Podcasts about business outcomes

In the 192nd episode of Kitces and Carl, Michael Kitces and client communication expert Carl Richards discuss how advisors can stay creative without losing sight of the business side of things. For full show notes, see kitces.com and thesocietyofadvice.com.

Consumption pricing and AI adoption are forcing revenue teams to prove value faster, with less room to hide behind contracts, pilots, or broad technical promises. Seong Park, Senior Vice President of Customer Support and Services at Cursor, joins John Kaplan and John McMahon to examine how customer success has become a consultative, technical, and commercial function in modern go-to-market. The conversation explores why post-sale execution is now central to retention, how teams need to embed into customer workflows, what finance scrutiny means for consumption models, and why the fundamentals of pain, champions, outcomes, and evidence still matter in a market moving at unusual speed. Seong Park is the Senior Vice President of Customer Support and Services at Cursor. His background spans pre-sales, customer success, and go-to-market leadership across companies including MongoDB, ThoughtSpot, and now Cursor. Connect with Seong: LinkedIn Key takeaways from this episode:  00:00 – Seong Park's perspective on how pre-sales, open source SaaS, and customer success shaped his view of enterprise go-to-market. 02:26 – Why consumption models force revenue teams to re-earn the customer's business through usage and realized value. 08:00 – The value realization test every revenue leader should care about: what happens if the solution gets unplugged. 11:04 – Why workflow depth quietly becomes a moat in enterprise accounts. 18:04 – Why the real selling often starts after the customer signs. 23:50 – A look inside where Cursor is finding technical go-to-market talent, and what it takes to build that talent into customer-facing operators. 34:38 – Why finance scrutiny quietly changes the standard of proof for AI investments. 52:00 – The three things post-sale teams need to understand before value delivery can begin. Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

In this episode of Fireside with Founders and Leaders, host Rupert McSheehy sits down with Chris Storey, the Technology Director at Travelopia, to discuss the transformative journey of the company in the realm of artificial intelligence. With over 11 years of experience at Travelopia, Chris shares insights into how AI has revolutionized their operations and enhanced customer experiences. The conversation dives deep into the challenges and successes that come with implementing AI in a private equity-backed environment, emphasizing the importance of leadership support and a culture of experimentation.Chris elaborates on the three phases of transformation that Travelopia has undergone, from addressing legacy technology to embracing digital and now, AI-driven solutions. He candidly discusses the lessons learned from both successful experiments, such as AI-enhanced sales processes, and those that fell short, like early chatbot implementations. The episode highlights the necessity of balancing technological advancements with human involvement, addressing the potential for resistance within teams, and fostering a culture of curiosity to ensure that AI is used to its fullest potential.(00:00) - - Introduction to the Podcast (01:12) - - Guest Introduction: Chris Storey (02:45) - - Overview of Travelopia (05:30) - - Chris's Role and Responsibilities (08:00) - - Travelopia's Transformation Journey (11:00) - - The Importance of AI in Transformation (14:45) - - Phases of Transformation at Travelopia (18:30) - - Current AI Initiatives and Experiments (22:15) - - The Challenge of Change Management (26:00) - - Technology vs. People: The Real Challenges (30:15) - - Overcoming Resistance to AI Adoption (34:00) - - Business Technologists and Empowerment (38:30) - - Examples of Successful AI Implementations (42:00) - - Lessons Learned from Failed Experiments (45:30) - - The Role of Leadership in AI Adoption (50:00) - - Future Outlook for AI at Travelopia (54:15) - - Maturity Levels of AI in Society (58:00) - - Final Thoughts on AI and its Future (01:01:00) - - Conclusion and Subscription Reminder

Epicor CMO and SVP of Product Kerrie Jordan joins the MDM Amplify Podcast to discuss ERP's shift from a system of record to a system of outcomes, the company's latest agentic AI announcements and what distributors should prioritize as business software enters its next chapter.

Scott Kramer of Infios talks about intelligent supply chain execution; why visibility & optimization are key building blocks; & leveraging AI the right way.  IN THIS EPISODE WE DISCUSS:   [02.25] An introduction to Scott, his role at Infios, and his background. [03.20] An overview of Infios, who they are, and what they do. [03.50] The ethos that has informed Infios's journey with AI and new technology. "From the beginning, our solution has been based around adaptability and openness. And now, with the advent of not just AI but AMRs, that openness has allowed us to navigate these waters more easily. We're flexible in how we can operate in this environment." [05.51] Why visibility and optimization are the building blocks for AI-enhanced execution. "Visibility and optimization are still important… But when we add the agents, they can understand what's going on, prescribe solutions, and take away a lot of the heavy lifting of research and analysis." [06.41] What Infios's recent supply chain execution readiness report reveals about how leaders are thinking about execution and optimization, particularly around manual workflows. "Some workflows have been optimized, but only within their silo. They may have optimized a workflow for transportation or warehouse – but how do you connect them?" [09.14] The biggest issue in the market right now with AI understanding and adoption. "People are asking us: "What are you doing right now with AI?" And that's the wrong question." [11.15] Where Scott sees companies on the reactive vs proactive scale right now, why mindset is still a limiting factor, and how visibility is changing. "People are still thinking in the ways they've traditionally solved problems. They're thinking about automating a single task; they're not thinking about connecting the dots together." [13.25] How leaders are thinking about the future of technology. "The art of what's possible has changed." [15.03] Why many AI pilots still aren't getting off the ground, and how we can actually create value from AI investments. "I've seen all too often: 'I have a great technology, now let me go and search for a problem.' We really need to start with the problem, then define the technology. AI is an amazing tool, when leveraged correctly." [18.13] What intelligent, connected execution should actually look like. [20.54] Training AI slowly, how bias is holding us back, and discovering what's really possible with AI. [22.53] The benefits to teams and businesses when they achieve intelligent, connected execution. [24.18] The small steps teams can take now to position for success. "Don't think of it as an LMS problem, WMS problem or TMS problem. Ultimately, it's a customer problem." RESOURCES AND LINKS MENTIONED:   Head over to Infios' website now to find out more and discover how they could help you too. You can also connect with Infios and keep up to date with the latest over on LinkedIn or YouTube, or you can connect with Scott on LinkedIn. If you enjoyed this episode and want to hear more from Infios, check out 520: Enter the New Era of Supply Chain Management, with Infios or 532: Turning Purposeful AI into Business Outcomes, with Infios. Check out our other podcasts HERE.

219. Learning Cultures Create Better Business Outcomes   In this episode of The Visibility Factor podcast, Susan sits down with Lori Benton, Senior Vice President of Learning, Culture & Engagement, leadership coach, and former Chief Academic Officer, for a powerful conversation about leadership development, culture strategy, coaching, and the human side of organizational growth.  Lori shares her unique career journey from chemistry teacher and educational leader into corporate leadership and explains how her background in education shaped her philosophy around learning, engagement, psychological safety, and leadership development. Together, Susan and Lori explore why culture and business strategy cannot be separated, how organizations can better support high-potential leaders, and why coaching should be viewed as growth, not punishment.   Key Topics Discussed Why culture strategy and business strategy must align The difference between training and true learning Creating psychological safety for teams Why organizations lose talent when they fail to invest in people The role of coaching in leadership growth Building collaborative cultures instead of competitive ones Learning and culture are inseparable Training is not the same as learning Leadership growth starts with self-awareness Visibility is about impact, not self-promotion Coaching should be developmental, not punitive Great leaders focus on people, not just performance Book Recommendation: Together Is Better by Simon Sinek Connect with Lori: https://www.linkedin.com/in/lori-benton-8047a22b8/   Connect with Susan M. Barber If this episode resonated with you, share it with another leader navigating change inside their organization. You can also connect with Susan M. Barber for coaching, leadership development, speaking engagements, and visibility strategy work focused on helping leaders become more influential, trusted, and impactful inside organizations. https://susanmbarber.com https://www.linkedin.com/in/susanbarbercoaching/

Learn what happens when the executive accountable for data strategy is also the executive accountable for the business results that depend on it. Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer at S&P Global, shares how he manages one of the world's largest financial data estates while driving business outcomes across public and private markets. He breaks down the four pillars of S&P Global's data strategy, the federated organizational model that connects data teams to business value, and why capturing ROI from AI requires deliberate workflow transformation. Key Moments Why Data Strategy Must Follow Business Strategy (04:57): Saugata challenges the idea that data and business strategy can run in parallel. Market trends, customer pain points, and existing capabilities must come first. Building an AI-Ready Financial Data Estate (15:10): Scale alone does not create intelligence. Saugata explains why semantic layers and graph databases are the hard work behind connected financial data. How AI Compresses Post-Acquisition Data Integration (18:29): Manual reconciliation of millions of records is no longer the only path. Discover how AI entity matching accelerated post-acquisition integration. The Federated Model That Connects Data to Value (22:49): Most large organizations either over-centralize data teams or leave them too embedded to scale. Saugata outlines the federated model that actually bridges both. Rethinking AI Productivity: From Marginal to Transformative (28:29): Most AI programs stop at training and tooling. Saugata explains why deliberately redesigning workflows is the missing step between AI investment and real ROI. Key Quotes “Data strategy and business strategy have to be very tightly connected. And if they're not, that's when value capture does not happen. In fact, I would go so far as to say data strategy actually follows from business strategy.” - Saugata Saha “Stop treating data as an afterthought or byproduct, but start thinking about data as a key ingredient for value creation and competitive advantage.” - Saugata Saha “We don't want everybody to become 10% more productive, because that's a little squishy. We want 10% of the people to become a hundred percent more productive so they can do other things.” - Saugata Saha “If a company can really use data at scale for better decision making, better client service, [and] better outcomes, that creates a lasting edge over the competition.” - Saugata Saha Mentions S&P Global Agrees to Acquire With Intelligence from Motive Partners for $1.8 Billion, Establishing Its Leadership in Private Markets Intelligence The Data & AI Chief: Why a Federated Data Team is Crucial for Business Value, with Dow Private Companies Wait Too Long to Go Public The Lex Fridman Podcast Guest Bios  Saugata serves as President of S&P Global Market Intelligence, leading the division's efforts to deliver essential insights and intelligence to clients worldwide. He is also S&P Global's Chief Enterprise Data Officer, responsible for driving innovation and excellence in the company's enterprise data strategy. Saugata is a member of S&P Global's Executive Leadership Team, contributing to the strategic direction and growth of the organization. Before joining S&P Global, Saugata was a consultant at McKinsey & Company's New York office, where he advised clients on strategy, mergers and acquisitions, corporate finance, and operational improvements across various industries, with a strong focus on financial services. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this episode of the Vantage HR Influencers Podcast, Hemdeep Singh, Director of Customer Success at Darwinbox, shares practical insights on how HR transformation impacts business outcomes by connecting people strategy, technology, and operational execution. The conversation explores how organizations can move from fragmented HR processes to more agile, integrated, and data-driven systems that improve decision-making, strengthen employee experience, and drive efficiency. It also highlights how leaders can align HR transformation with business priorities, create measurable value, and build organizations that are more responsive to change.

In this episode of the Leap into HR Consulting podcast, Sarah Hamilton-Gill explains why experienced HR consultants and coaches can still struggle to attract clients, even when they have strong expertise. The central message is simple: stop selling HR support or coaching sessions, and start showing the business outcome. Sarah explores how many consultants describe what they do in terms of services, such as policies, retainers, coaching, psychometrics or leadership development. However, business owners are usually focused on more immediate challenges: people issues taking up too much time, managers avoiding difficult conversations, senior teams lacking alignment, or growth creating risk and chaos. The episode shares three practical ways consultants and coaches can strengthen their positioning: Lead with the outcomeExplain the value your work creates, such as reducing risk, improving leadership confidence, supporting growth, creating clarity or helping managers deal with issues earlier. Be known for something specificMove away from being too general. Choose clear themes or problems you want to be associated with, so people can remember, refer and recommend you more easily. Create a clear next stepAvoid vague endings like “let me know if I can help.” Instead, guide the conversation towards a practical next step, such as an HR priorities review, leadership coaching programme, manager confidence support or facilitated team session. Sarah reassures listeners that struggling to talk about their own value is very common, especially for those moving from corporate HR or in-house coaching into consultancy. The answer is not to become pushy or salesy, but to become clearer, more confident and more commercially relevant. In this episode, Sarah also speaks with Briana Mascaro, a former labour and employment attorney from Florida who has recently made the move from corporate life into entrepreneurship. Briana shares her journey from legal practice into corporate HR, including her time at Disney managing union contracts, employee relations, investigations and complex workplace challenges during major periods such as #MeToo and COVID-19. She explains how this experience has now shaped her new business, where she combines executive coaching, HR consulting and employment law expertise to support smaller businesses with people-related challenges. A key theme of the conversation is the move from corporate certainty to entrepreneurial freedom. Briana talks openly about how coaching became a passion project, how she prepared financially before making the leap, and why building a network and client base before leaving corporate life helped her transition with confidence. Sarah and Briana also explore the importance of outsourcing workplace investigations, particularly for smaller businesses that need independent, credible and objective support. Briana highlights how her legal, HR and employee relations background gives her a strong foundation for handling sensitive and complex investigations. The episode also covers the practical realities of starting a consultancy, including setting up systems such as a CRM and accounting software, using AI tools, managing workload, choosing the right clients and setting realistic goals. Briana shares honest reflections on work-life balance, breaking old corporate habits and creating more time with her daughter. For anyone considering a move from corporate HR or employment law into consulting, this conversation is full of grounded advice, encouragement and practical insight. In this episode, we cover: Briana's transition from employment law to corporate HR and consulting Her experience at Disney with unions, employee relations and complex investigations Why executive coaching became the catalyst for starting her own business The benefits of outsourcing workplace investigations How to prepare financially and practically before leaving corporate life The importance of systems, networking and realistic goal-setting Building a consultancy around your strengths, niche and values Creating better work-life balance as a business owner Listen in if you are thinking about making the leap into consulting, building a coaching practice, or using your corporate expertise to create a more flexible and fulfilling career. Please connect with Briana via her LinkedIn profile and let her know you listened to the podcast! https://www.linkedin.com/in/briana-mascaro-/ For more information on all of our services: www.leapintoconsulting.com To find out more about our summer sales programme contact: Sarahhg@globushrconsulting.co.uk

According to research by G2, organizations with a sales enablement strategy achieve, on average, a 49% higher win rate on forecasted deals. But to see these kinds of returns, you first need to get sellers, leaders, and the business itself bought into the value of enablement. So, how do you build confidence in the function's value across stakeholders at every level of the business? 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 are Mateo Perretta, senior director of revenue enablement, and Bety Garcia, sales enablement program manager at Loopio. Thank you both so much for joining us. I’m really excited to have you here and to learn a little bit from your expertise. Before we kick off, would you mind telling us a little bit about yourself, your background, and your role? Betty, maybe can we start with you? Bety Garcia: Yeah, no, thank you for having us. I’m a sales enablement program manager here at Loopio. I’ve been in enablement for a little bit under a decade at this point.  I’ve always been part of pretty small teams, so I’ve had to be pretty creative when it comes to, you know, how do we get a whole bunch of different initiatives done across the board. RR: The story of scrappy teams and figuring it out is one that a lot of folks in enablement know well, so I’m sure there will be a lot of similarities in what you have to share. Matteo, would you mind telling us a little bit about your journey? Matteo Perretta: Yeah, absolutely. And thanks for having us today. You know, it’s interesting. I tell a story about, I  started my career in telemarketing. I was in sales support did sales myself. I became a sales leader. And then I stumbled into this thing called sales effectiveness, sales excellence, sales enablement. It’s changed over the years, but probably in 2010 when I stumbled across it. And what I’d like to say is I’ve moved from the game of quantity to quality. RR: From your perspective, having now stumbled into sales effectiveness, now sales enablement and led it at several different companies, how would you define what great enablement looks like, especially for growing GTM organizations like Loopio? MP: I’ve walked into sales organizations and the first feedback I get is, we’ve done way too much enablement. We really haven’t had any time to digest it. And that’s usually a symptom of teams being reactive. What I mean by that is sales leaders and salespeople will come to you and tell you they need all this enablement and you just keep filling that funnel and you almost become a catch-all for everyone versus being proactive and really looking at, you know, data and insights to kind of figure out what do we need to do and how does that actually align to the KPIs or the results and what the organization’s ultimately trying to do? And so for me, it’s really understanding: “What do we have, what are our assets, and how do we align them to our goals?” When you do that, you become a partner and you show them with insight what’s important versus just, you know, being this order taker and doing a lot of enablement that just isn’t resonating. RR: The other piece of the puzzle is giving enablement the agency to kind of direct course and build a strategy with sellers in mind, but also not built for every single thing that every single seller needs, because that is an endless hamster wheel that you will never escape. So I love that call out and I’m curious to hear how technology fits into that when it comes to building a great enablement strategy. Betty, you’ve been with Loopio through a couple of enablement tool changes, including when Loopio made the decision to step away from a previous tool and kind of run without one for six months. Can you walk us through what wasn’t working then and why for a little while maybe no tool was better than the wrong tool? BG: It wasn’t so much that we had issues with the tool itself, but more so what it had become at the time. Right? So like we have a ton of unorganized, outdated content in there. And the problem with something like this at the time is that users don’t tend to be loud about those issues. They tend to just find workarounds. On one hand, you might have, you know, top performers starting to create all of their own content that maybe they share with a few individuals and those individuals might share with others. On the other, you have the opposite of that, where you have a whole bunch of outdated content out there that’s just circulating. And so what this creates is a few different challenges for the team that doesn’t necessarily go noticed right away, which is that the messaging becomes completely random depending on, you know, who knows what, their experience level. That then translates to performance. So, now it’s not just an issue of, you know, do we have a good source of content for everybody to draw from? It’s, you know, how do we get everybody back to performing at the same level with the same level of knowledge and the same level of information? So that was sort of like, you know, stepping back. That was the real challenge that we were looking to solve. And part of what, having that time in between not having a tool and then looking for a new solution to bring into Loopio was having the time to plan for that, right? If we’re gonna do this, how are we gonna do it? There was a lot of planning involved in that and really trying to make that decision and, and started to tie it to the real business challenges that we had there, which was how do we get everybody working at the same level once again? RR: Yeah. And I’m really excited to dig into how you rebuilt that trust, because that’s not easy. So, we’ll touch on that in a minute. I want to start with the decision over that six-month period to strategize how we’re gonna rebuild and then who we’re gonna rebuild with, and eventually that decision led you here to Highspot. Bety, you mentioned that you’d launched Highspot at a previous company. What made you confident over this time as your planning, planning, planning, that this would be the right tool and you’d be able to build that trust in that confidence with your users with it? BG: I think it, I mean, I had a huge advantage, right? Because I had done it a few times, and I mean, had a great positive experience working with the team at Highspot, but also I knew that it was a really great tool, right? It sort of sells itself when it’s launched correctly, right? So instead of evaluating the tool itself, from that standpoint, it was like, great.How do we get strategic about doing a launch that’s gonna be really impactful. And that looked like doing cross-functional partnerships. So working with marketing and product, it wasn’t just an enablement initiative anymore. We really did spend a lot of time doing a ton of content review across the board and reevaluating what it was that we wanted to arm the team with. And then in fact, actually starting to anchor some of our own enablement initiatives into the launch of the tool itself. So when we did launch Highspot at, we actually also relaunched our onboarding program and we launched a whole new product to enablement program. Now, we were touching on the needs of marketing, the needs of product, the needs of our sales organization when it came to even just onboarding and starting to ramp up ours. And we could really start to show that impact very quickly across many different areas. RR: So from that moment, you’ve reached a pretty stable place with the platform and have built out a really robust environment that, just looking at the data, is well utilized by your teams. Matteo, from a leadership perspective, as someone who came in a little bit post-launch: When you joined Loopio and started looking at what you wanted the strategy to look like and the enablement approach to look like, how did Highspot start fitting into your vision as you were thinking about high priority initiatives, things like onboarding, things like, you know, Loopio's, monthly product launch cadence? MP: Yeah. I mean, I think it’s interesting when people say enablement or to define enablement, it’s what’s the modality? And I think a lot of times. People see enablement with a classroom and an instructor up all the time. And one of the things, you know, I kept saying was, you know, it can’t be Bety and me in a classroom every time doing this. And so really Highspot allows us to give them different modalities and look at ways of giving people what they need when they need it. And so I think that was part of the strategy. The other thing was, you know, I’ve spent some time with a Highspot team, like, how are we gonna measure this? How are we gonna prove ROI to our leaders so that we can get them to buy in? I know in speaking to other sales enablement leaders, one of the biggest challenges is actually getting people to complete the courses, and so we’ve gotta make it easy for them. So with Highspot, we can quickly pull reports, help people understand who’s completing, who’s not, but then take it one level deeper. Some of the work that Bety’s done, we’re actually able to look at who are our top performers and how much time they are spending in Highspot versus those that aren’t top performers. There’s a correlation there. To me, that’s the most valuable thing, being able to go back to our leaders and saying: “This is working, this isn’t working. Here’s why we need to change and, and here’s the insight behind it.” RR: You mentioned something interesting there, which is the ability to, at a very granular individual level, see what users are doing, how they’re behaving, what they’re completing or what they’re not completing, and then kind of act on that. And that comes back to what I wanted to touch on, Bety, is driving that end-user adoption. So, how have you gotten reps to see Highspot as a value-add in their day to day, and maybe a little bit more depth on what Matteo touched on in terms of the impact you’ve seen on those high adopters, those high users.? BG: I think it becomes, uh, sort of self-explanatory when you can show what top performers are doing to the rest of the team. Because the minute that you can point to, you know, these people are doing all of these things as well, people get curious. And so it doesn’t have to be enablement asking them to do it. And you also have leaders asking them to do it. A really good example, early on what we did is we ran a Digital Room challenge. So yes, we had a few initiatives that were tied to the launch of Highspot, but I also knew from experience that the more they used Highspot, the more likely we would be able to get that adoption, which then gives us the analytics and gives us the feedback loop that we need to be able to get even better and make an even better experience for them. So we created this competition and had them start using Digital Rooms where, you know, now there was all of this buzz just in terms of like the engagement analytics that they were getting. Top performers shared what they were doing, reps were getting curious about, you know, what was being shared, what was resonating with prospects. And we didn’t have to do any of that. That was a pretty low effort initiative from our end. That was, I would say, more so on the side of how do we, again, build that credibility and get everybody changing the behavior of coming to Highspot all of the time for everything that they need with the understanding that they’re getting the right content at the right time. When we move into sort of ongoing enablement, now that we’ve established that. How do we then also make the same sort of correlations between the top performers who are completing all of the courses or reviewing all of the content that we’re launching in Highspot? People get excited about being able to do something a little bit better, and then that knowledge sharing starts to happen just organically across the board where people will start asking each other: “How do you do this?Can you share this with me? Where did you find this?” RR: I really like the approach where instead of, you know, it being a conventional top-down mandate that maybe doesn’t land with reps as well or feels like a forced addition to their workflow, it was instead more of like a grassroots initiative led through seller competition, which is gonna be there naturally. One piece that you did say is, you know, getting leaders to help you in that mission of getting reps to do the right things. Matteo, can you talk to us about what it’s like to get your leaders bought in? MP: Yeah, I mean, I think it’s interesting. I had a sales leader who once said to me: “Am I flying a plane or am I running a sales team?” And he was making reference to the fact that he had so many dashboards and he didn’t know what to start with. Highspot gives us the ability to pull reports and, and, and track success very quickly so that I can send it to a leader to be able to say, I need you to take action on this. They know exactly what they do, and they know exactly how to act on it. When they’ve got a team of ten and we’re showing that four people are spending more time in Highspot than everyone else, and those four people happen to be performing better than everyone else, you get the leader’s attention and now they know they have to action it because it affects their bottom line and it affects their team performance. Leaders are busy. Tools are supposed to make their lives easier, but if they’re inundated with it and they don’t know what to do with it, that’s where we as enablers need to empower them, give them the resources, give them the insights to be successful. And with the analytics and reporting that we can pull out of Highspot, the tool sells itself and, and they action it because they realize the value. RR: To the point of data. I think a lot of times when you talk about leadership engagement and earning sales, leadership buy-in, it’s really a conversation of like: “Can I convince them of the value?” And more often than not, what is going to convince them is hand them a number and say you can look at it and see that this is what you need to go run and do. So I love that. It’s really just I have a dashboard that tells you how to win. Are you gonna work with me on this or not? When did you feel that shift kind of happening and that accountability shifting from enablement-only to some of the onus going on to sales leaders? MP: One, we track monthly product enablement completion rates. When we made it important to them, they made it important to their AEs and CSMs. All of a sudden you see the completion rates going up. Not only that, we also track, you know, are they mentioning that product enablement from the previous month in their calls? We can start to track their calls and find out, hey, they actually are taking the information. And so for us, it’s not just a completion rate because, let’s face it, people can create a lot of click-through training and they’re just completing it to complete it. We’re actually going one step further or measuring that success or the validity of it, or whether or not they’re using it in their talk tracks. Again, all those numbers go back to the sales leaders, which makes it important to them, which means it’s important to the sales reps because the sales leaders are looking at it, and all of a sudden you’ve got better completions, better progress, and success in winning more because they’re using the assets and the training that you’ve shared with them on Highspot. RR: How are you kind of drawing that conclusion? What are you looking at when you are correlating that top users of Highspot are also our top performers? BG: I mean the, the most straightforward answer to that is that you look at, you know, our Salesforce data to take a look at win things like win rates, deal velocity, ARR, and then look at utilization metrics within Highspot. Beyond that, when you’re thinking about enablement as a whole, it’s almost like there’s a few different stages when I’m thinking about a program in terms of measurement, because the biggest shift that I think we’ve done from an enablement success metric standpoint is really thinking about outcomes, which is what Matteo was sort of alluding to, right? Like enablement always gets stuck in the measurement of completion rates and attendance rates, and that’s a really hard thing to then translate into impact to the business. And so when we’re thinking about outcomes, we’re leveraging a few different tools across the board to build that story. So how do we first deliver the learning? Then, how do we measure how they adopted the learning? And then do we have a way to measure that the behavior has actually become consistent? And so, looking at milestones, if you think about them from that perspective, to be able to measure how we’re doing every single step of the way. Yes, we can, you know, share that the team maybe hasn’t completed something for whatever reason. But when we start to show the outcome of these things, right, like these are the behaviors that are driving the right kinds of numbers that we wanna be able to see in terms of win rates, then it’s not really an issue. Right? It’s sort of like a self-serving argument at this point because it’s such an easy thing to sell to them. RR: It does often happen that I chat with enablement teams and measurement and real outcome and impact mapping is very much kind of a North Star still, and it seems like you guys have comfortably landed in a place where you can consistently point to: “Here is the initiative we’re running, the programs we’re driving, and here is exactly over the course of, you know, today, a month from now and then quarter over quarter, what that impact has had on our reps.” So I would be curious to hear from each of you in terms of the impact you’ve seen over the last, you know, year and change of running with Highspot, executing initiatives through the platform. What have you seen that do to your business outcomes? MP: There’s a lot of ways to measure that business outcome for us. And you know, I’ve heard other enablement teams struggle with how do they actually measure it? For us, every quarter we’re looking at what are our targets, what are we doing, what are the KPIs behind the targets, and how do we align to that? And so we closely manage and monitor our impact and what we’re doing to, what those KPIs are and what the business metrics are. And so when a request comes in, we actually look at it and say: “Hey, what’s the impact?” And if it doesn’t fit within that, rather than put it through Highspot and, and get people to do it, we kind of deprioritize that. I would say that’s probably one of the biggest impacts. The other one is one that I said earlier, which is that we have struggled with product enablement in the past and getting completion rates as most companies do. But I think now with this tool and the insights that we’re able to prove, and the validity and the ROI behind it, we’re seeing better completion rates. And those completion rates, again, are correlating in performance. And that’s really the piece that we continue to drive. RR: Bety from, from your end of things, anything you’d like to add to that in terms of. The impact or outcomes you’re seeing? BG: I mean, one I would say that I could point to is our onboarding program. I think that’s usually the easiest one to measure. The fact that, you know, we were able to launch a really structured, self-led onboarding program within Highspot meant that, you know, even though we have a really small team, I did have time to then focus on business as usual enablement, skills enablement. But you know, being able to rely on that also meant that our ramp became a lot easier to predict. And so even thinking back to, you know, a year ago or so before we had our onboarding program launched, we probably cut the time to get reps to the field by about 25%. Right? And so that’s huge. I, as an enabler, who’s doing all of these different things to be able to rely on things like that when we have a growing team if we’re gonna be successful at anything else that we’re doing. Otherwise you’re, you’re spread too thin and you’re not able to accomplish anything. It’s really great to be able to show from an organizational standpoint that what we are putting out from an enablement side is impacting other initiatives across departments. Right? So the biggest questions we sometimes get is like: “Great, we did all this training, but is the team actually selling that? Or we have new messaging, like how do we ensure that everybody is actually working on that? When you’ve been able to tie some of those behaviors to, well, we started here, right?” We were not just focused on whether or not they were looking at the content. We were actually focused on whether or not they actually learned something from it. That it's part of their overall deal management. RR: So it sounds like kind of the broad, overarching theme there is that you’ve been able to drive consistency. You have folks ramping at a standard time, you can reliably say, our program is working and it’s working faster on ongoing training. People are completing the work that they need to, to be ready for all of these product launches, and then all of that work is translating into better returns in the field down the line. So it’s kind of just a full end-to-end process that gets a rep ready to go and delivering better. Looking back at all of this work, Matteo, I would love to hear from you. What, if any, other signals are you looking at that tell you that this is, this is the right approach that you and the team have developed something that really sustainably works? MP: I think sometimes if you’re not getting people training or not getting people completed, it’s because it’s too hard. They couldn’t find it, they couldn’t locate it. You know, I wish we had everything in one central, you know, repository. With Highspot, we have that, and ultimately the experience for the AEs and the AMS and CSMs to complete training is much better because of a tool like Highspot. Ultimately, that’s the, I think, the best measurement, and that’s why we know it’s working well. RR: To go way back to the very beginning about what you were saying, Bety, with the earlier solution that maybe just had kind of broken down and folks were quietly unhappy, not saying anything to go to a point now where you have people coming to you and telling you: “This works. I like it. Please keep going.” I think you’re right to say that that is the best signal and that tells you that everything that you’re doing is delivering exactly what you would hope it would. So fantastic to hear, especially knowing that you both are running this from a relatively small team. So I’d love it if you could close us out with some advice for other folks, maybe working on small teams. What advice would you give them when it comes to developing a scaled program that they can run consistently and reliably? BG: I think I kind of said this at the very beginning, like, you do need to get creative. Anytime that you can do more with less, I guess is the best way to put it, you’re going to get so much more return for your effort. And what I mean by that is, you know, I mentioned, you know, having onboarding, product enablement, everything tied in into the launch of Highspot. That was very intentional. If I’m doing something to make a launch a success, but it’s also benefiting other initiatives that I’m also responsible for, then I’m multiplying the effort that I’m putting into that work. And the other piece is you, and you kind of touched on this, the positive feedback from the team is super important with any sort of implementation for a new tool. Your biggest, biggest challenge is first credibility, and the second is adoption. I would say like, celebrate your wins often and, and like in as many ways as you can. So, you know, the Digital Room, while that was, you know, just a fun challenge to put out there to the team, what it actually did is it created a ton of buzz, right? And so people were essentially showing the rest of the business, like leaders and others around them, that this was a tool worth looking at and worth implementing into their day to day. If you can get creative there, in terms of not just showing the numbers. But actually having people talk about how great something is, that’s huge. And so really always celebrate the wins in every single way that you can. RR: That’s such great advice because it recognizes the people who are doing what you want them to and gives them a little bit of a thank you for it. And then it also, to your point earlier, drives that competition for everybody who’s trying to achieve those exact same outcomes. Matteo, any advice from your time here now at Loopio that you, you’d like to share? MP: Yeah, I mean, I think with smaller teams, there’s two things that come to mind. One, if you can’t measure it, ask yourselves and your leaders, why are we doing it. The second one is you have to enable your managers and your leaders to be enablers. That’s the way you can scale, and we spent a lot of time, Bety and I, meeting with the managers, collaborating with them, coming up with agendas, coming up with ideas, but then also delivering workshops together in tandem. And so if you’re gonna have any tool or anything that you’re trying to drive, you’ve gotta get their buy-in, but then also help them be enablers and, and when you do that, you can scale. RR: Yeah, maybe your team isn’t huge, but if you have champions across the organization advocating for you, well, all of a sudden you’ve doubled your capacity somehow. Bety, Mateo, thank you so much for joining us today. MP: Thank you for having us. RR: To our audience, thank you for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insights on how you can maximize go-to-market success with Highspot.

Raffi Krikorian: Translating Tech for Better Business OutcomesCTO Raffi Krikorian is a technology leader who has worked at the highest levels and, among other things, helped to launch the first self-driving fleet in the United States. In this conversation, we explore why communication breaks down between technical and nontechnical teams, the misconceptions that shape business decisions, and the real impact poor communication can have on outcomes. To learn more about Raffi, visit https://www.linkedin.com/in/rkrikorian/__TEACH THE GEEK (http://teachthegeek.com) Prefer video? Visit http://youtube.teachthegeek.comGet Public Speaking Tips for STEM Professionals at http://teachthegeek.com/tips

What actually separates AI that delivers real value from AI that never makes it past the demo stage? Recording live from Qlik Connect, I sat down with Ryan Welsh, Field CTO of Generative AI at Qlik, to get a grounded, practitioner-led view of what it really takes to make AI work inside a business. While the industry has spent the past few years racing to experiment, build, and deploy new capabilities, many organizations are still struggling to turn that progress into capabilities people use every day. In our conversation, Ryan cuts through the noise and explains why so many AI initiatives fail. Not because the models aren't powerful enough, but because they're not designed to fit into real workflows. He shares why context is far more than just a buzzword and how getting the right data, in the right place, at the right time, enables AI to deliver meaningful outcomes. We also explore the growing shift toward agentic AI and the responsibilities that come with it. From designing systems that can act autonomously while remaining under control to understanding where humans need to stay involved, Ryan offers a practical view of how organizations can move forward without introducing unnecessary risk. There's also a refreshing honesty around where we are right now. After a wave of investment and expectation, many companies struggled to see immediate value from AI. But as Ryan explains, that period is changing, with more organizations finding ways to scale what works and move beyond isolated use cases. So, as businesses look ahead, what does it really take to move from experimentation to execution? And are we focusing too much on building more AI rather than the right AI for how our organizations actually operate? Join me for a candid conversation from the heart of Qlik Connect, and let me know your thoughts. Are you seeing AI deliver real outcomes in your business, or is it still stuck in the demo phase? Useful Links Connect with Ryan Walsh on LinkedIn Learn more about Qlik. Follow on Twitter, Facebook, and LinkedIn   Visit the May Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

Today, we're revisiting a segment from our episode on selling enterprise software and connecting technical capabilities to business outcomes with John Donnelly. John is a seasoned enterprise sales leader with deep experience scaling complex sales motions across organizations like MobileIron and Kana. In this clip, he breaks down why so many sellers default to features, where discovery goes wrong, and how the best reps connect technical differentiation to real business impact to win complex deals. John Donnelly is a seasoned enterprise sales leader and CRO with a track record of scaling high-growth organizations through IPOs and acquisitions, known for helping teams translate technical capabilities into measurable business outcomes. Connect with John: LinkedIn Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

Explore how the "cookie apocalypse" evolved into a hyper-fragmented identity landscape where iPhone users, cookieless browsers, and diverse CTV signals have created massive monetization gaps for the unprepared.  I sit down with Intent IQ's Fabrice Beer-Gabel to reveal why the future of programmatic advertising isn't a choice between deterministic or probabilistic data, but a high-stakes race to balance scale with the 99% accuracy required to prevent AI from amplifying inaccuracies at scale. Episode Takeaways:

Amit Rapaport, Co-Founder & CEO of Compete, joined us on The Modern People Leader. We talked about why most HR metrics don't matter to your CEO, how to think like a CEO when looking at workforce data, and more.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/5-hr-rulesSponsor Links:

In this episode of Cloud Wars Live, Bob Evans sits down with Pankaj Goel, CEO of Opkey, to explore how agentic AI is reshaping ERP implementations and the broader systems integrator landscape. Goel shares how Opkey's platform automates the full lifecycle of enterprise applications — from design through testing and support — while addressing long-standing inefficiencies in implementation models. The discussion highlights the growing urgency for speed, cost efficiency, and business outcomes in the AI Era, and how digital workers are enabling organizations to rethink both delivery models and competitive positioning. AI Transforms ERP The Big Themes: AI Reshapes ERP Delivery Models: The conversation underscores a major disconnect between modern cloud ERP adoption and outdated implementation methodologies. While enterprises are rapidly shifting toward cloud-based systems like Oracle, SAP, and Workday, many systems integrators still rely on legacy approaches rooted in early-2000s practices. This mismatch results in inefficiencies, cost overruns, and delayed outcomes. Opkey addresses this gap by introducing AI-driven automation that aligns delivery models with the speed and flexibility required in today's AI Economy. Massive Time and Cost Savings: The platform delivers measurable efficiency gains. Customers report up to 40% reductions in day-to-day operational time post-implementation, while testing cycles shrink from weeks to just a few days. For systems integrators, implementation costs have dropped by approximately 25% in early deployments. These improvements not only enhance productivity but also enable faster innovation cycles, allowing businesses to respond more quickly to market changes. A Win-Win Ecosystem Vision: Opkey's strategy is built around creating value for all stakeholders: ERP vendors, systems integrators, and end customers. By improving implementation success rates, reducing costs, and accelerating time to value, the platform fosters a “win-win” ecosystem. This holistic approach ensures that innovation benefits the entire enterprise software value chain, rather than optimizing for one group at the expense of others. The Big Quote: “Copilots. . . help you understand your information better, whereas agents and agentic AI is a fundamentally different way of conceiving work. Think of an AI agent as a digital worker, just like you used to have Oracle administrators in past and your business analysts." More from Pankaj Goel and Opkey: Connect with Pankaj on LinkedIn or learn more about Opkey Release Advisor and CALM. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans speaks with Steve Miranda, Executive Vice President of Applications Development at Oracle, about the company's latest leap into AI-driven enterprise software. Miranda outlines Oracle's introduction of “agentic applications,” a new category that blends AI agents, automation, and business workflows into outcome-driven systems. He explains how Oracle's strategy has evolved from embedding AI into apps to building thousands of agents — and now to delivering fully agentic apps that transform how users interact with enterprise software. The conversation highlights both the opportunity and confusion customers face in this rapidly shifting AI landscape. Rise of Agentic AI The Big Themes: From Features to Outcomes: A major shift is the move from feature-based software to outcome-driven systems. Instead of executing predefined tasks, AI agents are now given business goals, such as optimizing supply chains or improving financial performance, and they generate multiple strategies to achieve them. Users then act as decision-makers, selecting preferred options. This represents a profound change in human-computer interaction, where software becomes a collaborative partner. Explosive Growth of AI Agents: Oracle's rapid expansion from around 50–100 agents to over 1,000 demonstrates the accelerating pace of AI adoption. This growth reflects both customer demand and the scalability of AI-driven architectures. The agents are not limited to simple automation but are capable of reasoning, analyzing enterprise-wide data, and making recommendations. This scale also lays the foundation for agentic applications. Future of SaaS Reimagined: Miranda makes it clear that SaaS is undergoing a fundamental transformation. Traditional applications will coexist with agentic systems for now, but the long-term trajectory points toward AI-driven interfaces becoming dominant. Oracle plans to expand agentic capabilities across its entire application suite, from finance to supply chain to HR. As AI-to-AI interactions and data integration improve, these systems will become even more powerful. The Big Quote: “These are agents where you're giving the agent a business outcome and a goal, and the agents [are] recommending to you optimizations or how you get there. And then you, as a user or human in the middle of this process, actually instruct those agents on which of the plans to execute, and it goes ahead and automates and executes those transactions. So it's a fundamentally different way of presenting the applications." More from Steve Miranda: Connect with Steve on LinkedIn or learn more about AI agents for Fusion Applications. Visit Cloud Wars for more.

In this episode of FP&A Unlocked, Paul Barnhurst is joined by Vincent Messina and Ilana Esterrich to discuss how organizations should approach ROI and transformation. They dive into why traditional ROI methods often fail, the concept of Return on Change, and how financial leaders can better manage software implementations and drive business outcomes.Vincent is a seasoned enterprise software sales leader with over 25 years of experience. Vincent is currently the Northeast Director of business development at UHY, a CPA firm, and works on advising CFOs through his partnership with UHY. Ilana is the Chief Financial Officer at Planned Parenthood Federation of America, where she oversees a comprehensive portfolio, including accounting, treasury, compliance, and financial planning.Expect to Learn:Why ROI calculations often fail and how Return on Change provides a more effective approach.How to align financial decisions with business outcomes.The evolving role of FP&A professionals in driving decisions beyond traditional reporting.Key strategies for managing change during financial transformations.Here are a few relevant quotes from the episode:“The real value comes when technology enables people to do different, more impactful work.” - Vincent Messina“As CFOs, our job is to help guide the organization by providing the right insights for informed decision-making.” - Ilana EsterrichVincent Messina and Ilana Esterrich emphasize the importance of shifting from traditional ROI to Return on Change in financial transformations. They highlight the crucial role of FP&A professionals in driving strategic decisions and managing change effectively.Campfire: AI-First ERP:Campfire is the AI-first ERP that powers next-gen finance and accounting teams. With integrated solutions for the general ledger, revenue automation,close management, and more, all in one unified platform.Explore Campfire today: https://campfire.ai/?utm_source=fpaguy_podcast&utm_medium=podcast&utm_campaign=100225_fpaguyFollow Vincent:LinkedIn: https://www.linkedin.com/in/vmessina/Company: https://uhy-us.com/Follow Ilana :LinkedIn: https://www.linkedin.com/in/Ilanaesterrich/Website: https://www.plannedparenthood.org/Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[02:30] – Introducing Vincent Messina[02:55] – Introducing Ilana Esterrich[05:00] – What Great FP&A Looks Like[08:00] – Why ROI Fails in Transformations[13:00] – Shifting from ROI to Return on Change[19:00] – The Importance of Consensus in Transformation[25:00] – Business Outcomes vs. Software Decisions[30:00] – How to Make Change Work[35:00] – Mindset Shifts in CFOs and FP&A[40:00] – Final Thoughts

Aadil Kazmi of Infios talks about purposeful innovation; intelligent execution; tech readiness; and turning AI into measurable business outcomes. IN THIS EPISODE WE DISCUSS: [02.14] An introduction to Aadil, and an overview of Infios. "Supply chains run best when operators can execute them on a single stack." [03.20] How Aadil's experience at Amazon sparked an entrepreneurial journey that ultimately led him to Infios. "When retailers and shippers offered faster shipping to their end customers, cart values and repeat rates went through the roof. That led me deep into supply chain..." [05.17] Aadil's focus in his role as Head of AI, what excites him, and what keeps him up at night. "We're using our own tools internally to produce what our customers will eventually use." [08.32] What purposeful innovation means to Infios, and the big unlock that happened three years ago that changed the game for AI. "We partner with customers to develop only use case driven AI workflows." "Purposeful innovation is looking at what workflows within our business depend on unstructured data and reasoning, and focusing on those for AI automation... Not everything is a fit for Gen AI." [12.08] What AI agents mean in the context of supply chain, how they're being used now, and how we can understand automation through a three-level phased framework. [15.31] How AI agents compare to traditional automation, and how businesses can decide which is the right fit for each challenge or workflow. "When companies embark on their automation journey, they should start with the highest leverage ROI workflows that have the lowest risk factor." [19.15] The challenge of organizational debt, and leaning into AI readiness by connecting people's tribal knowledge to contextualize AI decision-making. [21.41] How Infios are meeting customers where they are to overcome technology debt with intelligent orchestration. [24.55] What Aadil's Executive Roundtable at Manifest uncovered about intelligent supply chain, and how to get the most from AI adoption. "You can't just throw AI at a problem… The best way to adopt AI is to actually pull the workflow and, from a first principles perspective, re-engineer it from the ground up to be AI native." [28.31] Why technology readiness is still a big constraint on connected execution, and why AI ambition is yet to meet execution reality. [29.23] How businesses can move toward intelligent connected supply chain execution to turn purposeful AI into business outcomes, and how to measure success. [33.17] What teams should do now as they plan for the year ahead.   RESOURCES AND LINKS MENTIONED: Head over to Infios' website now to find out more and discover how they could help you too. You can also connect with Infios and keep up to date with the latest over on LinkedIn or YouTube, or you can connect with Aadil on LinkedIn. If you enjoyed this episode and want to hear more from Infios, check out 520: Enter the New Era of Supply Chain Management, with Infios. Check out our other podcasts HERE.  

We're excited to kick off Season 4 with our new host, Pauline Taylor, VP of People at HowNow!Join us for an engaging discussion with Ian Walker, an industry leader and expert in Learning and Development (L&D), as he explores the transformative power of L&D in driving business outcomes. In this episode, Ian highlights the crucial role L&D plays in unlocking potential, fostering collaboration, and enhancing organizational culture.The conversation covers the significance of effective onboarding, the impact of mentorship and coaching, and the emerging influence of AI on learning practices. Ian also shares his experiences in building cohesive L&D programs, the importance of continuous learning, and practical strategies for measuring the business impact of L&D initiatives.This episode offers valuable insights for anyone looking to elevate learning and development within their organization.To learn more about HowNow, you can chat with the team here: HowNow Demo

Is 2026 the year AI finally has to prove it is worth the investment? In this episode, I'm joined by Chris Riche-Webber, VP of Business Intelligence and Analytics at SmartRecruiters, to explore why so many AI and agentic AI initiatives stall after the pilot phase and what separates the projects that scale from the ones that quietly disappear. With Gartner predicting that more than 40 percent of agentic AI programs could be cancelled by 2027, Chris brings a pragmatic, data-led perspective on what is really happening inside organizations as the hype meets operational reality. We talk about the fundamentals that have not changed despite the new technology. Influence, clearly defined problems, measurable impact, and adoption still determine success, yet they are often overlooked in the rush to deploy the latest tools. Chris explains why "good vibes" are no longer enough in front of a CFO, how to baseline outcomes properly, and why ownership of results is one of the most common missing pieces in enterprise AI programs. A big part of the conversation focuses on what Chris calls the "agent washing" problem. Just as products are sometimes marketed with fashionable labels that do not reflect their real value, many solutions are being positioned as agentic without delivering true autonomy or business outcomes. We discuss how leaders can cut through the noise by asking better questions, aligning technology to specific use cases, and recognizing when simple automation is the right answer. Trust, adoption, and measurable ROI emerge as the three signals that determine whether an AI initiative survives. Chris shares a clear framework for defining these signals in a way that is consistent, comparable over time, and meaningful to the executive team. We also explore how connecting talent decisions to revenue, productivity, and retention changes the conversation, especially in the context of SmartRecruiters' broader SAP ecosystem and the opportunity to link people data directly to business performance. This is a conversation about moving from experimentation to accountability, from buying narratives to solving real problems, and from technology-first thinking to outcome-first leadership. So as the window for easy wins closes and the demand for proof of value grows, will your AI strategy be remembered as a pilot that generated excitement or as an initiative that delivered measurable business impact?

Welcome to the latest episode of L.I.F.T.S,  your bite-sized dose of the Latest Industry Fitness Trends and Stories. In this special live episode from the Connected Health & Fitness Summit 2026 in Los Angeles, Matthew Januszek and Mohammed Iqbal sit down with four leaders shaping the future of performance, longevity, franchising, and workforce training. Guests include: Douglas Gremmen (HYROX): On building one of the fastest growing competitive fitness brands in the world and why purpose-driven training is the ultimate disruptor. Dean Kelly (Extension Health): On physician-led longevity, advanced diagnostics, and the shift from conversation to clinical outcomes. Julie Cartwright (PVOLVE): On scaling an omni-channel fitness brand and the emotional responsibility of franchising. This episode explores the balance between AI and human intelligence, the rise of team-based competition, the evolution of longevity medicine, and how modern training systems are transforming frontline industries. Key Topics Include: How HYROX built a global competitive ecosystem without competing with gyms. Why doubles competition is redefining community in fitness. The difference between influencer-driven biohacking and physician-led longevity care. The realities of scaling a franchise brand in today's market. How AI-powered training systems are improving workforce performance. The importance of human connection in an AI-native world.

Today's episode of the Punk CX podcast features three interviews I recorded whilst at Medallia's Experience event in Las Vegas on the 10th, 11th and 12th February. The interviews are with Sid Banerjee, Chief Strategy Officer at Medallia, Mike Murchison, co-founder and CEO of Ada, and Paloma Paraja, Customer Experience Manager at Santalucia Seguros. We cover the big themes of the conference, the latest developments at Medallia, agentic CX, building an ACX team, the importance of context in empathy and what it takes to deliver an award-winning customer experience. This interview follows on from my recent interview – The dangers of a CCaaS monoculture – Interview with Paul Hughes of Mitel – and is number 574 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

Bell Canada's Director of Enterprise Customer Product Management, Salma Bezrati, shares how Network-as-a-Service is transforming connectivity into an on-demand, AI-enabled, cloud-like experience that's elastic, usage-based, and outcome-driven. But delivering true NaaS demands new technology, new operating models, and cultural change. Are service providers ready to reinvent themselves for this shift?  In this Executives at the Edge episode, host Pascal Menezes explores these topics and more with... Read More The post Network-as-a-Service: From Bandwidth to Business Outcomes  appeared first on Mplify.

At Davos this year, some of the biggest names in tech sent a clear signal. AI is no longer a novelty. It is no longer a proof-of-concept exercise. As Demis Hassabis of Google DeepMind suggested, AI will shape more meaningful work. And Satya Nadella of Microsoft was even more direct. AI only matters if it improves real outcomes for people. So what does that look like inside the enterprise? In this episode of Tech Talks Daily, I'm joined by Andrew Boyagi, Customer CTO at Atlassian, to unpack how the conversation has shifted from experimentation to execution. Developers, in many ways, are the perfect lens for understanding this moment. Over the last two decades, their role has expanded far beyond writing code. They now own products, infrastructure, operations, and business outcomes. AI is simply the next chapter in that evolution. Andrew argues that AI will not replace engineers. It will raise expectations. As intelligent tools absorb repetitive work, the real value moves up the stack. System design. Architectural thinking. Reviewing and refining AI-generated output and orchestrating solutions that solve genuine business problems. And through it all, humans remain firmly in the loop. We also explore what this means for leadership, why mindset is starting to matter more than technical skill alone, how organizations can avoid layering AI on top of broken processes. And why the companies pulling ahead are treating AI as a strategic discipline, not a feature upgrade. This is a conversation grounded in reality. It speaks to product leaders, CTOs, CIOs, and anyone asking a simple but powerful question. If we are investing in AI, what are we actually getting back? And before we close, we look ahead to Team '26 and the themes Andrew and his team are already working on.  If this year has been about proving value, what will the next chapter demand from enterprise leaders? As always, I'd love to hear your thoughts. Are you seeing proof of value in your organization yet, or are you still working through the pilot phase?

Most organisations say Strategic Workforce Planning is a priority. Far fewer are prepared for what that actually requires. Because the challenge isn't just predicting how many people you'll need. It's understanding how work itself is changing, how skills are shifting beneath stable job titles, and how today's hiring, reskilling, and entry-level decisions are quietly shaping capability and leadership risk years into the future. In this episode of the Digital HR Leaders podcast, David Green is joined by Vincent Barat, Founder and CEO of Albert, to explore whether organisations are thinking about Strategic Workforce Planning at the right level - and what it really means to make workforce planning truly strategic in today's environment. Drawing on Vincent's experience working at the intersection of business strategy, skills, and workforce dynamics, this conversation explores: Why SWP is shifting from a planning exercise to a capability and risk discipline What truly puts the “strategic” in Strategic Workforce Planning beyond headcount and budgeting Where organisations most often struggle when trying to move from SWP theory to execution How AI is reshaping skills and tasks beneath job titles, and the implications for reskilling and redeployment Why reduced entry-level hiring today could create leadership and succession challenges tomorrow The practical priorities HR and people analytics leaders should focus on right now This episode is sponsored by Albert. Albert is your strategic workforce planning co-pilot, built for global HR leaders who are done with Excel, chaos, and finance-led headcount cuts. Albert helps you decode complex people data, anticipate change, and make confident, cost-saving decisions on skills and hiring without hiring a single analyst. Discover how to handle the people side of your long-range plan with zero guesswork at albertapp.com/davidgreen Links to resources: The SWP Cookbook Hosted on Acast. See acast.com/privacy for more information.

Double Take hosts Rafe Lewis and Jack Encarnacao are joined by industry experts from the 2026 Consumer Electronics Show to explore how quantum computing can drive business outcomes, highlighting real breakthroughs, adoption timelines and where early investment opportunities may emerge.

In this episode of Better Business, Better Life, Debra Chantry-Taylor is joined by David Hori, a business acquisition specialist who has led and supported multiple successful exits, including a sale to Toyota.David unpacks why exit planning is not a future event but a leadership discipline that needs to start early. He explains how strong teams, clear processes, and transparency create real business value and allow a business to operate without its founder at the centre. Drawing on his experience across VC-funded startups, acquisitions, and exits, David shares practical insights into building businesses that are genuinely exit-ready.The conversation explores the role of EOS in reducing owner dependency, the importance of involving the leadership team in exit conversations, and why understanding valuation drivers early gives owners more choice and control. David also shares details of his upcoming webinar series designed to help business owners navigate exit planning with clarity and confidence.This episode is essential listening for founders who want optionality, continuity, and a business that can thrive beyond them.CONNECT WITH DEBRA:         ___________________________________________         ►Debra Chantry-Taylor is a Certified EOS Implementer | Entrepreneurial Leadership & Business Coach | Business Owner►Connect with Debra: debra@businessaction.com.au►See how she can help you: https://businessaction.co.nz/ ►Claim Your Free E-Book: https://www.businessaction.co.nz/free-e-book/ ___________________________________________  GUEST'S DETAILS:  ► David Hori – LinkedIn: https://www.linkedin.com/in/iamdavidhori/►Topline Operators – Website: https://www.toplineops.com/Episode 257 Chapters:  00:00 – Introduction 00:47 – Introduction and Overview of Business Outcomes   01:23 – David Hori's Background and Expertise   02:39 – David's Journey from Law Firm to VC-Funded Startups   05:28 – The Importance of Processes and Systems in Scaling  07:15 – Scaling and the Theory of Constraints   08:09 – Factors Influencing VC-Funded Business Success   10:16 – The Role of Transparency and Team in Exit Planning   14:11 – David's Experience with the Toyota Exit   16:21 – Key Considerations for Business Owners Planning an Exit   26:16 – David's Tips for Business Owners Considering an Exit   33:54 – David's Upcoming Webinar on Exit Planning  

Sales Engineering and Business Development are no longer support functions - they are central to how modern B2B deals are won. In this episode, we explore how Sales Engineers drive real business outcomes, not just technical validation. On the B2B Sales Trends Podcast, host Harry Kendlbacher sits down with Nirav Sheth, VP of Global Sales Engineering at Pure Storage, to unpack how Sales Engineers evolve into trusted advisors across the full sales cycle — from discovery to long-term value creation. This episode is part of our Best Of series, highlighting timeless conversations from the B2B Sales Trends Podcast.

The world of IT is becoming increasingly complex, making the need for real-time visibility and intelligence more critical than ever. In this episode, we sit down with Principal Technologists Michael Sasse and Matthew Bednar to explore the expanding field of data observability. We dive deep into defining observability—moving beyond basic latency graphs to equating system metrics and machine data with actual business outcomes. Hear their perspectives on why observability is now at the forefront of every IT leader's mind. Our conversation then veers to tackle the current state of "Shadow Observability," where an accumulation of different tools and creation of siloed teams leads to data fragmentation across cloud, data center, and security platforms. They underscore the necessity for a centralized, single point of truth and a unified strategy that prevents individual team decisions from negatively impacting the broader environment. Finally, our guests reveal how Pure Storage is participating in the movement toward standardization and centralization. We detail the evolution of Pure1 and a strategic shift from pull-based Open Metrics to real-time, push-based Open Telemetry, ensuring seamless integration across Pure's platform of storage array products.. Learn how this foundational platform approach, championed by Fusion and the Enterprise Data Cloud vision, empowers IT to move from being a cost center to a critical business partner that can tangibly link infrastructure efforts to financial results. To learn more, visit https://blog.purestorage.com/products/enhance-visibility-with-our-new-data-observability-and-monitoring-service/ Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 08:30 Defining Observability 13:52 Stat of the Episode 25:49 Pure1 and Observability 28:25 Using APIs for Open Telemetry Output 32:49 Key Native Observability Integrations 39:25 Hot Takes Segment

Jeff Barry is simplifying complexity inside one of the most operationally demanding supply chains in the country. As Head of Innovation at Dot Foods, the nation's largest foodservice redistributor, Jeff shares how enterprise innovation moves faster and more accurately when it's centralized, CEO-aligned, and always tied to real business outcomes. Jeff breaks down innovation as a four-lap relay race—where innovation runs the first laps through insight, experimentation, and guidance, then hands the baton to the business to deliver ROI. We explore why experiments beat pilots, how running 20–30 tests a year accelerates learning without heavy resource deployment, and why truly understanding a problem means living it—on the docks, in the trucks, and with customers. Jeff also explains why innovation can't be done to or for the business, but only with it, how external perspectives unlock progress inside complex organizations, and why the real challenge isn't technology—it's learning faster than your environment is changing.

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode of Cloud Wars Live, Bonnie and Bob explore why AI success hinges far more on implementation than hype. As the AI economy moves from experimentation to everyday business reality, Bonnie shares research-backed insights from hundreds of enterprise HR projects showing that poorly executed implementations quietly derail AI value.Episode 57 | Implementation Before IntelligenceThe Big Themes:Implementation Determines AI Value: AI success is not driven by algorithms alone — it is directly tied to the quality of enterprise software implementation. Analysis of 500 HR projects shows a strong correlation between implementation effectiveness and AI-driven business outcomes. Organizations with successful implementations realized nearly twice the value from AI initiatives compared to those with partial or failed rollouts.Data Readiness Is the Biggest Barrier: The most common reason AI initiatives fail is insufficient data maturity. Clean, standardized, and integrated datasets — particularly across HR, finance, and operations — are essential. Disparities between systems like payroll, talent management, and time tracking undermine AI effectiveness. Enterprises with unified data architectures unlock far greater AI value because insights can flow across the business, enabling agents and analytics to operate holistically rather than in silos.Process Discipline Is Rewarded: AI rewards disciplined organizations and punishes undisciplined ones. Well-defined workflows, governance structures, and operational rigor enable AI to perform as intended. Without them, AI exposes inefficiencies and compounds chaos. This explains why AI often “fails” during implementation rather than in production. The technology is rarely the issue, organizational readiness is. AI simply shines a spotlight on how well the business actually runs.The Big Quote: “AI does not replace process discipline. It rewards it."More from Bonnie Tinder:Connect with Bonnie on LinkedIn. Visit Cloud Wars for more.

Send us a textThe ground is moving under our feet, and that's exactly why this conversation matters. We sit down with Sandy Carter to unpack a practical path through the AI hype: start with outcomes, feed models with clean, structured data, and never skip the human change that decides whether an initiative sticks or stalls. From executive playbooks to frontline tactics, we get specific about what works, what fails, and how to build trust when synthetic media blurs what's real.We dive into the convergence of AI and blockchain and why verification is becoming a core product feature. Deepfakes and misinformation are not just PR problems—they are customer experience problems. Provenance, identity, and ownership give teams a way to show their work and earn belief. Then we turn to discovery. SEO still matters, but GEO—generative engine optimization—is stealing the spotlight. Executives increasingly ask LLMs for the “top five” solutions and stop there. To make that list, brands need credible signals in the places models pull from: thoughtful Reddit threads, up-to-date Wikipedia entries, technical explainers, and answers crafted for natural questions, not just keywords. We talk tactics, from UTMs for answer engines to content designed for prompts, entities, and clarity.The future is humans plus machines. Agents collaborate, robots learn by watching, and even a pizza-delivery humanoid sparks new questions: if the robot selects the drink, who does the brand persuade—the family or the agent? As homes and workplaces adapt to new hardware, marketers will build for both human preference and agent defaults. Through it all, Sandy's message stays grounded: align AI to real business value, protect what must remain private, open what should be discoverable, and communicate clearly so people understand the why, the how, and the benefit.This episode was recorded through a Descript call on November 26, 2025. Read the blog article and show notes here:  https://webdrie.net/why-winning-with-ai-starts-with-business-outcomes-clean-data-and-putting-people-first/If this conversation gave you a roadmap for smarter AI strategy, follow the show, share it with a friend, and leave a quick 5-star review so others can find it too. Your feedback shapes what we explore next...........................................................................

Procurement may just be one of the most social functions in the company. Not only does the team have to interact successfully with the executive team, budget holders, other stakeholders, and suppliers, but they must do so without having authority over any of them. Their relational skills - including communication, negotiation, and influencing - are constantly being put to the test.   In this episode of The Sourcing Hero podcast, Host Kelly Barner welcomes Matthieu Garnier. Mattheu has extensive procurement experience, including in the automotive industry, where the results of a negotiation or a relationship are felt long into the future.   Matthieu shares his personal philosophy on the humanity of procurement, and why that will make all the difference as the world of business becomes increasingly AI-driven: The value of investing in a professional community Why procurement needs to develop their listening skills just as much as their communication and negotiation skills How to balance being relational with being tough, as circumstances require Procurement's opportunity to ‘shine a light' in the grey spaces that every company must travel through   Links: Matthieu Garnier on LinkedIn

In this episode, David James, Chief Learning Officer at 360Learning and host of the Learning and Development Podcast, shares insights on how training should directly relate to the work employees do. He emphasizes that effective training isn't just about delivering broad topics, but about addressing the real needs and skills required for specific roles. The discussion covers the importance of integrating learning with everyday work, focusing on closing proficiency gaps, and using data-driven approaches to development. Listeners will also hear practical advice on mapping out essential skills for teams and defining what good performance looks like. This conversation is especially valuable for managers and organizations aiming to align their training programs more closely with business outcomes.

In this Cloud Wars Live podcast, Bob Evans sits down with Hayete Gallot, President, Google Cloud Customer Experience, to explore how Google Cloud is helping enterprises move from AI experimentation to true business transformation. Gallot describes how her organization unifies engineering, consulting, partners, and learning to accelerate time-to-value and scale agentic AI across every function. Together, they dive into Gemini Enterprise, customer successes like Virgin Voyages, and why human-centered change is the real key to AI's future.The AI Turning PointThe Big Themes:Customer Experience Built for the AI Era: Google Cloud created a new Customer Experience organization, led by Hayete Gallot, to match the speed and complexity of AI-driven transformation. Instead of treating AI as a pure technology play, the team unifies industry and solutions experts, customer engineers, consulting, partners, and learning into one group that supports the full innovation lifecycle. That means they can help customers go from idea to minimum viable product to production in a consistent, repeatable way.Ecosystem, Partners, and Curated AI Solutions: Google Cloud's ecosystem strategy is central to scaling AI transformation. Gallot describes deep investment in system integrators — not just training them on technology, but sharing methodologies and scenario-based approaches so they can guide customers toward the right AI choices. At the same time, Google Cloud works with top ISVs to embed AI into their solutions and create compatible protocols for multi-agent experiences.Structuring Tech Teams for Agentic Transformation: AI's rise is forcing technology organizations to evolve. Gallot notes that CTOs and CIOs are asking how to restructure their teams for an “agentic” world. The demand is no longer just for deep technical skills, but also people who understand user experience, behavior, and business workflows. Technology teams are increasingly expected to co-design scenarios with business leaders, not just implement requirements. Looking ahead to 2026, Gallot sees the priority as scaling agentic transformation across divisions.The Big Quote: "Customers are much more mature on AI … When you meet with them, they're [asking] what's in it for me? What am I going to get? When am I going to get it? How do I scale this? They want production, and they want outcome." Visit Cloud Wars for more.

(04:00) Brought to you by UnleashUnleash is a private, flexible, and scalable feature flag system that lets teams decouple deployments from releases. It reduces the risk of shipping new features and gives organizations real-time control over what reaches production. And as AI accelerates development, Unleash helps engineering teams move fast and stay stable with safe rollouts and instant kill switches. Start a free trial of Unleash at ⁠getunleash.io/pricing⁠.Why do so many software projects still fail despite modern tools? The answer often lies in the psychology of the team, not the technology stack.Software development is often viewed purely as a technical challenge, yet many projects fail due to human factors and cognitive bottlenecks. In this episode, Adam Tornhill, CTO and Founder of CodeScene, shares his unique journey combining software engineering with psychology to solve these persistent industry problems. He explains the concept of “Your Code as a Crime Scene,” a method for using behavioral analysis to identify high-risk areas in a codebase that static analysis tools often miss.Adam covers the tangible business impact of code health, specifically how it drives predictability and development speed. He explains why 1-2% of our codebase accounts for up to 70% of our development work, and how focusing on these hotspots can make our team 2x faster and 10x more predictable. Adam also provides a critical reality check on the rise of AI in coding, exploring whether it will help reduce technical debt or accelerate it, and offers strategies for maintaining quality in an AI-assisted future.Key topics discussed:Combining psychology and software engineeringWhy predictability matters more than speedTreating your codebase as a crime sceneBehavioral analysis vs. static analysisThe hidden danger of the “Bus Factor”Will AI help or hurt code quality?Why healthy code helps both humans and AIEssential guardrails for AI-generated codeTimestamps:(00:00) Trailer & Intro(01:29) Career Turning Point: From Developer to Psychologist(02:36) Combining Psychology and Software Engineering(04:00) Why Engineering Leaders Need Psychology Knowledge(05:46) The Root Cause of Failing Software Projects(07:43) Why Code Abstractness Makes Quality Hard to Measure(09:29) Aligning Code Quality with Business Outcomes(11:37) Code Health: 2x Speed, 10x Predictability(12:58) Why Predictability is Undervalued in Software(19:53) Introducing “Your Code as a Crime Scene”(21:57) Behavioral Code Analysis: Hotspot Analysis vs Static Code Analysis(24:06) Behavioral Code Analysis: Understanding Change Coupling(26:30) Dealing with God Classes(29:40) Behavioral Code Analysis: The Social Side of Code(31:33) Why Developers Aren't Interchangeable(33:14) Introduction to CodeScene(36:48) Will AI Help or Hurt Code Quality?(39:14) Essential Guardrails for AI-Generated Code(42:06) Using CodeScene to Maintain Quality in the AI Era(43:06) How AI Accelerates Technical Debt at Scale(45:54) Why AI-Friendly Code is Human-Friendly Code(48:32) Documentation: Capturing the “Why” for Humans and AI(50:42) The Reality Check: Future of Software Development with AI(52:41) 3 Tech Lead Wisdom_____Adam Tornhill's BioAdam Tornhill is the founder and CTO of CodeScene and the best-selling author of Your Code as a Crime Scene. Combining degrees in engineering and psychology, Adam helps companies optimize software quality using AI-driven methodologies. He is an international keynote speaker and researcher who enjoys retro computing and martial arts in his spare time.Follow Adam:LinkedIn – linkedin.com/in/adam-tornhill-71759b48CodeScene – codescene.com Your Code as a Crime Scene – pragprog.com/titles/atcrime2/your-code-as-a-crime-scene-second-editionLike this episode?Show notes & transcript: techleadjournal.dev/episodes/241.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to unpack why the gap exists between AI hype and actual impact, and what it takes to make AI scale, explainable, and ROI-driven.From the shift toward “AI with ROI” to the new era of human + AI systems and data quality challenges, Sumeet shares how leading enterprises are moving from flashy demos to measurable value and trust in the next phase of AI. CHAPTER MARKERS00:00 The AI Hackathon Era03:10 Hype vs Reality in Agentic AI06:05 Redesigning the Human AI Interface09:15 From Demos to Real Economic Outcomes12:20 Why Scaling AI Still Fails15:05 The Importance of AI Ready Knowledge18:10 Data Quality and the Biggest Bottleneck20:46 Building the Customer 360 Knowledge Layer23:35 Push vs Pull Systems in Modern AI26:15 Rethinking Enterprise Workflows29:20 AI Agents and Outcome Driven Design32:45 Where Agentic AI Works Today36:10 What Enterprises Still Get Wrong39:30 How AI Changes Engineering Priorities55:49 The Future of GPUs and Efficiency Challenges -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

During this episode, Santosh is joined by Wayne Usie, EVP of Market Development at Blue Yonder. Wayene shares his journey into supply chain software and discusses how Blue Yonder leverages AI, automation, and data to power next-generation supply chains. The conversation also covers the importance of domain-specific solutions, the development of AI-powered agents for warehouse and logistics management, the evolving workforce, and innovations in returns management. Key takeaways include the growing impact of AI on operational efficiency, the vital role of trust and transparency, the industry's shift toward more autonomous, data-driven supply chains, and so much more. Highlights from their conversation include:Introduction and Wayne Usie's Journey to Supply Chain (0:11)Blue Yonder's Evolution and Embracing AI in Supply Chain (3:00)Interoperability, Data, and the Power of Agents (6:27)Building Trust and the Scale of AI Predictions (9:27)The Importance of Domain-Specific Solutions (13:27)Business Outcomes and AI Value in Retail (16:27)Workforce Transformation and Human-AI Collaboration (18:56)Returns Management and Holistic Inventory Strategies (21:48)Future Predictions: The Autonomous Supply Chain (24:58)Rapid-Fire "This or That" Closing Segment (27:27)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Juan Loaiza is the EVP of Database Technologies at Oracle. In today's special episode of Cloud Wars Live, Loaiza joins Bob Evans to discuss how AI is transforming the way businesses interact with data. He spotlights Oracle's new AI-native database, the importance of trust and security in enterprise AI, and why business users now play a bigger role in data strategy. It's a revealing look at how Oracle is shaping the future of intelligent data systems.The AI Data RevolutionThe Big Themes:Trust, Governance, and Privacy Must Be Built Into the AI‑Data Stack: One of the strongest points made by Loaiza is about the risk of AI in enterprises: hallucinations, mis‑use of data, privacy violations, regulatory consequences. When mission‑critical systems (hospitals, banks, telecoms) are involved, errors are unacceptable and can be illegal. Oracle's approach is to embed privacy and access controls down into the database engine: the system knows who the end user is, what they can see, and ensures AI cannot leak unauthorized data.Multi‑Cloud, On‑Premises, Hybrid — Customers Want Flexibility: Loaiza describes how Oracle is enabling customers to run their database and AI workloads wherever they need: on‑premises, in public clouds (AWS, Azure, Google Cloud), or via “cloud at your data center” options like Exadata Cloud@Customer. This speaks to regulatory, latency, data sovereignty and operational constraints. For enterprises, the takeaway is that deployment flexibility is essential. A one‑size‑fits‑all cloud model may not meet strategic needs.Business Users and Developers Now Have Voices in Database Strategy: Historically, databases were the domain of DBAs, IT operations, and infrastructure teams. Now business users and developers also have meaningful voices because of AI democratizing access. This shift means organizational structures, roles and processes must change. Data governance, training, tool‑selection and deployment pipelines need to reflect that the “consumer” of the database is broader.The Big Quote: “[AI] can translate English to this language of computers, the language of data, which is SQL. So, what that means is you don't have to learn this crazy language anymore. So pretty much anyone, business people, lay people, can now talk using their normal natural language to the database, and the database will understand what they're saying and give them answers, build applications to all these and this is something I honestly never thought I'd see in my entire life, and it's here today."More from Juan Loaiza and Oracle:Follow Juan on LinkedIn or learn more about Oracle's approach to security. Visit Cloud Wars for more.

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, she shares powerful insights from leading organizations on how AI is being used not to replace employees, but to enhance experiences, streamline operations, and drive better business outcomes through purpose-driven, human-centered deployment strategies.Episode 56 | Human-Centered AI StrategiesThe Big Themes:Augments, Not Replaces Humans: AI should enhance the human experience, not eliminate it. Real-world examples, such as Marriott's use of AI to improve the check-in process, demonstrate that AI can remove operational friction and allow frontline staff to focus on hospitality and customer engagement. In the energy sector, utilities are embedding AI into safety systems to make work more accurate and proactive. These examples show that the most successful AI deployments begin by identifying pain points in human workflows.Cultural Readiness Is Crucial for AI Success: AI adoption is not just a technical project; it is a cultural transformation. Multiple examples made it clear that even the most advanced tools can fail without the right introduction. One university CHRO compared AI implementation to sneaking vegetables into meals. By avoiding technical jargon and focusing on small improvements, they saw stronger adoption. People often resist what they do not understand, especially when it feels like a threat. Leaders who frame AI as a tool for reducing stress, reclaiming time, and increasing impact are more likely to succeed.AI Should Start with Outcomes: Real AI value begins with the business goal, not the technology itself. Companies that succeed with AI are the ones that begin by identifying the result they want to achieve. Whether it's streamlining hotel check-ins, reducing safety risks in energy infrastructure, or accelerating clinical breakthroughs, effective strategies start with specific problems. These companies ask their teams where the friction lies, and then choose tools to fix those issues. This is a shift from a technology-first mindset to an outcome-first mindset.The Big Quote: “I hope you know business people will all start to get to the point of like, yes, the nature of work is going to change. But AI is not going to spell doom and gloom for every worker on Earth. It's going to give many, many, many of them an opportunity to do better things." Visit Cloud Wars for more.

Send us a textRamzi Marjaba is a seasoned Solution Engineer and consultant currently with Veeam Software, working remotely from Ottawa since March 2025. Prior to this, he spent nearly four years as a Senior Solution Specialist at Keysight Technologies, managing Eastern Canada accounts and mentoring both SEs and account executives. Earlier in his career, he held technical roles at Spirent Communications, Alcatel‑Lucent, and Nortel, starting as an embedded software tester and evolving into a network design engineer and systems engineer.In 2018, Ramzi founded We the Sales Engineers, a coaching platform and podcast designed to help sales engineers grow through thoughtful conversation, expert mentorship, and practice‑based learning. With hundreds of episodes and written content to his name, he's built a global community for pre‑sales professionals seeking to sharpen their craft.Ramzi emphasizes the difference between treating symptoms versus diagnosing root business needs—with a heavy focus on discovery, customer context, and vision building. He often compares SEs to business athletes: they don't get to practice outside the field, and must deliver under pressure with clarity and impact. He also explores the evolution of presales roles in a shifting job market, noting the increasing competitiveness and need for strategic, value‑centered hiring.Outside of client work, Ramzi mentors aspiring SEs, runs podcast and written series, and leads workshops—from quick discovery techniques to advanced whiteboarding and objection management.  LINKS:Guest LinkedIn: https://www.linkedin.com/in/ramzimarjaba/?originalSubdomain=caGuest website: https://wethesalesengineers.com/ Aaron Moncur, hostClick here to learn more about simulation solutions from Simutech Group.

In today's Cloud Wars Minute, sponsored by CLOUDVICE, I explore how Oracle's new CEOs, Mike Sicilia and Clay Magouyrk, are steering the company deeper into the AI revolutionHighlights00:00 — Today's episode is brought to you by CloudVice, winner of the 2025 Oracle North America Technology and Cloud AI Innovation Partner Award. “We're honored to receive the 2025 Oracle North America Technology & Cloud AI Innovation Partner Award, a recognition that underscores CLOUDVICE's unwavering commitment to advancing enterprise AI on Oracle Cloud,” said Jaison Correya, CEO of CLOUDVICE. “This achievement reflects the breakthrough projects and real-world transformations we've delivered with Oracle — and at Oracle AI World 2025, we took that vision even further by unveiling CORX, our next-generation platform where AI thinks, Cloud scales, Blockchain verifies, and Robotics acts. It represents the next leap in intelligent automation and the future of real-world autonomy."00:25 — So, we're beginning to hear the strategies Oracle's two new CEOs are taking. That's Mike Sicilia and Clay Magouyrk. It's clear they think that Oracle's supremacy in data and infrastructure is going to make them successful in AI — to the point that their main focus is: how do we drive great customer outcomes using AI services?01:20 — And Oracle's plan, which they've been talking about a little bit and will unveil this week in much more detail, is that while LLMs currently work with public internet data, they're going to make available — very securely, privately, and with all requisite compliance — enterprise data that also can be accessed by those LLMs.02:21 — Clay Magouyrk talked a bit about the work Oracle has done to reach the point where its infrastructure is seen as superior. Magouyrk said that inside Oracle, the idea came up — “What if we shrunk the cloud down to a very tiny size? Could we get better performance, and could we give more deployment options to customers?” — it turned out that was exactly the case.03:28 — This week at Oracle AI World, they're going to introduce a new cloud bundle that has three racks — from 40 to three. Also, the stunning multicloud agreements that Oracle has reached with other hyperscalers — Microsoft, Google Cloud, and AWS — mean that those three competitors of Oracle sell the Oracle Database to their customers through their own clouds.04:21 — Because for all the things Oracle has done in its first 48 or 49 years, the next five years, triggered by all these changes we've just described, are going to be very different. Sicilia said, “One of the things you can count on as we move forward into those next five years is that we are currently, at Oracle, taking a very different approach.” Visit Cloud Wars for more.

SUMMARY In this episode of the Building Better Cultures podcast, Sadhbh O'Flaherty takes over the mic to interview Scott McInnes about his recent research titled 'Mind the Gap.' The research explores the cultural challenges organisations face today, particularly through the lens of Chief People Officers (CPOs) in Ireland. The conversation delves into the motivations behind the research, key findings, and actionable insights for organisations looking to improve their culture. Key themes include leadership skill and will, the role of managers, the importance of learning and development, accountability for values, and the challenge of disconnection in the workplace. Scott emphasises the need for intentionality in creating a strong organisational culture that aligns with business strategies.  Mind The Gap Research: http://bit.ly/4gXtNp2    TAKEAWAYS Connection among HR leaders is crucial.  Understanding culture challenges requires frontline insights.  Leaders set the tone for organisational culture.  Everyone in the organization owns the culture.  Managers play a key role in translating values to teams.  Learning should be prioritized beyond formal courses.  Accountability for values strengthens organisational culture.  Feedback is essential for personal and professional growth.  Intentionality is key in fostering workplace connections.  Culture impacts business outcomes significantly.    CHAPTERS 00:00 Introduction to the Podcast and Research 02:02 The Motivation Behind the Research 04:28 Leadership Skill and Will 06:55 The Manager Factor 10:54 Skills for Today and Tomorrow 15:09 Accountability for Values 20:54 The Challenge of Disconnection 27:22 Surprises from the Research 29:18 Connecting Themes to Business Outcomes 32:34 Actionable Steps for Organisations 

Welcome to a special author's episode of The Data Chief, where we delve into the minds of three influential authors who are shaping the conversation around data and AI. First, Geoff Woods, author of The AI-Driven Leader, shares his philosophy of prioritizing strategy over technology to make faster, smarter decisions. Next, Wendy Batchelder, author of The Data Governance Handbook, discusses how to transform governance from a rigid bureaucracy into a business accelerator by focusing on business outcomes. Finally, Malcolm Hawker, author of The Data Hero Playbook, challenges data leaders to adopt a heroic mindset by becoming customer-driven and aligning their incentives with business success. Join us to learn how to lead effectively in the AI era by building a strategy-driven, governed, and customer-centric data function.The Data Chief Podcast: Author Episode Key MomentsGeoff Woods: The AI-Driven LeaderFrom "IT Problem" to Strategic Partner (06:20): Woods advocates for viewing AI as a "strategic thought partner" rather than an assistant or replacement, and emphasizes that AI strategy must align with business strategy.The CRIT Framework for Smarter Prompts (12:25): He introduces the CRIT framework for prompt engineering: Context, Role, Interview, Task. This method helps leaders get non-obvious, high-impact strategies from AI by having the AI ask the right questions.Beyond the Bottom Line: AI's Human Impact (22:17): Woods discusses the ROI of AI, including a case where AI identified savings equivalent to 2% of a company's revenue. Wendy Batchelder: The Data Governance HandbookData Governance as an Accelerator (32:33): Wendy Batchelder addresses the myth that data governance is a "dirty word" or a code for "no," arguing that its true purpose is to be an accelerator.Speaking the Language of Business (35:17): Batchelder emphasizes that data governance should be embedded from the start of a project, not as an afterthought. She provides an example of "bad" vs. "good" communication, urging data professionals to speak the language of the business.Measuring Value with Business Outcomes (40:00): She outlines how to measure the value of data governance by connecting it to business outcomes like increased revenue or improved customer service. Malcolm Hawker: The Data Hero PlaybookFrom Limiting Mindset to Growth Mindset (56:00): Hawker discusses why he wrote the book, calling the current moment a "do or die" opportunity for CDOs. He challenges the "limiting mindset" that leads to defeatism.Customer-Driven, Not Data-Driven (1:08:00): He urges data leaders to be "customer-driven, not data-driven," emphasizing the need for data teams to become more business literate.The Power of Product Management (1:14:00): Hawker advocates for bringing product management disciplines into data teams. This approach focuses on putting the customer at the center and ensures that data products are economically viable and tied to ROI.Key Quotes:"It is not technology first, strategy second. It is strategy first, technology second.” - Geoff Woods"The companies that are treating data as something that helps drive business outcomes are thinking about data at the beginning and set up at the end." - Wendy Batchelder“If you deliver value to your customers, if you are the lever of change and transformation in your organization, if you show value from data, you will get a seat at the table." - Malcolm HawkerMentionsThe AI-Driven Leader: Harnessing AI to Make Faster, SmarterHow AI is transforming strategy developmentData Governance Handbook: A practical approach to building trust in data5 key reasons why data analytics is important to businessThe Data Hero Playbook: Developing Your Data Leadership SuperpowersCDOs and CDAOs: Rethink your role or fade awayGuest Bios:About Geoff Woods Geoff Woods is the #1 bestselling author of The AI-Driven Leader, host of the AI-Driven Leader podcast, and Founder of AI Leadership and The AI-Driven Leadership Collective™, a highly vetted network of executives collaborating to harness AI to build better businesses and better lives. As the former Chief Growth Officer of Jindal Steel & Power, Geoff's strategic leadership helped the company grow its market cap from $750 million to over $12 billion in just four years. Prior to that, he co-founded the training and consulting company behind The ONE Thing, advising businesses ranging from $10 million to $60 billion in annual revenue.About Wendy Batchelder Wendy Batchelder is a three-time Chief Data Officer across financial services, technology & healthcare industries, with a wide understanding of how to take highly technical aspects of data management and translate them into simple, concise business valued solutions that are practical and simple to understand. Her background has led her to lead global data & analytics organizations at four Fortune 500 companies. She approaches situations with curiosity and humility, which has led to applying innovative data solutions to challenges with increased complexity to deliver value that companies can measure.A lifelong learner, Wendy graduated from Miami University with a B.S. in Accounting and Information Systems, from Drake University with a Masters of Accountancy, from University of Iowa with an Executive MBA, and pursues ongoing education through Harvard Business School. Her work history includes EY, KPMG, Aviva, Wells Fargo, VMware and Salesforce.About Malcolm HawkerMalcolm helps senior business leaders harness the power of data to transform their businesses. As a former Gartner analyst, he has consulted with some of the world's largest and best-known brands on their enterprise information management strategies and digital transformation initiatives.He is a frequent public speaker on data and analytics best practices with a passion for Master Data Management (MDM) and Data Governance. He welcomes the opportunity to share practical and actionable insights on how companies can become truly data-driven by implementing the cultural, technical, and organizational changes needed for success in the digital age. He is also the author of The Data Hero Playbook. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

How do you reconnect learning with business outcomes in a world where skills are evolving faster than ever? That's what Vincent-Pierre Giroux, Global Learning & Talent Development Director at Alstom, explores in this episode of the Digital HR Leaders podcast. Host David Green speaks with Vincent-Pierre about the lessons he's learned from leading resets across industries, his perspective on why skills volatility is reshaping mobility and retention, and the leadership qualities that matter most in today's environment of constant change. In this episode, you'll learn: Why reconnecting learning with business outcomes is key to driving real impact How skills volatility is transforming mobility, engagement, and retention What leadership qualities are most critical in a world shaped by disruption How to think about ROI in learning and skills, and measure it meaningfully Practical advice for HR and people analytics leaders to keep their organisations future-ready This episode is sponsored by 365Talents. 365Talents takes a flexible, tailored approach to skills and talent management—because no two businesses are the same. Their adaptive talent intelligence solutions empower HR teams to move faster, build skills-based strategies, and deliver real impact at scale. Want to learn more? Visit www.365talents.com And don't forget to explore the latest thinking on skills and job architecture in this in-depth playbook: The Skills and Job Architecture Playbook Hosted on Acast. See acast.com/privacy for more information.

Executives are asking the same question in 2025: Where is the value AI was supposed to deliver?   In this episode of ThinkCast, Gartner experts Mary Mesaglio and Rita Sallam outline how leaders can define, measure and maximize AI value across the enterprise. From productivity gains that don't translate directly to financial returns, to high-stakes bets that could rewrite industry rules, they explain why leaders must manage AI investments as a balanced portfolio — spanning return on investment, return on employee and return on the future.   Tune in to discover: Why productivity leakage hampers measurable value How to structure AI investments across ROI, ROE and ROF The differences between Defend, Extend and Upend use cases Why AI-ready data, governance and business change are critical   Dig deeper: Buy tickets to Gartner IT Symposium/Xpo Watch the full webinar on AI value Become a client to try out AskGartner for more trusted insights  

What You'll Learn:In this episode, hosts Shayne Daughenbaugh, Andy Olrich, and guest Claire Quigley discuss the gap between technological capabilities and business outcomes. They emphasize an understanding of the purpose of transformation, aligning leadership and people, and ensuring clear communication and change management.About the Guest:Claire Quigley is the founder of Launchpad9, a boutique consultancy dedicated to inspiring and empowering meaningful innovation in established organizations. Claire brings a unique perspective shaped by her journey through high-tech startups, SMEs, and large corporations, where she has learned firsthand what truly works—and what doesn't—when it comes to forming and executing innovation and growth strategies that make a real difference.Links:Click Here For Claire Quigley's LinkedInClick Here For 'Tech Team Whisperer' Website 

In this episode of Innovation and the Digital Enterprise, Patrick Emmons and Shelli Nelson welcome Sean McCormack, Chief Innovation Officer at First Student. They discuss his career that spans military intelligence, startups, global enterprises, and now tech-focused leadership in student transportation. Sean shares his unexpected entry into technology through the development of early online language learning systems in the military which later led to diverse experiences across industries.Today, at First Student, Sean has spearheaded digital transformation initiatives to modernize student transportation. He discusses the complexities of managing a large fleet, the challenges of tech integration, and highlights the use of AI in supporting recruiting and enhancing safety.Sean unpacks his leadership philosophy, emphasizing the need to understand the day-to-day, improve communication, and build strong, delivery-focused teams. He shares valuable lessons on driving innovation, managing change, and leading with empathy and effectiveness.(00:00) Introduction(01:46) Sean McCormack's Career Journey(03:49) Impactful Experiences and Lessons Learned(05:58) Innovating at Harley Davidson(09:26) Transforming First Student with Technology(16:11) Implementing AI at First Student(22:40) Leadership and Communication Insights(28:43) Advice for Future Technologists and Leaders(32:45) Conclusion and Final ThoughtsSean McCormack is the Chief Innovation Officer at First Student, the largest provider of student transportation services in North America. Previously, he's held leadership positions at Grainger, Harley-Davidson and ManpowerGroup. He earned his BA at the University of Texas at Austin, and his Executive MBA at the University of Wisconsin-Milwaukee.If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.Podcast episode production by Dante32.

Nett Lynch, a cybersecurity leader and strategic VCIO advisor, discusses the importance of translating complex security frameworks into actionable business outcomes. She emphasizes that clients are primarily concerned with their business goals and overcoming obstacles rather than the technical details of security frameworks. To effectively communicate the value of security investments, it is crucial to understand the client's business operations, including financial flows and growth aspirations. By framing security solutions in terms of efficiency and reduced friction, Lynch argues that IT professionals can better engage clients and demonstrate the tangible benefits of security measures.Lynch also addresses the challenge of risk management in cybersecurity, noting that security experts can only reduce risk rather than eliminate it entirely. She highlights the necessity of having conversations with senior leadership to assess risk tolerance and make informed decisions about security investments. By conducting thorough assessments and breaking down security measures into manageable steps, IT providers can guide clients in making decisions that align with their risk appetite and business objectives.The discussion further explores the shared responsibility model in cybersecurity, where both service providers and clients have roles to play in managing security risks. Lynch points out that while vendors are responsible for the tools they provide, the ultimate responsibility for risk management lies with the client. This partnership approach is essential for effective cybersecurity, as it requires active participation from both parties to address vulnerabilities and implement necessary measures.Finally, Lynch shares her insights on the future of vCISO services, cautioning against the potential commercialization of the role, which could undermine its advisory nature. She advocates for professionalization within the industry to ensure that those claiming to be cybersecurity experts possess the necessary skills and knowledge. As AI technology continues to evolve, Lynch expresses a mix of excitement and caution, recognizing its potential impact on the industry while remaining aware of the risks associated with its adoption. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech