Podcasts about summer rewind

Tracklist: Nova Blue & EV - Weekend Cinderella (clean edit) [STMPD RCRDS] Lavern - Loose My Mind [STMPD RCRDS] Curbi - Listen Up [STMPD RCRDS] Ishimaru & Trevizan = Take Control [STMPD RCRDS] Vluarr - What Is It [STMPD RCRDS] Kris M - What We Started [DISCORD DEMO] Vluarr - Walk The Walk [STMPD RCRDS] NOME. & Merow - Alive [STMPD RCRDS] John Alto - Waiting For [STMPD RCRDS] Martin Garrix & U2 - Fireflies [DARKROOM RECORDS] Nova Blue - Do It Like Me [STMPD RCRDS] ESSED - Anytime [STMPD RCRDS] Madonna & Martin Garrix - Bizarre [WARNER RECORDS] BUTTER - Silence [STMPD RCRDS] Sentinel - Bring The House Down [STMPD RCRDS] SONNIY - RED LINE [STMPD RCRDS] Megisto & Laidback Luke - Don't Look Back [STMPD RCRDS] Mesto - Listen To Me [STMPD RCRDS] Julian Jordan - In My System [STMPD RCRDS] Martin Garrix & Ed Sheeran - Repeat It [STMPD RCRDS]

This summer, join host David Mandell as he revisits and highlights episodes from Season 5 of The Wealth Planning for the Modern Physician podcast, in our 2026 Summer Rewind Series. "I genuinely believe there is a lot of information to gain from all of our episodes deliver, but for the summer, I've handpicked a few that offer intriguing ideas and a unique perspective for physicians in 2025," says David. "I hope you enjoy this Season encore series. Have a great summer!" Episode 5.18 | Originally Released: May 14, 2025 In this episode of the Wealth Planning for the Modern Physician podcast, host David Mandell sits down with two highly respected medical leaders—Dr. Mark Figgie, Chief Emeritus of the Surgical Arthritis Service at the Hospital for Special Surgery (HSS), and Dr. Joel Press, Physiatrist-in-Chief at HSS—to explore their personal and professional journeys in medicine. Dr. Press shares how his diverse early experiences led him to physiatry, while Dr. Figgie recounts his balance between science, business, and a lifelong pursuit of education, including earning an MBA during his fellowship. The conversation shifts into a discussion of mentorship at the Hospital for Special Surgery, where both physicians have played key roles in developing a cross-disciplinary mentorship model to support younger doctors. Their focus extends beyond clinical guidance to include career development, personal financial planning, and wellness—areas often overlooked in traditional medical training. This approach fosters institutional collaboration and a stronger culture at HSS. Finally, the episode dives into physicians' relationships with industry. Dr. Figgie offers candid advice on contracts, intellectual property rights, and ethical considerations when working with device manufacturers. He emphasizes the importance of legal review and staying true to what benefits patients. Dr. Press adds insight into personal financial trust, suggesting that doctors build a "board of directors" for trusted guidance. The episode closes with a preview of future initiatives aimed at supporting physicians earlier in their careers through financial education and mentorship. Learn more by visiting the original episode page. Learn more, including additional show notes, links, and detailed key takeaways, by visiting visiting the original episode page. Check out other episodes from our 6 seasons by visiting, physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

Send us Fan MailShefali got hate mail.Not a snarky comment on a post. Emails. From other people who work with postpartum runners, coming at her over a single number in a consensus paper.The number was three. As in, after a minimum three week period of rest and recovery, some people might be ready to start doing some things. Drills. Not a 5K. Not a race. Some things.And she wasn't even giving her opinion. She surveyed clinicians and exercise professionals, coded what they said, and reported it back. That is the entire job of a Delphi.I'm bringing this one back for the Summer Rewind because there are so many new moms getting back to running right now, and the six week clearance conversation has not moved an inch. It is still the default. It is still a date instead of a plan. And I promise you it is still costing women the strength they walked in with.

Summer Rewind: Gregg shares a few stories linked by one glittering theme: diamonds. From a visit to Tiffany's to a German aristocrat's tale of royal jewels on a Mexican beach, an artist friend's hidden ring, and a subway car filled with spilled stones, each story reveals the strange, funny, and human ways we attach meaning to wealth and sparkle. The Compulsive Storyteller Podcast is a series of short personal true stories in 20 minutes or less written and narrated by, Gregg LeFevre. © Gregg LeFevre 2026

Send us Fan MailOkay, so this one is a Summer Rewind, and I'll be honest with you, I went back and forth on which episodes to bring back. This one wasn't a hard call.The original aired in September 2022. I re-listened before we re-ran it and quite honestly? I'm still hearing every single one of these myths in clinic. Every one. A couple of years later.Rich Willy has spent 20+ years treating injured runners and publishing the research the rest of us end up citing. And the thing I love about him is that he opens by admitting he used to believe most of these myths himself. That's the whole reason it holds up.So I asked him to name the running myths he most wishes would just disappear. Stretch more. Strengthen your glutes. Land softer. You're running wrong.Here's what we get into:

In this OFFBounds Summer Rewind, Paula Macaggi revisits her conversation with Lauren Steinberg, Chief Digital Officer at Loblaw, Canada's largest retailer. Lauren shares how Loblaw built its digital business like a startup within the enterprise, embraced the advantages of being a first mover, and scaled online grocery through experimentation, accountability, and technology designed to evolve with customer expectations.The conversation explores the future of grocery retail, from AI-powered personalization and composable commerce to search, loyalty, and agentic shopping. With Loblaw now bringing grocery shopping into ChatGPT, Lauren's insights offer a timely blueprint for how retailers can build strong digital foundations today and remain ready for the next wave of commerce innovation.

Summer rewind: When we say 'the cloud' what we mean is 'the data centre'. Globally, data centres are projected to consume over 1000 terawatt hours in 2026. What does that mean for energy production, distribution, and consumption? Guest Phil Harris, Cerio President and CEO, joins thinkenergy to shed light on something we all rely on but may not fully understand. From efficiency to sustainability, environmental concerns to Cerio's role improving how data centres manage energy. Listen in for the future of cloud computing. Related links  Cerio: https://www.cerio.ai/ Phil Harris on LinkedIn: https://www.linkedin.com/in/paharris/ Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-8b612114  Hydro Ottawa: https://hydroottawa.com/en      To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405 To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited  Follow along on Instagram: https://www.instagram.com/hydroottawa  Stay in the know on Facebook: https://www.facebook.com/HydroOttawa  Keep up with the posts on X: https://twitter.com/thinkenergypod  --- Transcript:  [00:00:00] Trevor Freeman: Hi everyone, and welcome to the summer edition of Think Energy. As a reminder, we are in podcast vacation mode, and while our normal day-to-day work continues, we are on a brief pause from our regularly scheduled episodes to recharge, rethink, plan for the fall. But we don't want to leave you without anything to listen to. So, we've pulled some of our favorite insights and episodes from the past year related to the energy transition and where we are. So, welcome to episode two of our summer rewind, the August episode. So, as a reminder, this summer, we're looking at that collision between digital infrastructure and physical infrastructure, how the world of evolving technology is shaping and influencing and changing the way that we interact with energy and, in fact, interact with the energy grid as well. Last month, we looked at my conversation with Lynn Pettis from Overstory and how Overstory and Hydro Ottawa have partnered together to use satellite imagery and AI to protect our grid. In part two of our summer rewind today, or the second episode, we're looking at the world of data centres, and we're hearing lots about data centres as AI grows and takes kind of more of an ever-present role in our day-to-day lives. And I had a conversation with Phil Harris from Cerio. So, we're going to dive back into that episode and look at kind of the staggering energy footprint of AI data centres, of the cloud, etc., and how this boom is really changing how we do data centre design and really forcing a change in how we do data centre design just because of the sheer magnitude of energy required here. And we're going to look at kind of what this means for the future of global power distribution. So, sit back, relax, hopefully somewhere cool in the heat of the summer, and listen to this episode of Summer Rewind with Phil Harris from Cerio. [00:02:18] Podcast Intro: Welcome to Think Energy, a podcast that dives into the fast-changing world of energy through conversations with industry leaders, innovators, and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional, and up-and-coming facets of the energy industry. If you have any thoughts, feedback, or ideas for topics we should cover, please reach out to us at thinkenergy@hydroottawa.com. [00:02:49] Trevor Freeman: Hi everyone, and welcome back. Data centres have come up a number of times on this show, and for very good reason. They have become a key underpinning technology for so much of our lives. Every time we pull out that phone from our pockets to pull up directions or buy something online, or doom scroll on your social media or news site of choice, every time you use your phone, stream a movie, leverage an AI model, whatever you end up using your phone for. It's funny, as I read this list, I'm sure there's like some university student out there who's thinking, man, what is this old man talking about? We don't use our phones for that. Whatever the kids are doing these days, whatever we're doing these days with our phones, with our computers, our tablets, etc., all of that leverages infrastructure that most of us have never seen, and quite frankly, probably don't really understand. We talk about the cloud like it's this amorphous, nebulous thing. But in reality, we're talking about real hardware in a real building that uses real energy, mainly electricity, a lot of water. And this isn't really new. Like, we've been leveraging centralized data centres for many years now. But what is changing is the scale of the data centres that we're seeing now and the pace of growth in computing power that we need to do the things that we want to do and that our data centres are able to deliver. So, just to throw a few numbers at it, the traditional data centre servers that maybe powered the early days of on-demand online streaming services, for example, they used anywhere from 5 to 15 kilowatts per rack. But modern server racks that are used to power AI searches, for example, can hit anywhere from 60 to 100 kilowatts per rack. This is great from a power output per rack perspective, but it means massive energy needs. And that is showing up in the size of load requests that we're seeing from new data centres. New data centres today are asking for service connections that are orders of magnitude higher than those built even just 5 years ago. Globally, data centres are projected to consume over 1,000 terawatt-hours in 2026. And just a quick kind of refresher from high school or wherever you would have learned this, a terawatt is 1,000 gigawatts, which is 1,000 megawatts. So, 1,000 terawatt-hours, which is roughly equivalent to the annual electricity demand from the country of Japan, an entire country. So, given all of this, there are a lot of incentives to find ways to maximize efficiency and reduce some of that energy demand. And that's where my next guest, Phil Harris, and his company, Cerio, come into play. I'll let Phil get into the details of exactly what Cerio does, but essentially, their goal is to reimagine the data centre to maximize sustainability and reduce energy needs. Phil is Cerio's President and CEO, and has been in the networking and data centre industry for over 35 years, including at well-known companies like Intel and Cisco, to name two. And I'm really excited about this conversation, one, to understand how do we make data centres a little bit more efficient, or maybe a lot more efficient, but also just to really understand, like, what are we talking about when we talk about a data centre? What is actually happening, what is physically inside these buildings? And we'll get into a little bit of that in our conversation. So, Phil, welcome to the show. [00:07:05] Phil Harris: Well, thanks, Trevor. I appreciate it. [00:07:07] Trevor Freeman: So, Phil, obviously, we're here today to talk about your work building sustainable data centres, or trying to make data centres a little bit more sustainable. But before we get into that, you know, you've spent your career, you know, decades of your career at different tech giants, let's call them, Intel, Cisco, to two to mention. You've seen quite a bit of change, no doubt, over your time. Has that change, like does this industry change linearly? Does it grow fairly steady, or is it kind of big jumps? And are we on the cusp of any major shifts? What can you kind of tell us about the future of this sector, data, tech, etc.? [00:07:54] Phil Harris: It's interesting. I think as companies start, and I was at companies like Cisco, for example, when it was a very small company to where it was a very large company, and this should be no surprise to anybody, the bigger the company gets, the harder it is to change. And they really find that the only way they change is when they absolutely have to, not because they want to. And that's a combination of just inertia and shareholders' expectations and a whole bunch of things. So, I would say that the bigger the company is, the harder it is for them to react. And so, I think small, nimble companies tend to do much better when there's a lot of transformational technology and development and changes in the overall ecosystem we live in. I think your, the second part of your question, you know, I look at the current situation as a point in time where a lot of companies will have to make some significant changes simply because we are hitting two new walls: technological walls, commercial walls, geopolitical walls, that are really sort of confining what people can do. So, I think what's about to happen is we're about to see a significant change. And this is not atypical in the industry. If we think about back into the start of what we would think of today as computer science around mainframes that were happening in the '60s, you know, for about a decade and a half, two decades, there was a lot of dominance around a particular way of doing things. And then some new innovational technology came along that rapidly changed that, scaled out, and it went from a very dominant set of players to a much larger number of smaller players who could then provide more innovation and more scale and more choice. And I think we're about to see that transition occurring as well. [00:09:47] Trevor Freeman: So, is this, is there sort of like an analogous time, 10 years ago, 20 years ago, are we on the cusp of like the big, the big change that we've seen before? Like, what would you compare this to, you know, in the last 20, 30 years? [00:10:01] Phil Harris: Yeah, I mean, I think there's been eras of compute. And if we say, I mean, we can find analogies outside of the compute world, but let's just stay in the computer science world. I gave the mainframe example as one, and then we went to what we call client-server, which scaled out rapidly. Telephony, we went from large, big telephone exchanges that started in the government space, went to very large organizations. Now, basically, we've completely scaled out how we make phone calls, to use that now 20th-century terminology. Nobody really makes telephone calls anymore. And we went through this with cloud computing and the internet, where there was a change in the approach to the way we did things that suddenly gave us a scale-out mentality rather than a scale-up mentality. And I think that's what we have to key in on here, is that we can, someone, I was on a panel yesterday where we were talking about scale. And I said, well, to scale or not to scale, that is not the question. It's how do we scale? Do we continue to scale up, which is the current model, or do we start to think about scaling out, which is a more distributed model? So, we go from a small number of big things to a large number of smaller things. And typically in computer science, whatever you want to, storage, compute, memory, telephony, everything we've ever done goes through this arc. [00:11:32] Trevor Freeman: Yeah, it's interesting, and there's, obviously, my brain's going to immediately try and find those similarities between my world that I live in on the energy side of things. And it's the same question. There is no path where we're not expanding the amount of energy we need, we're not going to be using more energy. But there are different ways to do that. And there are different paths we can take: the business-as-usual, the just grow, grow, grow, centralized energy production and large-scale transmission, or there's a combination of like grow those things, but also find alternative methods, more DERs, more sort of like close to consumer energy sources and storage, etc., etc. And people that listen to this podcast know I kind of go on ad nauseam about this. So, lots of similarities there. Another kind of framing or foundational thing that I want to talk through before we really get into the meat of our conversation is helping ground both myself and our listeners in what exactly we're talking about here. So, we all use, whether we know it or not, we use, you know, like cloud computing constantly, whether it's in our calls, how we're using the internet, using AI more frequently now. What is the physical reality behind that? What's actually happening? What is, you know, the term "data centre"? What is a data centre for our listeners here? What does that look like? [00:13:17] Phil Harris: Yeah, let's start there. And that's a great question. We started recognizing that the amount of power and space required for computers in companies and government and all sorts of different applications was getting larger than we could put in a room in a closet near maybe where people were using it. We had to start to create dedicated space, because the power requirements, the cooling requirements, just the noise—you can't hear this, but just in my basement, I have a few different compute systems that my wife continually tells me is keeping the neighbors awake. The reality is the environmental aspect of these things became very difficult. So, we created these purpose-built locations that had then different requirements in terms of access and facilities and power and cooling and staffing. And so, they became a new way of thinking about building compute infrastructure at a building level, not just at the individual computers themselves. So, a data centre is usually a very large room, or building, I should say, that houses large amounts of compute and storage and other networking equipment. There's a whole range of different technologies that go into a data centre that allows us to process information. That's what a data centre is. To give you some analogies, in the US, there's about nearly 6,000 data centres, depending on how you measure a data centre. In Canada, we have about 400. In Europe, there's about 750 that we can identify as standalone data centres. You can probably find more places where computers are outside of people's homes, but that's about the ratio we're looking at. [00:15:10] Trevor Freeman: And we're seeing, I think, and tell me if I'm wrong here, like all this talk about the AI proliferation, data centre proliferation, we're seeing an expansion of these. Is that we're seeing the size of these data centres expand, or we're seeing just more of them popping up? Like, what does it mean when we say we're seeing like data centre growth because of AI? What does that mean? [00:15:36] Phil Harris: Well, it's fascinating because now our worlds collide. Because the way we now think about how to describe a data centre isn't in the square footage or the number of computers. It's in how much power it consumes. And we now measure it in megawatts. It starts in 10 megawatts, or single-digit megawatts for very small data centres, into average-sized data centres in the tens of megawatts, up to now the hundreds and the gigawatts of consumption that you look at these hyperscalers. But I think we have to put this into a sort of a human scale. It helps us to put this in human scale. If I were to go back to ChatGPT, actually about now 15 months ago, ChatGPT-4, if you were to put that data centre footprint into the province of Ontario, for example, where you and I both are right now, it would be the equivalent of a million internal combustion engine cars driving 30 kilometers a day. If you ever drive up the 401, you probably don't want to see another million cars on the 401. But that's the amount of energy that we can think of in terms of a data centre of that scale. [00:17:02] Trevor Freeman: Yeah, and again, putting it in the electrical industry's terms, what we consider as a large load—so, we have a specific designation of a large load request—that is anything 5 megawatts and higher. Up until recently, we would get one or two of those every once in a while. Like, it's pretty rare to get a large load request. We are seeing large load requests coming in at a near constant pace now. Like, the number of large load requests we're getting, and a lot of it is because of this—not all because of data centres or anything like that, but a lot of them are certainly driven by that need for more computing power, more facilities that support that. [00:17:53] Phil Harris: That's right. And at the same time, we're seeing a demand on energy around now home EV charging and other aspects of the general distribution of power. Everything is taking a step function. But if I could just say one thing to your point about 5 or 10 megawatts was a high load, I think we may need to change that scale. It's almost inefficient to build a data centre unless you're somewhere above the 10 megawatt range, because at that point, get somebody else to do it for you. [00:18:23] Trevor Freeman: Ah, interesting. Yeah, and that's where sort of like, almost like renting space in a data centre for a request of that size. Interesting. Something that, you know, I've seen kind of in your writing on your blogs is the idea that traditional data centres are really built for peak capacity, which absolutely mirrors the power industry. We build our electrical grids for peak capacity. And obviously, that leads to a fair amount of inefficiency. So, if you're building just to peak capacity, if you're not at peak capacity, there is an inefficiency happening there. Something that you identified, it's a stat from your research, talks about graphics processing unit usage rates as low as 20% or 25%. So, I'm assuming that means kind of like three-quarters of that hardware is sitting idle or not being used valuably. Tell us a little bit about what Cerio, what you're doing, what your composable architecture specifically is doing to reclaim that wasted power and cooling capacity. [00:19:42] Phil Harris: Yeah, and so it starts off with the premise you correctly raised, is that if we think about the equipment, the physical equipment, and how we put these devices and these components together in a data centre, the same model we've been using today is about 30, 35 years old in terms of individual compute systems where we run applications, software, that has memory and central processing units, those typical things you have in a laptop or you have in every computer. But then we put these accelerators, these GPUs, companies like Nvidia now are the one of the most valuable companies on the planet, if not the most valuable company on the planet, because that's the technology they develop. But we're trying to put these new class of accelerators into an existing compute model, which wasn't designed for this. So, that in itself now starts to fragment the ability to leverage those resources in a data centre. And as you accurately said, you know, it's interesting, if I could geek out on this a little bit for the energy consumer in the room... [00:20:53] Trevor Freeman: Please do. [00:20:54] Phil Harris: ...we think about the notion not only of the megawatts of power going into the data, but we think about what we call power usage efficiency. And that basically says, whatever the power delivered to a data centre, how much of that is applicable to the IT systems in that data centre? A good, well-run, efficient data centre is about 1.2. That means that about 1.2 times the amount of power that's used is delivered. Your home, for example, is about 30 times the amount of power we use is delivered. We are very inefficient from our home use, by the way. But that's another problem to solve another podcast. But in this case, that's all true until we then ask the question, but what's actually being used of that equipment? And that's now in that 25% to 30% range at any point in time. And we refer to that as stranded and idle assets that, for whatever reason, aren't where the application is or aren't applicable to be used for the application at that moment, because they're in some other box. Or it's a time of day when people use equipment. And by the way, equipment like that isn't being used 24/7, but it's drawing power 24/7. So, there's lots of inherent inefficiencies in that model. So, what we do is we provide the ability to dynamically have pools of resources where we can dynamically attach resources to a compute system as required, at the scale you required, and allowing you to be much more efficient in the timing of that and the amount of equipment required to meet your end solution. And by doing that, we can increase the number of accelerators that you apply to a compute system, which inherently means you are much more efficient in those compute systems. Because it's not just the computers, as I said before, there's storage, there's firewalls, there's load balancers, there's networking equipment, all of that can now be much more efficiently used, all of that is drawing power. [00:23:01] Trevor Freeman: So, is the idea then that the equipment not being used or when you're at a lower demand time in terms of computing power, you've got physical equipment idling, sort of in more idle mode, drawing less resources that you can then ramp up? So, the peak amount of equipment's still there, you're just being more efficient with it when it's not being used, and you've developed a way to sort of dynamically pull that in. Is that what I'm hearing? [00:23:28] Phil Harris: Exactly. I'll give you an example. A data centre here in Toronto wanted to have a block of 128 GPUs they could service their customers with. With the current systems they were using previously to deploying our infrastructure, they had to deploy actually 200 GPUs and a very large number of servers to house those GPUs. By deploying Cerio technology, they brought that down to 136 actual GPUs, and they reduced the number of compute platforms by a factor of 4. So, they reduced it by 75%. [00:24:10] Trevor Freeman: Wow, that's fantastic. [00:24:11] Phil Harris: With exactly the same outcomes to their customers, with no contention for resources, no oversubscription of resources, just more efficient use of those resources. [00:24:23] Trevor Freeman: Gotcha. So, still able to meet that peak demand, but not firing up that equipment when it's not needed. [00:24:30] Phil Harris: Well, not just not firing, not having to have as much stranded equipment, because we can use all the equipment all the time. [00:24:38] Trevor Freeman: Gotcha, okay. So, in when I was kind of setting up that last question, I used the term "composable architecture," and I'll admit that I pulled that from your material. Help me understand what that means. So, I've also seen you use "composable infrastructure," sounds a bit abstract. What are we talking about here? What does that actually look like? [00:25:02] Phil Harris: When a consumer or someone who's building a data centre buys their computer equipment, they usually will actually buy the computers, the GPUs, the storage, and other things at the same time. And they will get delivered together, and that box now becomes a unit of compute capacity. But the thing about that is, whether you're able to use that entire capacity, the length in which that's useful, there's a lot of innovation churn right now as new things are coming through very quickly. But that box is now statically built for the rest of its life pretty much. IBM did a study, to take a server out of a rack, these big 6-foot racks or bigger where these servers are housed with lots of wires going into them, power and data and all sorts of things, it's about $1,000 a minute to take one of those servers out of the rack and either change something that's broken, update something. So, they just don't get taken out of the rack, because the average time to take a server out of a rack is about an hour. The math on that's pretty simple. So, if I'm spending $60,000 to upgrade a $20,000 or $30,000 server, I'm just going to leave it there and buy another one. So, that creates more of these stranded assets. So, composability says, let's separate these things into, as I said, pools of resources: compute, accelerators, and other devices, and have a fabric between them that allows us to in real time assemble a compute system that I need—that's the composing part—as I need it, because I can now take the resources anywhere in my data centre if you've got the right fabric, which we've built, that allows you then to real time build that compute system with exactly the same capabilities, exactly the same performance, and without having to change any of your software or the way the servers work. Everything has to be off the shelf to make this work, and that's what we've built. [00:27:03] Trevor Freeman: Gotcha. So, two of the terms—and you'll forgive me, this is sort of a new sector for me—two of the terms that are used as metrics to determine performance are power usage effectiveness, and you've kind of talked about GPU usage. Is the industry moving more towards that GPU usage metric? Is that just something that you guys are kind of leading the curve on, or where are we at on that? [00:27:36] Phil Harris: Oh, no, this is very much the industry way of describing not just efficiency, but requirements. And we use very weird terms for this. Every industry has their weird terminology. [00:27:46] Trevor Freeman: Absolutely, yeah. [00:27:47] Phil Harris: And we're now moving to the, for example, in AI, the number of tokens per second. When you and I put a request or a question into ChatGPT or Copilot or Claude, whatever we use, those words get translated into tokens, actually numbers. Every compute system is just a big calculator at the end of the day. We do massive processing on numbers. How many of those tokens can I put into the system? How long does it take to process those tokens and give me a response? And the tokens per second per watt is now what we're asking. So, how many tokens a second and what power per token is it costing me to process information? And that's the interesting way of thinking about how AI, for example, that's where you started this conversation, will be measured, is the most amount of tokens per second per watt. Now, right now, we're focusing on tokens per second. We're not looking at the last denominator, which is watts. So, that's why these data centres are getting so ridiculously large. And, you know, we even heard it in the State of the Union address in the United States earlier in the week where, you know, there's now the administration pushing cloud vendors and AI vendors to say, "Hey, pretty soon, you're going to be on your own about delivering power because, quite frankly, the way you're going, it's going to become untenable to think about that from a national grid perspective." Now, I think that may be a little bit into the future, but I don't think it's a completely unreasonable sentiment at this point. [00:29:32] Trevor Freeman: Yeah, and I mean, you're talking about, and we talked earlier about the just the scale of energy usage here is reaching a new height, a new level. And if we break it down to the individual racks, you know, these these racks of servers or processors that you've got in your data centre, we're now talking about anywhere from 50 kilowatts to 100 kilowatts of cooling need. And that's the big driver of energy usage, I think, is correct here, is the cooling need per rack multiplied by, of course, big numbers to get those, you know, 5, 10, 20, 30 megawatt data centres we're talking about. When we talk about cooling and we talk about hotspots within a data centre, how does your approach differ from kind of the standard way of doing it? [00:30:32] Phil Harris: That's a great question. And I think we should explain why the cooling part, it's a bit like buying really good, expensive Wagyu steak every day and then having to spend a lot of money on a gym membership to then go and burn off those calories. So, we put all this power into power these compute systems, but then we have to keep them cool. The faster they run, the more powerful they run, the hotter they get, but we need to cool them. So, there's this relationship between the more power we draw, the more cooling we need. And cooling is becoming, as I said, that sort of tradeoff for performance. Now, there's lots of exotic ways of cooling computer systems. We can just blow air across them, we can have liquid like the radiator in your car, or we can literally drop these compute systems into baths of solvents. Ferdinand Porsche, I like to use of other industry analogies. Ferdinand Porsche, the guy who obviously designed the first Porsches and the VW Beetle, realized if I could distribute the heat of the engine block with a horizontal block, I could blow air across it, it was much more efficient than trying to put a radiator to actually cool down the engine block the way that other cars who have the engine in the front. And it's because of surface area. Now, if I've got to put all my GPUs and CPUs and memory close together either in the same box or the same rack, that concentration of heat needs to be addressed with cooling. One of the ways we can address this is not only to be very selective when I compose the GPU, it's the only time it's drawing power, but also, I can spread them out through my data centre by having a fabric that allows me to connect them to the compute systems with the same performance. But now I can distribute my heat generation, that means I can cool more efficiently, just like that Ferdinand Porsche analogy of the Porsche 911. Because now, heat over spread of distance and surface area is a more efficient way, which means that it won't mean that we won't ever get to liquid cooling. I don't think immersion cooling is a good idea for lots of other reasons, but it's a necessity more than an optimization. But we can defer the complexity, the cost of those exotic cooling systems if we're more efficient in the way we use and design our data centres. [00:33:10] Trevor Freeman: And I guess there's a similar description there of if you're concentrating all that heat in a specific physical area within a bigger building, room, whatever you want to call it, that cooling system is having to work to that peak cooling need, so to that hotspot effectively. But it's not working just on that spot, it's working across the whole physical area. If you're spreading that cooling need out across the whole room, one, the peak is a little bit lower, and you're just more effectively using your whole cooling system, is that fair to say? [00:33:48] Phil Harris: That's exactly the right way of looking at this. And think about it from this perspective as well. The reason we have to cool is because if we don't cool sufficiently, those devices become very unreliable and reduce their useful lifespan. Without going into who, because they keep this information confidential, but one large cloud provider in the US, for example, a GPU that normally has a lifespan of at least 3 years is going down to about 9 months right now. And the reason for that reduction in the lifespan of the use of that GPU is because of the heating characteristics within these boxes even with all these cooling mechanisms are becoming now a reduction in the lifespan. So, that means we have to create even, remember I said what it costs to take a system out of a rack? [00:34:44] Trevor Freeman: Yeah. [00:34:45] Phil Harris: That means if we don't have to apply an efficient and effective cooling strategy, our power strategy and cooling strategy, then we start hitting problems very quickly. [00:34:56] Trevor Freeman: Gotcha. Okay. Okay, so there's a mantra that I'll admit I hadn't seen before until kind of reading some of your material. It's, "Friends don't let friends build data centres." And I think it's referring to, you know, this move in there's so many industries that kind of do this cycle of centralization to decentralization. And the sort of data movement went towards that centralization, and you saw these big, massive data centres. But there's kind of a move now back to, let's call it, decentralization or repatriation of data. And so, for various geopolitical reasons, organizations, companies, governments are wanting to pull their data back home and have it kind of be more in their control, living in their own servers. So, how are you or how is Cerio helping companies kind of get back into the data centre business or repatriate their data without kind of, you know, getting into the troubles that led for to that centralization in the first place? [00:36:12] Phil Harris: Yeah, and by the way, I can't take real credit for that quote. Cole Crawford, who was one of the early guys at Facebook before it became Meta, and was one of the leading voices in the Open Compute Platform movement, which was trying to standardize how we do these things, Cole is now the CEO of a company called Vapor IO. And what he was really saying is, it's so complicated and difficult to run data centres, let alone build them, the capital expense. AI isn't just one thing. There's lots of stages in the workflow of AI. We train these big models, you have heard of large language models like ChatGPT or Copilot. But what we use them for, the results of those trained models, is what we call inference. Now, you'll now hear about agentic AI, where we turn those results into actions. Okay, that's the agency part of agentic. Well, the use of AI in the corporate world is now becoming, as you said, both regulated, but from an intellectual property perspective, it's about how I control my data and my information. Because if I put that all into somebody else's large language model, I've basically populated somebody else's large language model with what might be my proprietary information or information that's very sensitive. And it's one of the reasons why you'll hear in the press about Anthropic, for example, trying to put guardrails around the use of their AI, because they're very sensitive to this. Most enterprises, governments, of all sorts, have realized, though, they need to run this in their own data centres, because they need to have control over this information and the use of this information. That's the repatriation you're talking about, moving these workloads now into the organization that previously had said, "Hey, cloud computing can take this problem." We've got to now figure out how enterprises, which are far many more of them in far more diverse locations, can now build their own data centres and get the right power, the right efficiency, the right capabilities at the right cost. [00:38:22] Trevor Freeman: Does that open the door? I mean, earlier you talked about, you know, if we're talking about a 5 megawatt data centre, it's almost not worth it. You know, that's just sort of renting space in someone else's. How does how does that track with an organization that won't have enough data or enough computing power, whatever the metric is, to to warrant a 30 megawatt data centre for their own data, but wants to get that that control, wants to bring it more in house? Is your technology helping those smaller data centres exist? Is that the correlation there? [00:38:58] Phil Harris: We can now move it into, another couple of terms that may be you're listeners may not be familiar with, in the compute world or the data centre world, we talk of brownfield and greenfield. Brownfield is that which is already there, greenfield is something I have to build new. A lot of the brownfield world is the predominant quantity of compute power on the planet is primarily brownfield. The question is, can I take that existing infrastructure and put the capabilities we've been describing in this discussion into those brownfields, so I can reduce the cost of the expansion of that, because I can reuse the compute equipment that's there? I can now add just the discrete GPU technology, for example, into an existing data centre that doesn't then far blow the power budget or the cooling envelope within that environment, but I can still now start taking advantage as I figure out what my larger plans are. And at the same time, how do we have a tier of providers who I'll give you an example. There's a company in again in Canada, ThinkOn, who are building a data centre in in Ottawa. It's going to have its own liquid natural LNG as its source of power for its own power requirements. Why? Because they can have the power they need as they need it in that location, and they can provide that secure infrastructure for both government and private enterprises. And ThinkOn is is certainly in Canada one of those companies that's really seen to be a trusted partner in this. So, it'll be a bit of what can I do myself, how do I have a trusted partner. We think of sovereign AI a lot. That means trust more than anything. And that's becoming the new mechanism of thinking about this. [00:41:01] Trevor Freeman: Thinking about the the environmental impact of of tech and of of data, you know, we've talked about the energy usage here, but there's also the physical aspect to it of, you know, the the pace of improvement in technology means we see obsolescence, or we see kind of technology being outdated fairly quickly. We all, like on the personal level, we all see this with our our cell phones, our smartphones, our our whatever tech we have at home that seems to be out of date fairly soon. I think the the stat or the the saying that's out there is, you know, tech is kind of obsolete or becomes trash within 3 years. Obviously, this is not sustainable. Is this part of the drive of what you're doing? Is it are you looking to sort of extend the life of the physical equipment? You've touched on this a little bit, but maybe expand a little bit on that. [00:42:01] Phil Harris: Yeah, this this goes a little bit back to that brownfield, greenfield discussion. But one way of looking at it, I guess, is um when I put all of these components into one the classic model, the current model, I put my my my central processing unit, my memory, my storage, my GPUs, all in the same box. What is the thing in that box that I want to take advantage of as new innovation happens versus that which is happening over a slower evolutionary cycle? Well, right now, if I put everything in the same compute unit, go back to my cost of taking that box out of the rack, I'm pretty much limited by the slowest innovation curve within that platform now as what I can take advantage of over time. Interestingly, GPUs are innovating currently at a clip of about once a year. Nvidia comes out with a new generation of GPUs once a year. Um but now we're getting more GPUs into the market, we're getting much more diversity, and that diversity means I'll have more options more often. But if my compute system itself is only innovating once every 3 years to your point, then if I don't decouple these things, if I don't have the ability to separate these innovation curves, I'm always stuck with the slowest innovation curve. One of the things we've done at Cerio with the fabric that we've built and the platform we've built is to allow you now to, if you like, dislocate those innovation curves and those options so as new technology comes along, I can apply it to the things that are innovating slower and still get the outcomes I'm looking for. And that will significantly increase the existing lifespan of equipment that's in people's data centres. [00:43:56] Trevor Freeman: So, so looking at a data centre of the future, and not, you know, not far into the future, let's say 5, 10 years from now, are we seeing some of the same technology still exist within that data centre, or is it, you know, everything gets cycled out within Like what's the generation of a data centre, for example? Like how often or how soon will we see it all cycle out? [00:44:20] Phil Harris: I think you there's a there's a there's a technical answer to that, and a financial answer to that. The depreciation models, so that the capital infrastructure can be written off people's books over a 3 to 5-year window, is very typical. So, we see that there's just an a financial inhibition to changing more or faster than that 3 to 5-year window. The technical churn, as I said, is happening much more rapidly in the technologies that are drawing most power, but providing most capability. So, one of the things we're we're looking at is how companies now start leasing infrastructure. Because if they lease the infrastructure, they can now recycle that and bring new technology in faster into their organizations. But to do that, you've got to have the ability to bring new technology in and not be stuck with these static systems that we have today. So, there's a set of financial instruments and now, with work that Cerio is doing, technical capabilities that allow customers to really continue to innovate. So, there's no real, "Hey, it's going to be all churned out in 3 years." I'll continue to innovate over those 3 years, recycling the technology that can stay where it is and bringing new technologies as it becomes available at the right financial model. [00:45:39] Trevor Freeman: I'm curious about what that innovation is. Um so, you talked about Nvidia kind of essentially a new GPU every year, there's a new version every year. What is the innovation? Are they just Is it getting faster and more compute power and therefore it's pulling more energy, and is that just like a perpetual increase, or is it kind of same compute power, less energy? Like, do we ever see, I guess what I'm what I'm getting at with this little bit of a ramble here is, do we ever see that that rate of change in energy usage start to flatten out and come down while we still can grow our computing power, or does energy usage just continue to grow, like are we on a bit of a path with no end right now? [00:46:36] Phil Harris: History taught us a little bit about this. Uh Gordon Moore, who was one of the founders of Intel, actually, we had this term called Moore's Law. And Moore's Law was basically this idea that every 18 months, we'll double the number of transistors on a piece of silicon. Now, for those in the computer science world, we all understand what that means. For the rest of the world, the transistor is the smallest unit of technology within the computer. It's the basic building block of how we build computers, the central processing units, all the GPUs, they all come down to taking literally silicon, and in a foundry, we call them, figuring out how to make as many transistors interconnect with each other in a in a smaller area as possible, or the most amount of transistors we can. So, a bit of a geeky answer to your question, but the way that we look at how each innovation improves is are we increasing the number of transistors, which means we can do more math. Remember, all we're doing is processing numbers. [00:47:45] Trevor Freeman: Per unit, per physical unit, right? [00:47:47] Phil Harris: Per physical unit. [00:47:48] Trevor Freeman: Okay. [00:47:49] Phil Harris: And the way we do that is in these big foundries that process all this silicon into these components, they have what are called process nodes. And the and literally how we etch a transistor, it's called lithography, onto a piece of silicon tells us the power of that piece of silicon. And the more I can etch, so we get into what we call the nanometer scale of what we call a process node. So, every time, if you really look into the spec sheets of Nvidia every generation, they'll talk about how many nanometers their silicon process is based on. Because the smaller I can get that number, the more transistors I can have on the same amount of silicon, the more processing I have, BUT every transistor takes power. So, with more transistors, I require more power, even though in the same physical space, it looks like the same amount of silicon. Therefore, your question was a great one. Do we ever get to zero nanometers? Well, no. We're going to hit a wall here eventually. So then the question is, that's the scale-up model: try and make one thing as big as possible. How about if we make lots of things powerful, but we have more of them? In China, last year, we heard of DeepSeek. DeepSeek was a Chinese government-sponsored effort to try and come up with a much more cost-effective way of doing the equivalent to ChatGPT. They didn't do that with bigger GPUs, they did it with much smaller GPUs, but many more of them. And that comes back to how efficient I am in deploying lots of things together. And that goes back to my earlier point about, we start with scale up, inevitably in the industry, we go to scale out. [00:49:50] Trevor Freeman: And there's Is it fair to say that the power usage per transistor, is that fairly static? Like, is there efficiencies to gain there, or your GPU is going to use more power because you're packing more transistors into it, and once you hit that wall, that's going to be the the power consumption level. Is that right? [00:50:15] Phil Harris: Well, this is the games that the silicon manufacturers like Intel, AMD, Nvidia, they're all trying to figure out how to sort of figure out new and interesting ways of packaging all the silicon in these processing units. And we've got a whole industry and science around the packaging mechanism to make those tiles, and we now think of them as little tiles of processing power. And some will be doing very specific jobs, some will be doing very general jobs. It's now getting to the point where the science around the packaging of these dies or these tiles is as much of the of the of the innovation as the actual tiles and the processing on them. So, it's an extremely complex um um technical problem, uh and we are hitting some walls here, which is why I go back to my earlier point. We're now reaching a point where is it just a technical problem to solve or a technical, operational, and commercial problem we have to think about? And this is that wall that you asked me about right at the beginning of this conversation: are we about to hit a wall? And the answer is yes. [00:51:26] Trevor Freeman: Hmm, interesting. It's I mean, I'm always fascinated by like what are the what are the really smart people in the industry focusing their time on. And it's so that's why we're talking to you, um of you know, you're looking at how do we operationalize this, how do we get the most efficient combination and structure of what we're doing here. There's folks that are looking at how do we pack the most computing power efficiency into these specific units. I guess there's an aspect of how do we cool this in the in the most effective way, like what's how do we um, you know, drive down the cooling power needed. Uh what else is out there in terms of like we have smart people focused on this efficiency? What's the thing that's missing from that that sort of list? [00:52:26] Phil Harris: Well, I think maybe what's going on right now, and if I could just add one more layer of complexity, I'll try and keep it concise. Remember I said we were processing silicon? Well, the earth's got lots of silicon, but we don't have lots of places to process that silicon. The companies that are formed to process silicon into these processing units, we call them foundries. The world's largest is TSMC based in Taiwan, um and then we have Intel, we have Samsung, we have a few others around the world, GlobalFoundries is another one. There is a limit, physical limit, because these foundries are huge and they take decades of development and optimization. So, if we start breaking ground on a new foundry tomorrow, we'll see output in about 5 years. So, we have a constrained supply. So, if I'm a if I'm Jensen at Nvidia or any of the big silicon manufacturers, I'm going to optimize that relatively constrained supply to where I'm going to get the best return on my investment, and that's why this scale-up model is happening. So, given that, we know that we won't have any more foundry capacity of scale for another couple of years at least, then the reality is we've got to think differently about how we're thinking about the processing of that silicon. Do I want just ever bigger processors that become more expensive, more limited in where I can deploy them, and quite frankly, the top 15 consumers in the world of silicon consume about 80% of that silicon, if not more. How do I democratize that? Again, it goes from scale up to a scale-out model where I can use that same processing capacity to produce more silicon. [00:54:20] Trevor Freeman: Fascinating. Um yeah, I just I took us down a little bit of a nerd out path. You had me really interested in that. Um okay, so last question here. We hear this term for a bunch of different reasons um around the world right now. Um we're hearing this term "democratizing" happening a lot, and and I know um and you've talked about democratizing AI. What does that mean? What does that mean to you, or or describe that for us? [00:54:51] Phil Harris: Yeah, I think it really means going right to my last point about if if 15 big, big consumers of silicon are going to consume the vast majority of available supply chain, that makes that a losing proposition for the the rest of the organizations and the rest of the governments and the rest of the individuals on the planet. So, how do we make sure that AI can be built both responsibly from a a sustainability perspective, and I don't mean just ecological side, but that's important here too, but also from the ability to I was on a panel yesterday between the UK government and the Canadian government where we were looking at how do countries around the world have the ability to control their own destiny. There's this whole notion of sovereignty and AI sovereignty right now. That isn't because people want to have closed walls around them, they want to have choice. They don't want to be dictated to by very dominant players where they quite frankly don't have the buying power to compete, you know, the amount of capital going into some of the AI companies, we saw $30 billion going into Anthropic last week, that's actually a small increase in their capitalization relative to the other big AI players on the planet. That's $30 billion. So, we've got to think to ourselves, is that a sustainable model commercially? And the answer is no. So, we've got to have technology, we've got to have the right ability to deliver power, we've got to have the right designs of data centres that can keep them cool in an effective and efficient and responsible way, and we've got to be able to give them enough power to make them viable to make them useful. That's the democratization we all have to be focused on. [00:56:46] Trevor Freeman: And we need every I guess to to round out the point is we need everybody to be able, everybody being, you know, whatever, major industry, countries, whoever, to be able to access that equally so that we don't have to rely on the major players out there in order to do those things you just said. Gotcha. [00:57:04] Phil Harris: That's exactly right. And look, there'll always be a pyramid here. There always has been in technology, there's always still the big players, right? But the question is, have the big players stifled out the ability for smaller players to come up, innovate, provide choice, provide alternative ways of looking at things? And that's what we've got to make sure that we keep the the And there's always reliance on some new technology coming along that enables that. Cerio believes that we've created that next layer in the stack, if you like, of technologies that gives us that opportunity to rethink the innovation curve going forward. [00:57:42] Trevor Freeman: Very fascinating. Phil, thanks for your time. I really appreciate it. This has been super interesting. It's not an area that I often get to spend my time thinking about, so it was great to chat today. As you know, we always kind of round out our interviews with the same series of questions to our guests. So, what's a book that you've read that you think everybody should read? [00:58:05] Phil Harris: Well, I'm not sure I can recommend this for everybody. One of the people who basically along the lines of some of the things I've been talking about today, who've revolutionized the computer world was a gentleman by the name of Linus Torvalds in Helsinki in Finland at the time, he's now based in the States. He realized that there was a dominance around how the operating systems on computers, the things that run the software, was limiting basically innovation, choice, and forcing us down a very closed path. So, he wrote something called Linux, which was a new operating system, so be it on your phone, your TV, your microwave, that's running Linux today. Because there wasn't an operating system that we could then generally deploy that meant there was more developers had the ability to write applications, more hardware vendors could now have software they could run on their on their platforms. He gave the world a new innovation curve, and every time this happens, to my last point, good things happen, very good things happen for the world, for every individual on the planet. And Linus was one of those individuals who saw that need. And so, his book, "Just for Fun," and he's a very quirky guy, as you can probably imagine, is a great book about his philosophical approach to what it takes to change really big problems. And I would encourage all of you just even just read the first few chapters. It's a fascinating view of how an incredibly smart man, smart individual took on probably one of the biggest problems we had in the 20th and 21st century of computing and solved it by recognizing you take a different path. [01:00:03] Trevor Freeman: Yeah, very cool. [01:00:04] Phil Harris: As far as as far as shows, I don't know, I'm one of these guys, I've got two 13-year-old daughters, so my wife and I get to watch TV for a very limited amount of time when we can watch it about the things we want to watch. So, we tend to sort of cram things in. But I am I am a huge Aaron Sorkin fan. So, if I ever need something on a rainy day to go back just to think about how the world could be, I watch The West Wing. It's a show that's imaginative, it's got incredible script writing, it's got incredible character development, but it really talks about how to think about doing the right thing as well. Now, whether you agree with the politics or not, that's a different question, but just the thought that smart thinking solves big problems, again, sort of it's a bit like the Linus Torvalds book, it just speaks to me about sometimes we can solve big problems with individuals or people who just have the right way of thinking about things. [01:01:06] Trevor Freeman: Yeah, I think that's that's the kind of, you know, call it entertainment because it is entertainment, but it's the entertainment that sticks with you and that we we go back to time and again is the ones that we can also like see the the underlying philosophy or or, you know, theory of change that goes into that entertainment. And it's it's fun to watch, it's, you know, either humorous or dramatic or whatever, but there's still that underlying message. And I think, yeah, West Wing is a great example of of that. There's a handful of those other sort of classic shows that are in that line, too. Um, a free round-trip flight anywhere in the world, where would you go? [01:01:46] Phil Harris: This is hard. Um, my wife and I were talking about this the other day, and um I've had I've had the luxury of traveling just about everywhere. I think there's 15 countries on the planet I haven't been to. Wow. But if I ever want to go to one place, it's Bali. And there's two reasons: one, my wife and I went there for our honeymoon and it was the beginning of the most important chapter of my life by far. Um, and and secondly, it's because it has that balance of everything. It's I love to scuba dive, I love the rainforests, the jungle, the architecture, the people, the food. It just brings everything into one package for me. And so, um it just, again, it's those things that sort of speak to you emotionally and also intellectually. It's one of those things that I could always go back to. [01:02:40] Trevor Freeman: Oh, fantastic. Um, who is someone that you admire? [01:02:45] Phil Harris: In history or today? [01:02:47] Trevor Freeman: Ah, you pick, anything. [01:02:48] Phil Harris: That's fascinating. Um, I think historically, it's I'm a Brit, it's hard not to go back to some of my my my forebears or my my country's forebears. Alan Turing, who against all adversity, social, political, technical, came up with an inspirational way of thinking about solving what were deemed to be unsolvable. And again, it was a it's a tragic story, I think we've all if you see, you know, the movie that was made about his life, um, it's a very tragic story, but it's an inspirational story about how again, if you just take a different approach to solving what seems to be an unsolvable problem, you can. You get smart people together, doesn't have to be a big army of people. And I think so Turing is one of those people that always comes back for me, thinking, "Wow, if I could have just some of his courage and some of his imagination and some of his intellect, I'd be a very happy person." [01:04:02] Trevor Freeman: Yeah, and it's almost, I mean, obviously a brilliant man, but it's the willing to think in a different way or willing to approach a problem in a different way that, I mean, there's a long list in history of of major turning points that are as a result of someone thinking in a different way or doing something in a different way, and I think that's a great example of it, so. Just about the entire course of human life in the midpoint of the 20th century changed on that that man's inspiration, that man's imagination. Yeah, and that's that's not an understatement. That's fantastic. Uh, okay, last question. What's something about kind of the energy sector or, you know, your sector that that you're really excited about, or something that you see in the future that you're really excited about? [01:04:47] Phil Harris: Actually, I see it now, to be honest. There are things in the future. Hey, I I I have two 13-year-old kids. I want to have a sustainable ecology and world environment for them to live in and bring their own families up in. And I think about how we can use power more efficiently, but how we can make it It does Look, sustainability is important. I want to see renewable, sustainable energy for the general world as a as a thesis. Right now, it's how we can be much more efficient in the use of power and the right power delivery. And I think, as I said, I gave the ThinkOn example, that's incredibly exciting because now if we can do that at scale, that's an opportunity to do that democratization that I spoke about. So, when I think about the things that are really exciting me about the data centre world, the world I live in, actually that power generation and power availability in a clean, effective, well-managed fashion is exactly what we need right now while the rest of us are solving these transistor problems. [01:05:58] Trevor Freeman: Yeah, it's I mean, our listeners are probably going to roll their eyes because I say this all the time, but one of the things that excites me the most is seeing like we're in a period of change, and and that's a really exciting time to be working in this, and I kind of hear that from you in in your sector as well, and I see it in mine, in the energy sector, of we're we're actually getting to see some of this innovation, some of these like leaps and bounds forward. That's not to say there aren't still problems, that's not to say there aren't steps backwards as well, but it it's very cool to be working on this at a time when we're seeing that change, and and that's kind of what I'm hearing from you as well. [01:06:34] Phil Harris: Indeed. [01:06:35] Trevor Freeman: Awesome. Phil, thanks so much for your time. I really appreciate it. This has been great chatting with you. [01:06:39] Phil Harris: Trevor, the pleasure was all mine. Thank you. [01:06:41] Trevor Freeman: Fantastic. Take care. [01:06:42] Phil Harris: Take care. [01:06:43] Podcast Outro: Thanks for tuning in to another episode of the Think Energy podcast. Don't forget to subscribe wherever you listen to podcasts, and it would be great if you could leave us a review. It really helps to spread the word. As always, we would love to hear from you, whether it's feedback, comments, or an idea for a show or a guest. You can always reach us at thinkenergy@hydroottawa.com.

This summer, join host David Mandell as he revisits and highlights episodes from Season 5 of The Wealth Planning for the Modern Physician podcast, in our 2026 Summer Rewind Series. "I genuinely believe there is a lot of information to gain from all of our episodes deliver, but for the summer, I've handpicked a few that offer intriguing ideas and a unique perspective for physicians in 2025," says David. "I hope you enjoy this Season encore series. Have a great summer!" Episode 5.13 | Originally Released: March 5, 2025 Host David Mandell speaks with orthopedic surgeon and retired Army Colonel Dr. Pat St. Pierre. Pat shares how his path took him from West Point and infantry service to military medicine, orthopedic surgery and a long-running sports medicine practice in Palm Desert, California. Along the way, he offers practical advice for younger physicians about mentorship, employment contracts, family considerations and the financial realities of private practice. The conversation also explores Pat's work with medical-device companies, including his role in developing robotic technology for shoulder replacement surgery. He explains why thoughtful collaboration between physicians and industry is essential to advancing patient care. Finally, Pat discusses the importance of retiring to something rather than simply retiring from medicine. He shares how a longtime passion for wine became a challenging and rewarding second chapter, and why physicians should begin planning early for a meaningful life beyond clinical practice. Learn more by visiting the original episode page. Learn more, including additional show notes, links, and detailed key takeaways, by visiting visiting the original episode page. Check out other episodes from our 6 seasons by visiting, physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

Send us Fan MailRelaxin is one of the first words you learn when you find out you're pregnant. Somebody hands it to you like a fact. Your joints are loose, your pelvis is unstable, be careful, this is just what pregnancy does.Here's the problem. Everyone has relaxin. Not everyone has pelvic girdle pain.This Summer Rewind is with Dr. Sinead Dufour, a Canadian pelvic health physiotherapist, researcher and co-founder of The Womb, and she has spent years trying to drag the actual state of the science on pregnancy-related pelvic girdle pain out of the journals and into somebody's treatment room. The systematic review on relaxin and pain has been sitting there since 2012. The authors of the guideline that made the relaxin story famous have since gone back and said they didn't interpret the data correctly. And moms are still being told their pelvis is coming apart.Sinead also gets into virtual pelvic health care (she was doing it well before 2020, and no, it is not the discount version), the new Canadian guidelines on obstetrical anal sphincter injuries, and the fact that cesarean birth is the number one surgery performed in Canada and was not in the physio curriculum until last year. That one still gets me going.

[43] The Hidden Curriculum Exposed: When the CEOs of Canada's Family Medicine and Specialist Colleges Compare Notes on Medicine's Unwritten Lessons This episode was first released on May 26, 2026 On this episode of KeyLIME+, Adam sits down with Chris Watling and Mike Allan (the CEOs of Canada's two national medical colleges) to unpack the hidden curriculum in medicine. Together, they explore how subtle signals in our learning and working environments shape identity, influence career pathways, and reinforce hierarchies both between and within disciplines. From the loss of shared spaces like physician lounges, to structural pressures such as competition for residents and fragmented training pathways, to the powerful role of public narratives, the conversation examines how these forces quietly sculpt our professional culture. Chris and Mike reflect on their own professional experiences, the impacts felt by learners in both family and specialty practice, and what it might take to move toward a more respectful, connected, and collaborative medical community.   Length of Episode: 38:11   Contact us: keylime@royalcollege.ca     Follow: Dr. Adam Szulewski https://x.com/Adam_Szulewski           

☀️This is a Summer Rewind. One of our favourite conversations, back in your feed while we get ready for Season 5.In this episode of The Conversation with Nadine Matheson, we're joined by the insightful Kasim Ali, author of the thought-provoking novel Who Will Remain. Together we delve into the complexities of identity, family, and the struggles young men face in today's society.Kasim shares his journey as a writer, discussing the challenges of portraying the realities of his community authentically while navigating the expectations placed on him as a South Asian author. We explore the themes of his novel, which follows Ahmed, a young man grappling with loss, societal pressures, and the quest for self-identity amidst chaos. As he turns to a life of crime in search of respect and control, the narrative raises poignant questions about choices, consequences, and the quest for belonging.Along the way, Kasim also reflects on his career in publishing as both author and editor, including some sharp, funny observations on the meeting-heavy culture of post-COVID work life, and what it's taught him about respecting people's time and communicating with clarity. It's a candid look at balancing creative ambition with the practical (and sometimes absurd) realities of working in a predominantly white industry.Listeners will gain valuable insight into the creative process, the importance of representation in literature, and the personal experiences that shape a writer's voice. This episode is a compelling exploration of how our backgrounds influence our narratives and the power of storytelling to challenge societal norms.Follow Kasim Ali Buy Who Will Remain Buy the Book: The Shadow CarverBuy me a cup of coffee ☕️ | Buy books by my guestsFollow Me Bluesky | Substack | Instagram | Facebook | Threads Hosted on Acast. See acast.com/privacy for more information.

Mike Stephen looks back on segments previously aired on the show. Enjoy!

This week we have a Summer Rewind where we dig up a favorite episode from past seasons. For Gregg summertime means fishing with Dad. Listen to this weeks episode "Summertime"The Compulsive Storyteller Podcast is a series of short personal true stories in 20 minutes or less written and narrated by, Gregg LeFevre. © Gregg LeFevre 2026

This week on The Conversation, we're revisiting one of our favourite gothic conversations with bestselling author Laura Purcell.Laura is known for her atmospheric, unsettling fiction, and in this episode we talk about her novel House of Splinters, a prequel to her hit book The Silent Companions. Set in a haunted house in 1775, the story follows Belinda as she uncovers dark family secrets while trying to protect her children from the shadows of the past.We talk about what it takes to write a prequel that has to honour a beloved original while still standing on its own, and Laura is refreshingly honest about the pressure that comes with that. She also opens up about her writing journey more broadly, from self-publishing her first book to finding her way into traditional publishing, and how she went from historical fiction into the gothic genre that's now her signature.Some of the moments that stayed with us:Laura on constantly reinventing herself as a writer, and why that adaptability matters in a market that never stays stillThe particular sting of "good" rejections, the kind where an editor praises the writing but says no anyway, and how she's learned to sit with thatWhy she refuses to write to trends: "by the time you've finished the book, that trend will be over"The pressure of writing House of Splinters and staying true to her own mythology while giving readers something newHer advice for authors navigating a publishing industry that can feel relentless: patience, flexibility, and trusting your own voiceThis one's for anyone who loves gothic fiction, or anyone who's ever wondered what it really takes to build a career as a novelist. Sit back and enjoy this rewind while we get ready for Season 5, back on 8 September.Follow Laura PurcellBuy House of SplintersPre-Order 'House of Splinters' Paperback Buy the Book: The Shadow CarverBuy me a cup of coffee ☕️ | Buy books by my guestsFollow Me Bluesky | Substack | Instagram | Facebook | Threads Hosted on Acast. See acast.com/privacy for more information.

This summer, join host David Mandell as he revisits and highlights episodes from Season 5 of The Wealth Planning for the Modern Physician podcast, in our 2026 Summer Rewind Series. "I genuinely believe there is a lot of information to gain from all of our episodes deliver, but for the summer, I've handpicked a few that offer intriguing ideas and a unique perspective for physicians in 2025," says David. "I hope you enjoy this Season encore series. Have a great summer!" Episode 5.8 | Originally Released: December 25, 2024 Host David Mandell continues his conversation with dentist and coach Dr. Sue Keller. Picking up where they left off at the end of Part I, David and Sue discuss the ongoing financial challenges of her specialty dental practice. Here, they tackle Sue's difficult decision to file bankruptcy for the practice after more than 20 years—and the legal, practical and emotional processes involved. The discussion then turns to Sue's transition after closing her practice—from working part-time for another dentist, serving patients as part of a non-profit and her eventual interest in, and transition to, coaching. David and Sue conclude the conversation chatting about Sue's role as a coach and how physicians and dentists could benefit from this type of advisor. Key Takeaways from this Episode: Bankruptcy does not necessarily mean failure, but it can be a step toward a more balanced life Regular evaluation of business and life balance is vital The importance of community and support in times of crisis     Learn more, including additional show notes, links, and detailed key takeaways, by visiting visiting the original episode page. Check out other episodes from our 6 seasons by visiting, physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

[38] AI and Emerging Skill Gaps: Deskilling, Never‑Skilling, Mis‑Skilling—and What Educators Can Do About It All This episode was first released on March 17, 2026 In this episode, Adam sits down with Dr. Raja-Elie Abdulnour to explore how AI is reshaping medical education and why it has the potential to quietly erode clinical reasoning. They discuss the emerging risks of deskilling, never-skilling, and mis-skilling, and how AI can widen gaps between high-performing and low-performing learners. Raja-Elie introduces the DEFT-AI framework, a practical approach for turning AI-assisted moments into teaching opportunities that strengthen, rather than outsource clinical judgment. Their conversation highlights both the promise of AI and the need to help learners use it wisely so we do not lose the core of what it means to be a medical expert.   Length of episode:  41:30 Resources to check out: - https://www.nejm.org/doi/full/10.1056/NEJMra2503232 https://www.ynharari.com/book/nexus/   Contact us: keylime@royalcollege.ca    Follow: Dr. Adam Szulewski https://x.com/Adam_Szulewski  

We're taking a summer break here at The Conversation, so we're bringing back one of your favourite episodes, my conversation with Sunday Times bestselling author Adele Parks.In this episode, Adele and I talk about her journey through the literary world and the release of her 25th novel, Our Beautiful Mess. She shares her experience of storytelling from a young age, the challenges she's faced in her career, and how her writing has evolved from romantic comedies to psychological thrillers.We talk about the importance of connection, both in her personal life and through her characters, and what it takes to hold onto your own voice in a competitive industry. Adele reflects on the lessons she's learned from grief, her journey as a writer, and how she balances the demands of a writing career with everyday life.It's a heartfeIt exploration of resilience, creativity, and the power of storytelling — and since we first recorded this conversation, Adele has a brand new book out: Eyes on You. Go grab a copy.Follow Adele ParksBuy Eyes on YouBuy the Book: The Shadow CarverBuy me a cup of coffee ☕️ | Buy books by my guestsFollow Me Bluesky | Substack | Instagram | Facebook | Threads Hosted on Acast. See acast.com/privacy for more information.

Country music icon & Tech's own Kix Brooks plays the role of radio analyst when he joins Kyle Schassburger for the 3rd quarter in the Bulldogs' demolition of Sam Houston on Homecoming. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailMost nonprofit strategic planning mistakes don't show up until year-end, right when your fundraising push exposes exactly what's missing.Being busy isn't the same as having direction. In this Summer Rewind, Cara Augspurger, CFRE, breaks down the five steps that took her organization from constant firefighting to a plan that actually holds up, in six months.What you'll learnHow to tell real growth from just being busy, before it costs you at year-endThe one question your strategic plan has to answer firstHow to run a funding reality check that shows exactly where the gaps areHow to set numbers-based targets for a "good year", no gut feel requiredAbout Cara Augspurger, CFRECara is the Executive Director of Grace Care Center Foundation and host of The Nonprofit Podcast.About DonorboxDonorbox is a trusted fundraising platform used by more than 100,000 organizations worldwide, helping raise over $4 billion for causes that matter. Learn more at donorbox.org.Enjoying the show? Subscribe for more practical fundraising strategies, leadership insights, and tools to help your nonprofit grow sustainably.This episode is for educational purposes only and isn't legal or financial advice. Please consult a professional advisor for guidance specific to your organization.Support the show

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In the latest 'Summer Rewind' episode, Tech opens league play with an emphatic 49-14 victory over New Mexico State at Origin Bank Field at Joe Aillet Stadium. The 'Dogs piled up 353 rushing yards on 65 carries in their 5th straight home-opening conference game.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Trees are a major cause of power outages. They're also a wildfire risk—when branches hit a conductor, a small spark can become a big blaze. Lynn Petesch of Overstory joins thinkenergy to talk trees, exploring how AI, satellite imagery, and vegetation intelligence help utilities prevent outages and reduce wildfire threats. Including Hydro Ottawa, who saw a 44% drop in tree-related outages since partnering with Overstory. Listen in for how we work together to keep the grid safe in an era of extreme weather.   Related links    Overstory: https://www.overstory.com/ Lynn Petesch on LinkedIn: https://www.linkedin.com/in/lynnpetesch/    Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-8b612114    Hydro Ottawa: https://hydroottawa.com/en      To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405 To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited Follow along on Instagram: https://www.instagram.com/hydroottawa Stay in the know on Facebook: https://www.facebook.com/HydroOttawa Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: [00:00:00] Trevor Freeman: Hi everyone, and welcome to the summer edition of Think Energy. We are officially in podcast vacation mode. So while our normal day-to-day work continues, we're taking a brief pause from our kind of regularly scheduled episodes to recharge, to think about what's coming up in the year ahead content-wise, and just do some planning. But while we do so, we don't want to leave you without anything to listen to, so we look back at some of our favorite insights and episodes over the past year, and that is our summer rewind. So this summer, we're tackling a pretty significant and overarching theme that's really defining the current state of the energy transition, and that is the collision between digital infrastructure and physical infrastructure as it relates to our energy grid. It's this really kind of fascinating look at old versus new, traditional versus up-and-coming, and how we progress to meet the energy needs of our customer base, the growing energy needs as we electrify, as we, you know, expand, while also implementing new technology to protect our grid, protect our assets, to better manage things. So it's kind of a common theme in a lot of episodes that we have done in the last little while and a lot of the conversations that we're having. So in Part 1 today, we're kicking things off with a look at the physical world of our grid and how we're using new technology to protect it, and that is our conversation with Overstory. So we'll re-examine how we use high-resolution satellite imagery and artificial intelligence to act as kind of a shield almost, you know, helping utilities proactively manage our vegetation and reduce vegetation-to-powerline contact, which can reduce power outages, wildfires in many cases, and really has been an important tool for us here at Hydro Ottawa as well as in the utility industry more broadly. So sit back and have a listen to my conversation with Lynn Pedesch from Overstory, and enjoy this summer rewind.   [00:02:26] Trevor Feeman: Welcome to Think Energy, the podcast that dives into the fast-changing world of energy through conversations with industry leaders, innovators, and people on the frontlines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional, and up-and-coming facets of the energy industry. If you have any thoughts, feedback, or ideas for topics we should cover, please reach out to us at thinkenergy@hydroottawa.com.   [00:02:58] Trevor Freeman: Hi everyone, welcome back. Today on Think Energy, we're going to be talking about trees. Yes, you heard that correctly—trees. I know this is a show about energy, but there's actually a very real connection between our electricity grid and those slow-growing, majestic givers of shade, lumber, fruit, and so many more benefits. Honestly, who doesn't love trees? But I'm not just kicking this episode off in my capacity as a tree hugger. Let's take a look at this through a utility lens, and I will use Hydro Ottawa as an example. Hydro Ottawa's service territory includes some very rural and very forested areas. Even our urban territory has a fairly extensive tree canopy. As a result, Hydro Ottawa trims about 60,000 trees each year. Now why? Because trees contacting power infrastructure is a big problem. Tree interference remains a leading cause of power outages for us. Strong winds force them onto our wires. Heavy snow or freezing rain builds up and weighs down branches, breaks limbs, and increases the risk that part of a tree may touch a line. And in some extreme cases, heavy storms can even send trees or branches crashing into our poles, damaging the poles. The struggle between power lines and trees—which again, don't get me wrong, we all love trees—has been going on for years. There is a constant struggle between trimming enough and getting the right trees trimmed and maintaining as much tree coverage as we can. In 2022, we identified a disruptor in this stance. The solution came through a partnership with Overstory, a company that uses satellite imagery, infrared technology, and artificial intelligence to help utilities manage vegetation and trim trees more efficiently. And the timing could not have been better. Just days after we started working with Overstory in the spring of 2022, the Derecho hit Ottawa. Our Ottawa-based listeners will remember this storm well. It was monumental in the history of our city and indeed for us as a utility. Winds reached 190 kilometers an hour. For our non-metric listeners, that's nearly 120 miles per hour. The storm ripped through poles, houses, and caused considerable damage to our city's urban forest. Overstory played a crucial role during the cleanup and in helping us level up our vegetation management strategies moving forward. We realized that the insights we got from Overstory would help improve our proactive approach to tree encroachment and hazard identification, and this is essential in this era of extreme weather events. We know that climate change is causing more frequent and more extreme weather events. According to Climate Central, the number of weather-related power outages in the United States increased by 78% between 2011 and 2021. And severe weather accounted for over a thousand outages across Nova Scotia just in the year of 2024. We want to keep you connected during these heavy storms, and that's why we're looking to organizations like Overstory. So what does Overstory do to help us keep the lights on? Well, without giving away too much, because we're going to get into the details shortly, Overstory, through a detailed analysis of the scans they do of our entire grid, identifies high-risk areas which we can then prioritize and better focus our resources when it comes to vegetation management. This level of monitoring and focus reduces the risk of trees from coming into contact with our poles and disrupting your connection to the grid. The results speak for themselves. Since partnering with Overstory, we've reduced vegetation-related outages by 44%. And that's only part of the story. As we'll discuss further, Overstory also plays a crucial role in helping utilities prevent wildfires in high-risk areas across North America. Similar to extreme weather, wildfire frequency and intensity is also increasing, in part due to climate change, expanding cities, and many other factors. And when wildfires do happen, these stories are heartbreaking. What many people don't realize is that lots of wildfires are sparked by trees making contact with power lines. And that is why Overstory plays a key role in tagging areas where those fires are most likely to ignite and spread, making it easier for utilities to prioritize trimming work and vegetation management in those areas. To dive more into how Overstory is helping us here at Hydro Ottawa and other utilities, helping us identify and act to mitigate risk associated with vegetation, I'm really excited to have Lynn Pedesch on the show today. Lynn is Overstory's Head of Customer Success and has spent the past 10 years building customer-facing teams with a specific focus on technologies that tackle the climate crisis. She began her career working for the United Nations and the diplomatic service of her home country Luxembourg, before moving into the tech sector to really work in environments where she could drive impact more quickly and at greater scale. Lynn Pedesch, welcome to the show.   [00:08:05] Lynn Pedesch: Thank you. Thanks for having me.   [00:08:07] Trevor Freeman: Okay, so let's start at the very top with a high-level look at what Overstory does and how the organization came to be.   [00:08:15] Lynn Pedesch: Yeah, let me tell you about Overstory. I mean, we are a vegetation intelligence platform. We use remote sensing and AI to give electric utilities, including Hydro Ottawa and others, a clear system-wide view of their risk. They always do it because they want to address three things, or sometimes more, but kind of there's always a few goal posts, and it's either improving reliability, reducing wildfire risk if that is if they're in an area where that is a concern, and/or improving operational efficiencies. So Overstory very much becomes a decision-making tool for their programs. We're used mostly by the vegetation management people, operations people, wildfire mitigation teams, and they each time they want to either use a program that exists, prioritize it, reshape their work, they might be preparing for a storm, they might be working on a wildfire mitigation risk. So the company more broadly was founded in 2018 by Aniek Schouten and Indra den Bakker—this was back in the Netherlands. And they were leveraging or getting really interested in satellite imagery and were very initially using it for deforestation purposes. So the climate resilience DNA has always been with us, but like any startup, we were looking at that kind of target audience that was most interested in what we had to offer. And pretty quickly, we landed on the electric utilities. They had the most pressing need to use remote sensing at scale to solve very big problems, honestly. And so we pivoted into that space of electric utilities. And then in 2020, Fiona Spruill, who's our CEO right now, she joined us. She shaped the company into what it is today, and that is really around building safer and more reliable operations.   [00:10:14] Trevor Freeman: That's great, and I want to dive into some of the details. Our listeners will know that we talk a lot about grid modernization here and talk a lot about better intelligence of what's happening on the grid in all aspects. And something we haven't really talked about and I'm excited to talk to you about today is the sort of vegetation management side of it. So really excited to get into the details, but before we do that, I'm always really curious to understand, you know, the people behind the conversations. How did you get into this area of, you know, high-tech vegetation management? I touched a little bit on your bio in the intro, but give us a sense of, you know, how did Lynn come to be in the space that you're in right now?   [00:10:52] Lynn Pedesch: Yeah, I wouldn't say I grew up thinking I was going to work in this space, but I love working in it now. So actually right out of college, I went to work for the United Nations, but then in the last 15 years, I started working at high-growth tech companies, startups, and I've always been focused on leading and building CS operations, which is basically the customer success teams. They're the ones that are in front of the customers, implementing these software programs, kind of working very closely with customers, solving problems. And about four years ago, I decided that I did want to focus the rest of my career on solving the climate crisis more broadly. And I remember very clearly that I came across Overstory and there were two things that really resonated with me. One was hearing that utility-caused wildfires could be a thing of the past—like they are preventable—and the other thing was learning about this world where vegetation is the biggest cause of outages, which is, you know, I did not know before! And so I think, you know, having these very clear goals is very compelling to kind of work on something where it's so easy to understand what the big problems are. So I joined Overstory, and for the last couple of years, I've been building a team that gets really deeply embedded in these utilities, specifically with the vegetation management and the wildfire mitigation teams. And we work on their programs, we understand their programs, we help them reshape their programs, we roll out obviously the software element that is Overstory. It's been very fun and rewarding work.   [00:12:30] Trevor Freeman: That's great. And I really love, you know, talking to people from a variety of areas that touch on climate change and the climate crisis, and I think there's a bunch of us who share that passion of wanting to do something. I spoke with a group of recent grads about what a green career, what a career in climate change looks like, and really it looks like whatever you want it to look like. There are so many aspects that touch on this. So kind of neat to hear how that was your passion and then you figured out where it made sense for you to enter into the climate sphere, so that's great.   [00:13:06] Lynn Pedesch: Yeah, I guess when I was young, I thought you had to be a scientist to work on climate, and I think now anyone can find an angle on how to contribute to it, and I think everyone needs to help contribute.   [00:13:15] Trevor Freeman: Yeah, any job can be a green job if you care about it and if you make it that. Okay, so let me get back to Overstory. Tell us a little bit about the evolution of the company. You talked about it kind of founding about seven years ago. Tell us how it's evolved and progressed over those seven years.   [00:13:30] Lynn Pedesch: Yeah, so when we started working with utilities, I think at that point everyone was kind of assessing whether satellites could be a good use case for analyzing vegetation. We're now talking about 30-centimeter imagery, so the resolution of satellites has become incredible. You can really see branches, you can detect species of trees, you can see if they're healthy or not. So initially that was kind of our MO. We really were the leading provider to find out where the trees are, how close they are in terms of proximity to your network, so to the conductor, which is the risk. You know, we're looking at the terrain. If you're looking in the mountains in Colorado, you have very different terrain than maybe in Ottawa. So, you know, detecting tree species has been really interesting, detecting the health of trees, and how that decline is furthering. A lot of utilities are experiencing a lot of tree decline, die-off right now. So that was how we started. And then we started working with the really big utilities, and you had to think about this problem at scale. Now we might be scanning with satellites tens of thousands of miles at a time. And some of these utilities, they might have thousands, if not tens of thousands of trees that could pose a risk to their network. They might have had a really big, large weather event, a storm that knocked over some of their system. So at that point, it all becomes about that decisioning tool. Everything starts becoming a priority. And I think that's now where we're really leaning into, is making not just surfacing the data, but making it very actionable. Utilities have a lot to deal with. They deal with very tight budgets, they deal with crew constraints, they might have an aging workforce, there's regulatory pressure, they're really vulnerable to storms, increasingly there's a lot of wildfire exposure. So everything becomes a decision of where should I focus my attention, where can I get the biggest bang for my buck, what should I do, what should I not focus on. And that decisioning is where we really want to be a key player in.   [00:15:47] Trevor Freeman: Absolutely. And looking forward, I know we're jumping the gun here, we haven't gotten into the details of what you do, but looking forward, what is your vision for kind of the future of this space and how it's going to continue to evolve? Are you mature as a company yet or as a sector, or is there still a lot of growth to happen?   [00:16:04] Lynn Pedesch: Yeah, I think the vast majority of utilities are now leveraging remote sensing. It could be LiDAR, it could be drones, it could be satellites, so that has become a pretty established tooling within the sector. I think what our vision really is, is providing utilities that share resilience-first picture of risk. So, you know, we imagine a world where you can kind of see the emerging risks and you can start becoming proactive. Being proactive in this space of vegetation management has been really challenging. You never know where the next tree is going to fall, and over the last couple of years, customers suddenly have access to this risk across the territory so they can start being proactive about it. As a matter of fact, that was a key use case also with the team at Hydro Ottawa, is to start launching these proactive programs. And I think when we think about it, we get very excited about the world in which anyone from the field crews to the vegetation managers to the operation folks to the execs to the regulators, the community partners who think about the safety of their communities, all have that kind of shared view of risk. Just imagine, they all understand the same risk, they operate off the same sheet, and they make the same data-driven decisions. That could solve a lot of problems, because right now the data is often scrambled across different people—certain people have access to it, and certain people don't.   [00:17:33] Trevor Freeman: Great. Okay, so let's get into the specifics here. I want to actually talk about specifically what Overstory does. How do you find—we've kind of talked about vegetation management, obviously you're supporting Hydro Ottawa and other utilities in our vegetation management programs—how do you find and tag high-risk vegetation? What is high risk? Like, what do you actually do on a day-to-day basis?   [00:17:58] Lynn Pedesch: Yeah, that's the part that I deal with the most often! So excited to get into the specifics. Implementing with Overstory is actually pretty easy. I mean, when we start working with a customer, we need to know where your grid is, so we need to understand where your power lines are running. We need to understand the main configurations of them, you know, how tall are the poles, etc., so we can really compute that whole focus of where the trees are in relation to your power lines, to your conductors. That's all ultimately that we're focusing on. Increasingly, we're also focusing on the ground, I'll be talking about that as well. We then task these satellites over your territory. We do that during the leaf-on season, so that will be the summer, essentially. And then we run all these models. So we first need to understand where the trees are, what is their height, and what is their health. An unhealthy tree is much more likely to fall and cause damage to your power lines. We're looking at the fuels on the ground. We can help you determine what type of equipment you might need to attack certain types of vegetation, and we always compute that risk to the conductor, and we look at your right-of-ways. Now, I think the interesting part about your question is what is high risk, and that can be very different across different utilities. And I think that's the maybe unique part with Overstory, is that we can configure it to your standards. So every utility has very unique components. If you're on the West Coast and you're concerned about wildfires, your tolerance to risk will be very different than if you're on the East Coast where you're mostly concerned about not causing too many outages. Including that, you might have specific trimming specifications. The crews run around with chainsaws, they know exactly how far out they need to trim, how much they can trim, and there's a bit of a risk tolerance thing. So we build very configurable risk frameworks for all of our utility partners, so "high" means one thing to Hydro Ottawa, means something different to a customer in California that is facing a very different type of risk.   [00:20:04] Trevor Freeman: So you're out there assessing, essentially just for the context of our listeners, you know, we've got power lines that run overhead, they run through residential neighborhoods, commercial areas, but also forested areas, treed areas where there's lots of vegetation near our equipment. Your company really gets an understanding of the interaction between the vegetation and our lines, and says these ones are too close, or this is a tree that's, you know, not healthy and could come in contact with your lines based on your analysis. So help us, like let's paint that picture a little bit more detailed. How do utility companies take the information that you are coming up with, that your analysis is coming up with, and use that to run a vegetation management program more effectively? What does a utility do with that information?   [00:20:56] Lynn Pedesch: Yeah, so we always center it around four main use cases. One is optimizing a program that already exists, it's creating a targeted program for you, it's quantifying your work, and risk reporting. And I'll dive into each and every one of them a little bit to illustrate a bit more what that could mean. So when we think about program optimization, a lot of utilities have existing vegetation management cycle, they might have a regulatory obligation to visit their territory every four years, for example. Now a lot of times, they've been doing their program the same way for the last 10, maybe 20 years, but the conditions in their territory are different, right? I mean, the things we're seeing, the storms are heavier, there's more tree decline that we're seeing right now. So they know they need to adapt and they need to adjust it, but it's big programs with lots of budgets attached to it, a lot of crews running around, so starting to think about how you can start pulling a circuit that you're meant to trim forward, or starting to tackle an area where you say is more residential, there's fewer trees, focusing on your high-risk areas first, re-managing these programs is one key component that we work with a lot of companies on, and thinking about Oklahoma Gas and Electric, for example, that they have a budget and they can only do that much with the budget, and it was really about reinventing where they can get the biggest impact. The second use case is this targeted program creation, and I'll use the Hydro Ottawa use case for that. You know, they suddenly had a view about where all of their hazard trees are. Hazard trees are these trees that are declining, they're dying or they're dead, and they could have an impact on your system. Now suddenly you know where they are, so you can start building a targeted program about dedicating some time and budget and crews to actually going and addressing those trees. That has a big impact on your reliability and on reducing tree-caused outages. And there's many others, sort of like hot-spotting is a very common term about starting to become proactive and doing something for a specific program. The third use case is work quantification, and I think there, when you think about it again, there's large contractors that are running around managing your territory, and now utilities for the first time often have that data to actually assess how much work there is. So that's really helpful in terms of negotiating your contracts, getting better bids. Some utilities say it's pretty hard to find contractors that want to work on their system because it's very hard to estimate how much work there is. Or they might have a budget to mow certain vegetation along a transmission corridor. Just knowing how much vegetation there is is a really helpful tool to address it and prioritize it in the right way. And then the fourth use case is risk reporting, and that is about getting that baseline view about your risk and tracking it year-over-year. And this is really where we want utilities to have that data to report it out to their boards, insurers, regulators, and often it's used to defend your budget, secure your budgets, or really have some data to kind of back you up on what the problems are that you're facing.   [00:24:26] Trevor Freeman: Great. So you talk about data, and, you know, each of those use cases that you mentioned or strategies that you mentioned really are about getting the right information in the hands of the right people to make decisions and sort of more efficiently and effectively make decisions. But it's a lot of data. And so Hydro Ottawa has over 6,000 kilometers of lines, you know this of course as our partner. We have a big territory and we have a fairly treed territory. That's a lot of data points. You're collecting a lot of data from your satellites, you're doing analysis on that. How are you doing that analysis? Is it—you know, AI is kind of a buzzword in every sector right now, and the utility sector's no different. Are you using some form of AI or machine learning analytics? What are you doing in terms of, you know, crunching the numbers and coming up with the right actions?   [00:25:25] Lynn Pedesch: Totally. Yeah, AI is a buzzword, but it's also very exciting. I think utilities have really embraced it already. They're using it for demand forecasting, they're using it for customer service, they're using it for asset planning. I mean, at the core, Overstory has been using AI to turn remote sensing data into operationally useful intelligence about their vegetation. So when you say, yes, Hydro Ottawa has that many thousands of kilometers of overhead lines, we need to rank it to them: This is your worst circuit, this is your worst area, this is the area where you have the most hazard trees, for example. So we can really rank order on a span level from the worst to the best, right? So that could be one thing. It's still an overwhelming amount of data. So where we started by using AI to kind of predict where the trees are, how tall are they, what was their relation to the conductors, now what we're really excited about or kind of leaning into with AI is how to intelligently kind of assess and prioritize risk. So not every hazard tree has the same impact. If a hazard tree falls on a line where more houses are dependent on, you will knock out the power of more people. So it's always a prioritization exercise, and leveraging AI for that is what is most exciting to us right now. And I think it's important to note that we also don't just want it to be a black box. All of the models we've built, they're always validated by certified arborists and kind of our utility partners, and I think at this stage, this is very important, because every tree that we find exists in the real world, and so validating this AI with ground-truthing has been really important for us to also build that trust in the technology.   [00:27:14] Trevor Freeman: That's great. And I do think it's helpful for our listeners to kind of understand the context before this. This work is sort of done—you know, in the absence of a tool like yours, it's sort of done, you know, there's a degree of manual effort here. There's a degree of patrolling the lines, there's a cycle of vegetation management. So if you've done a line this year, in three years or four years or five years, you want to be looking at it again. This takes a little bit of that—I don't want to call it guesswork, but it takes a little bit of that manual effort out of the equation and really focuses efforts in the right way, and it's only with the tools that, you know, you folks are using that you're able to do that volume of analysis and get that pinpoint accuracy. So that's fantastic. Let me get into the success of it all, like the big picture. We've obviously talked a couple times here that you're our partner here at Hydro Ottawa, so I know the success that we're having with you, but, you know, tell us some of the great success stories with other utility partners. Are you actually reducing weather-related outages? Are you seeing the impact of using the Overstory tools and methodology to support utility partners?   [00:28:28] Lynn Pedesch: Yeah. I mean, weather-related outages can mean many things. You have trees knocking over, like the pole might crack, etc. You know, those, there's a lot of things that can happen during a storm, and I've heard a lot of stories about some of the storms that Ottawa has experienced in the past years where, you know, you could have had anything and they're just heavier and the consequences are really strong. But what we can impact is the tree-caused outages. And that we've proven with Hydro Ottawa where, within a year, by focusing that targeted program on going to an area where you had a massive amount of these trees that were dying off, and at any point with just a little bit too heavy wind could be toppled over and fall on the line, we had a 44% reduction in tree-caused outages. That's a real, tangible number you can see. I'm thinking about a utility as well on the East Coast, a co-op that runs through very rural areas. In those areas, you have trees outside of the right-of-way that are toppling over onto lines, so tree-caused outages are a huge issue for them and it's really impacting their SAIDI and SAIFI, those key KPIs that utilities are always tracking. And by us just giving them a rank order of which hazard tree—they had so many of them—which hazard tree to even go to first, because if that hazard tree were to fall on a line, a ton more people are going to be out of power than if the other one were to fall on the line where you will have like one rural cabin that will not have power. That led to a reduction of something around 90% of tree-caused outages to 70%. It's still a long way to go, but it was a really tangible number that you can see, and it shows that if you then do that proactive work, you have a real impact on your tree-caused outages. And if I think about our customers in California, Pacific Gas and Electric for example, it's a lot about helping them understand where they don't need to go. So it's kind of doing something of a visual inspection and actually skipping certain spans. That can be in itself a really big use case, because right now, if you don't have an understanding about where your risks are, you might be sending trucks to roll for hours around areas where there is not really any tangible work to be done. So redirecting them to the right areas is where we've seen a lot of success there, and that obviously leads to budget wins, right? You'll be saving a lot of money by doing that, and those are kind of the use cases that we chase and that we kind of help prove the cases on.   [00:31:07] Trevor Freeman: Absolutely. Yeah, there's only so many resources you can throw at this, and making sure that we prioritize and focus those resources in the right spot is absolutely critical. You were just talking about the West Coast and you mentioned this earlier, I know wildfires is an area that is obviously of great interest for your organization. We're fortunate here at Hydro Ottawa in that we haven't really had to deal with that much, but anybody who's, you know, following the news knows this is a major problem for us. So how, what is your role in helping those utilities prevent wildfires? Maybe give us a very quick primer on why utilities are a factor when it comes to wildfires first, and then how your organization is supporting that.   [00:31:52] Lynn Pedesch: So unfortunately, utility-caused wildfires tend to be the most catastrophic wildfires because they're critical infrastructure, and we've obviously seen that happen across the world and in the US recently again and again. But utility-caused wildfires, as I said at the beginning, are also the actual wildfires that are preventable. So that's really where we're lying into. A lot of the forests right now, they've become tinderboxes. That is obviously because of fire suppression policies, that's because of forest management techniques that have been leveraged in the last couple of hundred years that are slowly changing at a different pace. Canada's had some, unfortunately, some really bad fire seasons recently as well. And so where Overstory wanted to place itself is in that prevention space—to even not get to the point where you have a spark, because there's a lot of tools out there that focus on mitigation and what do you do when you see that first plume of smoke coming up, and so we've landed in kind of really focusing on the prevention side so that utilities are hopefully in the future not the ones that spark any of those catastrophic wildfires. We've already always been looking at the vegetation that could touch your conductor, right? That I've been speaking about a lot. But now we're really excited for the first time and we recently announced that we launched a fuel detection model. So that's us looking at the ground fuel conditions, and those are actually usually the key contributors to the spark that spreads the fire. We're now providing that to utilities as a much higher resolution than ever before. For me, it's interesting cause I've spent a lot of time looking at trees, and now I'm going into the field and I'm looking at the ground, and it's a new perspective! But yet again, we could just, you know, we don't want to overwhelm our customers with a lot of maps and showing the fuel conditions necessarily, we can really help them identify those spans where a single failure would have the greatest consequence. So yet again, it's about how to make that data—there's a lot of wildfire risk maps out there—but make it a very actionable list of spans that if they were to tackle those, they are very proactively reducing the risk of igniting a fire and as a result obviously protecting their communities.   [00:34:10] Trevor Freeman: Got it. So it's not just about the overhead trees, branches, etc., contacting the line, it's, you know, if a switch goes, if an insulator pops, if something happens that will cause sparks, what's happening on the ground below that line, and how do we make sure it is able to withstand sparks that might happen.   [00:34:29] Lynn Pedesch: Exactly. If you have dry grasses, if you have sagebrush, if you have certain types of fuels, they're just much more likely to spark a fire and then spread out without there even being any trees. You have these prairies along Texas that can blow up in a fire very quickly, and the fires can spread to tremendous sizes. And so understanding the fuels on the ground is really important.   [00:34:55] Trevor Freeman: Super interesting and fascinating, fascinating work to get involved in. As you mentioned, this is obviously an area of, I don't even know if I'd call it growing concern anymore, great concern for the utility industry and all of us. So with the technology that's, you know, we talked about AI a little bit ago, it's literally growing before our eyes, it's really evolving fast. Do you see your technology evolving along with it? What's kind of next for your organization? You talked about getting into sort of the ground vegetation management—what comes next? How do you see it evolving as AI and tools evolve?   [00:35:32] Lynn Pedesch: Yeah, I mean, if we see that the future is where we want to support a grid that is much safer and reliable as I mentioned, we also want to make sure it's resilient to the climate and the economic pressures that there are. So our initial focus and our continued focus and where we have a lot of our expertise has been with vegetation. Now we're starting to look at the ground fuels, then that naturally evolves into looking at the asset vulnerabilities, so, you know, the actual poles and if there's any failures potentially on those, as well as further weather exposures, right? It becomes then about the soil moisture, it becomes about the wind speed, it becomes about the rain precipitation, etc. So there's a myriad of things that we can start looking at and that we want to start looking at in order to get that more holistic view of risk and go beyond just vegetation. Right now where we're investing most heavily in is that wildfire risk. There's also the resolution that we see with satellites right now is at 30 centimetres, that might drop down to 15 or 10 centimetres, so the resolution will get higher. There's other sources that we're exploring already, sometimes flying aerial imagery that is at 5 to 15 centimetres. Then you really start seeing—then you can start seeing a leaf on a tree! It gets really impressive. There's LiDAR, there's lots of other kinds of remote sensing technologies that we're looking to leverage in the future. And then as a company as well, we're starting to obviously also expand internationally. We started working with utilities in New Zealand that have very similar problems and various regulatory changes, they also have a problem with wildfire risk. So that is another angle that at Overstory we're chasing right now.   [00:37:18] Trevor Freeman: Yeah, I'm glad you brought up that understanding of other assets beyond just vegetation has kind of been running through my head of—we talk about, and I think we've talked about it here on the show, if we haven't I should do an episode on that, like a digital twin. A digital twin of our grid, and really having a good understanding of not just, you know, a line drawn on a map of, "Hey, your circuits run this way," but really physically what's happening out there and it being able to sort of model that, interact with it in a digital way to understand if we do X, Y, and Z, what happens. So the technology that you guys are using to really get good imagery and understanding of what's out there, I think what I'm hearing from you is that could potentially be leveraged in that next level to understand what poles do we have, what health are they in, what's happening with that conductor, is it sagging too much, is it in good health, like there's all this opportunity. That's really fascinating to hear.   [00:38:15] Lynn Pedesch: Yeah, already now when we look at transmission corridors, we look at the sag of these lines, and the terrains are also really challenging things to look at. So there's a lot of factors that need to be taken into account, and that can only expand as we want to look at risk more beyond just the vegetation element.   [00:38:34] Trevor Freeman: Very cool. Well, Lynn, very, very interesting to hear this. I'm really glad you came on the show today to talk to us. Fascinating to hear what Overstory's up to. I know that we're super excited to be working with you here at Hydro Ottawa, and excited for what comes next. We always end our interviews with a series of questions, so I'm going to dive into those, and here we go. What is a book that you've read that you think everyone should read?   [00:39:00] Lynn Pedesch: I was thinking about an author more than a book. My favorite author is Jonathan Franzen. If I would recommend one book, it'd probably be The Corrections, his most famous one, I believe. But they're like these chunky 800-900 page books where you kind of get immersed in these families and you feel like you know them at the end, and then they kind of, I think about them for like months afterward! They're really good reading, at least for the winter when it's cold and you spend a lot of time inside, so probably Jonathan Franzen's books, yeah.   [00:39:31] Trevor Freeman: Yeah, we're recording this just before the holidays and I think we'll be releasing the episode after, but winter is such a great time to curl up with a book and it's awesome to have a good recommendation of a nice thick book.   [00:39:41] Lynn Pedesch: It'll still be cold in January, especially in Ottawa!   [00:39:44] Trevor Freeman: Absolutely, absolutely. So, same question, but a movie or a show?   [00:39:49] Lynn Pedesch: Yeah, I'm not a big movie buff, but I recently rewatched What's Eating Gilbert Grape. I don't know if you've seen it, with Johnny Depp and Leonardo DiCaprio, and I always felt like Leonardo DiCaprio should have received an Oscar for that performance back when he was 14, but yeah, it's a beautiful movie.   [00:40:07] Trevor Freeman: Oh, nice! Yeah, that's a bit of a blast from the past, but you're right, that is a fantastic one. If someone offered you a free round-trip flight anywhere in the world, where would you go?   [00:40:17] Lynn Pedesch: French Polynesia, because it's so far, I've never been. I had a friend who went, and I'm sure it's very expensive to go there, so it'd be great for someone to pay! Yeah, no, that's a place I'll go one day, so yeah.   [00:40:31] Trevor Freeman: Fantastic. Who is someone that you admire?   [00:40:34] Lynn Pedesch: Yeah, that's a tricky one because I was thinking about people in my family, etc., but if I were to think about a public persona—and also a bit of a blast from the past—I'll think about Tina Turner. She's been my icon since I'm a kid. I was always listening with my dad to Tina Turner. And I think the word that I've probably most used in today's episode was like "resilience," and I always think about her as like possibly the most resilient woman in the world who reinvented herself and her career in her 40s and 50s, and is this complete power woman, you know, always done everything at her own terms. So I get so much energy from, not just her music, I've seen so many documentaries about her, and she's always been this kind of woman that fills you with energy and kind of drives you. So, I'm a big, big fan of Tina Turner.   [00:41:28] Trevor Freeman: That's fantastic. I have to say, that's never come up on the show before, and now I need to go and dive down a rabbit hole of learning about Tina Turner and listening to some music. That's a really good answer. Last question: What's something about the energy sector or, let me expand that to kind of the climate sector, that you're really excited about?   [00:41:47] Lynn Pedesch: Yeah, I'm going to take a very high level, but I think the thing I've been following the most is like that broad topic of the energy transition, and I think the recent changes or like kind of the way we talk about it has become a lot more interesting because it used to be this kind of fluffy, big kind of vision, and now we're in that phase where it just has to be very practically implemented. And we're trudging along with it, no matter the political climate, etc., there is kind of a move forward. And I actually really like the way that, I think when I first started learning about it or getting interested in it, it was always about renewables, and now it's around just sort of like needing to build a system that is both like low carbon and climate resilient, and there's something in that like way we talk about it now that I find really interesting. There's immense amounts of innovation in it, so, yeah, I'm just enjoying following what's happening on that and how we are moving that direction no matter what's happening right now, so that's exciting.   [00:42:48] Trevor Freeman: Yeah, good one. I know my listeners are probably rolling their eyes because I say this all the time, but it's a very exciting time to be in this industry, and very exciting to kind of see the evolution of energy and how we're interacting with it, how it's impacting our society. It really feels like we're at an inflection point, and very great to have you working on one aspect of that that people probably don't think about a lot, so thanks very much for what you're doing.   [00:43:13] Lynn Pedesch: Yeah, exactly! When you start working for Overstory, the one thing that happens is wherever you go, you see trees and power lines, and I have a very keen eye for, unfortunately, trees that are in poor health right now, so that's one of the professional things I've developed.   [00:43:28] Trevor Freeman: You carry like a spool of red ribbon around, you can tie on the at-risk trees, just so someone could come along! Lynn, thanks so much for coming on the show today, really appreciate it. It's been great chatting with you.   [00:43:38] Lynn Pedesch: Thank you so much. Take care.   [00:43:40] Trevor Freeman: Thanks for tuning in to another episode of the Think Energy podcast. Don't forget to subscribe wherever you listen to podcasts, and it would be great if you could leave us a review—it really helps to spread the word. As always, we would love to hear from you, whether it's feedback, comments, or an idea for a show or a guest. You can always reach us at thinkenergy@hydroottawa.com.  

Send us Fan MailGreat performers don't always make great leaders. That gap is costing nonprofits people they can't afford to lose.As nonprofits head into the busiest stretch of the year, Britt Stockert revisits a listener favorite with Chris Wong, founder of Leadership Potential and a licensed therapist who builds leadership programs inside nonprofits. They talk about accidental leadership: the quiet gap between being a great performer and being ready to lead a team, and why closing it matters most right before things get loud.Spotting potential is easy. Developing it is non-negotiable.What You'll LearnWhat accidental leadership is and why it happens even in the best-run nonprofitsWhy promotion skills and leadership skills aren't the same thingHow one avoided conversation can quietly cost you your best peopleWhat leaders can do right now to close the gapMore About Our GuestChris Wong is the founder of Leadership Potential, a licensed therapist who builds leadership development programs inside nonprofits from the ground up.Resources and LinksGet Chris's free Difficult Conversations Playbook for Leaders hereConnect with Chris on LinkedInAbout DonorboxDonorbox is a trusted online and on-location fundraising platform that helps nonprofits raise more. With easy-to-use donation forms, powerful donor management tools, and features designed to grow recurring giving, we have helped 100,000-plus organizations process over $4 billion in donations worldwide.donorbox.orgEnjoying the show? Subscribe for more practical fundraising strategies, leadership insights, and tools to help your nonprofit grow sustainably.The information provided in this series is for educational purposes only and does not constitute legal or financial advice. Please consult with a professional advisor for specific guidance.Support the show

In our latest installment of the 'Summer Rewind' series, the Dunkin' Dogs earn their first-ever win at Liberty, 76-71. Tech never trailed against the league's regular season champion Flames. It was their 10th conference win of the season, giving the 'Dogs double-digit CUSA wins in nine of their 13 seasons in the league.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This summer, join host David Mandell as he revisits and highlights episodes from Season 5 of the Wealth Planning for the Modern Physician podcast, in our 2026 Summer Rewind Series. "I genuinely believe there is a lot of information to gain from all of our episodes deliver, but for the summer, I've handpicked a few that offer intriguing ideas and a unique perspective for physicians in 2025," says David. "I hope you enjoy this Season encore series. Have a great summer!" Episode 5.7 | Originally Released: December 11, 2026 Listen in or watch as host David Mandell interviews dentist and coach Dr. Sue Keller. David begins with questions he asks all doctor guests to the program—about their initial interest in becoming a doctor, early career journey and more. Sue relates her personal experiences that lead her to dentistry and a shift from an interest in orthodontics to general dentistry. Sue explains her initial venture into private practice, purchasing an existing practice from a burned-out dentist, and her initial attempts to grow the practice. She and David discuss her challenges in growing the practice, the positives and negatives to developing a niche practice, to moving the physical location and the difficulties of keeping good staff. For the remainder of this first part of a two-part episode, Sue tells David about the challenges of keeping the practice afloat financially. In part two, they discuss Sue's decision to file bankruptcy for the practice after more than 20 years and her career transition thereafter. Key Insights: Sue shares her personal journey, mentioning her early interest in dentistry after having her first loose tooth at six years old. Sue had a positive childhood experience with her dentist, which fueled her desire to make dentistry comfortable for others. She discusses the transition in her career, starting her practice after a residency and eventually purchasing an existing practice from a burned-out dentist. In 1995, Sue took over a family practice and started building it up, noting challenges with old technology and financial constraints. She explains that her practice focused on treating anxious adult patients with oral sedation, creating a niche in an underserved area. She moved her practice in 2007, creating a comfortable environment in Northampton but encountered financial challenges in 2008 due to the financial crisis, including losing two-thirds of her patients after the move and facing difficulties hiring motivated staff, leading to constant turnover. Sue reflects on the decision to go fee-for-service and the financial pressures of taking insurance while striving to maintain high-quality care. Despite her advanced education, she struggled to implement complex treatments due to a lack of patients who could afford the care. Sue emphasizes the importance of utilizing specialists, even for bread-and-butter dentistry, to maintain quality and avoid complications. She outlines the ongoing financial struggles from 2008 to 2017, refinancing multiple times to stay afloat amid a tough market.   Learn more, including additional show notes, links, and detailed key takeaways, by visiting visiting the original episode page. Check out other episodes from our 6 seasons by visiting, physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

Send us Fan Mail"I don't have enough milk." It's the first place a new mom's brain goes when the baby fusses, wakes early, or pops off the breast. And when you add workouts back into the mix? The doubt gets louder.This week's Summer Rewind brings back one of my favorite conversations, with my longtime friend (and former neighbor!) Kelly Kendall, RN, IBCLC, aka @thebalancedboob. Kelly was an L&D nurse who thought she had breastfeeding figured out. Then she became a mom. Tongue ties, mastitis, postpartum anxiety, all of it. That story is exactly why she does what she does now.We get into:

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[32] Designing Learning That Learns: The Promise of Precision Medical Education This episode was first released on January 06, 2026   In this episode of KeyLIME+, Adam speaks with Dr. Sanjay Desai to explore the concept of precision education in medical training. They discuss how data and technology can personalize medical education, making it more efficient and tailored to individual learner needs. Sanjay emphasizes the importance of using data to assess learner performance and the need for a shift in power towards learners, allowing them greater agency in their education. The conversation also touches on the foundational principles of precision education, the challenges of implementing these innovations, and the balance between fostering innovation and ensuring trust in medical education.   Length of episode:  35:28  Contact    Contact us: keylime@royalcollege.ca      Follow: Dr. Adam Szulewski https://x.com/Adam_Szulewski     

Riley Fisher tossed a perfect final 4 innings in the Diamond 'Dogs 6-0 win over Ohio State to begin the Grind City Classic in Memphis, TN. Tech earned their first win over a Power 4 team since February 28th, 2023.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSummer time and the living...could be easier!Nonprofit teams are gearing up for the second half of the year, and this Summer Rewind brings back one of the show's most practical conversations for that exact moment.Jena Lynch talks with Chad Barger, founder of Productive Fundraising, about slow fundraising: an approach built on doing fewer things, doing them consistently, and letting data guide the decisions. It's a mindset shift for nonprofit teams who are busy but not seeing the growth to match.What You'll LearnWhy doing less, done well, beats doing moreHow simple data tracking reveals what's actually workingHow to build a fundraising rhythm that avoids burnoutWhy donor retention deserves more attention than new donor acquisitionMore About Our GuestChad Barger is the founder of Productive Fundraising, helping nonprofits simplify their strategy and focus on what drives real results, known for a practical, data-informed style built around sustainable, burnout-proof fundraising.Resources and LinksChad Barger on LinkedInProductive FundraisingProductive Fundraising's Resource LibraryAbout DonorboxDonorbox is a trusted online and on-location fundraising platform that helps nonprofits raise more. With easy-to-use donation forms, powerful donor management tools, and features designed to grow recurring giving, we have helped 100,000-plus organizations process over $4 billion in donations worldwide.donorbox.orgEnjoying the show? Subscribe for more practical fundraising strategies, leadership insights, and tools to help your nonprofit grow sustainably.The information provided in this series is for educational purposes only and does not constitute legal or financial advice. Please consult with a professional advisor for specific guidance.Support the show

The Bulldogs erased an 11-point halftime deficit, shutting out Coastal Carolina in the second half to claim a 23-14 victory to become the 2025 Radiance Technologies Independence Bowl champions (Tech's 9th-ever bowl championship).See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailIf you've ever accepted leaking as the toll you pay to keep running, this one's going to reframe it.Dr. Linda McLean (@mfm_lab) is one of the foremost researchers on the pelvic floor and urinary incontinence — a professor and Chair in Women's Health Research at the University of Ottawa. In this Summer Rewind, we cut through what the science actually shows about why running-induced urinary incontinence happens… and where popular advice for active moms gets it wrong.We get into pelvic floor morphology, how running may load and change those structures, and what the evidence says about interventions — including pessaries and other intravaginal support devices for runners who leak. Linda also unpacks the difference between evidence-based and evidence-informed, and how to break down the barriers keeping women from exercise.Leaking when you run is common… but common doesn't have to mean permanent.Always work with your own pelvic floor PT and maternity provider — this conversation is education, not individual care.Time Stamps1:00 Introduction3:58 bio feedback in pelvic PT6:46 morphology paper16:41 the roll strength plays21:15 connecting clinical findings to research32:10 intra-abdominal pressure34:50 different causes of urinary incontinence40:20 supportive devices44:29 elongation of the pelvic floorCONNECT WITH CARRIEIG: https://www.instagram.com/carriepagliano/Website: https://carriepagliano.comCONNECT WITH LINDAIG: https://www.instagram.com/mfm_lab/Website: www.mfmlab.caX: @mfmlabFacebook: @mfmlabuottawaThe Active Mom Podcast is A Real Moms' Guide to pregnancy, postpartum, perimenopause & beyond for active moms & the professionals who help them in their journey.  This show has been a long time in the making!   You can expect conversation with moms and professionals from all aspects of the industry.   If you're like me, you don't have a lot of free time (heck, you're probably listening at 1.5x speed), so theses interviews will be quick hits to get your the pertinent information FAST!  If you love what you hear, share the podcast with a friend and leave us a 5 ⭐⭐⭐⭐⭐ rating and review. It helps us become more visible in the search algorithm! (Helps us get seen by more moms that need to hear these stories!!!!)

I Heart Church // iheartchurch.online

I Heart Church // iheartchurch.online

The Dunkin' Dogs survived a 79-78 double-overtime thriller at Mo-State in our latest edition of the 'Summer Rewind' series. Tech showcased their grit and toughness again in correcting a one time 12-point deficit for their second road win of the season.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSummer is a good time to slow down and check the quiet gaps in your fundraising…before Giving Season prep picks up speed.This episode is a fan favorite, back for our July summer rewind series.Donors haven't stopped giving. They've just gotten more careful, and that means small friction points matter more than they used to. Jena Lynch and Britt Stockert talk through three quiet "leak points", a slow checkout, under-positioned recurring giving, and fading event momentum… and how to fix them without a bigger campaign or a strategy overhaul.What You'll LearnWhy small friction costs more when donors are being cautiousHow to make recurring giving visible and easy to chooseWhy in-person energy needs an instant way to giveA simple way to check your own donation experienceAbout the HostsJena Lynch, Head of Community Engagement at Donorbox, and Britt Stockert, Fundraiser Coach at Donorbox, co-host this episode. Together, they bring hands-on experience helping nonprofits strengthen donor relationships and build fundraising systems that hold up under pressure.Resources and LinksOmniGive™ donation formsRecurring Giving FeaturesDonorbox Live™ KioskAbout DonorboxDonorbox is a trusted online and on-location fundraising platform that helps nonprofits raise more. With easy-to-use donation forms, powerful donor management tools, and features designed to grow recurring giving, we have helped 100,000-plus organizations process over $4 billion in donations worldwide.Enjoying the show? Subscribe for more practical fundraising strategies, leadership insights, and tools to help your nonprofit grow sustainably.The information provided in this series is for educational purposes only and does not constitute legal or financial advice. Please consult with a professional advisor for specific guidance.Support the show

The Bulldogs got stellar pitching and Matt Houston provided a bases-clearing 3-run double early to earn a 5-4 win. Tech's 28th win overall and 15th in league play would force a Sunday rubber-game with the Patriots at Horner Ballpark.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSummer Rewind: we are re releasing one of our most unforgettable listener stories while we travel through Europe, and this one still stops people in their tracks.In 2005, guest Ben took out $175,000 in private student loans that never paid for a single class and handed all of it to his charismatic younger brother, who promised overnight millions from a chain of restaurants. The businesses were never real. Six months into his marriage with Beth, the couple was served with a lawsuit. That original amount had compounded into $310,000 of debt.Beth and Ben join us to share how they discovered the fraud, survived a wave of lawsuits and depositions, and made the decision to stay together and pay back every dollar. Over ten and a half years of side hustles, coupon clipping, and deliberate spending, they cleared the entire balance and rebuilt their finances and their relationship.Along the way we cover why loaning money to family needs documentation and hard questions, how compound interest turns a bad decision into a crisis, what happens legally when a spouse is named in a lawsuit, and the four questions everyone should ask before making any investment. We also talk about why couples need to have honest money conversations before marriage, not after.This is a story about betrayal, grit, and financial recovery, and a practical reminder that if it sounds too good to be true, it is.Subscribe to The Sugar Daddy Podcast for new episodes every Wednesday, and share this one with anyone who has ever been asked to invest in someone else's big idea.Get a $5 month for Point.Me our favorite way to find the best flightsGet 50% off of Monarch Money for one year with this linkSubscribe to The Sugar Daddy Podcast newsletterExplore The Sugar Daddy Podcast Stan Store — Downloadables, tools, and more to level up your money game together!Head over to our YouTube channel to catch this episode in full video form.You can also email us at: hello@thesugardaddypodcast.comConnect with us on Instagram We're most active over at @thesugardaddypodcastChat with BrandonWant to work together? Learn more about BrandonBook a free 30-min call to see if it's a fit.Show us some love, hit subscribe, leave a five star rating, and drop a quick review!Money, relationships, and the mindset to master both. Hosted by financial advisor Brandon and his wife Jessica, The Sugar Daddy Podcast breaks down how to build wealth, unpack old money beliefs, and have real conversations...

This summer, join host David Mandell as he revisits and highlights episodes from Season 5 of The Wealth Planning for the Modern Physician podcast, in our 2026 Summer Rewind Series. "I genuinely believe there is a lot of information to gain from all of our episodes deliver, but for the summer, I've handpicked a few that offer intriguing ideas and a unique perspective for physicians in 2025," says David. "I hope you enjoy this Season encore series. Have a great summer!" Episode 5.6 | Originally Released: November 27, 2024 Listen in or watch as host David Mandell speaks with practice consultant Jessica Jones. David begins asking about Jessica's career and how she ended up working with medical and dental practices. Jessica then shares with David the pain points doctors typically have when they contact her—how they want to see their practices—and lives—improved. J essica then speaks to David about the importance of finding the doctor's passions and how to align the practice with those passions, along with patient needs—potentially with a cash-based revenue element outside of insurance reimbursement. She then digs into the details around service offerings, equipment purchases, the importance of delegation and other key success factors her experiences has discovered are valuable—in cash-based practices or traditional ones. Finally, Jessica stresses the importance of brainstorming and getting out of the daily grind to have perspective on what is working and what could be improved. Learn more by visiting the original episode page, here. Learn more, including additional show notes, links, and detailed key takeaways, by visiting physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

[28] Cookies, Charisma & Bias: Exploring the Hidden Consequences and Impact of Teaching Evaluations This episode was first released on November 11, 2025 Description In this episode, Adam (and resident guest co-host Mario Corrado) speak with Dr. Lynfa Stroud about the complexities of teaching evaluations in medical education. They discuss some of the biases that influence evaluations, the unintended consequences that can arise, and the delicate power dynamics between learners and educators. Their conversation underscores the need for a more nuanced, supportive approach to assessing teaching quality - one that moves beyond student ratings to foster genuine growth and development in medical education.  Length of episode: 48:34  Resources to check out   How Teacher Evaluations Broke the University "We give them all A's, and they give us all fives." By Rose Horowitch  https://www.theatlantic.com/ideas/archive/2025/09/teacher-evaluations-grade-inflation/684185/    The Doctor Fox Lecture: A Paradigm of Educational Seduction Donald H. Naftulin, M.D., John E. Ware, Jr., and Frank A. Donnelly https://romanfrigg.org/wp-content/uploads/links/Dr_Fox_Lecture.pdf    Stroebe, W. (2020). Student Evaluations of Teaching Encourages Poor Teaching and Contributes to Grade Inflation: A Theoretical and Empirical Analysis. Basic and Applied Social Psychology, 42(4), 276–294. https://doi.org/10.1080/01973533.2020.1756817  https://www.tandfonline.com/doi/full/10.1080/01973533.2020.1756817      Contact us: keylime@royalcollege.ca     Follow: Dr. Adam Szulewski https://x.com/Adam_Szulewski      

Our 'Summer Rewind' series continues from the Show Me State. In the regular season finale, the Bulldogs secured their first winning season since 2019 with a 42-30 road victory at Missouri State. Tech gained 388 of their 475 total yards on the ground and scored 5 rushing touchdowns to overcome cold and rainy conditions in Springfield, Missouri.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Down 20 points and ice cold from beyond the arc, Louisiana Tech once again found itself staring at a familiar script against Middle Tennessee. This time, the ending belonged to the Bulldogs. Tech's only made 3-pointer with 4.7 seconds remaining capped a stunning comeback as the Bulldogs erased a massive deficit and stunned the Blue Raiders, 59-58, inside the TAC.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSummer Rewind: Brandon and Jessica are in Europe for the month. This one is worth revisiting.When you get married, your state automatically writes a financial agreement for you. Most couples have no idea. That reframe is what led Brandon and Jessica to pursue a postnuptial agreement after nearly nine years of marriage, not because they were planning a divorce, but because writing the rules while love is high is the smartest financial move a couple can make.They cover how assets, liabilities, and inheritances get divided, the counseling clause they built in before any separation decision, financial protection for stay-at-home spouses, and how the process kicked off new money conversations they had never had.No guest. Just an honest look at a decision they both wish they had made sooner.New episodes every Wednesday. Subscribe so you never miss one.Get a $5 month for Point.Me our favorite way to find the best flightsGet 50% off of Monarch Money for one year with this linkSubscribe to The Sugar Daddy Podcast newsletterExplore The Sugar Daddy Podcast Stan Store — Downloadables, tools, and more to level up your money game together!Head over to our YouTube channel to catch this episode in full video form.You can also email us at: hello@thesugardaddypodcast.comConnect with us on Instagram We're most active over at @thesugardaddypodcastChat with BrandonWant to work together? Learn more about BrandonBook a free 30-min call to see if it's a fit.Show us some love, hit subscribe, leave a five star rating, and drop a quick review!Money, relationships, and the mindset to master both. Hosted by financial advisor Brandon and his wife Jessica, The Sugar Daddy Podcast breaks down how to build wealth, unpack old money beliefs, and have real conversations...

Tech brought the fright to Sam Houston in our latest installment of the 'Summer Rewind' series. Celebrating a 100th Homecoming (and on Halloween), the Gridiron 'Dogs rolled up 646 yards of total offense in a 55-14 thrashing of the Bearkats. On the ground, they piled up 425 rushing yards and six touchdowns in collecting their 5th win of the season. It was the most points scored by the Bulldogs since Sept. 26th, 2020.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Down for most of the game, the Dunkin' Dogs flipped the script in the second half to force overtime and score a 70-68 victory over Delaware in their first-ever visit to Ruston. Freshman Jaylen Fenner tied his career-high with 15 points (all in the second half) while also tying his career-high for made three-pointers with three. He played a career-high 32 minutes.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailBrandon and Jessica are traveling through Europe this month, so they're bringing back one of their most impactful episodes as part of their Summer Rewind series.Bankruptcy attorney Adrienne Hines joins the show to reframe everything most people think they know about debt relief. With nearly 30 years of experience, she makes the case that bankruptcy is not a last resort, it is often the smartest first call you can make before touching your 401k, pulling from home equity, or signing up for a debt settlement program.Adrienne breaks down the difference between Chapter 7 and Chapter 13, who qualifies, what it costs, and what actually gets wiped away. She also explains why debt settlement companies are less protected and more dangerous than most people realize, how predatory lending replaced the consumer protections that once existed, and the simple 3-year test that tells you whether it is time to talk to a lawyer.Adrienne Hines is the Ladylike Lawyer. Find her at theladylikelawyer.com or on TikTok and Instagram at @theladylikelawyer. Not in Ohio? Her team will match you with a licensed bankruptcy attorney near you for a free consultation.New episodes drop every Wednesday. Subscribe so you never miss one.Get a $5 month for Point.Me our favorite way to find the best flightsGet 50% off of Monarch Money for one year with this linkSubscribe to The Sugar Daddy Podcast newsletterExplore The Sugar Daddy Podcast Stan Store — Downloadables, tools, and more to level up your money game together!Head over to our YouTube channel to catch this episode in full video form.You can also email us at: hello@thesugardaddypodcast.comConnect with us on Instagram We're most active over at @thesugardaddypodcastChat with BrandonWant to work together? Learn more about BrandonBook a free 30-min call to see if it's a fit.Show us some love, hit subscribe, leave a five star rating, and drop a quick review!Money, relationships, and the mindset to master both. Hosted by financial advisor Brandon and his wife Jessica, The Sugar Daddy Podcast breaks down how to build wealth, unpack old money beliefs, and have real conversations...

In this Season 6 executive summary episode of the Wealth Planning for the Modern Physician Podcast, host David Mandell reflects on the major themes, conversations, and lessons shared throughout the season. David explains the structure of the podcast's academic calendar format and previews the upcoming Summer Rewind series, which revisits standout episodes from prior seasons. He then walks listeners through each episode of the season, highlighting important insights and lessons from all 20 episodes. By summarizing each episode from the season, this episode serves as both a roadmap for listeners looking to revisit episodes they may have missed and a reminder of the practical strategies, red flags, and opportunities physicians should consider as they navigate modern medical careers. Insights Covered in Season 6: Private practice compensation models are evolving to better align with the priorities of younger physicians entering medicine.  Entrepreneurship in healthcare can create significant opportunities, but it also introduces operational, financial, and emotional risks. Asset protection planning requires ongoing maintenance and discipline rather than a one-time legal setup. Artificial intelligence is already improving workflow efficiency and reducing administrative burden in clinical practice. Physician burnout often requires both operational changes and personal reinvention strategies to address effectively. Healthcare mergers, acquisitions, and private equity activity continue to reshape the physician practice landscape. Financial literacy and business education can dramatically improve a physician's ability to make informed career decisions. Peer review processes and workplace conflicts can have major professional and financial consequences if handled improperly. Real estate investments can be beneficial for physicians, but leverage and market timing carry meaningful risks. Strong mentorship, networking, and community support remain essential throughout every stage of a physician's career. Learn more, including additional show notes, links, and detailed key takeaways, by visiting physicianswealthpodcast.com. Click here to get your FREE copy of our latest book, Wealth Strategies for Today's Physician!

Send us Fan Mail☀️ Summer Rewind! We're spending the month traveling Europe, so we're bringing back one of our most-listened-to episodes. The advice is fully evergreen and hits just as hard now as it did when it first dropped.If you've been meaning to get your finances in order but keep putting it off, this episode is for you.Jessica and Brandon walk you through 5 money moves that can change how you manage, save, and grow your money, no matter where you're starting from.In this episode:Why your financial goals need to be specific, measurable, and said out loudHow to review your budget without dreading it (and the mindset shift that makes it stick)Avalanche vs. snowball: the two debt payoff strategies and how to pick the right one for youWhy automating your savings removes the willpower problem entirelyThe real reason most people don't build wealth (hint: it's not knowledge)The one line that never gets old: it's not a lack of ability. It's a lack of action.New episodes every Wednesday. Subscribe so you never miss one.Get a $5 month for Point.Me our favorite way to find the best flightsGet 50% off of Monarch Money for one year with this linkSubscribe to The Sugar Daddy Podcast newsletterExplore The Sugar Daddy Podcast Stan Store — Downloadables, tools, and more to level up your money game together!Head over to our YouTube channel to catch this episode in full video form.You can also email us at: hello@thesugardaddypodcast.comConnect with us on Instagram We're most active over at @thesugardaddypodcastChat with BrandonWant to work together? Learn more about BrandonBook a free 30-min call to see if it's a fit.Show us some love, hit subscribe, leave a five star rating, and drop a quick review!Money, relationships, and the mindset to master both. Hosted by financial advisor Brandon and his wife Jessica, The Sugar Daddy Podcast breaks down how to build wealth, unpack old money beliefs, and have real conversations...