Podcasts about enterprise applications

According to Gartner, at least 30% of generative AI projects will be abandoned after proof of concept due to escalating costs, poor data quality, or unclear business value. There are a lot of factors working against them, and too often failure happens when teams are right in the middle of building. They’ve spent significant time, money, IT capacity on something that may very well have been doomed from the start. So how do you know if something is actually worth building with AI or if you should just focus on buying instead? Riley Rogers: Hi, and welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Keith Weaver, Senior Director of Global IT and Enterprise Applications at Highspot. Thanks so much for joining us today, Keith. I’d love if you could just kick us off by telling us a little bit about yourself, your background, and your role. Keith Weaver: I have been leading our global IT team at Highspot. I’ve been in IT for, I think, getting close to 20 years now, just overseeing all kinds of different systems and specialties within those systems. Our IT team at Highspot is IT operations, making sure everyone has devices, equipment, all of that globally. We’re now in seven countries. As well as system engineering, making sure everyone has the right tools, that they’re optimized for the business. And then we have specific teams in IT that specialize in financial systems and HR systems. In the world of AI, it’s a whole new world and it’s a lot of fun. RR: So 20 years in IT, you’ve kind of run the gamut. But it sounds like the last two and a half years have crammed almost 20 years’ worth of change into a very short window. When we were planning for this episode, you mentioned to me that you read four or five newsletters every morning just to keep up with the pace of innovation. Can you walk us through why you’re spending so much time learning and how IT has had to evolve to keep up with this pace of development? KW: What I’ve seen is mostly it’s the same things that we’ve done, except it’s done at a much faster pace. It is kind of an unheard of pace that AI is moving. Every day, the reason I read five different newsletters is because there are so many new things getting released, whether it’s a new model or a new tool, and then there are things within the tools that are getting released. Trying to understand all those things, the new protocols that are getting released, the new ways people are building or executing on AI, or the new things people are learning, is just really critical. And all of that is at a speed that we’re just not accustomed to. So I think that the objective of what an IT team does to continue to keep the business unlocked, able to do their best work with the technology and tools while making it secure and scalable, those things are the same. It’s just the speed now that it’s running, and the speed from the business. The business is moving so fast, and their expectation is that IT continues to deliver at that pace. I’ll give you some examples. I get probably, me personally, not my team, but me personally, I probably get 20 to 50 requests for new connections, new skills, new tools every week. That’s in Slack, in Jira. It’s just nonstop, and that’s just unheard of before AI. It just didn’t happen. It would be like, “Oh, we have this big initiative, and we’re gonna do this thing.” And now it’s just like, “Can I have this? Can I have that?” And all good things, it’s just how do we do that, and how do we keep up? RR: So when you have 20 to 50 requests hitting your desk every week, it can probably start to feel a little overwhelming. And I wonder if the folks who are sending these requests your way maybe don’t know the considerations behind every single one of these ideas. I’d love if you could give us a view of what you’re seeing across the industry as both technical and non-technical teams are all noodling on the idea of how to build with AI, how to buy AI tools, how to bring them all together and create a combination that actually works. What are you seeing? KW: Well, I think if you think back a year to a year and a half ago, mostly people were buying tools. Building was… It’s so funny ’cause we’re talking about a year ago or a year and a half ago, but building was much harder. And really with Claude, the Opus class models that came out, it really started unlocking the ability for everyone to start building. And so since then, the conversation shifted from, “Yeah, we can go buy this tool,” to “We can build this internally.” And there’s a lot of excitement to build because building’s fun. The pendulum just swings often on these things, and so we’re kind of in that wave where everyone’s super excited about building something. And I think we’ll end up in a place that is more normalized, where we’re building some, we’re buying some. We’re doing a hybrid approach. I think that is where we’ll end up. It’s just, it has swung really far to, “Look, we can just go build that thing.” RR: So it sounds like we’re kind of in the early phase of a cycle that you’ve seen time and time again, where surrounded by enthusiasm, but maybe we don’t have much direction. And like you said, building is fun, so I imagine you probably hear a lot of, “Hey, look what I built,” or, “Why can’t we just build this?” So when something like that lands in your inbox, what’s the first thing that goes through your mind? KW: If it’s, “Look what I built,” there’s lots of questions, like how is it being deployed? What’s the next step with this? Who’s gonna own it? How is this actually out in the world, and how are we gonna make sure that it’s as scalable and secure? If it’s a conversation, I would say this is more so where we hear, “We want to build this thing,” or, “We can just go build this thing. Why would we buy this?” I think the thing that I would ask is, what is the long-term path for this? Because deploying is just the first step. It’s the iteration. It’s the test. It’s continuing to deploy it. It’s maintaining it. It’s supporting it. It’s the full life cycle of any software project. What resources are gonna do that? How are we going to maintain this and support this long term? Those are usually the questions that I start asking. RR: And you’re quite equipped to speak to the build side of the equation because you’ve done it. You’ve tackled the planning, the deployment, the maintenance, the ongoing support, the full life cycle, like you said, of a software project. And you’ve done it with AI. I’d love if you could walk us through your first test case. Tell us a little bit about what you were thinking going in, and what you learned along the way about what works, what doesn’t, and what was surprisingly difficult. KW: Yeah. So we built an IT AI agent and an HR agent, and we did that with a cross-collaborative team. I think we started it last fall and then deployed it in February or March this year. And I would say the main objective there was not that these are the tools that are gonna change the way we function. The main objective was a learning. It was an R&D investment. So we knew that we had to, as an IT team, be able to help the business deploy these agents, and we found some use cases that we could. The IT one we can own in-house. The HR one, we already collaborate with them very closely on a number of things. So it felt like a good first step for us to dip our toes, learn a lot about how to build these, what works, what doesn’t. And these agents are more than just chatbots. They really were taking actions in tools like Jira and Workday, Highspot itself. And we built them using the Workato platform, and what we learned through it is it was actually really exciting and really easy to get to a place where this mostly works, and this is pretty, it feels like this could be really powerful. That was, like, the first three weeks. The rest of the time was, “Oh, gosh, how are we going to get this thing so that it doesn’t give somebody some really poor answer from a security standpoint or an HR answer that needs to be rooted in truth?” And then how can we make sure that it repeatedly does these actions no matter what people prompt, that it’s really controlled? I often described it to my team like it was training a four-year-old. I have four kids and they’re all older now, but it was like I was back in those toddler stages. Like, “Why’d you decide to do that? That was a bad decision. Stop.” And trying to train it and get it to that point, it just took a massive amount of time. And since we’ve launched it, it’s a lot of resources to read the conversation, understand what was asked, understand what it did and where it went wrong, then refining it, then retesting it, then redeploying it. It’s a cycle. It’s this continual cycle, and that takes a lot more resources and time than I originally thought it would. RR: Ballpark, what did that investment look like? How long did it take you to build? How many queries did you have to manually validate before you trusted the thing? And how much are you still investing today to keep it alive? KW: In the beginning, you just start giving it manual prompts and testing it to see what it does. Then you produce your test cases, and you manually go through those test cases, and every time you make some major changes, you go through those test cases, make sure that it’s still hitting. Because just changing one little thing, for example, if you take a tool and change the prompt or the description of that tool, you actually have to do regression testing on all the things that someone could prompt, because just changing that one little description, the agentic reasoning could choose to use that tool or not use that tool at the wrong places. So it’s really important to do this regression testing. Then we started going through how do we automate some of this testing, and we were able to do some of that. But I think the biggest takeaway is with software, traditional software, you do regression testing, but if you change this bit of code, really that’s what you have to worry about, anything within that bit of code, not the whole stack, not the whole thing. This was, I think, a really big takeaway. We would make a small change, and something unrelated, completely unrelated, would start acting weird. And then you have model changes. You’re like, “Oh, I want to move to the latest model.” Well, that latest model now, the reasoning’s different, how it picks up tools might be different, and so that also has been a challenge. I think over time, especially as the tools evolve, the automated testing will get easier. We can have Claude, for example, go through and give it a bunch of questions, evaluate the responses. But you’ve got to build that too. That’s all something you’ve got to build in order to maintain this thing. RR: Now, you said this project was conceived last fall, launched, not necessarily finalized, ’cause it’s never really finalized, but launched publicly in the February March timeframe. So now we’re almost a year out from initial conception, couple months out from launch. Given your point about things changing so much in the last year and a half, now knowing what the landscape looks like, would you have built differently or would you have built at all? KW: It’s a great question. I think if I go back to my objective that I needed to learn and I needed my team to learn how to deploy these things and the challenges of it, I wouldn’t change what we’ve done, and they’re still deployed in production right now, although we are not spending a massive amount of time making them better. Would I change what I’ve done? No, but that’s because of where my objective was. My objective wasn’t to massively change the HR process or the IT process. It was to learn. And I think that given the right investment, we could move them further along. However, I do not believe that building something that every business has to do, IT and HR stuff, that… all those questions that we get, both of those teams get, are the same across most organizations. Most of the things employees need to do in these functions are the same across all organizations. So I don’t know that I would double down and want to go build the agentic functionality behind IT and HR. What I would want to do is look at our specific processes, things that are unique about our business, not only where we have the information, but what tools we use, and then maybe specific processes of how we do something, and figure out how do I build that piece and tie it into something that’s delivered. And there are so many, just talking about the IT space, there are so many systems right now that have the agentic functionality and give you the ability to tie in all your different tools. So I would probably try to leverage those rather than just building everything from the ground up. RR: As an aside, I will say I have used both the IT and the HR agents. They’re quite cool. The HR one talked me through my vision insurance at 8:00 PM on a Saturday, so thank you for that. Very helpful. So you mentioned that this was something that you and the team invested in as a learning, so you could understand what the process of building an agentic workflow looked like, an agentic tool looked like. So having now seen what it looks like, what must be invested in order to do this successfully, how do you draw the line between what you can build, what you should build, and what you’re better off just buying? KW: I think you should build the things that are unique to your business. You could think about this as your moat, but I think it goes beyond that. It’s where your processes or the way you handle something is very unique. In those cases, it may make sense to build something from scratch. But if it’s not unique to your business, like go back to the HR and IT, most of it’s just not unique. And so in most cases, when you don’t have something unique, then it likely makes sense to buy it, because you get the power of the organization that has built that tool behind it, pushing that tool forward much faster than you’re ever going to push it forward, ’cause we’re just not gonna hire that many engineers to do it. And so if there’s an IT tool out there that is bringing all that agentic functionality to the forefront, then why would I not leverage that, as long as I believe in the company, they have a track record to deliver, and they have the ability to build on top of it for some unique IT process that I have or some deterministic termination workflow that I want to execute. If I can do that, then I would say let me build what’s unique and tie it into something where the base or the product is being delivered. RR: Outside of that uniqueness component, if you’re a GTM leader trying to make that call, what other questions would you be thinking about and asking yourself? KW: I think I would just go back to that uniqueness test. Is this unique to my business? Is this a unique sales motion, a unique thing that we do here because of what we’re selling or how we’re selling that I can’t expect a vendor to build this or be able to deliver it? Or is it roughly the same thing everyone else is doing, the same problem everyone else is trying to solve? There are unique components, ’cause there are always unique components to this, but those unique components can be built alongside or included within that tool. And here’s the wonderful thing, if you just take AI or Claude, for example, we’re using Claude internally, you have a tool that has all the MCP capabilities like Highspot, like Salesforce, and you have some unique process with some maybe even proprietary tool that you want to do. Well, the great thing is you can bring that all into Claude. You can use Workato or build a skill within Claude and use that, whatever you’re building for that unique process, that unique system, and tie it in with those other tools that already are giving you a lot of functionality, and now you’ve expanded what you already had, and you’re spending your time in that uniqueness layer. What’s unique to us? That, to me, there’s value in that, to build there, because you’re not gonna get another organization to spend the time, money, or energy building on that. RR: So it sounds like it kind of comes down to a basic cost benefit call. Is the upfront investment and ongoing maintenance worth what that unique build will actually deliver? KW: When you’re doing the cost analysis, you can’t look at just what it costs to build. You have to look at the full life cycle. An analogy for you is, if you go back, maybe 20 years when SaaS really became a big thing, you had Salesforce kind of leading the charge. In all of the sales cycles, they would say, “You no longer need servers, and you no longer need admins.” The business manages this themselves, and everyone was super excited. Oh, this is gonna, the ROI’s gonna be so great on this. The business is gonna own this. We can move really quickly because we can change workflows and do this stuff and own it all internally. We don’t need an IT team to manage servers, et cetera. And everyone got really excited about this, and I remember all those years ago being like, “Guys, I don’t know if that’s really gonna be true.” So now you fast-forward, and it hasn’t been 20 years. For the last 15 years, we’ve been actually hiring system admins like crazy. We have Salesforce admins, NetSuite admins, Workday admins, Jira admins, and we are spending millions of dollars on these admins to maintain these systems that were supposed to have a great ROI. And I haven’t seen any studies on it, but I bet if we could compare on-prem with old software that we used to buy and put on-prem to SaaS, we would say that it was a lot cheaper to do it. And we’re not gonna go back. We’re not gonna do that any differently anymore, but I think we have to use that same type of lens. The ROI is not just the build. It is how are we gonna maintain this and keep it long term. RR: Yeah, and that’s the pendulum swing you mentioned earlier. Excitement, then reality hits, then we’re back to the next shiny thing. For those in that stage of enthusiasm that maybe don’t know what they’re getting themselves into, what do you wish they understood before kicking off a build or approaching IT with an idea? KW: I think the full cost. That you can’t do the math by just looking at what it costs to build, or that I can get a couple of my key people to go build this thing in Claude, but it’s how are we going to scale this in the organization? How are we going to deploy this thing? How are we going to maintain it? How are we going to support it? Who’s gonna take the support questions at midnight when they come in? And then how are we gonna iterate to keep ahead and make sure that it can do everything that we need it to do and stays ahead of where the business is going? RR: And when you’re having those conversations, at what point should IT actually be in the room? And what happens when you’re not? KW: I think that IT should be brought in the room as soon as a team is saying, “We can build this instead of buying it.” And really, I think that IT is not there, or hopefully we’re not there to say no. We’re there to help shed a light on what it’s actually going to take long term so that we make the best decisions. Because ultimately, I think we understand the technology and we understand the challenges of deploying stuff like this and then maintaining it long term. That’s what we do. And so if we’re in the room earlier, we can at least shine a light on it and give kind of that picture of reality so that we’re making the best decisions and there’s no surprises. Because the worst thing is that decision to build is made, they start building it, they realize they need IT’s help, and IT has a roadmap. We don’t have the resources or the ability to step in and solve this problem. Now you’ve wasted money. RR: Yeah. I saw a really interesting stat from some original research by Influ2. They surveyed marketing and sales leaders that are in the market for technology, and of those leaders, only 10% of them saw the IT perspective as valuable during the evaluation. 38% of them, however, then came back and said our biggest blocker, the number one blocker, in fact, was IT. So that disconnect is very clear, and it’s causing very clear consequences down the line. KW: I think what I would say is the best IT teams don’t want to be blockers. We don’t get excited blocking what the business is doing. We get excited leveraging the technology and moving it forward as fast as possible and seeing the business successful. So that’s what we want to do. It’s really hard when decisions have been made that back us into a corner and we’re like, “There’s no way to scale this, support this, continue this.” And then we’re seen as a blocker, but if we just had the conversation earlier, we could actually mitigate that much earlier. RR: So it sounds like the theme here is that your IT team wants to be a partner, not a gatekeeper or a blocker. And so knowing that, bring them along for the ride. Give them a seat at the table. Your programs, your investments will be better for it. If you had to boil this all down to one tip for marketing, sales, or enablement leaders on partnering with IT as they bring AI into their tech stack, what would it be? KW: I think if you can bring the IT team in and have a forward-looking view over the next year, over the next two years. It’s really hard to look two years out with AI and how fast it’s moving, but over the next year maybe, this is where we want to get. This is what we want to automate. This is what we need to fix. This is what we need to deliver in order to continue to execute on our objectives. If IT is on the same page there, we can be a proactive resource and help to get them there. We read all these things every day, there might be something that I’m seeing in the market or happening that I can bring to the table. Or at very least, when you come to me in six months and say, “Okay, I pulled the trigger on this thing,” we had that conversation. I knew it was coming. I knew the direction we were going, and directionally I was aligned with you, and so now I’m supporting that initiative rather than it being a surprise with no resources. So let us help with the roadmap. I think if we could do that across the whole business with IT, we would win together. RR: The one pretty clear takeaway, I think, whether you build, whether you buy, or whether you land somewhere in between, bring your IT team into the conversation, and you’re set up either way. Keith, last question for you. Just curious, what would you say to someone who looks at this build, buy, blend conversation and asks, “Why don’t I just build Highspot myself?” KW: When you build something as big and as complex as Highspot, there’s a lot of learnings that happen, a lot of iterations, a lot of changes to get to where you are. And trying to build that from scratch is very difficult. And I think the next thing that you may hear is, “Well, we can cobble this together.” I would just say you’re going to maintain that thing that Highspot has a full engineering team to make that as wonderful and as best as it can be. And how many engineers can you staff to do that and keep the velocity of it so that whatever you’re building is gonna move faster and be better than what Highspot’s building? And then what’s that gonna cost you? Going back to that build versus buy, when you start looking at how many engineers it takes not only to build it, but then to maintain it, support it, deploy it, I think the ROI doesn’t pencil out. RR: The moment you throw out the phrase cobble together, I think you’ve kind of already answered your own question. Keith, thanks for the window into a world most of us in go-to-market rarely see. This was a lot of fun, and I’m really excited to share the news. IT is there to help, and when you give them a seat at the table, your AI investments will be better for it. KW: Yeah. Thank you so much. I appreciate the time. RR: To our audience, thanks for listening to this episode of the Win/Win Podcast. Tune in next time for more insights on how to maximize go-to-market success with Highspot.

Microsoft warned that the hacking group ShinyHunters abused OAuth in SaaS environments to gain persistent access through malicious applications. The company described attacks that rely on user or administrator consent to grant high value permissions, allowing access to email, files, calendars, and directories without using passwords. Microsoft advised limiting who can register applications, requiring administrator approval for risky scopes, preferring publisher verified apps, and applying Conditional Access to consent flows. Detection steps include auditing Enterprise Applications, reviewing OAuth consent logs and token usage, and removing malicious service principals while revoking tokens. Founders should inventory third party integrations, enforce least privilege scopes through centralized approvals, and require security commitments from vendors. Training employees on consent prompts and running incident exercises help strengthen response and reduce business risk.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

286 - Yvette Florez - Enterprise Applications Manager CO State Government Agency by Alex Wood & Robb Reck

It's YOUR time to #EdUp with the team at Cuyahoga Community College (Tri-C) - Jared Medved, Executive Director, Enterprise Applications, Cindy Shick, Director, Enterprise Application Services, & Standish Stewart, CIOIn this episode, recorded LIVE from the Ellucian Live 2026 conference in Denver, Colorado,YOUR host is Dr. Jodi BlincoListen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want access to the only intelligence platform built exclusively from presidential conversations in higher education? Join EdUp Leadership!

How does someone juggle running a business, teaching at two universities, and working full-time as a Director of Enterprise Applications? In this episode, Cam and Otis sit down with Dr. Tresia Eaves—Air Force veteran, author, adjunct professor, and founder of Variant Enterprises—to explore her remarkable journey from military service to becoming a recognized leader in technology consulting and project management."You are only limited by yourself and the limitations you put on yourself," Dr. Eaves explains, sharing how she's managed to build a successful consulting business while teaching the next generation of business leaders and leading IT initiatives at Texas A&M University, Kingsville. From discussing her transition from military software development to civilian project management, to revealing her upcoming work on "The Platinum Rule" (treating others as THEY want to be treated, not as you want to be treated), this conversation offers valuable insights for anyone navigating multiple professional roles.What makes this episode particularly valuable is Dr. Eaves' practical approach to time management, her emphasis on building supportive teams, and her commitment to giving back through education. Whether you're a veteran transitioning to civilian work, an entrepreneur balancing multiple ventures, or a leader interested in project management excellence, Dr. Eaves' story provides a roadmap for achieving success without putting limitations on yourself.More About Tresia:Dr. Tresia Eaves has over 30 years of technology consulting and information technology leadership experience. She is also an author, instructor, public speaker, adjunct professor, and proud veteran of the US Air Force. She established her company, Variant Enterprises, LLC, in 2011 and has her Service-Disabled Veteran-Owned and HUBZone Small Business certifications through SBA.gov. She also has her Texas VetHUB certification. She currently serves as the Director of Enterprise Applications for Texas A&M University, Kingsville. She recently worked as a subcontractor for the US Forest Service as a Senior Program Manager in the Office of the Chief Technology Officer (2023- 2025). She earned her doctorate in Information Science from the University of North Texas. She also has a bachelor's degree in computer science from Baylor University and a master's in organizational Behavior from the University of Oklahoma. Dr. Eaves is a published author with her book, “Above and Beyond: The Secrets of Outstanding Project Leadership,” published in 2014 by IIL, and has published multiple other articles in professional and academic journals. Her latest effort is focused on educating professionals on “The Platinum Rule,” and a book is planned for 2027. She resides in Rockport, Texas, with her family.Chapter Times and Titles:Introduction: The Multi-Hyphenate Leader [00:00 - 05:00]Welcome and meet Dr. Tresia EavesAir Force veteran, author, professor, and business ownerSetting the stage: How does she do it all?"I'm a Project Manager at Heart" [05:00 - 13:30]Managing schedule, family, and multiple professional rolesTeaching classes since 2021The advantage of experience and preparationFounding Variant Enterprises in 2011From Air Force to Civilian Project Management [13:30 - 22:45]Military background in software development and testingThe transition challenge: translating military experienceLearning that "all this software development stuff is called project management."Getting certified and launching a consulting career"You Are Only Limited by Yourself" [22:45 - 32:00]Breaking through self-imposed limitationsThe importance of supportive teamsWorking with Texas A&M University, KingsvilleThe EBV (Entrepreneurial Bootcamp for Veterans) program at Texas A&M College StationThe Platinum Rule: A New Approach to Leadership [32:0

In this episode of the Crazy Wisdom podcast, host Stewart Alsop welcomes Roni Burd, a data and AI executive with extensive experience at Amazon and Microsoft, for a deep dive into the evolving landscape of data management and artificial intelligence in enterprise environments. Their conversation explores the longstanding challenges organizations face with knowledge management and data architecture, from the traditional bronze-silver-gold data processing pipeline to how AI agents are revolutionizing how people interact with organizational data without needing SQL or Python expertise. Burd shares insights on the economics of AI implementation at scale, the debate between one-size-fits-all models versus specialized fine-tuned solutions, and the technical constraints that prevent companies like Apple from upgrading services like Siri to modern LLM capabilities, while discussing the future of inference optimization and the hundreds-of-millions-of-dollars cost barrier that makes architectural experimentation in AI uniquely expensive compared to other industries.Timestamps00:00 Introduction to Data and AI Challenges03:08 The Evolution of Data Management05:54 Understanding Data Quality and Metadata08:57 The Role of AI in Data Cleaning11:50 Knowledge Management in Large Organizations14:55 The Future of AI and LLMs17:59 Economics of AI Implementation29:14 The Importance of LLMs for Major Tech Companies32:00 Open Source: Opportunities and Challenges35:19 The Future of AI Inference and Hardware43:24 Optimizing Inference: The Next Frontier49:23 The Commercial Viability of AI ModelsKey Insights1. Data Architecture Evolution: The industry has evolved through bronze-silver-gold data layers, where bronze is raw data, silver is cleaned/processed data, and gold is business-ready datasets. However, this creates bottlenecks as stakeholders lose access to original data during the cleaning process, making metadata and data cataloging increasingly critical for organizations.2. AI Democratizing Data Access: LLMs are breaking down technical barriers by allowing business users to query data in plain English without needing SQL, Python, or dashboarding skills. This represents a fundamental shift from requiring intermediaries to direct stakeholder access, though the full implications remain speculative.3. Economics Drive AI Architecture Decisions: Token costs and latency requirements are major factors determining AI implementation. Companies like Meta likely need their own models because paying per-token for billions of social media interactions would be economically unfeasible, driving the need for self-hosted solutions.4. One Model Won't Rule Them All: Despite initial hopes for universal models, the reality points toward specialized models for different use cases. This is driven by economics (smaller models for simple tasks), performance requirements (millisecond response times), and industry-specific needs (medical, military terminology).5. Inference is the Commercial Battleground: The majority of commercial AI value lies in inference rather than training. Current GPUs, while specialized for graphics and matrix operations, may still be too general for optimal inference performance, creating opportunities for even more specialized hardware.6. Open Source vs Open Weights Distinction: True open source in AI means access to architecture for debugging and modification, while "open weights" enables fine-tuning and customization. This distinction is crucial for enterprise adoption, as open weights provide the flexibility companies need without starting from scratch.7. Architecture Innovation Faces Expensive Testing Loops: Unlike database optimization where query plans can be easily modified, testing new AI architectures requires expensive retraining cycles costing hundreds of millions of dollars. This creates a potential innovation bottleneck, similar to aerospace industries where testing new designs is prohibitively expensive.

Evan Goldberg, Founder and Executive Vice President at Oracle NetSuite, sits down with Bob Evans for a conversation about the company's next chapter: NetSuite Next. He describes how AI will make business management simpler and more intuitive, allowing users to automate tasks, ask natural-language questions, and customize their systems with ease. Goldberg shares his vision of NetSuite evolving from a cloud pioneer into an AI-first platform built to power the next generation of enterprise growth.Where ERP Thinks BackThe Big Themes:NetSuite Next as a Hands-On AI Partner: NetSuite Next isn't just layering AI on top of old systems, it's embedding intelligence directly into the platform. Instead of hunting through menus, users can say, “Analyze sales for the past six months,” and get an instant, interactive response. The idea is to move from manual navigation to guided collaboration. This shift redefines usability for ERP.Customization and Agentic Flexibility: NetSuite Next extends Oracle's agentic AI vision by letting businesses build custom AI agents that automate unique internal workflows. Goldberg highlights three pillars of NetSuite: the suite's breadth, its deep industry specialization, and its adaptability to each business's unique needs. The AI doesn't erase distinct business models; it amplifies them.Strength in Oracle's Ecosystem: As part of Oracle, NetSuite now sits atop one of the world's most advanced technology stacks. Goldberg credits Oracle Cloud Infrastructure (OCI), the unified data model, and the Redwood design system as key differentiators against rivals. He emphasizes collaboration with Oracle Fusion, OCI, and the database teams as a unique advantage.The Big Quote: “You don't have to dig through lots of menus and understand all of the analytics capabilities… it will be able to quickly bring up an analysis for you, and then you can converse in natural language to hone in on the things that you think are most important."More from Evan Goldberg:Connect with Evan on LinkedIn or learn more about Oracle NetSuite and AI. Visit Cloud Wars for more.

In this episode of Cybersecurity Today, host Jim Love engages in a comprehensive conversation with Krish Banerjee, the Canada Managing Director at Accenture for AI and Data. They delve into the stark difference between perceived and actual preparedness for cybersecurity in the face of growing AI adoption. The discussion spans topics such as the role of AI in enterprise productivity, the need for better data management, and the integration of AI into various business functions. They also explore the importance of digital sovereignty, the challenges and opportunities in Canada's adoption of AI, and how open-source AI can benefit organizations. Krish emphasizes the significance of setting a clear value-driven goal, having the right tools and talent, and the necessity of adopting AI responsibly. The conversation wraps up with insights on how executives can navigate the AI landscape and prepare their organizations for future advancements. 00:00 Introduction to Cybersecurity and AI Concerns 02:10 Interview with Krish Banerjee: AI in Canada 03:17 The Evolution and Impact of AI 06:42 Enterprise AI: Challenges and Opportunities 15:20 Digital Sovereignty and National AI Strategies 25:07 Accelerating Technological Adoption 26:18 Dream Projects in AI 27:49 AI for Healthcare and Commercialization 31:02 The Future of AI and Economic Impact 35:31 Agentic AI: The Next Frontier 41:14 Open Source AI and Democratization 43:23 Advice for Executives and Parents 49:10 Conclusion and Final Thoughts

SAP's Lauren Husum, Vice President of Product Marketing for SaaS ERP, dives into the evolving landscape of ERP systems. Lauren explains why ERP remains the heart of organizations, serving as a critical foundation for innovation rather than becoming obsolete. She highlights three key trends shaping the future of ERP: the integration of AI, the importance of smart data, and the continued evolution of ERP applications. Lauren explains how AI is revolutionizing business processes by enhancing decision-making, boosting operational efficiency, and increasing employee productivity. SAP's approach to AI emphasizes relevance, reliability, and responsibility, ensuring AI solutions are embedded in enterprise applications, trained on extensive business data, and developed with strong ethical standards. She stresses that AI's success depends on high-quality, harmonized data across systems, which ERP platforms uniquely provide. Ultimately, the episode underscores that ERP is not dead but evolving into a powerful enabler of digital transformation. Organizations that leverage ERP combined with AI and smart data will unlock greater agility, efficiency, and growth in the years ahead.

The future of generative AI might very well be agentic workloads. Fresh from Build 2025, we take a look at Agent IDs in Entra ID. What are they, and why would even need to know how they work? What's the difference from Enterprise Applications? We consider compliance, reporting, licensing and other aspects on Agent IDs. (00:00) - Intro and catching up.(04:08) - Show content starts.Show links- Agent IDs announcement from Build 2025- Give us feedback!

At Google Cloud Next 2025, Google Cloud Vice President of Applied AI Duncan Lennox sits down with Bob Evans in part three of our series "Google Cloud and the AI Revolution." They discuss how Google Cloud is redefining enterprise applications through purpose-built AI agents, the shift from incremental to transformational innovation, and how businesses can harness agentic AI to deliver seamless, end-to-end customer experiences at scale.Google Cloud's Agentic RevolutionThe Big Themes:Beyond Infrastructure to Applied AI: Historically, Google Cloud was associated with infrastructure, data analytics, databases, and backend technologies. However, it's now undergoing a transformation, stepping boldly into the realm of applied AI. Rather than just competing with established players in enterprise applications (like ERP, HCM, or CRM), Google Cloud is innovating at a more foundational level by creating entirely new types of agents and applications.The Customer Engagement Suite, A CRM Rethink: Google Cloud's Customer Engagement Suite isn't just an upgrade to traditional contact center software — it's a full reimagining of how businesses engage with customers. Historically, customer service was seen as a cost center: something to be optimized for efficiency and minimized wherever possible. Google Cloud flips that on its head. With the Customer Engagement Suite, the focus shifts toward creating differentiated, high-quality customer experiences that build brand loyalty, satisfaction, and even new revenue streams.Best Adoption Practices: Lennox discusses several best practices for companies looking to succeed with applied AI. First, start somewhere tangible — don't try to "boil the ocean." Select a high-visibility area where AI can solve real problems and produce measurable results. Second, tie your efforts directly to business outcomes, such as customer experience improvements, revenue growth, or operational savings. Third, choose a strategic partner capable of evolving with you as the technology advances.The Big Quote: "Experimentation is great, of course, but what I see more and more as I talk to C-level executives is they now want to be able to deliver ROI, and you have to make some bets. You've got to choose some areas. For us in applied AI, Customer Engagement Suite has been a great one, because it's a problem that C-level execs can understand."Learn More:Check out details about Customer Engagement Suite, and follow Duncan Lennox on LinkedIn.

In this episode of Inside SAP S/4HANA Cloud, host Katharina Klug discusses the innovative SAP Business Data Cloud with SAP experts Rolf Sieberg and Georg Meier. Delve into how SAP Business Data Cloud supports data insights through seamless integration of data platforms and business applications, supporting agility, value chain efficiency, and sustainability. Learn about the collaboration between SAP S/4HANA Cloud and BDC, providing an end-to-end, AI-enabled data solution. Discover how SAP's data products empower decision-makers, and gain insights into the vision for transforming organizations. What topic would you like us to discuss next? Send an email to insides4@sap.com.

Dr. Max Bartolo from Cohere discusses machine learning model development, evaluation, and robustness. Key topics include model reasoning, the DynaBench platform for dynamic benchmarking, data-centric AI development, model training challenges, and the limitations of human feedback mechanisms. The conversation also covers technical aspects like influence functions, model quantization, and the PRISM project.Max Bartolo (Cohere):https://www.maxbartolo.com/https://cohere.com/commandTRANSCRIPT:https://www.dropbox.com/scl/fi/vujxscaffw37pqgb6hpie/MAXB.pdf?rlkey=0oqjxs5u49eqa2m7uaol64lbw&dl=0TOC:1. Model Reasoning and Verification [00:00:00] 1.1 Model Consistency and Reasoning Verification [00:03:25] 1.2 Influence Functions and Distributed Knowledge Analysis [00:10:28] 1.3 AI Application Development and Model Deployment [00:14:24] 1.4 AI Alignment and Human Feedback Limitations2. Evaluation and Bias Assessment [00:20:15] 2.1 Human Evaluation Challenges and Factuality Assessment [00:27:15] 2.2 Cultural and Demographic Influences on Model Behavior [00:32:43] 2.3 Adversarial Examples and Model Robustness3. Benchmarking Systems and Methods [00:41:54] 3.1 DynaBench and Dynamic Benchmarking Approaches [00:50:02] 3.2 Benchmarking Challenges and Alternative Metrics [00:50:33] 3.3 Evolution of Model Benchmarking Methods [00:51:15] 3.4 Hierarchical Capability Testing Framework [00:52:35] 3.5 Benchmark Platforms and Tools4. Model Architecture and Performance [00:55:15] 4.1 Cohere's Model Development Process [01:00:26] 4.2 Model Quantization and Performance Evaluation [01:05:18] 4.3 Reasoning Capabilities and Benchmark Standards [01:08:27] 4.4 Training Progression and Technical Challenges5. Future Directions and Challenges [01:13:48] 5.1 Context Window Evolution and Trade-offs [01:22:47] 5.2 Enterprise Applications and Future ChallengesREFS:[00:03:10] Research at Cohere with Laura Ruis et al., Max Bartolo, Laura Ruis et al.https://cohere.com/research/papers/procedural-knowledge-in-pretraining-drives-reasoning-in-large-language-models-2024-11-20[00:04:15] Influence functions in machine learning, Koh & Lianghttps://arxiv.org/abs/1703.04730[00:08:05] Studying Large Language Model Generalization with Influence Functions, Roger Grosse et al.https://storage.prod.researchhub.com/uploads/papers/2023/08/08/2308.03296.pdf[00:11:10] The LLM ARChitect: Solving ARC-AGI Is A Matter of Perspective, Daniel Franzen, Jan Disselhoff, and David Hartmannhttps://github.com/da-fr/arc-prize-2024/blob/main/the_architects.pdf[00:12:10] Hugging Face model repo for C4AI Command A, Cohere and Cohere For AIhttps://huggingface.co/CohereForAI/c4ai-command-a-03-2025[00:13:30] OpenInterpreterhttps://github.com/KillianLucas/open-interpreter[00:16:15] Human Feedback is not Gold Standard, Tom Hosking, Max Bartolo, Phil Blunsomhttps://arxiv.org/abs/2309.16349[00:27:15] The PRISM Alignment Dataset, Hannah Kirk et al.https://arxiv.org/abs/2404.16019[00:32:50] How adversarial examples arise, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madryhttps://arxiv.org/abs/1905.02175[00:43:00] DynaBench platform paper, Douwe Kiela et al.https://aclanthology.org/2021.naacl-main.324.pdf[00:50:15] Sara Hooker's work on compute limitations, Sara Hookerhttps://arxiv.org/html/2407.05694v1[00:53:25] DataPerf: Community-led benchmark suite, Mazumder et al.https://arxiv.org/abs/2207.10062[01:04:35] DROP, Dheeru Dua et al.https://arxiv.org/abs/1903.00161[01:07:05] GSM8k, Cobbe et al.https://paperswithcode.com/sota/arithmetic-reasoning-on-gsm8k[01:09:30] ARC, François Chollethttps://github.com/fchollet/ARC-AGI[01:15:50] Command A, Coherehttps://cohere.com/blog/command-a[01:22:55] Enterprise search using LLMs, Coherehttps://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers

With all the changes going on in the real estate industry, how can you embrace them and become an effective leader? In this episode, I chat with three leading ladies, Jaynie Atanasoff, Jan Hayse, and Katie Stephans, as they share their stories and how they are embracing these changes. Grab your cafecito and join us to get a fresh perspective on what it means to lead at the highest level. Meet The Leaders Jaynie Atanasoff, Vice President, Shared Success Center, HomeServices of America,  jaynieatanasoff@homeservices.com Jan Hayse, President, Berkshire Hathaway HomeServices Beach Properties of Florida, jan@bpfla.com Katie Stephans, Vice President, Enterprise Applications, HomeServices of America, KatieStephans@homeservices.com Becoming Real Estate Leaders Katie joined the real estate world during one of the worst years, which was in 2008. But thanks to her technology background, she was able to bring fresh ideas into the industry to help businesses grow during that time. Jaynie comes from an HR background, which helped her transition into the real estate industry effectively with a customer service mindset. Also, realizing how important feedback is during change helped her excel in her transition into her new role. Jan joined the real estate industry in 2011 after leaving the banking industry and wanting a professional career that would work around her kids' schedule at that time. Always up for a challenge and networking with others, she was able to get outside her comfort zone to become a real estate agent. Embracing Adversity Jaynie shares her experience of when her mother developed dementia and how it helped her embrace a new perspective of change. Things happened unexpectedly, and there's nothing you can do about it besides adapting and keeping going. Reflecting on this experience allowed her to learn how to handle tough situations professionally and get through them. Katie shares another personal experience of her struggles with infertility. You expect it would be easy to enter motherhood, but for her, it was a ten-year struggle. This showed her you always have to put one foot forward and never give up, no matter how challenging the situation is. Embracing AI technology has not always been easy for Jan, and it was even harder having to help train her team. However, by surrounding herself with other leaders, she was able to embrace the change and help her team out. Creating Space for Life One of the hardest challenges every woman faces, no matter what industry they're in, is balancing work and personal life, especially when working from home. If you're a Type A person, like Katie, she shares how important it is to have boundaries when it comes to spending time with family and friends. Jan shares why a morning routine can help create that “me time” that every woman needs before starting her day. It helps put you in the right mindset to tackle the work tasks at hand. Jaynie likes to be mindful of what is going on at the moment. Also, when work is done, she completely turns the computer off to enjoy fun activities like golf, being with friends, and bowling. Favorite Quotes and Book Recommendations Jan: Favorite Podcast is Feel Better Live More hosted by Dr. Rangan Chatterjee. Her favorite books are Outwitting the Devil and The Wealth Blueprint by Napoleon Hill. Favorite quote “Wherever you go, there you are.”  Janie: Favorite audiobooks are Let Them Theory by Mel Robbins and The Women by Kristin Hannah. Her favorite quote is “She believed she could, so she did.”  Katie: Favorite quote “just progress over perfection.” She shares how by showing up means you're moving forward toward your goals no matter what is going on in your life. When you help another woman rise, we all shine. And that's how we make an impact. So, let's build each other up and shine brighter than the sun. For more great content from Teresa, connect with her on LinkedIn, join her Women Who Lead Series on Facebook, and subscribe to her YouTube channel. You can find more episodes of Women Who Lead on Spotify, Apple Podcasts, and anywhere else podcasts can be found. This episode is brought to you in part by Venus et Fleur. Are you looking for a great way to show appreciation to family, friends, or even customers? Give them a floral arrangement they won't forget anytime soon. These beautiful arrangements make the perfect closing gift for any realtor to stay top of mind. Visit venusetfleur.com and use code “hsoa20” when ordering for 20% off.

In this video, two hospital managers present an extended and intriguing view of major design changes that bring in state-of-the-art technology making sure that it "fades into the background" while clinical care takes the focus. Kara Tomlinson is Executive Director of System Care Delivery and Innovation and Ron Carson is Executive Director of Enterprise Applications at Nebraska Medicine. They have not let the age of their building—more than 50 years old—or the presence of legacy technologies keep them from dreaming big and "redefining what the hospital of the future means." One major example is replacing the dry erase board that is the focus of so many wards with a digital board from eVideon called Vibe Health. Although easy to use, the old boards limited efficiency and accuracy, were prone to human error, and—most important—weren't integrate with other systems. Learn more about Nebraska Medicine: https://www.nebraskamed.com/ Learn more about eVideon: https://www.evideon.com/

In this episode, Carlos Gonzalez de Villaumbrosia interviews Anthony Maggio, Vice President of Product at Airtable.Airtable, founded 12 years ago, has evolved from a user-friendly spreadsheet alternative to a robust enterprise-grade application development platform. The company has raised $1.35 billion in funding and achieved a valuation of $11 billion. Airtable now serves over 500,000 organizations, including half of the Fortune 500 companies.As VP of Product at Airtable, Anthony leads the product management organization, focusing on creating powerful, intuitive solutions that enhance user experience and meet customer needs. He played a pivotal role in developing Airtable Cobuilder, a groundbreaking AI-powered tool that allows users to create custom applications quickly and easily.In this episode, we explore Airtable's transition from a consumer product to an enterprise platform, the integration of AI in product development, and the launch of ProductCentral—a solution unifying the entire product development process. We also discuss why product teams are becoming more accountable for revenue and how Airtable connects Product-Led Growth with Sales-Led Growth for enterprise customers.What you'll learn:- Anthony's approach to scaling Airtable from a consumer product to an enterprise platform.- How Airtable Cobuilder revolutionizes application creation using AI.- Strategies for making product teams accountable for revenue.- The integration of AI into Airtable's product development process.- How Airtable balances Product-Led Growth with Sales-Led Growth for enterprise customers.Key Takeaways

In this special episode of the Identity at the Center podcast, recorded live from the SailPoint Navigate 2024 conference in Orlando, hosts Jeff and Jim engage with Andrew Moore, VP of Product Management at SailPoint. The conversation spans a variety of critical themes, including the management of identity platforms, product development, and the importance of customer feedback. Andrew details his career journey, including his transition from Under Armour to SailPoint, and shares insights into the development of connected products, data-driven design, and user experience enhancements. The episode also introduces the latest innovations, such as Privileged Task Automation and Machine Identity Security, emphasizing their potential to address productivity and security risks. Furthermore, the speakers discuss the transformative role of AI in Identity Governance and Administration (IGA), highlighting the importance of explainable AI and maintaining strong security standards. This episode is a deep dive into the dynamic landscape of identity governance and the strategies driving continuous innovation. 00:00 Welcome to the Identity at the Center Podcast 01:55 Conference Insights and Future Plans 03:38 Introducing Andrew Moore 03:52 Andrew Moore's Journey into Identity 06:48 Product Management at SailPoint 16:48 Innovative Projects and Customer Feedback 23:17 Exploring Low Code and No Code Identity Automations 23:53 Understanding Customer Feedback and Research Techniques 24:41 Balancing Positive and Negative Feedback 00:24 Dealing with Critical Feedback 29:34 Announcing the Product Roadmap 30:37 Privileged Task Automation: A Game Changer 39:11 Machine Identity Security: New Innovations 42:33 The Future of AI in Identity Governance 47:12 Addressing Concerns About AI in IGA 50:40 Conclusion and Final Thoughts Connect with Andrew: https://www.linkedin.com/in/richardandrewmoore/ Learn more about SailPoint: https://www.sailpoint.com/ SailPoint Navigate 2024 London - Use code IDAC for a £300 discount - https://www.sailpoint.com/navigate/london Semperis' Hybrid Identity Protection Conference (HIP Conf) - Use code IDACpod for 20% off: https://www.hipconf.com/ Gartner IAM Summit - Save $375 on registration using our exclusive code IDAC375: https://www.gartner.com/en/conferences/na/identity-access-management-us Connect with us on LinkedIn: Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/ Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/ Visit the show on the web at http://idacpodcast.com

In this episode of Building Globally: Lessons in Enterprise Product Growth, host Adam Stead is joined by Dimitris Sotiriou, Director of AI Product Management at Twilio. They discuss the challenges and considerations in rolling out AI capabilities in enterprise applications, focusing on the journey from prototype to production, data readiness, and building trust and security.

This episode features Cisco Sanchez, SVP and CIO at Qualcomm, who shares his business-first philosophy to technology cultivated over 25 years of IT experience. Sanchez emphasizes the importance of IT professionals loving both technology and the business, creating roadmaps that align with business goals, and utilizing frameworks like Charlie Feld's approach. About Cisco:Cisco Sanchez is Senior Vice President and Chief Information Officer for Qualcomm Incorporated. As the leader of Qualcomm's global IT organization, Cisco is responsible for leading the strategic direction for IT infrastructure, Information Security & Risk Management, Cyber Resiliency, Enterprise Applications, and End User Productivity solutions. Cisco is also responsible for driving large scale Pre-Silicon, Post Silicon and Enterprise-wide digital transformation initiatives improving Qualcomm's agility, leverage, efficiency and security. He collaborates with the executive and business unit leadership and focuses on enabling forward-looking innovative technology solutions to achieve Qualcomm's vision and deliver strategic value.Sanchez has more than 24 years of engineering and IT experience. Prior to Qualcomm, Sanchez spent over 15 years at FedEx Ground company. At FedEx Ground, Sanchez served as the SVP & CIO after having worked his way up the ranks, gaining expertise in architecture design, acquisition integration and enterprise IT systems. Throughout his career, Cisco has led many initiatives to ready FedEx for the next generation of business needs, processes, and data resources, including system upgrades, data center migrations, cyber security management and data analytics ecosystem development, to name a few. Cisco holds a bachelor's degree in computer science from Colorado State University and a master's degree in management information systems from Colorado Technical University.Guest Quote:"We love technology. I love technology. I'm a developer, but we should also love the business and understand it thoroughly. So when I first came in, my goal was to not make drastic changes, but understand the business to the best ability possible. I use a framework that looks at the models and try to understand, here's what the business does, here's how it does it, the technology underneath, here's how the enablement activity works. And I think by doing that, it gives you a different, deeper perspective of how the business is interacting and what they do.”Timestamps:*(03:30) - The Role of AI in Modern IT*(09:10) - Frameworks for Business-First IT*(17:50) - Selling the Vision*(18:50) - AI Innovations at Qualcomm*(23:30) - The Convergence of IoT and AILinks:Connect with Ian Faison and Cisco Sanchez on LinkedInLearn more about QualcommReady for more conversations about strategic leadership in AI, automation, and orchestration? Check out The New Automation Mindset Podcast by Workato.

In the episode 94 of the XTrawAI podcast, host Raghu Banda engages in a fascinating discussion with Manjeet Singh, a seasoned expert in AI-driven transformations and enterprise applications. The conversation dives deep into how Artificial Intelligence (AI) and Generative AI (Gen AI) are transforming enterprise applications, pushing the boundaries of innovation, efficiency, and business value. Tune in to learn more about: Leveraging AI for business growth The Role of Gen AI in enterprise innovation How fitness is important in the mix of things You can reach @ Manjeet Singh My linkedIn @ Raghu Banda Our website @ XTraw AI

Get a closer look at the dynamic IT landscape of a leading fashion brand! Host Trevor Sumner sits down with Juliette Arnaud, Global Director of Enterprise Applications at Supreme, to explore the brand's journey and the intricacies of managing IT for a cultural phenomenon. Join us to hear Juliette's views on balancing Supreme's unique brand identity with technological advancements and what lies ahead for fashion. Key Insights: - Brand Integrity and IT: Understand how Supreme maintains its brand image while integrating new technologies and processes. - Smart Growth: Discover Supreme's approach to expanding into new markets with a focused strategy. - ERP Implementation: Learn about the challenges and triumphs of implementing an ERP system in a rapidly growing brand. Ready to join the GRL community? Nominate yourself or another retail executive to join the community today: http://www.globalretailleaders.com

In this episode of Enterprising Insights, Futurum Group Enterprise Applications Research Director Keith Kirkpatrick discusses the recent quarterly earnings from several enterprise application vendors and provides his take on how their results are reflective of some of the larger trends in the marketplace. Then, as always, he addresses his Rant or Rave of the week.  

Ready for more ideas about UX for AI and LLM applications in enterprise environments? In part 2 of my topic on UX considerations for LLMs, I explore how an LLM might be used for a fictitious use case at an insurance company—specifically, to help internal tools teams to get rapid access to primary qualitative user research. (Yes, it's a little “meta”, and I'm also trying to nudge you with this hypothetical example—no secret!) ;-) My goal with these episodes is to share questions you might want to ask yourself such that any use of an LLM is actually contributing to a positive UX outcome  Join me as I cover the implications for design, the importance of foundational data quality, the balance between creative inspiration and factual accuracy, and the never-ending discussion of how we might handle hallucinations and errors posing as “facts”—all with a UX angle. At the end, I also share a personal story where I used an LLM to help me do some shopping for my favorite product: TRIP INSURANCE! (NOT!)      Highlights/ Skip to: (1:05) I introduce a hypothetical  internal LLM tool and what the goal of the tool is for the team who would use it  (5:31) Improving access to primary research findings for better UX  (10:19) What “quality data” means in a UX context (12:18) When LLM accuracy maybe doesn't matter as much (14:03) How AI and LLMs are opening the door for fresh visioning work (15:38) Brian's overall take on LLMs inside enterprise software as of right now (18:56) Final thoughts on UX design for LLMs, particularly in the enterprise (20:25) My inspiration for these 2 episodes—and how I had to use ChatGPT to help me complete a purchase on a website that could have integrated this capability right into their website     Quotes from Today's Episode “If we accept that the goal of most product and user experience research is to accelerate the production of quality services, products, and experiences, the question is whether or not using an LLM for these types of questions is moving the needle in that direction at all. And secondly, are the potential downsides like hallucinations and occasional fabricated findings, is that all worth it? So, this is a design for AI problem.” - Brian T. O'Neill (8:09) “What's in our data? Can the right people change it when the LLM is wrong? The data product managers and AI leaders reading this or listening know that the not-so-secret path to the best AI is in the foundational data that the models are trained on. But what does the word *quality* mean from a product standpoint and a risk reduction one, as seen from an end-users' perspective? Somebody who's trying to get work done? This is a different type of quality measurement.” - Brian T. O'Neill (10:40) “When we think about fact retrieval use cases in particular, how easily can product teams—internal or otherwise—and end-users understand the confidence of responses? When responses are wrong, how easily, if at all, can users and product teams update the model's responses? Errors in large language models may be a significant design consideration when we design probabilistic solutions, and we no longer control what exactly our products and software are going to show to users. If bad UX can include leading people down the wrong path unknowingly, then AI is kind of like the team on the other side of the tug of war that we're playing.” - Brian T. O'Neill (11:22) “As somebody who writes a lot for my consulting business, and composes music in another, one of the hardest parts for creators can be the zero-to-one problem of getting started—the blank page—and this is a place where I think LLMs have great potential. But it also means we need to do the proper research to understand our audience, and when or where they're doing truly generative or creative work—such that we can take a generative UX to the next level that goes beyond delivering banal and obviously derivative content.” - Brian T. O'Neill (13:31) “One thing I actually like about the hype, investment, and excitement around GenAI and LLMs in the enterprise is that there is an opportunity for organizations here to do some fresh visioning work. And this is a place that designers and user experience professionals can help data teams as we bring design into the AI space.” - Brian T. O'Neill (14:04) “If there was ever a time to do some new visioning work, I think now is one of those times. However, we need highly skilled design leaders to help facilitate this in order for this to be effective. Part of that skill is knowing who to include in exercises like this, and my perspective, one of those people, for sure, should be somebody who understands the data science side as well, not just the engineering perspective. And as I posited in my seminar that I teach, the AI and analytical data product teams probably need a fourth member. It's a quartet and not a trio. And that quartet includes a data expert, as well as that engineering lead.” - Brian T. O'Neill (14:38)     Links Perplexity.ai: https://perplexity.ai  Ideaflow: https://www.amazon.com/Ideaflow-Only-Business-Metric-Matters/dp/0593420586  My article that inspired this episode

Let's talk about design for AI (which more and more, I'm agreeing means GenAI to those outside the data space). The hype around GenAI and LLMs—particularly as it relates to dropping these in as features into a software application or product—seems to me, at this time, to largely be driven by FOMO rather than real value. In this “part 1” episode, I look at the importance of solid user experience design and outcome-oriented thinking when deploying LLMs into enterprise products. Challenges with immature AI UIs, the role of context, the constant game of understanding what accuracy means (and how much this matters), and the potential impact on human workers are also examined. Through a hypothetical scenario, I illustrate the complexities of using LLMs in practical applications, stressing the need for careful consideration of benchmarks and the acceptance of GenAI's risks.      I also want to note that LLMs are a very immature space in terms of UI/UX design—even if the foundation models continue to mature at a rapid pace. As such, this episode is more about the questions and mindset I would be considering when integrating LLMs into enterprise software more than a suggestion of “best practices.”      Highlights/ Skip to: (1:15) Currently, many LLM feature  initiatives seem to mostly driven by FOMO  (2:45) UX Considerations for LLM-enhanced enterprise applications  (5:14) Challenges with LLM UIs / user interfaces (7:24) Measuring improvement in UX outcomes with LLMs (10:36) Accuracy in LLMs and its relevance in enterprise software  (11:28) Illustrating key consideration for implementing an LLM-based feature (19:00) Leadership and context in AI deployment (19:27) Determining UX benchmarks for using LLMs (20:14) The dynamic nature of LLM hallucinations and how we design for the unknown (21:16) Closing thoughts on Part 1 of designing for AI and LLMs     Quotes from Today's Episode “While many product teams continue to race to deploy some sort of GenAI and especially LLMs into their products—particularly this is in the tech sector for commercial software companies—the general sense I'm getting is that this is still more about FOMO than anything else.” - Brian T. O'Neill (2:07) “No matter what the technology is, a good user experience design foundation starts with not doing any harm, and hopefully going beyond usable to be delightful. And adding LLM capabilities into a solution is really no different. So, we still need to have outcome-oriented thinking on both our product and design teams when deploying LLM capabilities into a solution. This is a cornerstone of good product work.” - Brian T. O'Neill (3:03) “So, challenges with LLM UIs and UXs, right, user interfaces and experiences, the most obvious challenge to me right now with large language model interfaces is that while we've given users tremendous flexibility in the form of a Google search-like interface, we've also in many cases, limited the UX of these interactions to a text conversation with a machine. We're back to the CLI in some ways.” - Brian T. O'Neill (5:14) “Before and after we insert an LLM into a user's workflow, we need to know what an improvement in their life or work actually means.”- Brian T. O'Neill (7:24) "If it would take the machine a few seconds to process a result versus what might take a day for a worker, what's the role and purpose of that worker going forward? I think these are all considerations that need to be made, particularly if you're concerned about adoption, which a lot of data product leaders are." - Brian T. O'Neill (10:17) “So, there's no right or wrong answer here. These are all range questions, and they're leadership questions, and context really matters. They are important to ask, particularly when we have this risk of reacting to incorrect information that looks plausible and believable because of how these LLMs tend to respond to us with a positive sheen much of the time.” - Brian T. O'Neill (19:00)   Links View Part 1 of my article on UI/UX design considerations for LLMs in enterprise applications:  https://designingforanalytics.com/resources/ui-ux-design-for-enterprise-llms-use-cases-and-considerations-for-data-and-product-leaders-in-2024-part-1/

Welcome to Supernatural Junkies! In this episode, Super Alex, Dr. Kevin, Dr. O'Hara and Dr. Dozier are joined by Kevin McGarry, founder of Every Black Lives Matter and author of several Christian books. The team discusses the importance of forgiveness and breaking free from the chains of division within the church and society. Kevin shares his journey from a tumultuous upbringing in San Francisco's Hunter's Point projects to becoming a devoted Christian and community leader. He emphasizes the crucial role of family, particularly fathers, in the well-being of the Black community. The conversation delves into the harmful impacts of Marxism, Black liberation theology, and critical race theory, and how they diverge from true Christian teachings. The episode also explores the significance of forgiveness in healing personal and societal wounds. Kevin McGarry highlights the necessity of forgiving others to truly embrace one's new identity in Christ. The team discusses the upcoming conference aimed at educating and unifying believers to stand against modern-day deceptions and to foster genuine discipleship. Tune in for an enlightening discussion that challenges conventional narratives and encourages a return to Biblical principles for personal and communal transformation. About Our Guest Kevin McGary Kevin McGary is an entrepreneur, author, and public speaker. In the arena of civic engagement, Kevin serves as Chairman of the Frederick Douglass Foundation of California and is an executive with the Douglass Leadership Institute and the Northstar Leadership Pac. Kevin has worked for the past 35 years in Information Technology as a sales and management professional. He has been designated a “Top Performer” throughout his sales career in the arenas of Cybersecurity, Enterprise Applications, Application Development Automation, and Enterprise Job Scheduling/Utilities. In addition, he has entrepreneurial skills as he has started and participated in several “start-ups!” Kevin leads a collection of pro-active individuals committed to developing innovative and new approaches to today's socio/political issues. With the assistance of elected officials and a myriad of community activists, he lectures and provides workshops about today's most perplexing problems. Over the past decade, Kevin has lead teams of individuals committed to developing innovative approaches to today's socio/political issues, and with the assistance of elected officials and myriad of community activists, he lectures and provides workshops about how to combat today's most perplexing socio/cultural issues. In 2020, Kevin founded Every Black Life Matters (EBLM) EBLM is designed to counteract the emerging violence and systemic poverty in under-served, mostly Black urban communities. EBLM is seen as a “moral-based" & “Faith-based” alternative to Black Lives Matter.https://everyblm.com/about/ Get Your Gear! Did you know that the Supernatural Junkies are now available in all our favorite apparel?  Because you can now get T-shirts, mugs, pillows, and workout pants with your favorite junkie!   Just go to https://www.redbubble.com/i/sticker/Alex-from-supernatural-junkies-podcast-by-Supernatjunk/156180834.QK27K, and pick out your favorite! Follow Us On Our Rumble Channel Please find us on Rumble at: https://rumble.com/c/c-6078318 Don't Forget To Subscribe Keep up with Supernatural Junkies by subscribing to our podcast at: http://supernaturaljunkies.com/podcast/  Why You Should Consider Taking Protandim If you are curious about Protandim and would like to know why we recommend it to all our listeners, please click this link:  https://rumble.com/v4yexfw-why-you-should-consider-taking-protandim.html. If you prefer to speak to someone or have questions, please call Daniel Bernard at (727)421-4132. Dr. Kevan's Newest Books Why Did I Say That? - How God Can Rewrite the Story of Your Life is available in Kindle, paperback, and audio formats at supernaturaljunkies.com or https://www.amazon.com/Why-Did-Say-That-Rewrite/dp/B0CTKZLP26/ref=sr_1_5?crid=361HFBF07I0YB&dib=eyJ2IjoiMSJ9.sUZWFSuhom9VpKr3oQFeJoBVQiqklwFcWMRxBG2jRr_G3ojihgJ6WkOIQLCbPyuhCl47m0nBwoZA9bdcn3mxDp59okikwE3EZIxxACcgImJoSjN9vrRrlfMudVFLiHt6EZDgPlXnKOHVwM1PKndueNHW-4cTbj4_U6q39hif45_SYGDbOAFdhTwhTwG2YKtrB4xGefnZFyLdyQCBlCEo4vTxxLnOLD4aVjYaCcNiwvo.0nUWLG10Metlv2VRfqSljt7th4S5iAEWuZDXW2rTbj4&dib_tag=se&keywords=why+did+i+say+that+book&qid=1717513395&sprefix=why+did+i+say+that%2Caps%2C131&sr=8-5 The Covid Beast - Why We Cannot Give Up Access To Our Bodies is available in Kindle, paperback, and audio formats at supernaturaljunkies.com or https://www.amazon.com/Covid-Beast-Cannot-Access-Bodies/dp/B09TG5PV1D/ref=sr_1_2?crid=216N90D2BY47Q&dib=eyJ2IjoiMSJ9.zfDUZ5oS2zpR-KJq_OWmQiAH6Y_tr2LWZtzUafJbHPDGjHj071QN20LucGBJIEps.qwUUqA4ixACuIfCTeH1_fJ4b4bE1e1MRLjYS0Kwlcl0&dib_tag=se&keywords=covid+beast+book&qid=1717513507&s=audible&sprefix=covid+beast+book%2Caudible%2C118&sr=1-2.    

Jimmy Hillis, Head of Engineering at Airtable, shares examples, guidance and major themes for how businesses can successfully build and leverage AI within their enterprise applications and workflows.Topics Include:Introductions and Airtable overviewChallenges businesses have articulating how AI will add valueCore insights: AI needs to leverage your own dataAI functionality needs to live within existing tools and workflowsHave workflow and business experts building prompts for the desired functionAI presents a new set of fears and restrictionsExamples for successful implementation of AIAirtable AI field examples and automations featureExample of leveraging technology to reduce manual activityData governance, training data for useNetwork governance and FlexibilityRecapping the themes, session wrap up

Version 1, a leader in digital transformation, has announced it has worked with Iarnród Éireann (Irish Rail) to drive and support a major business transformation journey, modernising its human resources systems and in turn supporting critical business objectives. The successful delivery of the project has signposted a transformative era for the rail operator, redefining the organisational culture and operational efficiency of the business as well as the future of rail service in Ireland. Iarnród Éireann provides passenger and freight rail services across Ireland, as well as jointly operating the Dublin to Belfast Enterprise services with Northern Ireland Railways and operates Rosslare Europort. Version 1 partnered with Iarnród Éireann, not just in the delivery of a new Cloud HCM solution, but also in preparing the organisation for the transformation of its HR services and supporting the significant change management programme. The success of the project has completely transformed Iarnród Éireann's HR system, streamlining processes and reducing administrative tasks while at the same time propelling its employer brand into one that is recognised as a leading benchmark for employee engagement and satisfaction, talent management, learning and development and the critical help desk support. John Kennedy, Head of HR Organisational Development at Iarnród Éireann said "We needed a partner that could understand our approach and delivery methods. This is a key deliverable for us, so we needed to bring people on the journey with us. We knew that delivery is through people and change affects people differently, so a key decisive factor for us was the profile of the supplier. "Version 1 of course demonstrated all the technical capability required but more importantly, it could offer the strategic understanding and competencies in the business transformation element. The core values of both organisations married perfectlyand the discussions we had with Version 1 really helped us in delivering the total programme successfully." Colm Gillard, Managing Director, Enterprise Applications at Version 1 added "When we set out to help Iarnród Éireann and first had discussions, we understood immediately that people are at the heart of what they do. Moving thousands of people every day and being at the centre of the Irish economy from a freight and infrastructure point of view, it was imperative that any system we designed had to be human-centric. "We were extremely proud to be selected to work with them and one of the most rewarding impacts that we've seen has been the improvement in staff motivation and engagement. This transformation positions them at the leading edge of public service, very well-equipped to shape and define the future of rail transport in Ireland." See more stories here.

Ryan Walicki of Relish talks about why enterprise solutions rarely cover all bases; the rise of AI; & the importance of collaboration & customer experience. IN THIS EPISODE WE DISCUSS:   [07.28] The story behind the brand name Relish. “While I'm more of a mustard and ketchup guy personally (!), Relish just really stood out to us – a word that can create certain emotions.” [09.02] Ryan's background, his love of procurement, and his journey to co-founding Relish. “I fell in love with it… I watched the perception of procurement go from ‘people who buy stuff' to a strategic function, from analytics and sourcing all the way through invoicing and payment.” [11.53] An overview of Relish – who they are, what they do, and how they help their customers. “We're trying to meet users where they are. A lot of users have succumbed to “I'll just create a workaround” or “Excel can do that for me”… Enough of that!! You should expect more, you should demand more from your enterprise software.” [15.37] The ideal client for Relish. [16.45] Ryan's perspective on why enterprise solutions rarely meet all requirements; the biggest enterprise software challenges; and how those challenges have been compounded by the industry changes we've seen over the last few years. “These solutions are presented as ‘It'll do everything you want – and cut your grass!' The customer takes that at face value, builds a business case, builds an ROI case – and they never meet it.” [20.37] How Relish is working to simplify processes, extend solutions, and bridge gaps in order to complement and enhance enterprise software. “5% of business revenue is lost due to fraudulent activity... there's too many workarounds and stale processes out there… But there's an end to this story that's a lot more positive, automated, safe, and economic than Excel workbooks.” [25.02] Why Relish is so passionate about collaboration, partnering with some of the industry's biggest names to create ecosystems that drive success for everyone. [27.18] The rapid evolution of AI, and how Relish uses it to help clients streamline and enhance their processes. “There are a lot of folks that present themselves as AI experts. But this is so new, it's moving so fast – there are no experts!” [31.47] Customer experience, and the importance of creating an effective chain of solutions for your customer, and your customer's customer. “One of the most frequent phone calls finance gets is from suppliers asking: “When am I going to get paid?” [35.34] A case study showing how Relish helped a global financial institution to solve its invoice challenges, increasing automation from 24% to over 95%, streamlining its source-to-pay process, and boosting its visibility and process speed. “We felt like the root of all evil is in master data inefficiency, and so if we built a platform that had the capability to go after that core problem, we could manifest those as applications in invoicing, supplier, and automation.” [39.25] Ryan's hockey team, and whether or not they'll be making the finals! [41.23] What the future holds for Relish, and for the industry. “The time between point A and point B keeps getting shorter because innovation is happening fast… We're outgrowing applications very quickly.” RESOURCES AND LINKS MENTIONED:   Head over to Relish's website now to find out more, and discover how they could help you too. You can also connect with Relish and keep up to date with the latest over on LinkedIn, YouTube and X (Twitter), or you can connect with Ryan on LinkedIn. If you enjoyed this conversation and want to hear more about procurement, check out The Three Biggest Challenges For Procurement – And What To Do About Them, Women In Supply Chain™: Procurement Leader, Stephany Lapierre on Using Supplier Data to Empower a More Connected, Diverse Supply Chain or 243: Reinventing Freight Procurement with Emerge.

Are enterprises ready to harness the full potential of generative AI in application modernization? In today's episode of Tech Talks Daily, we dive deep with Kyle Charlet, IBM Fellow and CTO for IBM Z Software, exploring the transformative impact of AI on hybrid cloud strategies and legacy systems. Kyle provides expert insights into how application modernization is crucial for executing successful hybrid cloud strategies, with generative AI playing a critical role in this evolution. He discusses the benefits of AI in translating outdated code from languages like COBOL to more contemporary languages such as Java, enhancing developer productivity, and ensuring business agility. With IBM's comprehensive lifecycle approach, Kyle outlines how organizations are not just rewriting, but intelligently enhancing their existing assets for future-proof platforms. We also cover the significant challenges that come with modernization, such as understanding complex, monolithic legacy applications developed over decades. Kyle explains how generative AI serves as a tool to demystify these systems, assisting in generating test cases, synthetic data, and highlighting potential security vulnerabilities that need addressing from the outset. The conversation shifts to the impact on IT roles and skills, emphasizing the increasing importance of testing, security, and integration competencies. Kyle points out that developers will need to adapt rapidly to interpret AI-generated code and focus more on application architecture and less on building from scratch. Looking ahead, Kyle speaks on the expectations for faster innovation cycles and more interconnected systems across hybrid environments. He stresses the need for Ops teams to prepare for managing this complexity and the optimization of DevSecOps pipelines to stay competitive. Join us as we explore how generative AI is reshaping the landscape of application modernization and what this means for the future of enterprise IT. After the episode, we invite you to share your thoughts: How do you see generative AI influencing your industry's approach to modernization and hybrid cloud strategies?

FULL SHOW NOTES https://podcast.nz365guy.com/543 Embark on a journey with Devendra and me as we unravel the intricacies of Power Platform governance and strategy, a topic that's not only professional but also personal. Devendra, the Power Platform architect with a passion for cricket and Indian vegetarian cuisine, has leaped from Accenture to Rio Tinto, bringing stories that merge life's flavors with technological expertise. Together, we explore the depth of the Power Platform, far beyond the simplicity of its low-code/no-code facade, and dive into the nuances of crafting impactful enterprise applications. You'll hear how Devendra's own transition to Perth mirrors the transformative processes businesses undergo with the Power Platform, making this episode a blend of heartfelt narratives and tech-savvy wisdom.Get ready to challenge your understanding of premium licensing within the Power Platform as we tackle the E3 and E5 models, the strategic shift to Dataverse, and the long-term value it can bring to your organization. It's not just about costs; it's about building a powerhouse of productivity that stands the test of time. Hear firsthand the strategies for inspiring a vibrant maker community, discover how to navigate the complex security of Dataverse, and learn why proactive digital transformation, even in remote settings, is essential for modern businesses. We wrap up by examining the delicate dance of app support, where operational improvements hang in the balance – a conversation that promises as much value for your business as it does intrigue for your mind.AgileXRM AgileXRm - The integrated BPM for Microsoft Power Platform 90 Day Mentoring Challenge April 1st 2024https://ako.nz365guy.comUse the code PODCAST at checkout for a 10% discount Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this episode of The Futurum Tech Webcast, Saso Ivanovski, CTO of Semos Cloud joins host Keith Kirkpatrick, Research Director, Enterprise Applications at The Futurum Group to discuss the technological advances in HR Tech and the evolution of employee experience. The pair also cover issues around HR tech integration, data security, and privacy, and unravel the significance of Culture Intelligence in shaping the future of HR landscapes.

It's YOUR time to #EdUp In this episode, recorded in person at the ⁠Ellucian Live 2024⁠ Conference in San Antonio, Texas, #elive24, YOUR guest is ⁠John Leever, Executive Director of Enterprise Applications, National Louis University YOUR host is ⁠Dr. Joe Sallustio⁠  Listen in to #EdUp! Thank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp! Connect with YOUR EdUp Team - ⁠Elvin Freytes⁠ & ⁠Dr. Joe Sallustio⁠ ● Join YOUR EdUp community at ⁠The EdUp Experience⁠! We make education YOUR business! --- Send in a voice message: https://podcasters.spotify.com/pod/show/edup/message

In this episode of Infrastructure Matters – Insider Edition, host Steven Dickens is joined by Ed Airey, VP of Marketing at AveriSource for a conversation on how AveriSource is helping organizations gain more insights and knowledge about their applications, empowering them to be able to modernize.  Key topics include: An introduction from Ed Airey on his role at AveriSource An overview of AveriSource and the AveriSource platform which consists of five main products: Scan, Inventory, Discover, Analyze, and Transform, to help with application understanding and modernization The importance for organizations to understand their applications The role of AI in modernization  

In this Microsoft Cloud Executive Enablement Series episode, host Amy Boyle, Director of Global Partner Enablement, GSI at Microsoft, is joined by Naga Surendran, Director of Product Marketing for Microsoft Azure. Amy and Naga discuss the importance of developer success and highlight the success of GitHub Copilot, a tool that enables developers to code up to 55% faster. Naga explains strategic approaches for building, modernizing, and migrating intelligent apps to the Cloud, focusing on maximizing opportunities for clients and partners. The conversation covers topics such as the evolving role of AI in daily lives and workplaces, responsible AI practices, and Microsoft's principles for creating AI responsibly. In This Episode You Will Learn:Helping businesses enable the development of new AI-powered applications Improve feature development velocity with AI-based developer tools Opportunities with existing apps, legacy apps, and the role of Azure Integration Services Some Questions We Ask: How do you see Microsoft driving success with AI in the coming fiscal year? Can you talk about the opportunity to build intelligent apps? What key benefits can Microsoft partners and customers get from Azure offerings? Resources:View Naga Surendran on LinkedInView Amy Boyle on LinkedInWatch the full video episode on YouTubeDiscover and follow other Microsoft podcasts at microsoft.com/podcastsDownload the Transcript Hosted on Acast. See acast.com/privacy for more information.

In this end-of-year podcast of TechFirst for 2023, host John Koetsier explores the future trajectory of Virtual Reality (VR) technology, especially its potential in 2024. The podcast features Rolf Illenberger, founder & CEO of VR Direct, who believes that 2024 will be a critical inflection point for VR with wide-scale adoption, particularly in enterprises. There is notable discussion on different VR headsets including the Meta Quest Pro, Quest Three, and the upcoming Apple Vision Pro, as well as the role of AI in VR. The conversation also dives into the challenges and opportunities VR presents for both the consumer and enterprise markets, with an emphasis on the need for intuitive user interfaces and valuable use-cases. The podcast concludes with Rolf's prediction that by the end of 2024, it would be vital for every enterprise to have a VR strategy. 00:00 Introduction and Welcome 00:07 Discussion on VR Trends and Predictions for 2024 00:45 Interview with Rolf Dillenberger, CEO of VR Direct 01:12 The Host's Personal Experience with VR 01:44 The Future of VR: An Inflection Point 02:48 Enterprise Applications of VR 04:51 The Impact of Work from Home Trends on VR 06:24 The Role of Apple Vision Pro in VR 20:58 The Intersection of VR and AI 21:52 The Inflection Point for VR in 2024 26:36 Conclusion and Farewell

In this episode of the Futurum Tech Webcast, Ahgora's Thiago Quadros, CTO, and Angelo Frigeri, Data Team Lead, join host Keith Kirkpatrick Research Director, Enterprise Applications at The Futurum Group, to discuss the benefits of applying analytics and AI to human resources data, the potential impact of AI on work and workers, and the need for transparency around how AI is used to guide decision making around HR and people management. Learn more about Ahgora on the company's website.

In this episode of the Futurum Tech Webcast, Philipp Robbes, Sales Manager with Centric, joins host Keith Kirkpatrick, Research Director, Enterprise Applications at The Futurum Group, for a conversation about human resources processes, focusing specifically on the changing landscape of the human resources function over time, and the increasing need to fully digitize HR document processes. We also discussed how Centric solutions can be used to augment platforms such as SAP SuccessFactors to deliver a comprehensive digitization solution for all types of critical HR documents.

In this episode of the Futurum Tech Webcast, Serrala's Rob Jackson, Principal Solutions Architect, and Jason Boyer, Jason Boyle, Chief Customer Success Officer at Neev, join host Keith Kirkpatrick Research Director, Enterprise Applications at The Futurum Group, to discuss the steps organizations should take to migrate their data to SAP's S/4HANA. The conversation focused specifically on developing a strategy based on whether a greenfield or brownfield migration is being conducted, the use of migration program checklists and data archiving strategies, and discussion on the available tools from Serrala to handle data archiving and migration.

In this episode of Enterprising Insights, host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, discusses the topic of tech stack sprawl, focusing specifically on the proliferation of multiple enterprise applications within an organization. He covers the conditions that lead to sprawl, the risks and drawbacks of acquiring and implementing a wide range of applications, and highlights the offerings from vendors that are designed to reduce or eliminate sprawl. He also covers some recent news and newsmakers in the customer experience software market. Finally, he'll close out the show with the “Rant or Rave” segment, where he picks one item in the market, and he'll either champion or criticize it.

In this episode of Enterprising Insights, Sherril Hanson, Senior Analyst at The Futurum Group, joins host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, for a conversation about leveraging technology platforms to deliver excellent customer experiences, focusing specifically on contact center as-a-service offerings, the importance of omnichannel engagement capabilities, mobile applications, and generative AI. We'll also cover some recent news and newsmakers in the customer experience software market. Finally, we'll close out the show with our “Rant or Rave” segment, where we pick one item in the market, and we'll either champion or criticize it. You can watch the video here and subscribe to our YouTube channel if you've not yet done so.

In this episode of Enterprising Insights, Krista Macomber, Senior Analyst at The Futurum Group, joins host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, for a conversation about enterprise cybersecurity, focusing on the current threats to organizations, how AI is changing the threat landscape, and best practices for organizations to harden their defenses. We'll also cover some recent news and newsmakers in the enterprise software market. Finally, we'll close out the show with our “Rant or Rave” segment, where we pick one item in the market, and we'll either champion or criticize it.

In this episode of Enterprising Insights, Clint Wheelock joins host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, for a conversation about the use of low-code/no-code development platforms within the enterprise environment. We will discuss the types of platforms available, the benefit and pitfalls of using them for enterprise development tasks, and discuss a few of the leading vendors offering these tools. We'll also cover some recent news and newsmakers in the enterprise software market. Finally, we'll close out the show with our “Rant or Rave” segment, where we pick one item in the market, and we'll either champion or criticize it. You can watch the video here and subscribe to our YouTube channel if you've not yet done so.

In this episode of the Futurum Tech Webcast, Mike Whitmire, CEO and Co-Founder of FloQast joins host Keith Kirkpatrick, Research Director, Enterprise Applications at The Futurum Group, for a conversation about workplace trends, focusing specifically on the accounting industry, and the frustrations that many accountants struggle with, day-in and day-out, and what that means for today's organizations and the future of the accounting profession. They also discuss how technology can be the catalyst for ensuring that the accountants of today are able to continue to do meaningful work, while also properly positioning the industry to continue to attract bright and innovative workers for years to come. You can watch the video here and subscribe to our YouTube channel if you've not yet done so.

In this episode of Enterprising Insights, Mark Beccue, Research Director, AI, with The Futurum Group joins host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, for a conversation about the use of generative AI within enterprise platforms and applications. We'll also cover some recent news and newsmakers in the enterprise software market. Finally, we'll close out the show with our “Rant or Rave” segment, where we pick one item in the market, and we'll either champion or criticize it.

Henri Asseily, a tech entrepreneur, co-founder of Bizrate, which he sold for $525 million, and active investor, boasts an inspiring journey from his early years in Lebanon to leading innovative tech ventures. His passion for technology and unwavering determination make him a key figure in the global tech landscape. His venture capital firm, Leap Ventures, is investing in startups like Brigad, Instabug, Joust, Enterprise Applications, and Consumer.

In this episode, we are talking to Robert Cooke, founder and CTO of 3forge. He has spent the last decade creating a full stack software platform that revolutionized enterprise real-time data management, visualization, and workflows through its inventive “high impact code” concept. With offices in New York, London, and Singapore, 3forge has been serving a The post Building Enterprise Applications with Robert Cooke appeared first on Software Engineering Daily.

In this podcast episode Nermine Zakhary and Sherif Samaan share their experiences and insights on playing to one's strengths, identifying strengths, mental fitness, effective communication, and leadership. The guests emphasize the importance of discovering one's strengths, reflecting on past experiences, and setting one's vision. They also stress the significance of mental fitness, effective communication, and experiencing pain, uncertainty, and chaos to grow as a leader. This conversation is relevant for c-suite leaders navigating their next move and anyone in transition looking to understand their strengths and bring them forward.   Nermine Zakhary: Nermine Zakhary is a Certified People Acuity Coach™ & Positive Intelligence (PQ) Coach, specializing in helping others strategically apply their strengths to accelerate their performance, energy, relationships, and results.As a PQ Coach, Nermine adds the important layer of helping clients grow their mental fitness (the capacity to handle life's challenges with a positive mindset), the next step in ensuring lifelong application of strengths.Nermine coaches individuals and small groups. She also facilitates workshops to teach strengths strategies to clients so they can define their optimal zones -- and thrive there.Nermine comes to Strengths & PQ coaching with 15+ years of experience in the training industry at Highland Hospital and Xerox Corporation. She holds a Master's Degree in Education, specializing in Instructional Design for Online Learning.   Sherif Samaan: Sherif Samaan is an IT executive in the higher education sector with over 25 years of experience in leadership and strategy. Sherif has led projects across the globe, including New York City, Abu Dhabi and Shanghai. Sherif has also served as Associate Vice President and Deputy CTO supporting and leading enterprise application strategy across the local and global NYU campuses. In recent years, Sherif became an ICF certified independent executive coach; working with and helping to transform IT leadership and their staff at several higher education institutions,enabling them to think more strategically while improving their communication, leadership, and collaboration skills with their campus communities; as well as helping them create their career roadmaps while creating more effective IT team structures. Sherif currently works for CampusWorks as the Director of Enterprise Applications at Drew University in New Jersey, where he is building out a leadership program for all IT staff and student workers.   Company websites: www.Strengths-Edge.com  www.businesstransformationtech.com   Linkedin: Nermine:https://www.linkedin.com/in/nerminezakhary/Sherif:https://www.linkedin.com/in/silverfox62/   Whether you are a C-Suite Leader of today or tomorrow, take charge of your career with confidence and leverage the insights of The CEO's Compass: Your Guide to Get Back on Track.  To learn more about The CEO's Compass, you can get your copy here: https://amzn.to/3AKiflR    Other episodes you'll enjoy: C-Suite Goal Setting: How To Create A Roadmap For Your Career Success - http://bit.ly/3XwI55n Natalya Berdikyan: Investing in Yourself to Serve Others on Apple Podcasts -http://bit.ly/3ZMx8yw Questions to Guarantee You Accomplish Your Goals - http://bit.ly/3QASvymSee omnystudio.com/listener for privacy information.

Welcome to "LIVE at Connect '23," a special edition of the Tyler Tech Podcast. Join us as we take you behind the scenes of Tyler Connect, Tyler's annual user conference that brings together government and technology leaders from all corners of the country. In this Part 1, we delve into the heart of the conference, sharing the excitement and inspiration that filled the air.Get ready to be inspired as we showcase a diverse array of exceptional projects that earned the prestigious Tyler Excellence Award (TEA). From innovative solutions to transformative initiatives, we shine a spotlight on the outstanding achievements that are shaping government technology.We're thrilled to introduce you to a first-time attendee who shares her unique perspective and impressions of Connect. Experience the conference through the eyes of someone new, as she recounts her favorite moments that made Connect '23 a truly special event.In an exciting first for the Tyler Tech Podcast, we have the privilege of sitting down with a distinguished mayor. Join us as we engage in an insightful conversation, uncovering the short and long-term challenges he aims to address for his community. Guests on LIVE at Connect '23 Part 1:Greg Overtoom is the Assistant Director of Enterprise Applications for Bloomington, Indiana. We talk to Greg about his Tyler Excellence Award and the best practices he learned now that they have been through implementation. Aline Martinez is the ERP Security and Document Application Manager at IDEA Public Schools.  She shares her thoughts as a first time attendee at Tyler Connect. Sara Worley is the Economic Development Director for Goochland County, Virginia.  She was the project manager of the TEA-winning project for her community. She shares what life was like before implementation, and what benefits they are seeing after. Mike Stanzilis is the Mayor of Mount Arlington, New Jersey.  He shares with us the things mayors focus on as they serve their communities, and how both short and long-term goals are high priority. Learn more about Tyler TechnologiesDiscover more great content from Tyler Technologies

When is the perfect time to launch a business? It is different for everyone but rarely is the timing perfect. Today's guest is an Engineer by trade, Dustin DeVries, Co-Founder of Caffeine Interactive Technologies. We discuss how complex his life was when he and his wife launched their business building simple websites and Enterprise Applications. Coming from a corporate background and parents that were Entrepreneurs, he made the leap of faith with his wife's support. During the interview we discuss the dangers of outsourcing components of the business, the value of long-term relationships with clients as well as the importance of exceptional customer service, and much, much more. Tune in and enjoy!!! To learn more from Dustin about website development and enterprise applications visit www.CaffeineInteractive.com, or follow on Social Media FB, Twitter and Llinkedin @CaffeineInteractive Thank you for listening to another episode of the Perky Collar Radio Show. Warmest Regards, David M. Frankel Perky Collar Inventor, Perky, LLC Founder, Perky Collar Radio Show Host, Commercial Real Estate Broker & Business Broker www.PerkyLLC.com, www.BBOTC.net Feel free to join my Entrepreneur Group on Facebook www.Facebook.com/Groups/CharlotteEntrepreneurThinkTank Feel free to learn more about The Fenx and join fellow successful Entrepreneurs https://entrepreneurs-maclackey.thrivecart.com/the-fenx-monthly/?ref=cettsupport Feel free to connect with me on Linkedin www.Linkedin.com/in/DavidMFrankel Ready to write a book and share your story with the world? Let me help you get it done every step of the way. Go to https://perky.bookpublishingagency.com/ --- Support this podcast: https://anchor.fm/perkycollaradioshow/support