, what I'm doing is, we're announcing new stuff inside of Couchbase and helping Couchbase expand its market footprint, but we're not really moving away from our sweet spot, either, right? We like building—or being the database platform underneath applications. So, push us on the operational side of the operational versus analytic, kind of, database divide. But we are announcing a columnar data store inside of the Couchbase platform so that we can build bigger, better, stronger analytic functionality to feed the applications that we're supporting with our customers.Corey: Now, I feel like I should ask a question around what a columnar data store is because my first encounter with the term was when I had a very early client for AWS bill optimization when I was doing this independently, and I was asking them the… polite question of, “Why do you have 283 billion objects in a single S3 bucket? That is atypical and kind of terrifying.” And their answer was, “Oh, we built our own columnar data store on top of S3. This might not have been the best approach.” It's like, “I'm going to stop you there. With no further information, I can almost guarantee you that it was not.” But what is a columnar data store?Jeff: Well, let's start with the, everybody loves more data and everybody loves to count more things, right, but a columnar data store allows you to expedite the kind of question that you ask of the data itself by not having to look at every single row of the data while you go through it. You can say, if you know you're only looking for data that's inside of California, you just look at the column value of find me everything in California and then I'll pick all of those records to analyze. So, it gives you a faster way to go through the data while you're trying to gather it up and perform aggregations against it.Corey: It seems like it's one of those, “Well, that doesn't sound hard,” type of things, when you're thinking about it the way that I do, in terms of a database being more or less a medium to large size Excel spreadsheet. But I have it on good faith from all the customer environments. I've worked with that no, no, there are data stores that span even larger than that, which is, you know, one of those sad realities of the world. And everything at scale begins to be a heck of a lot harder. I've seen some of the value that this stuff offers and I can definitely understand a few different workloads in which case that's going to be super handy. What are you targeting specifically? Or is this one of those areas where you're going to learn from your customers?Jeff: Well, we've had analytic functionality inside the platform. It just, at the size and scale customers actually wanted to roam through the data, we weren't supporting that that much. So, we'll expand that particular footprint, it'll give us better integration capabilities with external systems, or better access to things in your bucket. But the use case problem is, I think, going to be driven by what new modern application requirements are going to be. You're going to need, we call it hyper-personalization because we tend to cater to B2C-style applications, things with a lot of account profiles built into them.So, you look at account profile, and you're like, “Oh, well Jeff likes blue, so sell him blue stuff.” And that's a great current level personalization, but with a new analytic engine against this, you can maybe start aggregating all the inventory information that you might have of all the blue stuff that you want to sell me and do that in real-time, so I'm getting better recommendations, better offers as I'm shopping on your site or looking at my phone and, you know, looking for the next thing I want to buy.Corey: I'm sure there's massive amounts of work that goes into these hyper-personalization stories. The problem is that the only time they really rise to our notice is when they fail hilariously. Like, you just bought a TV, would you like to buy another? Now statistically, you are likelier to buy a second TV right after you buy one, but for someone who just, “Well, I'm replacing my living room TV after ten years,” it feels ridiculous. Or when you buy a whole bunch of nails and they don't suggest, “Would you like to also perhaps buy a hammer?”It's one of those areas where it just seems like a human putting thought into this could make some sense. But I've seen some of the stuff that can come out of systems like this and it can be incredible. I also personally tend to bias towards use cases that are less, here's how to convince you to buy more things and start aiming in a bunch of other different directions where it starts meeting emerging use cases or changing situations rapidly, more rapidly than a human can in some cases. The world has, for better or worse, gotten an awful lot faster over the last few decades.Jeff: Yeah. And think of it in terms of how responsive can I be at any given moment. And so, let's pick on one of the more recent interesting failures that has popped up. I'm a Giants fan, San Francisco Giants fan, so I'll pick on the Dodgers. The Dodgers during the baseball playoffs, Clayton Kershaw—three-time MVP, Cy Young Award winner, great, great pitcher—had a first-inning meltdown of colossal magnitude: gave up 11 runs in the first inning to the Diamondbacks.Well, my customer Domino's Pizza could end up—well, let's shift the focus of our marketing. We—you know, the Dodgers are the best team in baseball this year in the National League—let's focus our attention there, but with that meltdown, let's pivot to Arizona and focus on our market in Phoenix. And they could do that within minutes or seconds, even, with the kinds of capabilities that we're coming up with here so that they can make better offers to that new environment and also do the decision intelligence behind it. Like, do I have enough dough to make a bigger offer in that big market? Do I have enough drivers or do I have to go and spin out and get one of the other food delivery folks—UberEats, or something like that—to jump on board with me and partner up on this kind of system?It's that responsiveness in real, real-time, right, that's always been kind of the conundrum between applications and analytics. You get an analytic insight, but it takes you an hour or a day to incorporate that into what the application is doing. This is intended to make all of that stuff go faster. And of course, when we start to talk about things in AI, right, AI is going to expect real-time responsiveness as best you can make it.Corey: I figure we have to talk about AI. That is a technology that has absolutely sprung to the absolute peak of the hype curve over the past year. OpenAI released Chat-Gippity, either late last year or early this year and suddenly every company seems to be falling all over itself to rebrand itself as an AI company, where, “We've been working on this for decades,” they say, right before they announce something that very clearly was crash-developed in six months. And every company is trying to drape themselves in the mantle of AI. And I don't want to sound like I'm a doubter here. I'm like most fans; I see an awful lot of value here. But I am curious to get your take on what do you think is real and what do you think is not in the current hype environment.Jeff: So yeah, I love that. I think there's a number of things that are, you know, are real is, it's not going away. It is going to continue to evolve and get better and better and better. One of my analyst friends came up with the notion that the exercise of generative AI, it's imprecise, so it gives you similarity things, and that's actually an improvement, in many cases, over the precision of a database. Databases, a transaction either works or it doesn't. It has failover or it doesn't, when—Corey: It's ideally deterministic when you ask it a question—Jeff: Yes.Corey: —the same question a second time, assuming it's not time-bound—Jeff: Gives you the right answer.Corey: Yeah, the sa—or at least the same answer.Jeff: The same answer. And your gen AI may not. So, that's a part of the oddity of the hype. But then it also helps me kind of feed our storyline of if you're going to try and make Gen AI closer and more accurate, you need a clean pool of data that you're dealing with, even though you've got probably—your previous design was such that you would use a relational database for transactions, a document database for your user profiles, you'd probably attach your website to a caching database because you needed speed and a lot of concurrency. Well, now you got three different databases there that you're operating.And if you're feeding data from each of those databases back to AI, one of them might be wrong or one of them might confuse the AI, yet how are you going to know? The complexity level is going to become, like, exponential. So, our premise is, because we're a multi-modal database that incorporates in-memory speed and documents and search and transactions and the like, if you start with a cleaner pool of data, you'll have less complexity that you're offering to your AI system and therefore you can steer it into becoming more accurate in its response. And then, of course, all the data that we're dealing with is on mobile, right? Data is created there for, let's say, your account profile, and then it's also consumed there because that's what people are using as their application interface of choice.So, you also want to have mobile interactivity and synchronization and local storage, kind of, capabilities built in there. So, those are kind of, you know, a couple of the principles that we're looking at of, you know, JSON is going to be a great format for it regardless of what happens; complexity is kind of the enemy of AI, so you don't want to go there; and mobility is going to be an absolute requirement. And then related to this particular announcement, large-scale aggregation is going to be a requirement to help feed the application. There's always going to be some other bigger calculation that you're going to want to do relatively in real time and feed it back to your users or the AI system that's helping them out.Corey: I think that that is a much more nuanced use case than a lot of the stuff that's grabbing customer attentions where you effectively have the Chat-Gippity story of it being an incredible parrot. Where I have run into trouble with the generative story has been people putting the thing that the robot that's magic and from the future has come up with off the cuff and just hurling that out into the universe under their own name without any human review, and that's fine sometimes sure, but it does get it hilariously wrong at some points. And the idea of sending something out under my name that has not been at least reviewed by me if not actually authored by me, is abhorrent. I mean, I review even the transactional, “Yes, you have successfully subscribed,” or, “Sorry to see you go,” email confirmations on stuff because there's an implicit, “Hugs and puppies, love Corey,” at the end of everything that goes out under my name.Jeff: Right.Corey: But I've gotten a barrage of terrible sales emails and companies that are trying to put the cart before the horse where either the, “Support rep,” quote-unquote, that I'm speaking to in the chat is an AI system or else needs immediate medical attention because there's something going on that needs assistance.Jeff: Yeah, they just don't understand.Corey: Right. And most big enterprise stories that I've heard so far that have come to light have been around the form of, “We get to fire most of our customer service staff,” an outcome that basically no one sensible wants. That is less compelling than a lot of the individualized consumer use cases. I love asking it, “Here's a blog post I wrote. Give me ten title options.” And I'll usually take one of them—one of them is usually not half bad and then I can modify it slightly.Jeff: And you'll change four words in it. Yeah.Corey: Yeah, exactly. That's a bit of a different use case.Jeff: It's been an interesting—even as we've all become familiar—or at least junior prompt engineers, right—is, your information is only going to be as good as you feed the AI system—the return is only going to be as good—so you're going to want to refine that kind of conversation. Now, we're not trying to end up replacing the content that gets produced or the writing of all kinds of pros, other than we do have a code generator that works inside of our environment called Capella iQ that talks to ChatGPT, but we try and put guardrails on that too, right, as always make sure that it's talking in terms of the context of Couchbase rather than, “Where's Taylor Swift this week,” which I don't want it to answer because I don't want to spend GPT money to answer that question for you.Corey: And it might not know the right answer, but it might very well spit out something that sounds plausible.Jeff: Exactly. But I think the kinds of applications that we're steering ourselves toward can be helped along by the Gen AI systems, but I don't expect all my customers are going to be writing automatic blog post generation kinds of applications. I think what we're ultimately trying to do is facilitate interactions in a way that we haven't dreamt of yet, right? One of them might be if I've opted into to loyalty programs, like my United account and my American Express account—Corey: That feels very targeted at my lifestyle as well, so please, continue.Jeff: Exactly, right? And so, what I really want the system to do is for Amex to reward me when I hit 1k status on United while I'm on the flight and you know, have the flight attendant come up and be like, “Hey, you did it. Either, here's a free upgrade from American Express”—that would be hyper-personalization because you booked your plane ticket with it, but they also happen to know or they cross-consumed information that I've opted into.Corey: I've seen them congratulate people for hitting a million miles flown mid-flight, but that's clearly something that they've been tracking and happens a heck of a lot less frequently. This is how you start scaling that experience.Jeff: Yes. But that happened because American Airlines was always watching because that was an American Airlines ad ages ago, right, but the same principle holds true. But I think there's going to be a lot more of these: how much information am I actually allowing to be shared amongst the, call it loyalty programs, but the data sources that I've opted into. And my God, there's hundreds of them that I've personally opted into, whether I like it or not because everybody needs my email address, kind of like what you were describing earlier.Corey: A point that I have that I think agrees largely with your point is that few things to me are more frustrating than what I'm signing up, for example, oh, I don't know, an AWS even—gee, I can't imagine there's anything like that going on this week—and I have to fill out an entire form that always asked me the same questions: how big my company is, whether we have multiple workloads on, what industry we're in. And no matter what I put into that, first, it never remembers me for the next time, which is frustrating in its own right, but two, no matter what I put in to fill that thing out, the email I get does not change as a result. At one point, I said, all right—I'm picking randomly—“I am a venture capitalist based in Sweden,” and I got nothing that is differentiated from the other normal stuff I get tied to my account because I use a special email address for those things, sometimes just to see what happens. And no, if you're going to make me jump through the hoops to give you the data, at least use it to make my experience better. It feels like I'm asking for the moon here, but I shouldn't be.Jeff: Yes. [we need 00:16:19] to make your experience better and say, you know, “Here's four companies in Malmo that you ought to be talking to. And they happen to be here at the AWS event and you can go find them because their booth is here, here, and here.” That kind of immediate responsiveness could be facilitated, and to our point, ought to be facilitated. It's exactly like that kind of thing is, use the data in real-time.I was talking to somebody else today that was discussing that most data, right, becomes stale and unvaluable, like, 50% of the data, its value goes to zero after about a day. And some of it is stale after about an hour. So, if you can end up closing that responsiveness gap that we were describing—and this is kind of what this columnar service inside of Capella is going to be like—is react in real-time with real-time calculation and real-time look-up and real-time—find out how you might apply that new piece of information right now and then give it back to the consumer or the user right now.Corey: So, Couchbase takes a few different forms. I should probably, at least for those who are not steeped in the world of exotic forms of database, I always like making these conversations more accessible to folks who are not necessarily up to speed. Personally, I tend to misuse anything as a database, if I can hold it just the wrong way.Jeff: The wrong way. I've caught that about you.Corey: Yeah, it's—everything is a database if you hold it wrong. But you folks have a few different options: you have a self-managed commercial offering; you're an open-source project, so I can go ahead and run it on my own infrastructure however I want; and you have Capella, which is Couchbase as a service. And all of those are useful and have their points, and I'm sure I'm missing at least one or two along the way. But do you find that the columnar use case is going to disproportionately benefit folks using Capella in ways that the self-hosted version would not be as useful for, or is this functionality already available in other expressions of Couchbase?Jeff: It's not already available in other expressions, although there is analytic functionality in the self-managed version of Couchbase. But it's, as I've mentioned I think earlier, it's just not as scalable or as really real-time as far as we're thinking. So, it's going to—yes, it's going to benefit the database as a service deployments of Couchbase available on your favorite three clouds, and still interoperable with environments that you might self-manage and self-host. So, there could be even use cases where our development team or your development team builds in AWS using the cloud-oriented features, but is still ultimately deploying and hosting and managing a self-managed environment. You could still do all of that. So, there's still a great interplay and interoperability amongst our different deployment options.But the fun part, I think, about this is not only is it going to help the Capella user, there's a lot of other things inside Couchbase that help address the developers' penchant for trading zero-cost for degrees of complexity that you're willing to accept because you want everything to be free and open-source. And Couchbase is my fifth open-source company in my background, so I'm well, well versed in the nuances of what open-source developers are seeking. But what makes Couchbase—you know, its origin story really cool too, though, is it's the peanut butter and chocolate marriage of memcached and the people behind that and membase and CouchDB from [Couch One 00:19:54]. So, I can't think of that many—maybe Red Hat—project and companies that formed up by merging two complementary open-source projects. So, we took the scale and—Corey: You have OpenTelemetry, I think, that did that once, but that—you see occasional mergers, but it's very far from common.Jeff: But it's very, very infrequent. But what that made the Couchbase people end up doing is make a platform that will scale, make a data design that you can auto partition anywhere, anytime, and then build independently scalable services on top of that, one for SQL++, the query language. Anyone who knows SQL will be able to write something in Couchbase immediately. And I've got this AI Automator, iQ, that makes it even easier; you just say, “Write me a SQL++ query that does this,” and it'll do that. But then we added full-text search, we added eventing so you can stream data, we added the analytics capability originally and now we're enhancing it, and use JSON as our kind of universal data format so that we can trade data with applications really easily.So, it's a cool design to start with, and then in the cloud, we're steering towards things like making your entry point and using our database as a service—Capella—really, really, really inexpensive so that you get that same robustness of functionality, as well as the easy cost of entry that today's developers want. And it's my analyst friends that keep telling me the cloud is where the markets going to go, so we're steering ourselves towards that hockey puck location.Corey: I frequently remark that the role of the DBA might not be vanishing, but it's definitely changing, especially since the last time I counted, if you hold them and use as directed, AWS has something on the order of 14 distinct managed database offerings. Some are general purpose, some are purpose-built, and if this trend keeps up, in a decade, the DBA role is going to be determining which of its 40 databases is going to be the right fit for a given workload. That seems to be the counter-approach to a general-purpose database that works across the board. Clearly you folks have opinions on this. Where do you land?Jeff: Oh, so absolutely. There's the product that is a suite of capabilities—or that are individual capabilities—and then there's ones that are, in my case, kind of multi-model and do lots of things at once. I think historically, you'll recognize—because this is—let's pick on your phone—the same holds true for, you know, your phone used to be a watch, used to be a Palm Pilot, used to be a StarTAC telephone, and your calendar application, your day planner all at the same time. Well, it's not anymore. Technology converges upon itself; it's kind of a historical truism.And the database technologies are going to end up doing that—or continue to do that, even right now. So, that notion that—it's a ten-year-old notion of use a purpose-built database for that particular workload. Maybe sometimes in extreme cases that is the appropriate thing, but in more cases than not right now, if you need transactions when you need them, that's fine, I can do that. You don't necessarily need Aurora or RDS or Postgres to do that. But when you need search and geolocation, I support that too, so you don't need Elastic. And then when you need caching and everything, you don't need ElastiCache; it's all built-in.So, that multi-model notion of operate on the same pool of data, it's a lot less complex for your developers, they can code faster and better and more cleanly, debugging is significantly easier. As I mentioned, SQL++ is our language. It's basically SQL syntax for JSON. We're a reference implementation of this language, along with—[AsteriskDB 00:23:42] is one of them, and actually, the original author of that language also wrote DynamoDB's PartiQL.So, it's a common language that you wouldn't necessarily imagine, but the ease of entry in all of this, I think, is still going to be a driving goal for people. The old people like me and you are running around worrying about, am I going to get a particular, really specific feature out of the full-text search environment, or the other one that I pick on now is, “Am I going to need a vector database, too?” And the answer to me is no, right? There's going—you know, the database vendors like ourselves—and like Mongo has announced and a whole bunch of other NoSQL vendors—we're going to support that. It's going to be just another mode, and you get better bang for your buck when you've got more modes than a single one at a time.Corey: The consensus opinion that's emerging is very much across the board that vector is a feature, not a database type.Jeff: Not a category, yeah. Me too. And yeah, we're well on board with that notion, as well. And then like I said earlier, the JSON as a vehicle to give you all of that versatility is great, right? You can have vector information inside a JSON document, you can have time series information in the document, you could have graph node locations and ID numbers in a JSON array, so you don't need index-free adjacency or some of the other cleverness that some of my former employers have done. It really is all converging upon itself and hopefully everybody starts to realize that you can clean up and simplify your architectures as you look ahead, so that you do—if you're going to build AI-powered applications—feed it clean data, right? You're going to be better off.Corey: So, this episode is being recorded in advance, thankfully, but it's going to release the first day of re:Invent. What are you folks doing at the show, for those who are either there and for some reason, listening to a podcast rather than going to getting marketed to by a variety of different pitches that all mention AI or might even be watching from home and trying to figure out what to make of it?Jeff: Right. So, of course we have a booth, and my notes don't have in front of me what our booth number is, but you'll see it on the signs in the airport. So, we'll have a presence there, we'll have an executive briefing room available, so we can schedule time with anyone who wants to come talk to us. We'll be showing not only the capabilities that we're offering here, we'll show off Capella iQ, our coding assistant, okay—so yeah, we're on the AI hype band—but we'll also be showing things like our mobile sync capability where my phone and your phone can synchronize data amongst themselves without having to actually have a live connection to the internet. So, long as we're on the same network locally within the Venetian's network, we have an app that we have people download from the Apple Store and then it's a color synchronization app or picture synchronization app.So, you tap it, and it changes on my screen and I tap it and it changes on your screen, and we'll have, I don't know, as many people who are around standing there, synchronizing, what, maybe 50 phones at a time. It's actually a pretty slick demonstration of why you might want a database that's not only in the cloud but operates around the cloud, operates mobile-ly, operates—you know, can connect and disconnect to your networks. It's a pretty neat scenario. So, we'll be showing a bunch of cool technical stuff as well as talking about the things that we're discussing right now.Corey: I will say you're putting an awful lot of faith in conductivity working at re:Invent, be it WiFi or the cellular network. I know that both of those have bitten me in various ways over the years. But I wish you the best on it. I think it's going to be an interesting show based upon everything I've heard in the run-up to it. I'm just glad it's here.Jeff: Now, this is the cool part about what I'm talking about, though. The cool part about what I'm talking about is we can set up our own wireless network in our booth, and we still—you'd have to go to the app store to get this application, but once there, I can have you switch over to my local network and play around on it and I can sync the stuff right there and have confidence that in my local network that's in my booth, the system's working. I think that's going to be ultimately our design there because oh my gosh, yes, I have a hundred stories about connectivity and someone blowing a demo because they're yanking on a cable behind the pulpit, right?Corey: I always build in a—and assuming there's no connectivity, how can I fake my demos, just because it's—I've only had to do it once, but you wind up planning in advance when you start doing a talk to a large enough or influential enough audience where you want things to go right.Jeff: There's a delightful acceptance right now of recorded videos and demonstrations that people sort of accept that way because of exactly all this. And I'm sure we'll be showing that in our booth there too.Corey: Given the non-deterministic nature of generative AI, I'm sort of surprised whenever someone hasn't mocked the demo in advance, just because yeah, gives the right answer in the rehearsal, but every once in a while, it gets completely unglued.Jeff: Yes, and we see it pretty regularly. So, the emergence of clever and good prompt engineering is going to be a big skill for people. And hopefully, you know, everybody's going to figure out how to pass it along to their peers.Corey: Excellent. We'll put links to all this in the show notes, and I look forward to seeing how well this works out for you. Best of luck at the show and thanks for speaking with me. I appreciate it.Jeff: Yeah, Corey. We appreciate the support, and I think the show is going to be very strong for us as well. And thanks for having me here.Corey: Always a pleasure. Jeff Morris, VP of Product and Solutions Marketing at Couchbase. This episode has been brought to us by our friends at Couchbase. And I'm Cloud Economist Corey Quinn. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an angry comment, but if you want to remain happy, I wouldn't ask that podcast platform what database they're using. No one likes the answer to those things.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

What are you using AI for? According to CMO AI advisor Nicole Leffer, that's the wrong question to ask. Instead, CMOs should be asking, “What are we not using AI for, and how can we?”   Nicole is CMO Huddles' favorite GenAI genie. She returned to a recent CMO Huddles Bonus Huddle to share a wide range of use cases for GenAI, from copywriting to image generation, from landing page analysis to strategic insights.   This is an episode dedicated to optimizing your team's time and your strategic initiatives. Don't miss it!  For full show notes and transcripts, visit https://renegade.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

This week on AZAAZ we answered: ❓The Questions❓

#LIVE #WAGO #PARTNERSHIPwww.iotusecase.comSpecial Podcast Folge @ SPS 2023! Die 116. Folge des IoT Use Case Podcasts wurde live auf der SPS-Messe in Nürnberg aufgenommen. Ing. Madeleine Mickeleit begrüßt dabei drei WAGO-Partner on Stage: Tobias Mühlnikel, CTO und CPO der Edge Business Unit bei Portainer.ioChristopher Anhalt, Vice President Product Marketing bei Softing Industrial Automation GmbHJürgen Kasperek, Leiter der Business Unit Nürnberg bei Actemium (ein Teil des VINCI Energies-Konzerns)Zusammenfassung der Podcastfolge Die Episode handelt von der Bedeutung der Integration und Skalierbarkeit von IoT-Lösungen in verschiedenen Industriezweigen, insbesondere in der Fertigungs- und Automobilindustrie. Ein Schwerpunkt liegt auf der Notwendigkeit, sich nicht in einem Ökosystem zu verfangen, sondern Unabhängigkeit und Flexibilität bei der Auswahl von Technologieanbietern und Lösungen zu bewahren. Die WAGO-Partner Portainer, Actemium und Softing beleuchteten dabei, wie Kooperationen dazu beitragen, umfassende und spezialisierte Lösungen für spezifische Branchenanforderungen zu entwickeln, um flexible und skalierbare Lösungen zu implementieren, die eine effiziente Produktionssteuerung und Kostenreduktion ermöglichen:Tobias Mühlnikel spricht über seine Arbeit bei Portainer, einer Plattform für das Management von Softwarecontainern, die in der Automatisierungstechnik immer wichtiger wird. Er hebt die Bedeutung von ganzheitlichen, dynamischen Lösungen hervor und unterstreicht, wie Portainer dabei hilft, Daten von verschiedenen Quellen zu erschließen und verfügbar zu machen.Christopher Anhalt redet über die industrielle Kommunikation und erläutert, wie Softing mit der Entwicklung und Vermarktung von Standardprodukten für IT/OT-Integration dazu beiträgt, Daten aus Steuerungen, Geräten, Sensoren und Aktoren für die IT-Welt bereitzustellen.Jürgen von Actemium, einem Teil des VINCI-Konzerns, stellt vor, wie sein Unternehmen innovative Lösungen in der Industrie für Elektrotechnik, Mess-, Steuer- und Regelungstechnik sowie Automatisierungstechnik anbietet. Actemium sieht sich als strategischer Partner für Kunden in Themen wie Energietechnik, Automatisierung und Digitalisierung in der Produktion.Die drei Gäste sprechen über Use Cases in den Bereichen Smart Manufacturing, Gerätemanagement- und verwaltung, Datenintegration im Automotive-Bereich, Containerbasierte Softwareentwicklung. Beispielsweise geht es um die Akquise von Daten von Maschinen mithilfe von Produkten wie denen von Softing, die als Container geliefert werden. Diese können auf Hardware wie der von WAGO laufen und dann weiter in die Cloud oder zu MES/SCADA-Systemen transferiert werden. Die Verwaltung dieser Software-Komponenten, um sie auf dem aktuellen Stand zu halten und das initiale Ausrollen, ist ein zentraler Aspekt dieses Use Cases.Die 116. IoT Use Case Podcastfolge stellt die Bedeutung starker Partnerschaften und Netzwerke in der IoT-Branche am Beispiel von WAGO heraus. ---Relevante Folgenlinks:Tobias (https://www.linkedin.com/in/tobiasmue/)Christopher (https://www.linkedin.com/in/christopher-anhalt-ab50b1176/)Jürgen (https://www.linkedin.com/in/j%C3%BCrgen-kasperek-1728661b2/)Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Jetzt IoT Use Case auf LinkedIn folgen

Full disclosure: This episode was recorded before our break. In the normal world, not much would have changed in 5 months. But in the new reality of Generative AI- changes have occurred since we recorded this episode. They do not make the research discussed any less valuable, because the trends were identified- but the execution of them is ever evolving.More full disclosure: There are two sets of show notes presented below, one created by me and one created by Chat GPT. I have no shame in using GPT to help me with the show notes. It is super interesting to show what I came up with vs. what it came up with.My notes:In this episode we welcome Stacia Sherman Garr co-founder of Red Thread Research.In our discussion Stacia and I accomplish two things:We share our perspectives on doing quality vendor/market research, evaluation and classification and doing it wellStacia relays the results of her research into the current state of the people analytics software technology market and the vendors who define it.Our discussion begins with level setting to define exactly what people analytics software technology is, and is not. This includes the reality that this technology is not really focused directly on talent acquisition. Stacia defines people analytics technology as follows:"People analytics is the collection, understanding, and eventually application of people data. It's designed to improve what's happening with the people themselves and to improve business outcomes. So it's really all data that has to do something with people and with an intention of making people's lives better and making the business better"​​.Our discussion into research delves into how to do good research into a specific market, looking both at the vendors themselves and the macro trends. We acknowledge how difficult it is, but also how important it is to those who provide and consume the technology.Finally, Stacia reveals the major trends in the market and the impact of Covid and advances in generative have had and how they are shaping the future of the market. Covid changed things by introducing mass scale remote work and the increased need for monitoring analytics. AI has created so much change so fast, that Stacia has created an entirely new study to track it.Trends identified include:The size of the people analytics software market has grown rapidly- but is leveling offPrices are droppingThere is a push to more of a SaaS model where implementation and services are handled by 3rd party consulting firms. There is generally lower satisfaction amongst users of the products. Part of this is because the use cases have expanded but the products were not prepared for this.AI demands entirely new levels of supportMulti-source people analytics software platforms are the biggest new trend. For instance surveillance and wearables are becoming more in focus- and these can create major trust issues amongst employees.Here is what GPT came up with when I fed it the transcript of our interview:Episode Title: "Navigating the Evolving Landscape of People Analytics Technology"Host: Dr. Charles HandlerGuest: Stacia Garr, Co-founder of Red Thread ResearchEpisode Overview:In this enlightening episode of "Science 4-Hire," host Dr. Charles Handler engages in a thought-provoking discussion with Stacia Garr, co-founder of Red Thread Research. They delve deep into the realm of People Analytics Software, shedding light on its current trends, ethical considerations, and its impact on the HR industry.Key Discussion Points:Introduction to People Analytics: Stacia Garr clarifies the term "people analytics" and its significance over "talent analytics," emphasizing its inclusive and comprehensive nature.The Evolving Market of People Analytics Software: Exploration of how the field has expanded and adapted, especially in response to the COVID-19 pandemic and the shift towards remote work.Vendor Landscape and Research: Discussion on the various categories of vendors in the people analytics space, the growth of the market, and insights from Red Thread Research's latest study on people analytics technology.Ethical Considerations and AI Integration: An examination of the ethical aspects of people analytics, the role of AI, and how these technologies are shaping organizational strategies.Trends and Future Projections: Insight into current trends in the market, including the growing demand for people analytics solutions across different organizational roles and the importance of ethical considerations in technology deployment.Practical Applications and Benefits: Conversations on how organizations can effectively leverage people analytics for improved business outcomes and employee experiences.Call to Action:Listeners are encouraged to explore more about the cutting-edge research and insights offered by Red Thread Research. For those interested in deepening their understanding of people analytics and its practical applications in HR, visiting Red Thread Research's website is highly recommended.This structure provides a comprehensive overview of the episode, highlighting key points and encouraging listeners to engage further with the topic..Youcan you focus on including more of the results of her research as relayed in our discussion?ChatGPTBased on the transcript of the "Science 4-Hire" podcast featuring Stacia Garr, here are the show notes focusing on the results of her research as discussed in the episode:Show Notes for "Science 4-Hire: The Future of People Analytics - Insights from Stacia Garr's Research"Episode Title: "Exploring the Evolving World of People Analytics Software with Stacia Garr"Host: Dr. Charles HandlerGuest: Stacia Garr, Co-founder of Red Thread ResearchEpisode Overview:In this episode, Dr. Charles Handler engages with Stacia Garr to explore the latest trends and insights in people analytics Software. The discussion is centered around Garr's comprehensive research in this field, particularly her study which has evolved since its inception in 2019.Key Insights from Stacia Garr's Research:People Analytics Technology Study: Garr's research, now in its fourth iteration, initially began in 2019 and offers a unique perspective on the changes and developments in people analytics technology since the onset of the COVID-19 pandemic​​.Target Audience and Market Growth: The study targets both people analytics practitioners and HR professionals. A significant growth in the vendor landscape was noted, expanding from about 50 in 2019 to 150 vendors, reflecting a rapidly evolving market​​.Market Trends and Customer Satisfaction: The research revealed that the fastest-growing market segment is the 'employee experience and voice' category, driven largely by the shift to remote work during the pandemic. However, overall satisfaction with people analytics technology has declined, with multi source analysis platforms receiving the highest Net Promoter Scores among customers​​.Shift in Use Cases for People Analytics Tech: A notable shift in the use cases for people analytics technology has been observed, extending beyond HR practitioners to include leaders, managers, and employees across organizations. This broader application is necessary for informed decision-making around talent decisions​​.Impact of Vendor Focus on User Satisfaction: Vendors that focused on making their technology accessible to managers and employees tended to have higher customer satisfaction scores, as indicated by Net Promoter Scores​​.The Central Message of Data Accessibility: Garr emphasizes that data about people should be made accessible to individuals across an organization, not just confined to the HR function. This approach can enhance both individual lives and overall business outcomes​​.AI and Ethical Considerations: The future of people analytics technology is closely tied to the development and integration of AI. Garr's ongoing research is examining AI sophistication among vendors and its ethical implications, highlighting the need for balance between technological advancements and ethical considerations​​.Invitation to Engage with Red Thread Research: For those interested in cutting-edge developments in organizational behavior, people, talent, and data, Garr invites listeners to explore Red Thread Research. The platform offers a community for interaction and access to high-quality research​​.Call to Action:Listeners are encouraged to delve deeper into these insights and join the conversation about the future of people analytics by visiting Red Thread Research's website and becoming part of their membership community.

Jasmin Rapp ist Teamlead IT Marketing & Change Management bei HUGO BOSS. Im Podcast reden wir über das Transformationsprojekt IT´S/4 HUGO BOSS und welche Rolle Change Management in diesem Programm spielt. Am mehrjährigen Programm arbeiten über 300 Menschen in verschiedenen Streams mit und mit der Einführung des S/4 als digital Core sind neben dem ersten Golive in den nordischen Ländern viele weitere Rollouts bis 2027 geplant. Jasmin berichtet darüber, wie sie sich und ihr Team im Bereich Change fit gemacht haben, wie sie beim Vorgehen einen ganzheitlichen Ansatz nach dem ADKAR Modell nutzen, und was die ersten Lernerfahrungen nach dem ersten Rollout sind. Wir sprechen auch über das Skill NFT Konzept, welches speziell für Enduser Trainings entwickelt wurde und auf weitere Use Cases angewandt wird. Jasmin teilt auch ihre Sicht auf Adoption und wie ein Change Ambassador Netzwerk dabei helfen kann - Tips und Empfehlungen und mehr wie immer im EducationNewscast Podcast.

FFB Episode 149 - Quantum Technology Near - Term Use Cases – Catapulting AI by Fiber for Breakfast with Gary Bolton

#BrainComputerInterface #Neuroscience #StrokeRehabilitation #MentalHealthInnovation #gtec #Neurofeedback #DrChristophGuger #JayGunkelman #DrMariSwingle #EEG #Neurotherapy #BrainHealth #NeuroscienceResearch #Biofeedback #MentalWellness #NeurofeedbackTraining #BrainScience #NeurotechInnovation #DigitalHealth #CognitiveScience #NeurologicalRehabilitation #BrainwaveAnalysis Join us in a riveting episode of the NeuroNoodle Neurofeedback Network, featuring Dr. Christoph Guger, co-founder of g.tec medical engineering GmbH. Discover the pioneering world of brain-computer interfaces (BCI) and their transformative impact on neuroscience and neurorehabilitation.

Euer Ziel? Conversions. Eure Werkzeuge? Commerce und herausragender Content. So lautet die Philosophie von Adobe für euren Weg zur DXP.In Teil 2 unserer Podcast-Reihe verraten euch Monika Schütz und Christian Vogel von Adobe, wie ihr euch die Tools zunutze macht und was eine Adobe-DXP alles für euch im Gepäck hat.Im Gespräch mit Moderatorin Stephi erklären die beiden die drei entscheidenden Merkmale einer Adobe-DXP und zeigen, wir ihr damit eure Conversion-Rates positiv beeinflusst. Zahlreiche Praxisbeispiele und Use Cases inklusive.Erfahrt außerdem, wie Adobe die Demokratisierung seiner Tools vorantreibt. Tools für alle und von allen leicht bedienbar. Mehr spannende Informationen rund ums Thema DXP findet ihr im kostenfreien Whitepaper »Digital-Experience-Plattformen« Jetzt downloaden: https://s.dotsource.de/faZur DXP-Podcast-Reihe: Hier finden wir gemeinsam heraus, ob und wann sich eine Digital Experience Platform (DXP) für euch lohnt.

#MITTELSTAND #HYGIENE #WASSERwww.iotusecase.comIn der 115. Folge des IoT Use Case Podcasts dreht sich alles um innovative Wassertechnologien und die Herausforderungen kleiner Unternehmen bei der Digitalisierung. Die Episode bietet einen tiefen Einblick in die Welt der IoT-gestützten Wasserbehandlung und Hygienekonzepte. Die Gäste der Folge sind Dr. Aline Defranceski, Geschäftsführerin von Data Coffee GmbH, und Matthias Guth, Geschäftsführer von INNOWATECH.Folge 115 auf einen Blick (und Klick):[13:04] Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus[22:41] Lösungen, Angebote und Services – Ein Blick auf die eingesetzten TechnologienZusammenfassung der PodcastfolgeDie Episode beleuchtet, wie Data Coffee GmbH und INNOWATECH zusammenarbeiten, um Digitale Services im Maschinenbau zu realisieren und wie Maschinendaten dem Maschinenbauer selbst zur Verfügung gestellt werden können. Data Coffee GmbH zeichnet sich durch den Data Coffee Connector aus, eine Software, die die Erfassung von Daten aus Produktionsanlagen und Sensorsystemen vereinfacht und standardisiert. INNOWATECH hingegen ist bekannt für seine Anolyte-Technologie und setzt neue Maßstäbe in der Herstellung von Desinfektionsmitteln ohne Gefahrstoffe.Im Podcast werden zwei spezifische Use Cases diskutiert:Digitaler Service im Maschinenbau: Dieser Use Case konzentriert sich auf Wartungsverträge und direkten Kundenservice. Produktentwicklung: Hier wird die Produktentwicklung thematisiert, insbesondere wie Maschinendaten dem Maschinenbauer zur Verfügung gestellt werden können. Matthias Guth führt aus, dass INNOWATECH seit über 20 Jahren im Bereich der Wasserbehandlung tätig ist und alles aus einer Hand anbietet – von der Entwicklung über die Produktion bis hin zum Vertrieb und der Wartung ihrer Anlagensysteme. Ihre Kunden reichen von Wasserversorgern und Wasserwerken bis hin zur Lebensmittelindustrie und Brauereien.Ein zentrales Thema der Folge ist die Digitalisierung. INNOWATECH nutzt digitale Zwillinge im ERP-System für das Aftersales- und Servicegeschäft und bietet Kunden Echtzeitdaten über mobile Endgeräte an, was ihnen Sicherheit in ihren Prozessen gibt und eine optimierte Koordination von Service- und Wartungsaufgaben ermöglicht.Aline Defranceski betont den Trend zu einfacheren Lösungen und einer höheren Auswertungsdichte im Datenstrom. Sie spricht über die Bedeutung von Automatismen und die Bereitstellung von Servicedaten in Echtzeit, um den Kunden mehr Kontrolle und Verständnis über ihre Anlagen zu geben.---Relevante Folgenlinks:Aline (https://www.linkedin.com/in/dr-aline-defranceski-a8a484187/)Matthias (https://www.linkedin.com/in/matthias-guth-360a55153/)Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Jetzt IoT Use Case auf LinkedIn folgen

Das sich Search Engine Optimization (SEO) im B2C (Business to Customer) Vertrieb lohnt wissen die meisten Leute, aber lohnt es sich auch für B2B Unternehmen? Diese Frage wird uns Mandy Fröhlke (digit.ly GmbH) im Gespräch mit Mario Jung (OMT GmbH) beantworten. Mandy bringt uns einen spannende Use Case und viele hilfreiche Tipps, die Du benutzen kannst, um die Entscheidungstreffer zu überzeugen, damit das Unternehmen besser auf den Search Engine Results Pages (SERPS) gefunden werden kann, die CTR sich erhöht und die Conversions natürlich auch steigern. Den gesamten Vortrag kannst Du auch über die Shownotes kaufen und anschauen.

Welcome to Hempaware Radio, where we explore the world of hemp innovation and entrepreneurship. In today's episode, our host Tyler Hemp speaks with Derek Wolf, the co-founder of Hemp and Block, a company dedicated to producing hemp-based construction materials. Derek shares his journey and the inspiration behind creating hempcrete blocks, emphasizing the sustainability and health benefits of integrating hemp into construction.They delve into the practical applications, limitations, and potential future of hempcrete, tackling misconceptions and the path to industry acceptance.With insights into the manufacturing process, building regulations, and the vision for the future, this episode promises to inspire and educate on the transformative potential of hemp in the construction industry.So, join us as we venture into the world of hemp and building with Derek Wolf on Hempaware Radio!Guest BioDerek Wolf's passion for construction and craftsmanship was ingrained in him from a young age, as he watched his father and grandfather work as tradesmen and craftsmen. His family's immigrant background played a role in shaping his work ethic and passion for the industry. From a young age, Derek was drawn to the construction trade, often seen helping his father with various projects. This early exposure led to his development as a skilled and talented craftsman in the field of construction.Primary Topic: Introduction to Hemp and Block- Derek Wolf introduces Hemp and Block, a company creating hemp-based construction materials- Focus on the production of hempcrete blocks in Colorado since 2018- Derek's background in construction and manufacturing leading to the creation of Hemp and BlockSub-Topic: Benefits of Hempcrete Blocks- Discussion on health, environmental, breathability, anti-mold properties, and acoustic benefits- Adaptability to different builder preferences and convenience in cuttingSub-Topic: Drawbacks of Conventional Construction Methods- Use of non-breathable materials and toxic substances- Sustainability and carbon footprint considerationsPrimary Topic: Philosophical Perspective on Hemp and Life- Derek shares a message of hope, belief, perseverance, and dedication- Host Tyler expresses admiration for Derek and his motivational messagePrimary Topic: Thickness and Use Cases of Hempcrete Blocks- Manufacturing of 8 and 12-inch thick walls for insulation requirements- Cost comparison and safety benefitsPrimary Topic: Approval and Expansion of Hempcrete Applications- Designation for 1 to 2 story buildings in residential building code- Potential use in larger structures and commercial buildings by 2025- Limitations and expectations when using hemp blocks in building projectsPrimary Topic: Contact and Reachability- Contact information for reaching out to Derek for inquiries- Discussion about the best way to reach Hemp and BlockPrimary Topic: Shifting to American Factories and Automation- Development of precast hemp block with benefits in consistency, automation in production, and ease of use- Addressing misconceptions about hempcrete and challenges related to building approvals

"Daten verbrauchen sich nicht. Wenn ich Daten nutze, sind sie danach wertvoller als vorher." Wie können Unternehmen Daten sinnvoll und gewinnbringend einsetzen? Spielt der menschliche Faktor hier noch eine Rolle? Oder sollten wir die Datenerhebung und -analyse in Zukunft einer künstlichen Intelligenz überlassen? Hierüber spreche ich heute mit Prof. Dr. Eva Anderl von der Hochschule München, wo sie an der Schnittstelle von Digitalisierung, Marketing und Data Science forscht und lehrt. Sie erklärt uns, welchen Mehrwert Daten liefern können: Wir können Dinge messbar machen, für die wir zuvor nur ein Bauchgefühl hatten; wir können Zusammenhänge erkennen; wir können damit sogar Prognosen erstellen und Handlungsempfehlungen geben, und schlussendlich können wir diese auch automatisieren. Darin steckt gewaltiges Potenzial für Unternehmen und innovative Geschäftsmodelle! Eva Anderl geht für uns darauf ein, wie und durch welche Faktoren eine unternehmenseigene Datenstrategie erfolgreich werden kann. Du wirst erfahren, wie unterschiedlichste Use Cases eine erfolgreiche Datenstrategie stützen können und warum künstliche Intelligenz bei Weitem nicht ausreicht, um einen Datensatz nutzbar zu machen, insbesondere im Hinblick auf eingebaute Biases. Denn: Selbstverständlich müssen wir ethische Fragestellungen insbesondere beim Umgang mit Daten immer mitdenken. RESSOURCEN / LINKS: [Eva Anderl, Hochschule München](https://www.hm.edu/kontakte_de/contact_detail_37520.de.html) [Eva Anderl bei LinkedIn](https://de.linkedin.com/in/evaanderl) [Mein LinkedIn Profil für wöchentliche Posts zu Agilität & Innovation](https://www.linkedin.com/in/nadinzimmermann/) [Hier buchst Du deinen Termin zum Kompetenz-Check-up](https://calendly.com/newecoaching/check-up-machen-sie-sich-fit-fur-die-zukunft) DIR GEFÄLLT WAS DU HÖRST? Dann hinterlasse mir bitte eine 5-Sterne-Bewertung auf Apple Podcasts, eine Rezension und abonniere den Podcast. Vielen Dank für deine Unterstützung! Hier bei Apple Podcasts bewerten und abonnieren: https://podcasts.apple.com/de/podcast/femture-wie-frauen-in-die-zukunft-f%C3%BChren-female-leadership/id1571909871 Dieser Podcast wird produziert von der Podcast-Agentur Podcastliebe. Mehr dazu: https://podcastliebe.net

Today's guest is Marco Argenti, Chief Information Officer at Goldman Sachs. Before working with Goldman Sachs, Marco served as SVP of Developer Services at Nokia, then Vice President of Technology of Amazon Web Services (AWS) in 2013, where he started and ran several AWS businesses, including mobile, serverless computing, Internet of Things, and augmented and virtual reality. Following his appearance on our sister podcast, Marco surveys emerging use cases in new generative AI capabilities for financial services. He offers his vision for what the industry will look like when these technologies become commonplace. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

// Merlin - Crypto Tracking App Waitlist https://merlincrypto.com/?utm_campaign=Pre-Launch&utm_source=GMC&utm_medium=Podcast // Linqto https://www.linqto.com/?cjevent=b65ecbbec46011ec81b91b3a0a1c0e10 //// T H E 3 T W A R R I O R A C A D E M Y // Join the 3T Warrior Academy: https://3twarrior.com/warrioracademy?affiliate_id=3827481 // Join our Free Discord: https://3twarrior.com/discord49541345 //// F O L L O W T H E T E A M // Official Good Morning Crypto https://linktr.ee/3tGMCrypto Twitter: https://twitter.com/3tGMCrypto // Abs  Instagram: https://www.instagram.com/Abs3t/ // Mario | Node Defender https://linktr.ee/nodedefender Twitter: https://twitter.com/NodeDefender Youtube: https://youtube.com/channel/UCnld-Xvam562HFQDOIBwymw Instagram: https://www.instagram.com/NodeDefender/ // Johnny Krypto https://linktr.ee/johnnykrypto Twitter: https://twitter.com/JohnnyKrypto00 YouTube: https://www.youtube.com/channel/UCm-qyQNf1rnUaw6u20mKCVw // Gonzo Twitter: https://twitter.com/gonzo_3t Instagram: https://www.instagram.com/gonzo_3t/ // Selman Twitter: https://twitter.com/SelmanGee YouTube: https://www.youtube.com/c/GeeInvesting // NFTtones: https://linktr.ee/NFTtones // Billy Twitter: https://twitter.com/WadkinsBilly TikTok: @Homeless2Humbled Instagram: https://www.instagram.com/homeless2humbled_ //// Disclaimer: All of our videos are strictly personal opinions. Please make sure to do your own research. Never take one person's opinion for financial guidance. There are multiple strategies and not all strategies fit all people. Our videos ARE NOT financial advice. We are not financial advisers & this is not financial advice. #Crypto #CryptoNews #Bitcoin #BTC #ethereum #eth #ripple #xrpe #chainlink #quant #polygon #cardano Learn more about your ad choices. Visit megaphone.fm/adchoices

Beim größten deutschen Recyclingunternehmen denkt man Out of the Box, um KI wortwörtlich auf die Straße zu bringen. Z.B. werden die Müllfahrzeuge mit Kameras ausgestattet, um so wertvolle Daten für verschiedenste Use Cases zu sammeln. Mehr dazu hier im Gespräch mit Johannes Schön, dem Geschäftsführer von REMONDIS Digital. ------------ Weiterführende Informationen: ► Wir danken unserem Partner, der Public Cloud Group: https://pcg.io/de/ ► REMONDIS Digital: https://www.remondis-digital.com/ ► Linkedin Johannes: https://www.linkedin.com/in/johannes-sch%C3%B6n-433485184/ ► Linkedin Bernard: https://www.linkedin.com/in/bernardsonnenschein/ ► Linkedin Marcel: https://www.linkedin.com/in/marcel-windau-7841b3195/ ► Wir freuen uns auf dich auf der data:unplugged: https://www.data-unplugged.de/

If you think you know ChatGPT, think again. There's been recent leaks and new features that will change the way we use ChatGPT. We're uncovering the latest features, upcoming updates, and insightful predictions about how ChatGPT will shape the way we work, learn, and interact in the future.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:[00:02:27] Overview of new unofficial features in ChatGPT[00:05:25] History of GPT technology[00:12:17] ChatGPT features coming soon[00:14:23] Preset knowledge cut off dates[00:19:06] Multimodal chat allows diverse input and output[00:23:16] All Tools mode expands ChatGPT capabilities[00:26:06] Future internet: Multimodal interaction with up-to-date information[00:29:37] Future of work: remote, hybrid, collaborativeTopics Covered in This Episode:1. Timeline of ChatGPT Development2. Features and Use Cases of ChatGPT3. Announcement of Future ChatGPT Updates4. Discussion on Remote Work and CollaborationKeywords:future of work, remote work, hybrid work, in-person work, collaboration, language models, ChatGPT, OpenAI, collaborative tool, Google Docs, competitiveness, market, affordability, developers, Developers Conference, prompt course, prompt polish course, specific mode, Browse with Bing, internet querying, advanced data analysis, modes and tools, image generation, knowledge cutoff, leaks, outdated knowledge, generative AI, ChatGPT, multimodality, artificial general intelligence (AGI), All Tools mode. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Global Product Management Talk is pleased to bring you the next episode of... Product Mastery Now with host Chad McAllister, PhD. The podcast is all about helping people involved in innovation and managing products become more successful, grow their careers, and STANDOUT from their peers. About the Episode:  Today we are talking about how to create and use customer use cases to guide product design.  Our guest is Dr. Lilac Muller, VP of Product Management at Kymeta Corporation. She oversees product strategy, definition, and launch activities for Kymeta's mobile satellite communications product line, which is making mobile broadband connectivity around the world ubiquitous.  Lilac has over 20 years of product development experience in the telecommunications, consumer electronics, and medical devices industries where she has led cradle-to-grave product development efforts, and she holds 19 US patents.

Feel Focused, Energetic and Rested Today, click the link belowhttps://www.c60evo.com/redpill78/Use coupon code REDPILL78 to get an extra 10% offPatty Greer & Chris Burres join me once more from C60 Evo to discuss some more exciting use cases for ESS60 including laboratory results which show incredible promise for Alzheimer'ss and more!Get your chlorine dioxide kitshttps://onenessdrops.comUse code rp78 for 15% discount

// Merlin - Crypto Tracking App Waitlist https://merlincrypto.com/?utm_campaign=Pre-Launch&utm_source=GMC&utm_medium=Podcast // Linqto https://www.linqto.com/?cjevent=b65ecbbec46011ec81b91b3a0a1c0e10 //// T H E 3 T W A R R I O R A C A D E M Y // Join the 3T Warrior Academy: https://3twarrior.com/warrioracademy?affiliate_id=3827481 // Join our Free Discord: https://3twarrior.com/discord49541345 //// F O L L O W T H E T E A M // Official Good Morning Crypto https://linktr.ee/3tGMCrypto Twitter: https://twitter.com/3tGMCrypto // Abs  Instagram: https://www.instagram.com/Abs3t/ // Mario | Node Defender https://linktr.ee/nodedefender Twitter: https://twitter.com/NodeDefender Youtube: https://youtube.com/channel/UCnld-Xvam562HFQDOIBwymw Instagram: https://www.instagram.com/NodeDefender/ // Johnny Krypto https://linktr.ee/johnnykrypto Twitter: https://twitter.com/JohnnyKrypto00 YouTube: https://www.youtube.com/channel/UCm-qyQNf1rnUaw6u20mKCVw // Gonzo Twitter: https://twitter.com/gonzo_3t Instagram: https://www.instagram.com/gonzo_3t/ // Selman Twitter: https://twitter.com/SelmanGee YouTube: https://www.youtube.com/c/GeeInvesting // NFTtones: https://linktr.ee/NFTtones // Billy Twitter: https://twitter.com/WadkinsBilly TikTok: @Homeless2Humbled Instagram: https://www.instagram.com/homeless2humbled_ //// Disclaimer: All of our videos are strictly personal opinions. Please make sure to do your own research. Never take one person's opinion for financial guidance. There are multiple strategies and not all strategies fit all people. Our videos ARE NOT financial advice. We are not financial advisers & this is not financial advice. #Crypto #CryptoNews #Bitcoin #BTC #ethereum #eth #ripple #xrpe #chainlink #quant #polygon #cardano Learn more about your ad choices. Visit megaphone.fm/adchoices

RECRUITER USE CASES FOR CHATGPT - PART 4   It's been nearly 6 months since we last ran Part 3 on Recruiter Use Cases for ChatGPT, and as you know by now, 6 months is a lifetime in the world of AI. What advances have happened in that time, how have recruiters taken advantage of the innovations, what practical use cases can see we illustrate to the audience?   We're bringing the best of the best again for this rapid fire on screen demo show where expert recruiters will share their amazing AI recipes,   We're with Alexandra Gyetvai, Talent Acquisition Consultant (The Source Code), Alexander Chukovski, AI Advisor (Jobiqo), Dov Zavadskis, Founder (BeFriend AI) & Johannes Sundlo, Senior Human Resource Manager (Avalanche Studios) and friends!       Ep229 is sponsored by our buddies KANDIDATE     Would You Like 20 Top Candidates Added to Your Hardest-to-fill Talent Pipeline, For FREE?   ✅ 100% FREE trial to work with one of our world-class Sourcers ✅ 20 superstar candidates added to your talent pipeline ✅ We will work on ANY role, no matter how challenging ✅ Particularly effective for Engineering and Senior hires To make it even better, there are:

// Merlin - Crypto Tracking App Waitlist https://merlincrypto.com/?utm_campaign=Pre-Launch&utm_source=GMC&utm_medium=Podcast // Linqto https://www.linqto.com/?cjevent=b65ecbbec46011ec81b91b3a0a1c0e10 //// T H E 3 T W A R R I O R A C A D E M Y // Join the 3T Warrior Academy: https://3twarrior.com/warrioracademy?affiliate_id=3827481 // Join our Free Discord: https://3twarrior.com/discord49541345 //// F O L L O W T H E T E A M // Official Good Morning Crypto https://linktr.ee/3tGMCrypto Twitter: https://twitter.com/3tGMCrypto // Abs  Instagram: https://www.instagram.com/Abs3t/ // Mario | Node Defender https://linktr.ee/nodedefender Twitter: https://twitter.com/NodeDefender Youtube: https://youtube.com/channel/UCnld-Xvam562HFQDOIBwymw Instagram: https://www.instagram.com/NodeDefender/ // Johnny Krypto https://linktr.ee/johnnykrypto Twitter: https://twitter.com/JohnnyKrypto00 YouTube: https://www.youtube.com/channel/UCm-qyQNf1rnUaw6u20mKCVw // Gonzo Twitter: https://twitter.com/gonzo_3t Instagram: https://www.instagram.com/gonzo_3t/ // Selman Twitter: https://twitter.com/SelmanGee YouTube: https://www.youtube.com/c/GeeInvesting // NFTtones: https://linktr.ee/NFTtones // Billy Twitter: https://twitter.com/WadkinsBilly TikTok: @Homeless2Humbled Instagram: https://www.instagram.com/homeless2humbled_ //// Disclaimer: All of our videos are strictly personal opinions. Please make sure to do your own research. Never take one person's opinion for financial guidance. There are multiple strategies and not all strategies fit all people. Our videos ARE NOT financial advice. We are not financial advisers & this is not financial advice. #Crypto #CryptoNews #Bitcoin #BTC #ethereum #eth #ripple #xrpe #chainlink #quant #polygon #cardano Learn more about your ad choices. Visit megaphone.fm/adchoices

Venture investors have spent the last decade searching for the killer use case for VR. Today's founder, Andrew McHugh, thinks he's found it with his startup, Wist. But days before Andrew gave his pitch, Apple sent shockwaves through the industry by announcing their new headset, the Vision Pro. Will investors be skittish about the tech giant entering the space? Or is it a sign that VR's big moment has finally arrived? Today's investors are Paige Doherty, Neal Bloom, Elizabeth Yin, Mark Phillips and Charles Hudson. To learn more about Andrew's augmented reality startup and the investors featured on this episode, check out the Wist show page. You can also watch this pitch over on our YouTube channel @thepitchshow. Enjoying the podcast? Use this link to text a friend! Learn more about your ad choices. Visit podcastchoices.com/adchoices

I didn't even touch on AI connected to the Internet for data purposes, more episodes to come….AI is crazy, in a good way. Your new personal assistant which can help you with a plethora of tasks. It's still hard to fathom possible use cases due to how big and intricate this new technology will be. ENS x AI will definitely be a game changer for deep fakes and verified accounts in the future. What do you want to hear about on the next episode? Future of NFT Links: twitter: @theejarrod  Instagram: @futureofnft  email: jarrod.peters4@gmail.com --- Send in a voice message: https://podcasters.spotify.com/pod/show/futureofnft/message

As the CISO role continues to transform from a technician to a risk manager, how do you secure emerging technologies, such as edge computing? By aligning to business objectives. In this segment, Theresa Lanowitz from AT&T Cybersecurity and Scott Stout From Cisco help us break down the challenges of the CISO and how to align security requirements to business outcomes to solve the emerging edge computing use cases. During the interview, we will tackle the Hospital at Home and Manufacturing edge computing uses cases. Tune in for this collaborative session from two of the leading cybersecurity giants. This segment is sponsored by AT&T Cybersecurity. Visit https://securityweekly.com/attcybersecurity to learn more about them! In the leadership and communications section, Cybersecurity should be a business priority for CEOs, What CISOs Should Exclude From SEC Cybersecurity Filings, Effective Communication: The Key to Workplace Success, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/bsw-325

As the CISO role continues to transform from a technician to a risk manager, how do you secure emerging technologies, such as edge computing? By aligning to business objectives. In this segment, Theresa Lanowitz from AT&T Cybersecurity and Scott Stout From Cisco help us break down the challenges of the CISO and how to align security requirements to business outcomes to solve the emerging edge computing use cases. During the interview, we will tackle the Hospital at Home and Manufacturing edge computing uses cases. Tune in for this collaborative session from two of the leading cybersecurity giants. This segment is sponsored by AT&T Cybersecurity. Visit https://securityweekly.com/attcybersecurity to learn more about them! In the leadership and communications section, Cybersecurity should be a business priority for CEOs, What CISOs Should Exclude From SEC Cybersecurity Filings, Effective Communication: The Key to Workplace Success, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/bsw-325

Rebecca Lynn of Canvas Ventures joins Nate to discuss Why Good Marketing Beats Good Product, Emerging Use Cases for AI, and Tactical Advice for Founder to Build Their GTM. In this episode we cover: Product Market Fit, Customer Needs, Marketing Strategies and Product Development Marketing Strategies for Early-Stage Founders Venture Capital, Marketing, and Scalability Investing in Health Tech and Fintech Companies AI in Legal Tech and Debt Collection Guest Links: Twitter LinkedIn Canvas Ventures The hosts of The Full Ratchet are Nick Moran and Nate Pierotti of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter. Are you a founder looking for your next investor? Visit our free tool VC-Rank and we'll send a list of potential investors right to your inbox!

As the CISO role continues to transform from a technician to a risk manager, how do you secure emerging technologies, such as edge computing? By aligning to business objectives. In this segment, Theresa Lanowitz from AT&T Cybersecurity and Scott Stout From Cisco help us break down the challenges of the CISO and how to align security requirements to business outcomes to solve the emerging edge computing use cases. During the interview, we will tackle the Hospital at Home and Manufacturing edge computing uses cases. Tune in for this collaborative session from two of the leading cybersecurity giants. This segment is sponsored by AT&T Cybersecurity. Visit https://securityweekly.com/attcybersecurity to learn more about them! Show Notes: https://securityweekly.com/bsw-325

As the CISO role continues to transform from a technician to a risk manager, how do you secure emerging technologies, such as edge computing? By aligning to business objectives. In this segment, Theresa Lanowitz from AT&T Cybersecurity and Scott Stout From Cisco help us break down the challenges of the CISO and how to align security requirements to business outcomes to solve the emerging edge computing use cases. During the interview, we will tackle the Hospital at Home and Manufacturing edge computing uses cases. Tune in for this collaborative session from two of the leading cybersecurity giants. This segment is sponsored by AT&T Cybersecurity. Visit https://securityweekly.com/attcybersecurity to learn more about them! Show Notes: https://securityweekly.com/bsw-325

 Julian Lumpkin joins us on the Surf and Sales podcast and shares some amazing insights. Navigating the side hustle while still a W2  Starting a marketing agency while  never working in marketing The huge difference of having one case study versus none A case study should be easy to understand by someone outside your industry. Big props to Hubspot for making us a part of the Hubspot Podcasting Network! They even offer free tools to help your sales and marketing team. Click Here  Connect with us on LinkedIn Richard Harris Scott Leese Want to go to Costa Rica? Come to the next Surf and Sales event! Register Here!  

One of the most common phrases we hear is how can I actually use AI? What use cases exist for me to put AI to work for my business? Isar Meitis, CEO of Multiplai, joins us to discuss real business use cases for AI. From data analysis to marketing tasks, we cover a wide variety of topics. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Isar and Jordan questions about AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:[00:01:30] Daily AI news[00:04:00] About Isar and Multiplai[00:06:00] How to implement AI in a business[00:10:00] Roadblocks for companies adopting AI [00:15:25] Using AI for data analysis[00:19:30] Data security guidelines for AI[00:23:30] Using Gen AI for content creation[00:30:12] Ideation with LLMs[00:35:05] Isar's advice to start using AITopics Covered in This Episode:1. Integrating AI into business organizations2. Use cases of AI in data analysis3. Role of the committee in exploring and implementing AI4. Content creation and repurposing with AI tools5. Consulting with experts and utilizing their contentKeywords:financial data, session, accessibility, Google, database, sensitive information, sharing, continuous education, exploration, AI, podcast, consulting, teaching courses, staying updated, business owners, limited time, learning, experimenting, new tools, advancements, Microsoft, Google, Salesforce, HubSpot, integrating AI features, business leaders, committee, framework, boundaries, misuse of AI, company values, salesperson, compensation, guidelines, boundaries, education, training sessions, third-party tools, ChatGPT, advanced data analysis, insights, marketing, scattered data, automation tools, Zapier, Maker, data security issues, Gen AI tools, pain points, video recording, content repurposing, transcription, SEO purposes, books, advisory board, committee, bouncing ideas, multiple perspectives, CEO, experienced professionals, tech startups, AI impact, education, data security, commercial version, immediate results, low hanging fruits, data analysis, finance, marketing, sales, HR, fear of publishing private data, large language models, MidJourney, Niji app, AI image generation, anime style, version 5, image generations, DALL E, ideation, content creation process Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

“Those that are equipped with and know how to ably use AI are going to be outdoing those lawyers and law firms that do not.”The FutureWork podcast episode 6 features Dr. Lance Eliot, a regular Forbes contributor and AI Fellow at Stanford University and Dazza Greenwood, a renowned Fortune 100 legal tech advisor and the Executive Director of Law.MIT.edu. Both guests have industry-leading research and publications, and they routinely counsel attorneys, CEOs, educators, and business leaders. Lance and Dazza are also on the cutting edge of GenAI trends–developing roadmaps for legal teams, engineers and executives to transform the future.Viewing generative AI as an effective tool for lawyers and not something to fear, Lance and Dazza provide listeners with suggestions for the most effective uses of legal prompt engineering and generative AI as a whole. From summarizing discovery material to identifying ambiguities in a legal document, generative AI can be a huge asset to the legal field. However, they caution that the results are only as good as the prompts.Tune in as Natalie, Lance, and Dazza discuss key steps in creating a framework for the responsible use of generative AI in the practice of law, crucial techniques for how to boost your prompt engineering skills as a lawyer, high value use cases for generative AI in the practice of law, and why lawyers are in a great starting position to use generative AI. Key HighlightsAn effective framework for harnessing the power of generative AI responsibly in the practice of law involves formulating well-constructed prompts, reviewing and critiquing the outputs, iteration, and human oversight.AI is coming into law practices, whether lawyers or law firms want it or not.Prompt engineering is the idea that there are effective ways to craft prompts to carry on conversations with generative AI that are beneficial to the person who is interacting with the generative AI.Summarization is an example of a high value use of generative AI on legal tasks. There are various prompt engineering techniques that lawyers can use to effectively interact with generative AI.

What is Cerebrium? Michael Louis, the episode's guest, introduces Cerebrium as a platform that deals with abstractions on two levels, specifically focusing on GPUs and scaling for machine learning applications. The Importance of GPUs in LLMs Why are GPUs essential for large language models (LLMs)? GPUs have the capability to handle tens of gigabytes of data, which makes them superior to CPUs for LLM tasks. The cost challenge: Running GPUs 24/7 is not feasible due to their high costs. Serverless computing is becoming crucial for making GPU usage affordable. Financial Considerations Generating a million API requests could cost tens of thousands of dollars, highlighting the importance of cost-efficient solutions. Enterprise-level solutions could cost a couple of million dollars annually. Use Cases and Limitations Instacart uses specific and fine-tuned models for its operations. When customer support bots answer queries, each question processed by a 100-billion parameter model can cost approximately ten cents. One of the challenges is latency; the time delay is often too high for practical applications. The Role of Specialized Chips Companies like AWS are developing specialized chips for specific use cases to combat latency and other issues. GPT-4 and similar models are opening doors for generative AI and traditional machine learning applications. The Future: AGI vs. Autonomous Agents Autonomous agents and Artificial General Intelligence (AGI) differ in their approximations and semantic understanding. AGI is considered the terminal reference for fully self-aware AI, while autonomous agents operate based on defined workflows. Impact of AI and Ethical Considerations Michael Louis aims to make machine learning more accessible for medium-sized enterprises. There is a significant challenge in regulating technology that we do not yet fully understand, like cryptocurrency. Global Perspectives and Social Impact Louis discusses the high unemployment rate in South Africa and the importance of understanding the privilege of a job. He emphasizes the role of power in making a social impact. Building B2B Relationships In-person relationships are essential for B2B success. Louis stresses the need for penetrating network circles for business advantage. Personal Journey and the Importance of Adaptability From his early days in South Africa studying computer science to becoming an entrepreneur, Louis talks about his life journey. He shares the experience of selling a startup to Walmart and what led him to his current venture. Robotics and AI Louis believes that context awareness for robotics is the future, citing examples from Boston Dynamics and others. He discusses the ethical implications of robots in everyday life and their potential in various fields like space travel and mining.

ChatGPT-4 Vision is one of the biggest AI product updates of the last few months and people are still just exploring all the ways it can be used. NLW explores a recent framework from Greg Kamradt for the 7 categories of use got GPT-4V, including: Describe, Interpret, Recommend, Convert, Extract, Assist, Evaluate. Read more: https://twitter.com/GregKamradt/status/1711772496159252981 TAKE OUR SURVEY ON EDUCATIONAL AND LEARNING RESOURCE CONTENT: https://bit.ly/aibreakdownsurvey ABOUT THE AI BREAKDOWN The AI Breakdown helps you understand the most important news and discussions in AI.  Subscribe to The AI Breakdown newsletter: https://theaibreakdown.beehiiv.com/subscribe Subscribe to The AI Breakdown on YouTube: https://www.youtube.com/@TheAIBreakdown Join the community: bit.ly/aibreakdown Learn more: http://breakdown.network/

Canis Lupus is the developer of Ferrite Recording Studio and is introducing a brand new app entitled Transcriptionist. Canis was on episodes 34 and 160 of this show to discuss Ferrite Recording Studio. In this episode we are diving deep into Transcriptionist; an on device transcription app that directly integrates with Ferrite. This is an app that really puts the power of the M1 and M2 iPad Pros to use and creates some truly great looking and very accurate transcripts.This episode of iPad Pros is sponsored by Agenda, the award winning app that seamlessly integrates calendar events into your note taking. Learn more at www.agenda.com. Agenda 18 is now available as a free download for macOS, iPadOS, and iOS.Early access of iPad Pros and Vision Pros with chapter markers are available by supporting the podcast at www.patreon.com/ipadpros. Early access is also available on Apple Podcasts by subscribing. Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:https://www.wooji-juice.com/products/transcriptionist/https://apps.apple.com/us/app/transcriptionist/id644705940https://indieapps.space/@woojiChapter Markers:00:00:00: Opening00:01:36: Agenda00:02:11: Vision Pros00:02:42: Canis Lupus00:04:03: iPadOS 1700:05:30: Transcriptionist00:06:18: Where did the idea come from?00:14:11: Use Cases of the App00:17:59: Editing Podcasts via Transcriptions?00:22:43: Video Export00:23:43: Neural Engine00:24:51: Fast Transcripts vs. Slower Ones00:27:32: What resources are being used to transcribe?00:30:03: Swapping RAM00:32:50: Each person on their own track00:35:26: Sponsor: Agenda00:38:30: Fixing typos00:41:32: Custom words?00:44:55: Chapter Markers00:47:05: Video00:48:47: Beautiful Transcripts00:55:44: HTML Audio Player?00:57:38: Transcript Metadata00:59:16: Best Practices for Sharing Transcripts?01:00:50: AI Brains01:04:43: Look Ahead01:08:11: Neural Engine Cutoff?01:10:22: Other languages01:11:36: Updates to the brains?01:13:04: On the Mac01:15:02: Exporting from Ferrite01:16:53: How is the Mac app different?01:22:13: Ferrite on Mac?01:24:04: visionOS01:30:07: Foreign Language Transcriptions01:30:35: Anything else?01:32:07: Wooji Juice01:32:40: Mastodon01:34:14: Closing Hosted on Acast. See acast.com/privacy for more information.

An Assessment of Key 5G Ecosystem Developments Including the Nokia DAC PW Compact Launch, Blackberry's IoT IPO, and New Ericsson ConsumerLab Research In this episode of The 5G Factor, our series that focuses on all things 5G, the IoT, and the ecosystem as a whole, The Futurum Group's Ron Westfall is joined by colleague and fellow analyst Todd R. Weiss, for a look at the top 5G developments and what's going on that caught our eye. Their conversation focused on: Nokia DAC PW Compact Debut. The launch of Nokia Digital Automation Cloud (DAC) Private Wireless (PW) Compact provides a new configuration optimized to fulfill the private wireless connectivity demands of small- and mid-sized industrial sites. We examine how the new solution bolsters Nokia's commitment to accelerate green energy adoption, including the potential digital ecosystem impact the Nokia DAC PW Compact solution can generate by supporting up to 60 percent more energy-efficiency than Wi-Fi, resulting in a considerably lower energy footprint. BlackBerry Spins Out IoT Business Unit for IPO. Blackberry embarked on a major overhaul of its strategic direction following the company's “Project Imperium” review. Blackberry's board of directors resolved to separate its Internet of Things (IoT) and cybersecurity business units in preparation for an initial public offering (IPO) of its IoT concern next fiscal year. They consider the warrant behind the move as it further sharpens Blackberry's primary focus on providing services in security, including managed detection and response (MDR) and critical event management, following its 2019 $1.4 billion acquisition of Cylance. Ericsson ConsumerLab Report Highlights Differentiated 5G Connectivity Opportunities for CSPs. The Ericsson ConsumerLab satisfaction and user-loyalty-focused report, “5G Value: Turning Performance into Value”, highlights the CSP business case potential for 5G as a growing number of subscribers around the world express increased satisfaction with 5G. The comprehensive research, which reflects the views of an estimated 1.5 billion consumers globally, including about 650 million 5G customers, is part of an Ericsson research series which has tracked the evolution of the 5G consumer market since 2019. They review the impact of key takeaways such as 20% of 5G smartphone users are willing to pay premium to CSPs for differentiated QoS and 5G consumers have a threefold more likelihood of switching providers due to poor connectivity experiences as major venues like stadiums, arenas, and airports, can have on CSP decision makers and the 5G ecosystem. #Nokia, #private5G, #cloud, #industrialsites, #SMEs, #Blackberry, #IoT, #cybersecurity, #IPO, #Ericsson, #ConsumerLab, #consumer, #QoS, #smartphone, #wifi 

Good morning from Pharma and Biotech Daily, the podcast that gives you only what's important to hear in the Pharma and Biotech world. Today, we have some interesting news to share with you.Microsoft has recently unveiled new generative AI products for health systems, aiming to help alleviate clinician burnout. This aligns with their approach of developing low-risk but high-impact use cases for AI in healthcare. Similarly, Walgreens has announced the launch of its direct-to-consumer telehealth services, with the goal of creating a convenient health and wellness destination for customers.Moving on, Google Cloud has developed generative AI tools for medical search capabilities, connecting to external sources and patients' medical records. Samsung and b.well have also partnered to collect health data on Galaxy smartphones, allowing users to schedule appointments with select providers through the Samsung Health app.In other news, Ascension, a nonprofit health system, is facing negative outlooks from credit agencies following weak earnings. However, Fitch Ratings and S&P believe that Ascension has the potential to rebound. Additionally, the coalition of Kaiser Permanente unions has released potential strike dates for November, potentially involving up to 78,000 workers.Shifting gears, pharmaceutical companies are investing in space research and experiments to take advantage of the unique environment. The market for space research and manufacturing is expected to exceed $10 billion by 2030, presenting investment opportunities for various industries. Companies like Varda Space Industries and Space Forge are looking beyond the International Space Station and constructing compact "factories" in orbit. These efforts have the potential to impact life on Earth, such as studying bone health in space leading to the development of new drugs for osteoporosis.On another note, Google is betting on artificial intelligence (AI) in the life sciences industry despite concerns. A life sciences executive at Google Cloud discusses the future and fears surrounding the use of AI in pharmaceuticals. The use of biomarkers to measure drug efficacy is also being debated, with a poll asking whether the FDA should allow companies to use biomarkers more frequently. In a recent poll, 46% of voters believe that the life sciences industry does not adequately promote and reward early scientific research.That's all for today's news. Thank you for listening to Pharma and Biotech Daily, where we bring you the latest updates in the Pharma and Biotech world. Stay tuned for more news and information.

There was a lot of hype around generative AI when ChatGPT debuted, how it was going to replace human writers and so on. But now that the dust has settled a bit, I think there's a growing consensus that AI isn't quite ready to take over for human writers and other creators.  Which begs the question, what exactly IS gen AI good for? To help us answer this question, my guest is Brad Smith, a serial entrepreneur who owns three companies, codeless, wordable, and uSERP, all in the b2b marketing space.

In dieser Episode tauchen wir in die Welt der Versicherungen ein und betrachten die neueste InsurLab Studie. Wir haben heute zwei spannende Gäste bei uns: Dr. Philipp Nolte und Roderich Lichter. Die InsurLab Studie zeigt auf, wie Unternehmen aus etablierten Branchenlogiken ausbrechen und disruptive Potenziale nutzen können. Wir lernen über erfolgreiche Startups, die innovative Wege eingeschlagen haben. Zudem betrachten wir die Rolle von Ökosystemen und Plattformen in der Versicherungswirtschaft und wie kleine Unternehmen davon profitieren können. Wir werden auch über die Bedeutung von Innovation, Transformation und Digitalisierung sprechen und wie das InsurLab Germany als Plattform für Zusammenarbeit und Unterstützung dient. Es ist Zeit, sich von inkrementellen Ansätzen zu lösen und mutigere technologische Innovationen anzustreben. Begleiten Sie uns auf dieser Reise durch die spannende Welt der Versicherungen und entdecken Sie, wie die Branche sich weiterentwickelt und disruptive Potenziale nutzt.Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Vielen Dank, dass Du unseren Podcast hörst!