Podcast appearances and mentions of Michael Roberts

Eric Muehlbauer, CEO of the North American Spine Society (NASS), joins hosts Michael Roberts and Scott Zeitzer to discuss the current environment of startups in the spine space, industry success stories from recent year, and the upcoming NASS Innovation Summit. Hosted on Acast. See acast.com/privacy for more information.

Guest, Friend... Michael RobertsAhead of Spud's Game, the boys catch up with AFL great and media mainstay Michael Roberts for a heartfelt and hilariously raw walk down memory lane. From the chaos of plugger doorstops to the wild days of live crosses from pubs, Robbo dishes out the gold. But it's his moving tribute to his mate Danny Frawley—both the fearless leader and the loveable larrikin—that makes this one special. A reminder that behind every great character is a cause worth backing. Footy, friendship, and a few inappropriate stories—just how Spud would've liked it.Follow & support us elsewherePodcast : @swannyandfriendsDane: @danes84Samantha @samantharichesRalphy: Year Round CarnivalMichael Roberts: @m_roberts10SPUD'S GAME: https://www.dannyfrawleycentre.com.au/https://www.saints.com.au/news/1712925/spuds-game-is-back-on-the-big-stageSupport this show http://supporter.acast.com/hump-day-with-swanny-and-friends. Hosted on Acast. See acast.com/privacy for more information.

According to one La Croix International article, Michael Roberts remembers a gay colleague saying to him, “It's surprising that I can be openly gay at work, while you feel like you have to hide your Christian faith.”  Soon after, Michael started Faithforce, a Salesforce employee network of diverse religious backgrounds. Faithforce is part of a ... The post Launching Employee Affinity Groups appeared first on Unconventional Business Network.

NOTE: For Ad-Free Episodes, 100+hrs of Bonus Content and More - Visit our Patreon at https://www.patreon.com/thewheelweavespodcastFind us on our Instagram, Twitter, YouTube & Website, and join the conversation on Discord!In this episode Dani and Brett discuss Chapter 43 and Chapter 44 of Towers of Midnight!We would like to give a huge thank you to our patrons who renewed their pledges for another year! Thanks to Andrea Ramirez, Michael Langer, Big C, nyghtrunner_prime, Michael Roberts, Tim Gruber, and Darin Douglass!!We want to thank and welcome Jane (not Victoria), Richard Lindsley, Louise Murphy, and Chris Perry to The Wheel Weaves Patreon Team!! Thank you so much, we really appreciate your support!!We would like to acknowledge and thank our Executive Producers Brandy and Aaron Kirkwood, Sean McGuire, Janes, LightBlindedFool, Green Man, Margaret, Big C, Bennett Williamson, Hannah Green, Noralia, Geof Searles, Erik Reed, Greysin Ishara, Ashlee Bradley, Helena Jacobsen, Matthew Mendoza, Cyndi, and Daniel Moore!The Wheel Weaves is hosted and edited by Dani and Brett, produced by Dani and Brett with Passionsocks, Cody Fouts, Benjamin, Jamie Young, Magen, Jared Berg, Rikky Morrisette, Adam, Mozyme, Michelle Forbes, MKM, Antoine Benoit, Lawrence Bradley, Colby T, Gabby Young, Ricat, Zane Sciacca, Matrix, Matt Truss, The Albatross, Bratimus Prime, Sarah Creech, Saverio Bartolini, Sims and Chris G.; with music by Audionautix.Check out our partner - the Spoiler-Free Wiki - Spliki.com - Your main first time reader, Spoiler-Free WoT information source!Don't forget to leave us that 5 star review if you enjoy the show for a chance to win exclusive merchandise!Check out https://www.thewheelweavespodcast.com for everything The Wheel Weaves!Become a supporter of this podcast: https://www.spreaker.com/podcast/the-wheel-weaves-podcast-a-wheel-of-time-podcast--5482260/support.

Michael Roberts, headmaster at Hillsdale Academy in Hillsdale, Michigan, joins host Scot Bertram to discuss the development of physical education in ancient Greece, how to make fitness a life-long passion for students, and where physical education fits into a classical education. Learn more: https://k12.hillsdale.edu/See omnystudio.com/listener for privacy information.

“We are His people, the sheep of His pasture." - Psalm 103:3. But there is somewhere even better the Great Shepherd will lead us. Psalm 23:6 expresses confidence in God's unwavering love and provision. It declares that His goodness and mercy will follow the believer throughout life, culminating in eternal fellowship with Him in His house forever.  Michael Roberts brings it home in this message.    

Brain cancers are notoriously difficult to manage with current treatments offering limited effectiveness. But what if there was a way to change that? Michael Roberts from Adaptin Bio joins Owen Bryant to explore how a pioneering new treatment called BRiTE is driving hope for improved outcomes for patients.

Kevin Torf, founder of T2 Group and author of the book Getting the Job Done, joins hosts Michael Roberts and Justin Bantuelle to discuss navigating digital transformation in healthcare. With over 40 years of experience in the IT space, Kevin shares his insights on where the healthcare industry currently stands from a technical standpoint, where it will go in the future, and roadblocks that are preventing healthcare organizations from getting the most out of their data and tools. Hosted on Acast. See acast.com/privacy for more information.

Dean Browell, the Chief Behavioral Officer at Feedback, joins host Michael Roberts to discuss digital ethnography and how it can be beneficial for medtech companies. In this episode, you'll learn what digital ethnography is and how it works, and how the human connection is beneficial to educating and treating patients. Hosted on Acast. See acast.com/privacy for more information.

This week on The Rundown we are joined by Associate Head Coach of the Wisconsin Badgers, Michael Roberts! Coach Roberts has had an amazing career coaching at the NCAA Division 1 level, working at Washington during the Huskies three straight 40 win seasons from 2015-2017, and Oregon when in 2014 the Ducks went 56-9-1 advancing the the WCWS semifinals! Prior to his time at Wisconsin Coach Roberts also made a stop at Virginia serving as the Associate Head Coach and Pitching Coach and helped the Cavaliers hit the 30-win mark for the first time in school history since 2010. Coach Roberts has built successful and talented pitching staffs at each of his stops along the way, and is already making an impact down in Madison! He brings some amazing insight to this week's show and this is a great listen for all of us who want to coach better "in the circle." As always, thank you for listening to The Rundown!     

Welcome to the CavasShips Podcast with Christopher P. Cavas and Chris Servello…a weekly podcast looking at naval and maritime events and issues of the day – in the US, across the seas and around the world. On this episode…the maritime industrial base. Everybody talks about it, but what to do about it? Noted analysts Bryan Clark and Michael Roberts are focusing on the proposed Ships for America Act, a new initiative in Congress to martial resources to back what many see as a faulting industry. They're here to dive into some of the details of their latest report.

There is almost a cottage industry in appreciating the decades-long shortfall in America's maritime industrial base for shipbuilding and repair.After more than a decade of self-delusion in labeling the People's Republic of China (PRC) as merely a ‘Pacing Challenge', people are increasingly waking up to the fact that the PRC has overtaken the USA in the maritime arena—a domain in which we were globally unchallenged since the end of WWII.When considering both its vast commercial capacity and its development of the world's largest navy, it is a fair argument to make that the maritime challenge posed by the PRC now eclipses the threat posed by the Soviet Union at its peak.With time being short, are there solutions? There are, as outlined by our guests for today's Midrats, Michael Roberts & Bryan Clark and their report Shoring Up the Foundation: Affordable Approaches to Improve US and Allied Shipbuilding and Ship Repair from The Hudson Institute.Mike Roberts joined the Hudson Institute beginning in 2022. Before then Mike was the general counsel and a senior leader with Crowley Maritime, a top American shipping company, and president of the American Maritime Partnership. His focus is on commercial shipping and shipbuilding industries, and specifically, how fundamental changes in US maritime policies are needed to compete with China.Bryan Clark is a senior fellow and director of the Center for Defense Concepts and Technology at Hudson Institute. He studies naval operations, cyber and electromagnetic warfare, autonomous systems, military competitions, and wargaming. He is a retired enlisted and officer submariner and his last job in the Navy was as Commander's Action Group Director for the CNO.SummaryThis conversation delves into the pressing challenges facing the U.S. maritime industry, particularly the shipbuilding sector, in light of China's overwhelming shipbuilding capacity. The discussion highlights the need for affordable solutions, legislative support, and workforce development to revitalize the U.S. maritime industrial base. The guests, Mike Roberts and Bryan Clark, present their report from the Hudson Institute, which outlines actionable policies to enhance U.S. and allied shipping and ship repair capabilities. They emphasize the importance of a consistent demand signal from the government to stabilize the industry and attract skilled workers. The conversation delves into the challenges faced by the US Navy in maintaining maritime readiness and resilience in the face of potential conflicts, particularly with China. It discusses the need for a robust US-flagged shipping fleet, the implications of supply chain vulnerabilities, and the importance of leveraging allied shipbuilding capacities. The speakers emphasize the necessity of innovative shipbuilding strategies, improved maintenance practices, and a shift in mindset to prepare for future military operations effectively.TakeawaysThe U.S. maritime industrial base faces significant challenges.China's shipbuilding capacity far exceeds that of the U.S.Affordable solutions are necessary for immediate impact.Legislative support is crucial for revitalizing shipbuilding.Workforce development is essential for the shipbuilding industry.The Ships for America Act aims to increase U.S. flag fleet.Educational benefits can attract skilled workers to shipyards.A consistent demand signal is vital for industry stability.Shipbuilding is a low-margin business requiring government support.Investment in workforce training is critical for future success. The US needs a sufficient number of ships to support major combat operations overseas.China's control over global shipping assets poses a significant risk to US supply chains.The US Navy's reliance on foreign-flagged ships may not be viable in wartime.Innovative shipbuilding practices, including AI, can enhance Navy capabilities.Improving ship repair readiness is crucial for fleet capacity by 2027.The Navy must adapt its technical standards to facilitate faster shipbuilding.Allied shipbuilding capacities can be leveraged to enhance US naval strength.A consistent demand signal is necessary for ship repair yards to thrive.The Navy's public shipyards require significant infrastructure upgrades.A cultural shift within the Navy is essential to address current challenges.Sound Bites"China has 230 times the amount of shipbuilding capacity.""The Navy is far from its readiness goals.""We need to build capacity not just for peace but for war.""We can build uncrewed vessels in many different places.""We have to change the mindset we've been living with."Chapters00:00: Introduction to Maritime Challenges03:11: The Shipbuilding Capacity Gap06:04: Affordable Solutions for Shipbuilding15:05: Legislative Support: Ships for America Act17:29: Workforce Development in Shipbuilding29:24: Long-term Stability in Shipbuilding Industry34:10: Navigating Maritime Challenges and Supply Chain Resilience41:07: Innovations in Shipbuilding and Maintenance Strategies50:31: Leveraging Allied Shipbuilding and Repair Capacities57:59: Preparing for Future Conflicts and Fleet Readiness

Justin Bantuelle (COO) and Michael Roberts (CMO) of Health Connective discuss the company's role in supporting medtech firms by developing custom web applications for surgical planning, post-operative reviews, and other solutions. Justin and Michael share their personal journeys into medtech, highlighting the rewarding experience of contributing to life-saving technologies. The conversation touches on common challenges in medtech like security and user experience, emphasizing the importance of empathy, active listening, and adaptability in solving complex problems.    Guest links: https://www.healthconnectivetech.com/ Charity supported: Save the Children Interested in being a guest on the show or have feedback to share? Email us at theleadingdifference@velentium.com.  PRODUCTION CREDITS Host: Lindsey Dinneen Editing: Marketing Wise Producer: Velentium   EPISODE TRANSCRIPT Episode 047 - Justin Bantuelle & Michael Roberts [00:00:00] Lindsey Dinneen: Hi, I'm Lindsey and I'm talking with MedTech industry leaders on how they change lives for a better world. [00:00:09] Diane Bouis: The inventions and technologies are fascinating and so are the people who work with them. [00:00:15] Frank Jaskulke: There was a period of time where I realized, fundamentally, my job was to go hang out with really smart people that are saving lives and then do work that would help them save more lives. [00:00:28] Diane Bouis: I got into the business to save lives and it is incredibly motivating to work with people who are in that same business, saving or improving lives. [00:00:38] Duane Mancini: What better industry than where I get to wake up every day and just save people's lives. [00:00:42] Lindsey Dinneen: These are extraordinary people doing extraordinary work, and this is The Leading Difference.  Welcome back to another episode of The Leading Difference podcast. I'm your host, Lindsey, and I'm so excited to introduce you to my guests today. Justin Bantuelle and Michael Roberts. Justin is the Chief Operations Officer and Michael is the Chief Marketing Officer for Health Connective. Both have been working with the company for more than 10 years. Health Connective supports web application development for medtech companies, including online interfaces for pre surgical planning and post operative review, streamlined systems for customer orders, and training portals. They understand that every company's needs are unique, and your solution should be too. Well, welcome, Justin and Michael. I am so excited to have you guys today. Thanks for joining me. [00:01:35] Justin Bantuelle: Yeah. Thank you for having us. [00:01:36] Michael Roberts: Very excited to be here. Thank you. [00:01:38] Lindsey Dinneen: Awesome. Awesome. Well, I would love if you wouldn't mind starting off by just sharing a little bit about your background, maybe what led you to medtech and your heart for it. So I'll start with you, Justin. [00:01:51] Justin Bantuelle: Sure. It was, I kind of fell into it, I guess, initially, which I think on the tech side, probably a lot of people end up doing that. I had a computer science background. I got my bachelor's degree and I started at the company we're at now, Health Connective, out of college. And I've been there for 16, 17 years or something, but we were healthcare focused. And so they needed web development skills. I was a programmer, and that's how I started, but I've learned a tremendous amount since then. So I think coming from that technical angle, this is like where I fell into it. And I've moved up to the company. I manage a lot of people. I manage a lot of client interactions, help build systems that support medical devices, robots, things like that. So I've gathered a tremendous amount of information about this field as a result of that. And I've stuck with it cause it has been very rewarding. It's something that matters so much to so many people. You see the real Impact that it makes when you help get these products to market. And you see all the research studies that show how much this is transforming these different fields of care. And then just, I think we all have personal experiences with these healthcare systems and the challenges people face, the uncertainties about it. Just talking to like my parents or to friends who know less about the sector and just that I have any kind of insight into it helps assuage fears. And yeah, it just, it matters. And that's very rewarding. [00:03:18] Lindsey Dinneen: Yeah, absolutely. Thank you. [00:03:20] Michael Roberts: Yeah. I did not set out necessarily to be in medtech as well. Like Justin, long story short, when I got into marketing, I was working more in the hospitality industry, hotels, restaurants, all that kind of stuff. Decided I didn't want to do that anymore and thought, "Where can I get as far away from the hospitality industry as possible?" And so, the funny thing there was some non compete things that I had to deal with from my previous employer. And so I was literally looking for a place that had no overlap with the previous company that I'd worked with as a marketer. And so I found the company, found Health Connective, and jumped into it and try to bring in the same skill sets. I'll just do some of the SEO and I'll do some digital advertising and some of that kind of stuff. And some of that worked and some of it was just so drastically different, right? Like this is such a different experience for people. So my first thing that I worked on here at the company was working with orthopedic physicians, helping them out with their marketing. And it was very similar in small business marketing in a lot of ways, but again, drastically different in so many ways. And then one of the first things that I ended up working on within the first few years was working with Olympus on a campaign that they were doing about raising awareness around gastroenterology around going to get your colon checked and all of that fun kind of stuff.  I have a family member that has a Crohn's disease. And so this was something that very quickly became like, "Oh, this is a part of what we're all experiencing." I was able to go and ask people questions at Olympus. We went to Digestive Disease Week, which I had no idea was a thing, went there and I got to meet with the Crohn's and Colitis Foundation, just purely as a dad. Being there and just going like, "Can you just tell me how to help my daughter, how to help understand it?" So that was kind of the thing that really clicked, "This is where I need to be. This is what I need to be doing." Because so many of us are experiencing something like this somewhere in our family, whether it's us as patients, family members, whomever. So that was kind of the big click moment for me. [00:05:20] Lindsey Dinneen: Awesome. Wow. Yeah, that's powerful. Thank you for sharing that. So could you tell us a little bit about the company and maybe also a little bit about your goals as it continues to grow.? [00:05:33] Michael Roberts: Yeah, so, you know, we, as a company, we're out there to help MedTech companies with a couple of different kinds of things. So we end up helping the product and sort of R&D side of things. And that may be with robotic devices, if there's different types of data coming off of the device that they want to be able to show back to the different physicians, the different people that are involved with the procedure, that's the type of work that we do. And I'm super glossing that over and saying that very quickly, but there's a lot of different people that we share this information with that comes off the robot, everybody from physicians to engineers, to field service teams, all those different kinds of folks. And the goal there is just, "Hey, you're obtaining an immense amount of data out of every single procedure. What can you do with that data? How can we help you better utilize that information and improve outcomes and do all those kinds of things?" so that kind of product development and like I said, R&D side of things that's kind of where we fit. And then on the marketing side I, I kind of refer to it as like the, "Wouldn't it be cool if?" kind of group. It's like, "Wouldn't it be cool if this process that we had didn't suck? That would be awesome. How could we get somebody to help us with that?" So anything from ordering online kinds of processes where, because it's not as simple as just setting up an e commerce solution and just letting it run, you have to have different pricing for every sector and you have to have different contracts with everybody and all of those kinds of things. We can marry a lot of that messy data and make it a seamless experience for people so it doesn't suck. And so that's what we're hoping for. And then also like, "Wouldn't it be cool if these things could be that much better?" So a lot of efficiencies, a lot of things where again, these systems don't natively talk to one another. How can I get my CRM and all of these other unique data sources that I have to actually cooperate with one another. So, that's the kind of stuff that we set out to do. Again, I'm saying it super simply as opposed to how Justin would be able to define it. But, but those are the things that we're setting out to do for people is improve that customer experience and then get better data coming back from their procedures, that sort of thing. [00:07:41] Lindsey Dinneen: Yeah. Well, I would love to dive a little bit more into what does it look like when somebody starts working with you? How do you go from, you know, taking them through lead all the way to your day to day? What does that look like? [00:07:57] Michael Roberts: Yeah, I'll start the conversation. And then Justin, 'cause Justin takes over at a certain point and I just go, "Hey, let me know if you need anything." But a lot of it is, these kinds of things are very trust driven, right? So we have a lot of messaging out there. We have a podcast, we have advertising that we're doing, we're going to be at a few different trade shows through the rest of 2024, figuring out which ones to be at for next year, but a lot of it does come down to relationships. So somebody has introduced us. We've started having those kinds of conversations because any of these kinds of things that you're talking about there, there's kind of big, messy problems that aren't easy to fix. They aren't something that you just sign off on quickly that's a 5, 000 a month subscription and off you go. It's a bigger, more thought out process. So a lot of it is that sort of process of, "Hey, let's get to know one another. And then really digging into what problem are you trying to solve?" Everything that we do is a custom solution. So it's not, you don't have to use XYZ systems in order for us to work with you. We can be very flexible on that, but then, so we really get into that kind of problem definition stage, and then Justin, I'll let you kind of take it from there once we get into the problem itself. [00:09:05] Justin Bantuelle: Sure. Yeah. I mean, the initial touch point with it is really just listening and reassuring that, "I've heard your problem before something similar to it. Okay, you have these different technologies. These are the things that are unique about what you're trying to do in this space. And here's how I can craft a solution for you." So it's a lot of listening, helping them along the process of requirements gathering, usually this part of it, this front end data visualization after the fact for a lot of medical device, I find that's not their core competency. Their core competency is the device itself. They've built the device. The device works very well. It achieves something and it solves a problem in the medical space, but then there's all this stuff you have to do after the fact. And so it's like, "Great, this work, the procedure is amazing. And now there's all these things that we need to take action with," and that's where we kind of step in and provide that end of it. And we augment their teams that they already have. They have several very technical people. They've got brilliant engineers, they probably got brilliant developers involved in a lot of the software written around the device itself. And that's where we understand what their needs are, solutions are, their implementations where there's gaps. And then we help shape that for them and make sure it matches what they need. Yeah, like Michael said, never any one size fits all. It's always very customized. And that's where we shine is helping just lead them through that. They don't need to micromanage it. They're not just hiring a handful of developers and needing to tell them what to do. It's like, we take it kind of from, "You articulated the problem. We'll fully craft and implement a solution for you and then work alongside you for assessing how that works, how much it's solving your problems, what emergent needs are there, what maybe needs iteration." So we also view this as long term engagements typically, and we find that's what works well for our customers as well. Usually you're not just building something and then just abandoning it. Hopefully this goes for years and years as a successful product that you continue to iterate on, improve in the field, and then you necessarily need these other systems to work alongside it. So, I find that a lot of people have a bit of a fear that. We'll build something for you and then kick it over the wall, and then now your team has to manage it. Good luck. And I don't like operating that way. I enjoy continuing to see the success of something I build. I like standing by what we have built. And so that's kind of our outlook on it, I guess, and how we try to assist people a little bit on the side, I guess, maybe, but hopefully that made sense. [00:11:37] Lindsey Dinneen: Yes. No, that's incredible. Thank you so much. So, you know, I know you said that one of the strengths that your company brings is having this flexibility, being able to, like you said, be very customized with your approach to different companies and really help them because no problem is exactly the same. But I am curious, have you come across some themes that are a little bit common, especially in the medtech industry, that perhaps folks who are in the process of developing something could be aware of. What are some of the things that you commonly see that your company could help or they should be thinking through. [00:12:15] Justin Bantuelle: I think that security is a big one that tends to get overlooked until the project is finished. And then you're going through some final regulatory steps and the security team comes in and assesses it and goes, "You didn't think about any of this." And now you're re architecting like half of what you built. I think that's probably the biggest pain point I see. There's like a major gap in looking at that. And it's important everywhere, but a lot of fields aren't as highly regulated, so they get away with not sweating it as much until it bites them. Whereas you can't really do that here. You're not launching if you didn't put these considerations in place. And that's something that I think it's more unique to a handful of sectors where, and medtech is one of them, where you're really hurting yourself if that's not at the forefront of your mind. And so somebody who's not used to those considerations is probably not going to build you the right thing up front. And you're maybe not knowing how to articulate for this part of what's being built as a client that "No, you really need to think about this. We're going to be doing this as part of the process afterwards." Usually it's a completely separate team and it's all part of the documentation, filing it, getting it all in right at the end. And that's a terrible time to find out that you should've thought about something. So that's the biggest one that comes to mind up front. [00:13:37] Michael Roberts: Yeah, I can jump in as well. I think one of the big things that we don't see a lot of medtech companies do that, that we ended up helping, right? If they had this right, they probably wouldn't need our help as much with it. But one of the things is that I think that, because this is such a complicated industry, everybody kind of gets used to sort of a cruddy experience. You know, it's like, "Well, man, this system is really slow, but you know, it's okay. It's just an internal tool." Or, you know, "Just the physicians are using this one so it's not as bad. We can make it too complex, too messy to whatever." And everybody just seems to say like, "Ah, well, that's good enough." And I think that, one of the things I've been surprised by that people aren't considering more, is just how much we are all acclimating to an Amazon experience, to all of these kinds of things where we just expect it to work. And then as more and more of these AI systems catch on and we get used to being able to just talk to the systems and they just do what we want them to do, I think that that frustration is going to get more and more apparent even on systems that have nothing to do with AI, even if they never touch it. We're just getting used to faster and faster systems that intuitively work. And there are so, so many in medtech that don't across the board. And it's not just the stuff that we work with, but I think that there's a lot of pain points in that area. [00:15:00] Justin Bantuelle: That's a really good point as well. Yeah. Yeah. I think most people are familiar at this point with Amazon being able to measure exactly how much money they lose per a 10th of a second longer the page loads, right. And you're right, Michael, that this platform isn't the, like what we're building, these visualizations, these like post procedural dashboards, things like that. Those aren't the product. Those are supplementing it. Those are where you're getting augmented value after the product has done a very good job performing a procedure. And, so yeah, it's much more-- pretty much every system that physicians use in hospitals, like when you're on a computer in there, if you're a physician, if you're working the desk, whatever you're doing in there, those systems are often ancient, very slow, bad interfaces. And so I think Michael's right that a lot of companies sort of overlook that because they sort of assume this is the norm in this space. It's like, "No, we can do a lot better than that." And that's sort of baseline for us. And that's easy for me to forget that a lot of people are trying to cut corners on that front or not prioritizing that aspect of it. And you do see fall off in usage as a result of it. And yeah it's not something to be neglected. [00:16:19] Lindsey Dinneen: Yeah. So just in general user experience and being able to help companies navigate that. And you know, actually, that goes back to what you were saying earlier, Michael, the idea of "wouldn't it be cool if," you know, so "wouldn't it be cool if this worked really well"... [00:16:37] Michael Roberts: Right. [00:16:38] Justin Bantuelle: Right. [00:16:38] Lindsey Dinneen: ...instead of settling for, like you said, a cruddy experience. Maybe there's something else we could do. And I love that sort of "what if" idea, because it just opens you up to all these possibilities. [00:16:50] Michael Roberts: Absolutely. [00:16:50] Justin Bantuelle: There's some things that are sort of corollaries to that, where a lot of groups don't consider. A lot of developers, I find as part of the user experience, so much of that is there's accessibility considerations and how severe a look it is if you're borderline non compliant with ADA, when you're in the medical field, like that's embarrassing, right? And potentially outright illegal. [00:17:16] Lindsey Dinneen: Right. [00:17:17] Justin Bantuelle: And these things often also can get overlooked if you don't have somebody who's used to doing this in the space with the interfaces that they're building. [00:17:25] Lindsey Dinneen: Yeah. That makes a lot of sense. Yeah. So I'm curious as you've worked with all these different companies and you've had very cool experiences, are there any moments that stand out to you as really confirming to you? Yes, I'm in the right place in the right industry at the right time. [00:17:45] Michael Roberts: This is a big question. You know, it's interesting. We've been involved in a variety of different types of projects. And as we've talked about stuff going into COVID, you know, when we were prepping for that there was work that we were doing with physicians directly, the stuff that I was, that I started off doing at the company, we still do work with physicians directly. And then we do work with some of the companies that were involved at various stages of vaccine creation process and all that kind of stuff. And so as we were sitting home during COVID and everything's going down and everything's happening all around the world, it's like, "Well, hey, we're at least helping some of these groups navigate this process." We're at least helping out some of these institutions continue running, or helping them get their messaging out or helping them in one way or another. We actually had a podcast previous to the one that we have now, and it was called The Paradigm Shift of Healthcare. And we named it that before COVID hit. We had no idea that was coming. It was just like, hey, consumers are more of a part of the healthcare process. People are making decisions more on their own and then everything changed about healthcare. And so, definitely made for some interesting conversations about, "Yeah, we had no idea that this is what was coming." But I do think that going through that process, seeing the provider side of it, what they were dealing with, we dealt with a lot of orthopedic surgeons who had to close their practice during the worst of it, right, when everybody had no clue what was happening. So there was that process. It was a lot of getting communication out on their websites, getting information out that way as they were trying to figure out any kind of remote appointments that they might be able to do. Figuring out that for short term, helping them just get some of that information on their sites and everything. And then, yeah, like with working with the companies as they were going through all this mess and trying to figure out how to allocate resources and all that. So that was probably one of the big times I think of like, "Okay, again, we're in the right space, beyond just this is how it's impacting my family, but it's impacting all of our families right now." [00:19:43] Lindsey Dinneen: Yeah. Thank you for sharing. Yeah. How about you, Justin? [00:19:47] Justin Bantuelle: Yeah, I think I touched on this a little bit in the intro, but something that really stands out to me is working on supporting this robot. I didn't work on the robot itself, but obviously we're working on these systems that are ancillary and critical to the overall business operation of it. And it wasn't at market yet when we were coming in and assisting, and so seeing that process where it went through to market and seeing all of the studies that are continually coming out as they're performing this to submit to the FDA, and the actual tangible data showing the massive improvement in patient outcome and realizing that like, "Yeah, we're working on things that really are transformative for care." I had no idea how bad the space was in terms of outcomes before this robot was coming in and how much it was going to make things better for patients. Seeing the actual, tangible impact that it was going to have and that it has have since coming to market was really remarkable and something that it was like really proud to be involved in some capacity. And it just made me that much more excited about continuing to support these groups as they're doing this. [00:20:55] Lindsey Dinneen: Yeah. [00:20:56] Justin Bantuelle: It matters. And seeing the numbers on it really drive it home for me. [00:21:00] Lindsey Dinneen: Yeah. Yeah, absolutely. Both of you have said at various points, things like "it matters," like "matters" has been like a big theme so far. And I think there is so much to that. But I am curious to dial a little bit more into it because, obviously, work in general matters. There's ways that you can make an impact in any field, but what drives you when it's a particularly difficult problem, or frankly, or a difficult client where it's a little bit challenging to maybe see eye to eye. So what continues to motivate and drive you to this work that you know matters so much? [00:21:41] Justin Bantuelle: I think, for me, it's wild to see that some of this is actually life and death. I never worked on something where like, and even some of what I'd done within medical device was just quality of life, which matters a lot too. But then some of this is about like diagnostics where a delayed outcome, a delayed assessment of the diagnostic and a misdiagnosis due to challenges with diagnostics, these things could be the difference if somebody survives or not, or like how quickly it gets them into treatment. So that's a weightiness that I never dealt with before prior to this. And so that was different than any jobs I had before where, I mean, I cared about things in like retail, but it's still, hopefully nobody's dying as a result of anything if they don't get the right thing. So there was a weightiness to that, that I guess carries a commensurate responsibility on the same side, is there anything to talk about what keeps me going with it. For me, I don't find myself necessarily pushing through. I don't find client engagement to be that challenging. I find that everybody does care, but miscommunication can happen, but I try not to center myself in any of that. And I find that giving others the benefit of the doubt as well on that usually leads to a pretty comfortable resolution. I'm there to help solve their problem. I'm not there to win an argument or be right on the direction we take, and I've definitely recommended pathways before from a technical standpoint and they just disagree or overrule and I don't think that's necessarily the best pathway, but I defer to their judgment on what they want in this field. And we're still working towards an end goal. If I ever feel like what we're doing is not helpful, then I don't want to take their money and build something that's they're going to be unhappy with. So, yeah, that, that part of it, I don't really necessarily personally experienced or feel that much, but it does help me just for from a personal motivation standpoint to see the outcomes on this. I don't think you always necessarily get to see that information. Some of our prior retail jobs, I don't know how happy somebody is with something once they go home with it, like unless they're coming in to return it, right? But here, it's not so much about the customer satisfaction the same way. There's very measurable. Improvements to treatment, diagnostic outcome. These things are very measurable, so you can see the results of it. And it's nice to see that you're achieving something with this, that you can [00:24:16] Lindsey Dinneen: Yeah. [00:24:17] Justin Bantuelle: estimate and keep with you as opposed to just hoping that it it's impacting somebody positively. [00:24:22] Lindsey Dinneen: Oh, yeah. Excellent. Do you have anything to add to that, Michael? [00:24:26] Michael Roberts: Yeah, I'll just quickly touch on-- so I actually came from a ministry background, from a faith background. And so part of, I guess my heritage in that field is this idea of service and this idea of trying to better people's lives in some way. And the concept of, when I started working with the physicians directly and still kind of applies with medtech companies same way is like, in my mind, I frame it as helping the people who help people. You know, really helping equip them so that they don't have to worry about that. They can go do their job. They can focus on the serving that they're doing. I don't enjoy being the frontline person. So, when I was working for churches and stuff like that, I did some stuff where, you know, I did a mission trip and we built a house in Mexico and you see that like, "Man, this makes such an impact." But it's exhausting and it's hot and it's really tough to do. And, "Wow, what if I could help equip people that are going to be in those kinds of areas?" I could never work in a hospital. I could never be that person. I don't have that mental fortitude. I don't have that emotional fortitude to do that every day. But if we can help make that process easier, I can deal with a lot of stuff in the meantime to help that part, you know, and let them do their job well. So that's the framework that I kind of bring to it. [00:25:45] Lindsey Dinneen: Oh, I love that. Yeah. Thank you both. Well, pivoting the conversation just for fun, imagine that you were to be offered a million dollars to teach a masterclass on anything you want-- could be in your industry, doesn't have to be. What would you choose to teach and why? [00:26:03] Justin Bantuelle: Yeah, okay. It's kind of similar to what or it's related to what we just talked about those frustrations of the customer. I'd really want probably to teach something along the lines of empathy and listening, like active listening. I feel like so many of the problems that I see in the workspaces and personal exchanges boils down to a form of miscommunication and boils down largely to making bad assumptions about what the other person is thinking or feeling. And I find that you can alleviate a lot of that. And I think it's just being able to really put yourself in their shoes, understand their motivations, understand what their pain points are, what they're trying to achieve. I've seen people butt heads just so many times and often felt it was unnecessary. They're not, neither of them's wrong about anything, but I think they kind of lose sight of the common goal that they share. And I've often helped my own employees who maybe feel like they're getting antagonized and help them reframe like what's going on and why it's not about them. It's not a personal attack kind of thing. I've seen Issues with clients where two different departments are having an issue. And I have less control over helping ameliorate that, but maybe sometimes helping to talk through it and just bring an outside perspective on it. Just with friends, family that struggle, often I find that advice to try to take a step back and reframe what's going on and think about that. I think there's a lot of techniques that, and it makes your life better, right? You're not getting the outcome you want if you're in conflict with somebody else and that's something that I think is one of the most unnecessary friction points often in a work environment or in a personal environment that I really try to put at the forefront of my mind when I see something kind of going wrong or when I'm experiencing something where I feel like I'm not getting my point across or somebody is not really understanding. And there's probably something going on their side where I'm not communicating well myself and taking that step back and understanding what's happening. Just, I feel it makes a big difference in the outcomes for everybody. [00:28:25] Lindsey Dinneen: I, and I really appreciate that perspective. It goes back to something you said earlier too. It's kind of, you know, you're on your client's team. It is you all against the problem. It's not you against each other. And it should never be. So trying to always remember that, or even in a work situation where it's maybe colleague to colleague, again, you're on the same team. So how do we go us against the problem rather than us against each other? So I really appreciate that perspective. [00:28:54] Justin Bantuelle: Yeah, I think, yeah, I find that it's not that frequent that somebody's actually acting in bad faith. It's not that it doesn't happen, but I think it happens a lot less than we may be assumed. I do think that how much of our communications now are via text instead of verbally where you can hear tone a little bit more, I think it becomes a little easier to misread something and that can help contribute to the miscommunication that can then boil over into something. So yeah, it's a challenge probably we all face. I certainly like for all that I care about this and I'm talking about it, it's a challenge I face as well, but I think that awareness kind of helps to check yourself and reevaluate and maybe change how you're communicating that. [00:29:42] Lindsey Dinneen: Yeah. Amen to that. Michael, what would you teach? [00:29:46] Michael Roberts: I should have gone first. That was, that's like sets the bar so high. I think that the thing that I would try to teach is focusing on learning different types of skillsets that you've had before. I think that the next 10 years, we're just going to consistently see that need for everybody to keep reshaping how we interact with our work world with just the world in general. There's just so much that's changing and happening right now. And so I see this some for just basic literacy of the world that we're going to need this. But also, you know, I had to transition from one job to another. I started out in ministry and it was not for me and I needed to do something else. And it was hard. It was a good long while before I found the right fit and skilled up enough in that area for it to work. And so bought myself a book on HTML, code your first site in 30 days kind of thing. And did that and figured out how to put together a very crude website. It was just not great, but it worked. And but that kind of stuff, you know, what's possible today for people to keep on learning, to be able to shift from career path to career path. And then knowing how much you actually do bring with you because you very much feel out of your depth in so many ways. And I felt out of my depth at Health Connected for a good long while. But finding these experiences, these things that I'm bringing to the table, helped shape me and helped me deserve to be here in a way. And I think that everybody has that. It's just unpacking all that stuff, you know, and so getting the skills we need and then being able to figure out how like to actually like match up with where we're trying to go. [00:31:22] Lindsey Dinneen: Absolutely. Well, and you know, that's such a good point too, because sometimes I think it can feel, especially when you do transition jobs or even broader industries and you do feel a little bit out of your element. And I think the thing that you can also remember is, though, it is a strength to draw from all of these different sources of information and experiences that you've had over the years and maybe actually it is a really positive thing for you because you can go, " I don't know if MedTech has ever considered X, Y, and Z, but we did this in hospitality and let's just try it, you know?" And so I love that idea of bringing all the things together and allowing it to help shape you. [00:32:04] Michael Roberts: Yeah. Watching customer experiences be bad in healthcare just kills me. It just, 'cause you'd automatically lose in hospitality. You're automatically out if you don't have your customer experiences solid. That's the benchmark you have to start there. So [00:32:19] Lindsey Dinneen: Excellent. Yeah. Well, how do you wish to be remembered after you leave this world? [00:32:25] Justin Bantuelle: I, I think more than anything, I would just want to be thought of as somebody who was kind. It really matters a lot to me. I care about how people feel. I care about helping people. I'd like people to think that I always did right by them and helped where I could. So, that's at the forefront a lot of what I try to make decisions on in my personal life. So hopefully I live up to that. [00:32:56] Lindsey Dinneen: I love that. [00:32:57] Michael Roberts: I would add something similar to that, I guess, would be willing to invest in the people that I cared about, that I was willing to disrupt my day, ' cause I can get so focused on a thing. When I was a kid, I wanted to be an artist of some sort, and that you think about the artists that have kind of stood through time and it's like, "Oh, well that's the pinnacle of what it means to be a person is you're remembered through time for some major achievement." And it's like, well, yes, there are a handful of people that do that, but I think being able to be remembered that you valued other people as being more valuable, as being more worthy than whatever project you had at the moment, 'cause so many projects come and go. It's something that we all need to do, is something we all need to work on, but yeah, investing in those relationships [00:33:45] Lindsey Dinneen: Absolutely. And I think that's a good reminder. Both of your points are very good reminders, especially for entrepreneurs who, I'm sure that most of them feel that everything kind of weighs on them. And so it is easy to get deep into project mode and maybe forget sometimes that they are human. So being kind and investing and willing to disrupt your day. But yeah that's really powerful. Thank you both. And then final question. What is one thing that makes you smile every time you see or think about it? [00:34:16] Justin Bantuelle: Sure. I think for me it's, I like animals a lot. I have my pets that I'm very fond of. I spent a lot of time looking at animal photos and videos online as I'm sure everybody does. I'm particularly fond of ones where it's two completely different species of animal that seem to be best friends. That is what really helped shape a positive day for me in the morning, if I come across some of those and that is just the cutest thing in the world. [00:34:40] Lindsey Dinneen: Absolutely. How about you, Michael? [00:34:44] Michael Roberts: For me, it's just being out, out somewhere where I'm just surrounded by nature and just getting that moment. And it's not, it doesn't make me smile in the same way, I guess, Justin, but it does kind of bring that peace every time I'm there of, no matter what else is going on, it's like, "Okay." Grounded, in a way and it's like, "Okay I'm here. I'm ready. And I can go face the day." [00:35:04] Lindsey Dinneen: Yeah. Yeah. Excellent. Well, thank you so much, both of you, for sharing your stories, your insights, your experiences, and even some advice. I really appreciate you taking the time today. This has been such a great conversation. And we are so honored to be making a donation on your behalf as a thank you for your time today to Save the Children, which works to end the cycle of poverty by ensuring communities have the resources to provide children with a healthy, educational, and safe environment. So thank you so much for choosing that charity to support, and I just wish you both the most continued success as you work to change lives for a better world. [00:35:46] Justin Bantuelle: Thank you so much. [00:35:48] Lindsey Dinneen: All right. And thank you also to our listeners for tuning in. And if you're feeling as inspired as I am at the moment, I'd love it if you'd share this episode with a colleague or two and we'll catch you next time. [00:36:01] Ben Trombold: The Leading Difference is brought to you by Velentium. Velentium is a full-service CDMO with 100% in-house capability to design, develop, and manufacture medical devices from class two wearables to class three active implantable medical devices. Velentium specializes in active implantables, leads, programmers, and accessories across a wide range of indications, such as neuromodulation, deep brain stimulation, cardiac management, and diabetes management. Velentium's core competencies include electrical, firmware, and mechanical design, mobile apps, embedded cybersecurity, human factors and usability, automated test systems, systems engineering, and contract manufacturing. Velentium works with clients worldwide, from startups seeking funding to established Fortune 100 companies. Visit velentium.com to explore your next step in medical device development.

Alyssa Huffman, founder and CEO of Allumin8, and Ted Bird, founder and CEO of Bird Medical group, join host Michael Roberts to discuss the current state of medtech startups. You'll learn about current challenges, the importance of a commercial strategy, and predictions for the future of medtech startups. Hosted on Acast. See acast.com/privacy for more information.

Let us know what you think - text the show!On this week's show:Happy national Drinking Straw DayWe're number 4 - Vermont's homelessness ranks 4th in nationVT Truth and Reconciliation Committee needs 3rd memberFewer traffic deaths in 2024Increasing pharmacy closures mean long drives for Vermont residents, mirroring a ‘An anomaly?': Pay to state employees under investigation exceeds $2.6 million tMontpelier officials use treated wastewater to shrink Winooski River ice jam Year in Review: Brattleboro contends with a troubled downtown (1:02:27) Break music:  Jacob Green - “If the Spirit Moves You, Let It Shine”https://jacobgreen.bandcamp.com/track/if-the-spirit-moves-let-it-shine Westbury, VT's newest village, is one year oldSaint Mike's going free tuitionStowe native breaks world ski recordYoung VT ninja warriorsStewart's Shops completes purchase of Jolley stores Federal judge dimisses pro-Palestinian student group's lawsuit against UVM  Vermont's 2024 cannabis data released | GreenMountain Vermont Cannabis Departure of the Associated Press' last Vermont reporter marks the end of (1:38:52) Break music:  Michael Roberts - “2030”https://songsofmichaelroberts.bandcamp.com/album/rose-gold Scumbag mapVandalism closes University Mall; suspect arrestedStamford man accused of arson, insurance fraud Hannaford robbery in Saint Albans Barre dumpster fire Assault and Thanks for listening!Follow us on Facebook: facebook.com/VermontCatchup Follow Matt on twitter: @MatthewBorden4 Contact the show: 24theroadshow@gmail.comOutro Music by B-Complex

To close out the year, host Michael Roberts shares some of his favorite clips from 2024 episodes. Throughout the year, we had several guests who talked about connecting with customers and understanding their needs. In this roundup, you'll hear some the advice that resonated most with us. Hosted on Acast. See acast.com/privacy for more information.

Jennifer Michelle, a sustainability consultant and director of GreenTown Consulting, joins host Michael Roberts to discuss sustainable solutions in the medtech industry. Jennifer explains the solutions she provides, sustainability trends in the industry, and what medtech companies can do if they want to move to more sustainable solutions. Hosted on Acast. See acast.com/privacy for more information.

Host Gregg Garrett speaks with Michael Roberts to discuss how Michael made the AI Agent interviewed in Episode 164, how he tuned it to be a great podcast guest, and where AI might be going in the future. Michael also shares his “Top 3”: Mark Rorvig, a fellow NASA teammate who was with him in his early days of software development and AI exploration; Sydney Lamb, who helped him explore language and the patterns that emerge; and Ken Stanley, who is part of Generative AI's origin story. And you have to hear what he says about the power of habit. . SHOW HIGHLIGHTS During this episode: (0:00) Introduction (1:38) Meet Michael (8:33) What is AI? The “Top Three”: (14:11) Mark Rorvig: Fellow NASA teammate who was with Mike in his early days of software development and AI exploration (18:13) Sydney Lamb: Helped him explore language and the patterns that emerge (23:35) Ken Stanley: Part of Generative AI's origin story Other Points of Interest: (26:55) Creating the “Competing in the Connecting World” RAG model (37:49) The tuning process (44:21) Applying AI to long-form documents (47:33) The future of AI You Have to Hear This: (57:39) The power of habit . LINKS AND RESOURCES Michael Roberts: LinkedIn | Email Gregg Garrett: LinkedIn | Twitter | About CGS Advisors: Website | LinkedIn

Dr. Bipin Patel, founder and CEO of UK-based company electronRX, joins host Michael Roberts to talk about his company's mission for early disease detection in the cardiorespiratory space. You'll learn more about the electronRX technology, as well as broader issues around early disease detection and how companies in this sector can better empower patients. Hosted on Acast. See acast.com/privacy for more information.

Aaron Burnett, founder and CEO of Wheelhouse Digital Marketing Group, joins our host Michael Roberts to discuss how highly regulated industries like medtech can run successful digital campaigns. You'll learn about some of the latest strategies for tracking campaigns while maintaining HIPAA compliance, and how to target the right audience within those restrictions. Hosted on Acast. See acast.com/privacy for more information.

In this compelling episode of Hidden Heritage, host Paul LaRoche sits down with Michael Roberts, a distinguished men's fancy dancer and member of the Choctaw and Chickasaw Nations, to explore the rich history and evolution of the men's Native American fancy dance. Michael shares captivating stories of cultural exchange, historical traditions, and the significance of dance regalia. He recounts the origins of the dance from the Wild West shows to its deep-rooted connections in tribal history, offering a unique perspective on the cultural significance of dance within Native American communities. Listen as Michael reflects on his personal journey, the influence of mentors, and the importance of passing down these traditions to future generations. This episode is a heartfelt celebration of heritage, resilience, and the enduring spirit of Native American dance.

Translating “engineer-speak” into marketing messages can get tricky when marketers don't have the depth of knowledge around the technical aspects of the project. Lindsey Dinneen, a fractional CMO and former brand engagement manager at Velentium, joins our hosts Michael Roberts and Ashley Hohensee to discuss how marketers can work with engineers and expand their own knowledge to craft the right message for the right audience. Hosted on Acast. See acast.com/privacy for more information.

Boundary rider Michael Roberts interviewed all your favourite Lions in the rooms right after their premiership win! In this episode, he speaks to coach Chris Fagan, co-captain Lachie Neale, Dayne Zorko, Oscar McInerney, Darcy Fort and Callum Ah Chee. TOMORROW: Kai Lohman, Brandon Starchevich, Jarrod Berry, Josh Dunkley, Conor McKenna, Will Ashcroft and his family -------- Add the show to your favourites on LiSTNR: https://listnr.com/podcasts/footy-talk-australian-rules-podcast  Listen on Apple: https://podcasts.apple.com/au/podcast/footy-talk-daily-australian-rules-podcast/id1673652644  Listen on Spotify: https://open.spotify.com/show/1q5RUW2KTONUoP8KF3ZZHY?si=6798bf7f4a1540be See omnystudio.com/listener for privacy information.

Boundary rider Michael Roberts interviewed all your favourite Lions in the rooms right after their premiership win! In this episode, he speaks to Kai Lohmann, Brandon Starchevich, Jarrod Berry, Josh Dunkley, Conor McKenna, Will Ashcroft and his family -------- Add the show to your favourites on LiSTNR: https://listnr.com/podcasts/footy-talk-australian-rules-podcast  Listen on Apple: https://podcasts.apple.com/au/podcast/footy-talk-daily-australian-rules-podcast/id1673652644  Listen on Spotify: https://open.spotify.com/show/1q5RUW2KTONUoP8KF3ZZHY?si=6798bf7f4a1540be See omnystudio.com/listener for privacy information.

Arvind Narayanan and Sayash Kapoor are well regarded computer scientists at Princeton University and have just published a book with a provocative title, AI Snake Oil. Here I've interviewed Sayash and challenged him on this dismal title, for which he provides solid examples of predictive AI's failures. Then we get into the promise of generative AI.Full videos of all Ground Truths podcasts can be seen on YouTube here. The audios are also available on Apple and Spotify.Transcript with links to audio and external links to key publications Eric Topol (00:06):Hello, it's Eric Topol with Ground Truths, and I'm delighted to welcome the co-author of a new book AI SNAKE OIL and it's Sayash Kapoor who has written this book with Arvind Narayanan of Princeton. And so welcome, Sayash. It's wonderful to have you on Ground Truths.Sayash Kapoor (00:28):Thank you so much. It's a pleasure to be here.Eric Topol (00:31):Well, congratulations on this book. What's interesting is how much you've achieved at such a young age. Here you are named in TIME100 AI's inaugural edition as one of those eminent contributors to the field. And you're currently a PhD candidate at Princeton, is that right?Sayash Kapoor (00:54):That's correct, yes. I work at the Center for Information Technology Policy, which is a joint program between the computer science department and the school of public and international affairs.Eric Topol (01:05):So before you started working on your PhD in computer science, you already were doing this stuff, I guess, right?Sayash Kapoor (01:14):That's right. So before I started my PhD, I used to work at Facebook as a machine learning engineer.Eric Topol (01:20):Yeah, well you're taking it to a more formal level here. Before I get into the book itself, what was the background? I mean you did describe it in the book why you decided to write a book, especially one that was entitled AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference.Background to Writing the BookSayash Kapoor (01:44):Yeah, absolutely. So I think for the longest time both Arvind and I had been sort of looking at how AI works and how it doesn't work, what are cases where people are somewhat fooled by the potential for this technology and fail to apply it in meaningful ways in their life. As an engineer at Facebook, I had seen how easy it is to slip up or make mistakes when deploying machine learning and AI tools in the real world. And had also seen that, especially when it comes to research, it's really easy to make mistakes even unknowingly that inflate the accuracy of a machine learning model. So as an example, one of the first research projects I did when I started my PhD was to look at the field of political science in the subfield of civil war prediction. This is a field which tries to predict where the next civil war will happen and in order to better be prepared for civil conflict.(02:39):And what we found was that there were a number of papers that claimed almost perfect accuracy at predicting when a civil war will take place. At first this seemed sort of astounding. If AI can really help us predict when a civil war will start like years in advance sometimes, it could be game changing, but when we dug in, it turned out that every single one of these claims where people claim that AI was better than two decades old logistic regression models, every single one of these claims was not reproducible. And so, that sort of set the alarm bells ringing for the both of us and we sort of dug in a little bit deeper and we found that this is pervasive. So this was a pervasive issue across fields that were quickly adopting AI and machine learning. We found, I think over 300 papers and the last time I compiled this list, I think it was over 600 papers that suffer from data leakage. That is when you can sort of train on the sets that you're evaluating your models on. It's sort of like teaching to the test. And so, machine learning model seems like it does much better when you evaluate it on your data compared to how it would really work out in the real world.Eric Topol (03:48):Right. You say in the book, “the goal of this book is to identify AI snake oil - and to distinguish it from AI that can work well if used in the right ways.” Now I have to tell you, it's kind of a downer book if you're an AI enthusiast because there's not a whole lot of positive here. We'll get to that in a minute. But you break down the types of AI, which I'm going to challenge a bit into three discrete areas, the predictive AI, which you take a really harsh stance on, say it will never work. Then there's generative AI, obviously the large language models that took the world by storm, although they were incubating for several years when ChatGPT came along and then content moderation AI. So maybe you could tell us about your breakdown to these three different domains of AI.Three Types of AI: Predictive, Generative, Content ModerationSayash Kapoor (04:49):Absolutely. I think one of our main messages across the book is that when we are talking about AI, often what we are really interested in are deeper questions about society. And so, our breakdown of predictive, generative, and content moderation AI sort of reflects how these tools are being used in the real world today. So for predictive AI, one of the motivations for including this in the book as a separate category was that we found that it often has nothing to do with modern machine learning methods. In some cases it can be as simple as decades old linear regression tools or logistic regression tools. And yet these tools are sold under the package of AI. Advances that are being made in generative AI are sold as if they apply to predictive AI as well. Perhaps as a result, what we are seeing is across dozens of different domains, including insurance, healthcare, education, criminal justice, you name it, companies have been selling predictive AI with the promise that we can use it to replace human decision making.(05:51):And I think that last part is where a lot of our issues really come down to because these tools are being sold as far more than they're actually capable of. These tools are being sold as if they can enable better decision making for criminal justice. And at the same time, when people have tried to interrogate these tools, what we found is these tools essentially often work no better than random, especially when it comes to some consequential decisions such as job automation. So basically deciding who gets to be called on the next level of like a job interview or who is rejected, right as soon as they submit the CV. And so, these are very, very consequential decisions and we felt like there is a lot of snake oil in part because people don't distinguish between applications that have worked really well or where we have seen tremendous advances such as generative AI and applications where essentially we've stalled for a number of decades and these tools don't really work as claimed by the developers.Eric Topol (06:55):I mean the way you partition that, the snake oil, which is a tough metaphor, and you even show the ad from 1905 of snake oil in the book. You're really getting at predictive AI and how it is using old tools and selling itself as some kind of breakthrough. Before I challenge that, are we going to be able to predict things? By the way, using generative AI, not as you described, but I would like to go through a few examples of how bad this has been and since a lot of our listeners and readers are in the medical world or biomedical world, I'll try to get to those. So one of the first ones you mentioned, which I completely agree, is how prediction of Covid from the chest x-ray and there were thousands of these studies that came throughout the pandemic. Maybe you could comment about that one.Some Flagrant ExamplesSayash Kapoor (08:04):Absolutely. Yeah, so this is one of my favorite examples as well. So essentially Michael Roberts and his team at the University of Cambridge a year or so after the pandemic looked back at what had happened. I think at the time there were around 500 studies that they included in the sample. And they looked back to see how many of these would be useful in a clinical setting beyond just the scope of writing a research paper. And they started out by using a simple checklist to see, okay, are these tools well validated? Does the training and the testing data, is it separate? And so on. So they ran through the simple checklist and that excluded all but 60 of these studies from consideration. So apart from 60 studies, none of these other studies even passed a very, very basic criteria for being included in the analysis. Now for these 60, it turns out that if you take a guess about how many were useful, I'm pretty confident most cases would be wrong.(09:03):There were exactly zero studies that were useful in a clinically relevant setting. And the reasons for this, I mean in some cases the reasons were as bizarre as training a machine learning model to predict Covid where all of the positive samples of people who had Covid were from adults. But all of the negative samples of people who didn't have Covid were from children. And so, essentially claiming that the resulting classifier can predict who has Covid is bizarre because all the classifier is doing is looking at the checks history and basically predicting which x-ray belongs to a child versus an adult. And so, this is the sort of error in some cases we saw duplicates in the training and test set. So you have the same person that is being used for training the model and that it is also used for evaluating the model. So simply memorizing a given sample of x-rays would be enough to achieve a very high performance. And so, for issues like these, I think all 60 of these studies prove to be not useful in a clinically relevant setting. And I think this is sort of the type of pattern that we've seen over and over again.Eric Topol (10:14):Yeah, and I agree with you on that point. I mean that was really a flagrant example and that would fulfill your title of your book, which as I said is a very tough title. But on page 29, and we'll have this in the post. You have a figure, the landscape of AI snake oil, hype, and harm. And the problem is there is nothing good in this landscape. So on the y-axis you have works, hype, snake oil going up on the y-axis. And on the x-axis, you have benign and harmful. So the only thing you have that works and that's benign is autocomplete. I wouldn't say that works. And then you have works facial recognition for surveillance is harmful. This is a pretty sobering view of AI. Obviously, there's many things that are working that aren't on this landscape. So I just would like to challenge, are you a bit skewed here and only fixating on bad things? Because this diagram is really rough. I mean, there's so much progress in AI and you have in here you mentioned the predicting civil wars, and obviously we have these cheating detection, criminal risk prediction. I mean a lot of problems, video interviews that are deep fakes, but you don't present any good things.Optimism on Generative AISayash Kapoor (11:51):So to be clear, I think both Arvind and are somewhat paradoxically optimistic about the future of generative AI. And so, the decision to focus on snake oil was a very intentional one from our end. So in particular, I think at various places in the book we outline why we're optimistic, what types of applications we think we're optimistic about as well. And the reason we don't focus on them is that it basically comes down to the fact that no one wants to read a book that has 300 pages about the virtues of spellcheck or AI for code generation or something like that. But I think I completely agree and acknowledge that there are lots of positive applications that didn't make the cut for the book as well. That was because we wanted people to come to this from a place of skepticism so that they're not fooled by the hype.(12:43):Because essentially we see even these positive uses of AI being lost out if people have unrealistic expectations from what an AI tool should do. And so, pointing out snake oil is almost a prerequisite for being able to use AI productively in your work environment. I can give a couple of examples of where or how we've sort of manifested this optimism. One is AI for coding. I think writing code is an application that I do, at least I use AI a lot. I think almost half of the code I write these days is generated, at least the first draft is generated using AI. And yet if I did not know how to program, it would be a completely different question, right? Because for me pointing out that, oh, this syntax looks incorrect or this is not handling the data in the correct way is as simple as looking at a piece of code because I've done this a few times. But if I weren't an expert on programming, it would be completely disastrous because even if the error rate is like 5%, I would have dozens of errors in my code if I'm using AI to generate it.(13:51):Another example of how we've been using it in our daily lives is Arvind has two little kids and he's built a number of applications for his kids using AI. So I think he's a big proponent of incorporating AI into children's lives as a force for good rather than having a completely hands-off approach. And I think both of these are just two examples, but I would say a large amount of our work these days occurs with the assistance of AI. So we are very much optimistic. And at the same time, I think one of the biggest hindrances to actually adopting AI in the real world is not understanding its limitations.Eric Topol (14:31):Right. Yeah, you say in the book quote, “the two of us are enthusiastic users of generative AI, both in our work and our personal lives.” It just doesn't come through as far as the examples. But before I leave the troubles of predictive AI, I liked to get into a few more examples because that's where your book shines in convincing that we got some trouble here and we need to be completely aware. So one of the most famous, well, there's a couple we're going to get into, but one I'd like to review with you, it's in the book, is the prediction of sepsis in the Epic model. So as you know very well, Epic is the most used IT and health systems electronic health records, and they launched never having published an algorithm that would tell when the patient was hospitalized if they actually had sepsis or risk of sepsis. Maybe you could take us through that, what you do in the book, and it truly was a fiasco.The Sepsis DebacleSayash Kapoor (15:43):Absolutely. So I think back in 2016/2017, Epic came up with a system that would help healthcare providers predict which patients are most at risk of sepsis. And I think, again, this is a very important problem. I think sepsis is one of the leading causes of death worldwide and even in the US. And so, if we could fix that, I think it would be a game changer. The problem was that there were no external validations of this algorithm for the next four years. So for four years, between 2017 to 2021, the algorithm wasn't used by hundreds of hospitals in the US. And in 2021, a team from University of Michigan did this study in their own hospital to see what the efficacy of the sepsis prediction model is. They found out that Epic had claimed an AUC of between 0.76 and 0.83, and the actual AUC was closer to 0.6, and AUC of 0.5 is making guesses at random.(16:42):So this was much, much worse than the company's claims. And I think even after that, it still took a year for sepsis to roll back this algorithm. So at first, Epic's claims were that this model works well and that's why hospitals are adopting it. But then it turned out that Epic was actually incentivizing hospitals to adopt sepsis prediction models. I think they were giving credits of hundreds of thousands of dollars in some cases. If a hospital satisfied a certain set of conditions, one of these conditions was using a sepsis prediction model. And so, we couldn't really take their claims at face value. And finally in October 2022, Epic essentially rolled back this algorithm. So they went from this one size fits all sepsis prediction model to a model that each hospital has to train on its own data, an approach which I think is more likely to work because each hospital's data is different. But it's also more time consuming and expensive for the hospitals because all of a sudden you now need your own data analysts to be able to roll out this model to be able to monitor it.(17:47):I think this study also highlights many of the more general issues with predictive AI. These tools are often sold as if they're replacements for an existing system, but then when things go bad, essentially they're replaced with tools that do far less. And companies often go back to the fine print saying that, oh, we should always deploy it with the human in the loop, or oh, it needs to have these extra protections that are not our responsibility, by the way. And I think that gap between what developers claim and how the tool actually works is what is most problematic.Eric Topol (18:21):Yeah, no, I mean it's an egregious example, and again, it fulfills like what we discussed with statistics, but even worse because it was marketed and it was incentivized financially and there's no doubt that some patients were completely miscategorized and potentially hurt. The other one, that's a classic example that went south is the Optum UnitedHealth algorithm. Maybe you could take us through that one as well, because that is yet another just horrible case of how people were discriminated against.The Infamous Optum AlgorithmSayash Kapoor (18:59):Absolutely. So Optum, another health tech company created an algorithm to prioritize high risk patients for preemptive care. So I think it was around when Obamacare was being introduced that insurance networks started looking into how they could reduce costs. And one of the main ways they identified to reduce costs is basically preemptively caring for patients who are extremely high risk. So in this case, they decided to keep 3% of the patients in the high risk category and they built a classifier to decide who's the highest risk, because potentially once you have these patients, you can proactively treat them. There might be fewer emergency room visits, there might be fewer hospitalizations and so on. So that's all fine and good. But what happened when they implemented the algorithm was that every machine learning model needs like the target variable, what is being predicted at the end of the day. What they decided to predict was how much patient would pay, how much would they charge, what cost the hospital would incur if they admitted this patient.(20:07):And they essentially use that to predict who should be prioritized for healthcare. Now unsurprisingly, it turned out that white patients often pay a lot more or are able to pay a lot more when it comes to hospital visits. Maybe it's because of better insurance or better conditions at work that allow them to take leave and so on. But whatever the mechanism is, what ended up happening with this algorithm was I think black patients with the same level of healthcare prognosis were half as likely or about much less likely compared to white ones of getting enrolled in this high risk program. So they were much less likely to get this proactive care. And this was a fantastic study by Obermeyer, et al. It was published in Science in 2019. Now, what I think is the most disappointing part of this is that Optum did not stop using this algorithm after this study was released. And that was because in some sense the algorithm was working precisely as expected. It was an algorithm that was meant to lower healthcare costs. It wasn't an algorithm that was meant to provide better care for patients who need it most. And so, even after this study was rolled out, I think Optum continued using this algorithm as is. And I think as far as I know, even today this is or some version of this algorithm is still in use across the network of hospitals that Optum serves.Eric Topol (21:31):No, it's horrible the fact that it was exposed by Ziad Obermeyer's paper in Science and that nothing has been done to change it, it's extraordinary. I mean, it's just hard to imagine. Now you do summarize the five reasons predictive AI fails in a nice table, we'll put that up on the post as well. And I think you've kind of reviewed that as these case examples. So now I get to challenge you about predictive AI because I don't know that such a fine line between that and generative AI are large language models. So as you know, the group at DeepMind and now others have done weather forecasting with multimodal large language models and have come up with some of the most accurate weather forecasting we've ever seen. And I've written a piece in Science about medical forecasting. Again, taking all the layers of a person's data and trying to predict if they're high risk for a particular condition, including not just their electronic record, but their genomics, proteomics, their scans and labs and on and on and on exposures, environmental.Multimodal A.I. in Medicine(22:44):So I want to get your sense about that because this is now a coalescence of where you took down predictive AI for good reasons, and then now these much more sophisticated models that are integrating not just large data sets, but truly multimodal. Now, some people think multimodal means only text, audio, speech and video images, but here we're talking about multimodal layers of data as for the weather forecasting model or earthquake prediction or other things. So let's get your views on that because they weren't really presented in the book. I think they're a positive step, but I want to see what you think.Sayash Kapoor (23:37):No, absolutely. I think maybe the two questions are sort of slightly separate in my view. So for things like weather forecasting, I think weather forecasting is a problem that's extremely tenable for generative AI or for making predictions about the future. And I think one of the key differences there is that we don't have the problem of feedback loops with humans. We are not making predictions about individual human beings. We are rather making predictions about what happens with geological outcomes. We have good differential equations that we've used to predict them in the past, and those are already pretty good. But I do think deep learning has taken us one step further. So in that sense, I think that's an extremely good example of what doesn't really fit within the context of the chapter because we are thinking about decisions thinking about individual human beings. And you rightly point out that that's not really covered within the chapter.(24:36):For the second part about incorporating multimodal data, genomics data, everything about an individual, I think that approach is promising. What I will say though is that so far we haven't seen it used for making individual decisions and especially consequential decisions about human beings because oftentimes what ends up happening is we can make very good predictions. That's not in question at all. But even with these good predictions about what will happen to a person, sometimes intervening on the decision is hard because oftentimes we treat prediction as a problem of correlations, but making decisions is a problem of causal estimation. And that's where those two sort of approaches disentangle a little bit. So one of my examples, favorite examples of this is this model that was used to predict who should be released before screening when someone comes in with symptoms of pneumonia. So let's say a patient comes in with symptoms of pneumonia, should you release them on the day of?(25:39):Should you keep them in the hospital or should you transfer them to the ICU? And these ML researchers were basically trying to solve this problem. They found out that the neural network model they developed, this was two decades ago, by the way. The neural network model they developed was extremely accurate at predicting who would basically have a high risk of having complications once they get pneumonia. But it turned out that the model was saying essentially that anyone who comes in who has asthma and who comes in with symptoms of pneumonia is the lowest risk patient. Now, why was this? This was because when in the past training data, when some such patients would come into the hospital, these patients would be transferred directly to the ICU because the healthcare professionals realized that could be a serious condition. And so, it turned out that actually patients who had asthma who came in with symptoms of pneumonia were actually the lowest risk amongst the population because they were taken such good care of.(26:38):But now if you use this prediction that a patient comes in with symptoms of pneumonia and they have asthma, and so they're low risk, if you use this to make a decision to send them back home, that could be catastrophic. And I think that's the danger with using predictive models to make decisions about people. Now, again, I think the scope and consequences of decisions also vary. So you could think of using this to surface interesting patterns in the data, especially at a slightly larger statistical level to see how certain subpopulations behave or how certain groups of people are likely to develop symptoms or whatever. But I think when as soon as it comes to making decisions about people, the paradigm of problem solving changes because as long as we are using correlational models, I think it's very hard to say what will happen if we change the conditions, what will happen if the decision making mechanism is very different from one where the data was collected.Eric Topol (27:37):Right. No, I mean where we agree on this is that at the individual level, using multimodal AI with all these layers of data that have now recently become available or should be available, that has to be compared ideally in a randomized trial with standard of care today, which doesn't use any of that. And to see whether or not that decision's made, does it change the natural history and is it an advantage, that's yet to be done. And I agree, it's a very promising pathway for the future. Now, I think you have done what is a very comprehensive sweep on the predictive AI failures. You've mentioned here in our discussion, your enthusiasm and in the book about generative AI positive features and hope and excitement perhaps even. You didn't really yet, we haven't discussed much on the content moderation AI that you have discreetly categorized. Maybe you could just give us the skinny on your sense of that.Content Moderation AISayash Kapoor (28:46):Absolutely. So content moderation AI is AI that's used to sort of clean up social media feeds. Social media platforms have a number of policies about what's allowed and not allowed on the platforms. Simple things such as spam are obviously not allowed because let's say people start spamming the platform, it becomes useless for everyone. But then there are other things like hate speech or nudity or pornography and things like that, which are also disallowed on most if not all social media platforms today. And I think a lot of the ways in which these policies are enforced today is using AI. So you might have an AI model that runs every single time you upload a photo to Facebook, for instance. And not just one perhaps hundreds of such models to detect if it has nudity or hate speech or any of these other things that might violate the platform's terms of service.(29:40):So content moderation AI is AI that's used to make these decisions. And very often in the last few years we've seen that when something gets taken down, for instance, Facebook deletes a post, people often blame the AI for having a poor understanding. Let's say of satire or not understanding what's in the image to basically say that their post was taken down because of bad AI. Now, there have been many claims that content moderation AI will solve social media's problems. In particular, we've heard claims from Mark Zuckerberg who in a senate testimony I think back in 2018, said that AI is going to solve most if not all of their content moderation problems. So our take on content moderation AI is basically this. AI is very, very useful for solving the simple parts of content moderation. What is a simple part? So basically the simple parts of content moderation are, let's say you have a large training data of the same type of policy violation on a platform like Facebook.(30:44):If you have large data sets, and if these data sets have a clear line in the sand, for instance, with nudity or pornography, it's very easy to create classifiers that will automate this. On the other hand, the hard part of content moderation is not actually just creating these AI models. The hard part is drawing the line. So when it comes to what is allowed and not allowed on platforms, these platforms are essentially making decisions about speech. And that is a topic that's extremely fraught. It's fraught in the US, it's also fraught globally. And essentially these platforms are trying to solve this really hard problem at scale. So they're trying to come up with rules that apply to every single user of the platform, like over 3 billion users in the case of Facebook. And this inevitably has these trade-offs about what speech is allowed versus disallowed that are hard to say one way or the other.(31:42):They're not black and white. And what we think is that AI has no place in this hard part of content moderation, which is essentially human. It's essentially about adjudicating between competing interests. And so, when people claim that AI will solve these many problems of content moderation, I think what they're often missing is that there's this extremely large number of things you need to do to get content moderation right. AI solves one of these dozen or so things, which is detecting and taking down content automatically, but all of the rest of it involves essentially human decisions. And so, this is sort of the brief gist of it. There are also other problems. For example, AI doesn't really work so well for low resource languages. It doesn't really work so well when it comes to nuances and so on that we discussed in the book. But we think some of these challenges are solvable in the medium to long term. But these questions around competing interests of power, I think are beyond the domain of AI even in the medium to long term.Age 28! and Career AdviceEric Topol (32:50):No, I think you nailed that. I think this is an area that you've really aptly characterized and shown the shortcomings of AI and how the human factor is so critically important. So what's extraordinary here is you're just 28 and you are rocking it here with publications all over the place on reproducibility, transparency, evaluating generative AI, AI safety. You have a website on AI snake oil that you're collecting more things, writing more things, and of course you have the experience of having worked in the IT world with Facebook and also I guess also Columbia. So you're kind of off to the races here as one of the really young leaders in the field. And I am struck by that, and maybe you could comment about the inspiration you might provide to other young people. You're the youngest person I've interviewed for Ground Truths, by the way, by a pretty substantial margin, I would say. And this is a field where it attracts so many young people. So maybe you could just talk a bit about your career path and your advice for people. They may be the kids of some of our listeners, but they also may be some of the people listening as well.Sayash Kapoor (34:16):Absolutely. First, thank you so much for the kind words. I think a lot of this work is with collaborators without whom of course, I would never be able to do this. I think Arvind is a great co-author and supporter. I think in terms of my career parts, it was sort of like a zigzag, I would say. It wasn't clear to me when I was an undergrad if I wanted to do grad school or go into the industry, and I sort of on a whim went to work at Facebook, and it was because I'd been working on machine learning for a little bit of time, and I just thought, it's worth seeing what the other side has to offer beyond academia. And I think that experience was very, very helpful. One of the things, I talked to a lot of undergrads here at Princeton, and one of the things I've seen people be very concerned about is, what is the grad school they're going to get into right after undergrad?(35:04):And I think it's not really a question you need to answer now. I mean, in some cases I would say it's even very helpful to have a few years of industry experience before getting into grad school. That has definitely, at least that has been my experience. Beyond that, I think working in a field like AI, I think it's very easy to be caught up with all of the new things that are happening each day. So I'm not sure if you know, but AI has I think over 500-1,000 new archive papers every single day. And with this rush, I think there's this expectation that you might put on yourself on being successful requires a certain number of publications or a certain threshold of things. And I think more often than not, that is counterproductive. So it has been very helpful for me, for example, to have collaborators who are thinking long term, so this book, for instance, is not something that would be very valued within the CS community, I would say. I think the CS community values peer-reviewed papers a lot more than they do books, and yet we chose to write it because I think the staying power of a book or the longevity of a book is much more than any single paper could do. So the other concrete thing I found very helpful is optimizing for a different metric compared to what the rest of the community seems to be doing, especially when it comes to fast moving fields like AI.Eric Topol (36:29):Well, that last piece of advice is important because I think too often people, whether it's computer scientists, life scientists, whoever, they don't realize that their audience is much broader. And that reaching the public with things like a book or op-eds or essays, varied ways that are intended for public consumption, not for, in this case, computer scientists. So that's why I think the book is a nice contribution. I don't like the title because it's so skewed. And also the content is really trying to hammer it at home. I hope you write a sequel book on the positive sides of AI. I did want to ask you, when I read the book, I thought I heard your voice. I thought you had written the book, and Arvind maybe did some editing. You wrote about Arvind this and Arvind that. Did you write the first draft of the book and then he kind of came along?Sayash Kapoor (37:28):No, absolutely not. So the way we wrote the book was we basically started writing it in parallel, and I wrote the first draft of half the chapters and he wrote the first draft of the other half, and that was essentially all the way through. So we would sort of write a draft, pass it to the other person, and then keep doing this until we sent it to our publishers.Eric Topol (37:51):Okay. So I guess I was thinking of the chapters you wrote where it came through. I'm glad that it was a shared piece of work because that's good, because that's what co-authoring is all about, right? Well, Sayash, it's really been a joy to meet you and congratulations on this book. I obviously have expressed my objections and my disagreements, but that's okay because this book will feed the skeptics of AI. They'll love this. And I hope that the positive side, which I think is under expressed, will not be lost and that you'll continue to work on this and be a conscience. You may know I've interviewed a few other people in the AI space that are similarly like you, trying to assure its safety, its transparency, the ethical issues. And I think we need folks like you. I mean, this is what helps get it on track, keeping it from getting off the rails or what it shouldn't be doing. So keep up the great work and thanks so much for joining.Sayash Kapoor (39:09):Thank you so much. It was a real pleasure.************************************************Thanks for listening, reading or watching!The Ground Truths newsletters and podcasts are all free, open-access, without ads.Please share this post/podcast with your friends and network if you found it informative!Voluntary paid subscriptions all go to support Scripps Research. 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The Pies slowly overcame a rampant first quarter from Brisbane, and came from the clouds late to keep their slim finals hopes alive. Join Brian Taylor, Jack Heverin, Isaac Smith, Kate McCarthy, Ash Chua and Michael Roberts for every massive moment.   Catch Triple M Footy's Mini Match of the Round every MondaySee omnystudio.com/listener for privacy information.

Audio Podast https://www.podbean.com/login Login steve@citychurchca.com Ventura@6360 Title  Example “The Way, the Truth, and the Life. - Pastor Steve Bolles” Podcast description At City Church California, we exist for anyone to BELIEVE in God, to BECOME like Jesus and to BUILD together. Check out: https://www.citychurchca.com  To support this ministry and help us continue to reach people click here: https://thecity.churchcenter.com/giving For more: Website: https://www.citychurchca.com Instagram: https://www.instagram.com/citychurchcalifornia/ Facebook: https://www.facebook.com/citychurchca/

It's another week, so @EchoChamberFP https://www.instagram.com/echochamberfp/ is here, and we've got a 'TWO Parter' for ya!!! In 'Part One' we have planes & sharks thanks to Ingenious Media, Altitude Film Ent, Dimension Studio, Hyprr Films & RLJE Films. We get into friendship and loss with Vision Films, and 20th Century Studios reignite a franchise! Paramount show us how an invasion started, while Oddfellows & Neon get inventive with the creeps. THEN Arad Productions, Picturestart, Gearbox, 2K & Lionsgate bring a beloved game world to the big screen!!!! In 'Part One' we have: No Way Up Watch Review: Here. https://youtu.be/1MwP7524cj8 US Theatrical Release Date: 16th February 2024 UK Theatrical Release Date: 12th February 2024 Director: Claudio Fäh Cast: Colm Meaney, Sophie McIntosh, Jeremias Amoore, Will Attenborough, Grace Nettle, Phyllis Logan, James Carroll Jordan, Manuel Pacific, Peppijna Dalli, David Samartin, Scott Coker Running Time: 90 min Cert: 15 Trailer: Here. https://youtu.be/e1k1PC0TtmE?si=ejMNdxIgf9PGf8un Website: Here. https://www.altitudefilment.com/film/sales/97/no-way-up ---------------- Spirit of Friendship Watch Review: Here. https://youtu.be/83KXRWMsG3o Digital Release Date: 13th August 2024 Director: Danny LeGare Cast: Jeremy London, Sal Rendino, Glen Nicholes Jr, Carter Grassi, Delaney Miclette, Dante Corticelli, Luca Corticelli, Shane Shuska, Brianna Gleason, Christian Miclette, Megan Aparo, Laura Grassi Running Time: 86 min Cert: PG Trailer: Here. https://youtu.be/AYNQRLfZB4Y ---------------- Kingdom of the Planet of the Apes Watch Review: Here. https://youtu.be/Lyz5dSJZkLg TCL Chinese Theatre, Los Angeles, World Premiere: 2nd May 2024 US Theatrical Release Date: 10th May 2024 UK Theatrical Release Date: 9th May 2024 Director: Wes Ball Cast: Owen Teague, Kevin Durand, Peter Macon, Lydia Peckham, Travis Jeffery, Sara Wiseman, Neil Sandilands, Eka Darville, Ras-Samuel Weld A'abzgi, Freya Allan, William H. Macy, Dichen Lachman Running Time: 145 min Cert: 12a Trailer: Here. https://youtu.be/XtFI7SNtVpY?si=TU-EZoTEl7v6r70c Website: Here. https://www.20thcenturystudios.com/movies/kingdom-of-the-planet-of-the-apes ---------------- A Quiet Place: Day One Watch Review: Here. https://youtu.be/sGW7W_MKniM Tribeca Festival, World Premiere: 26th June 2024 Theatrical Release Date: 28th June 2024 Director: Michael Sarnoski Cast: Lupita Nyong'o, Joseph Quinn, Alex Wolff, Djimon Hounsou, Eliane Umuhire, Takunda Khumalo, Alfie Todd, Avy-Berry Worrall, Ronnie Le Drew, Benjamin Wong, Michael Roberts, Alexander John Running Time: 99 min Cert: 15 Trailer: Here. https://youtu.be/YPY7J-flzE8?si=00ZQF-fYLB-S0wXi Website: Here. https://www.aquietplacemovie.com/home/ ---------------- Longlegs Watch Review: Here. https://youtu.be/to1e8JWd-HY Beyond Fest, World Premiere: 31st May 2024 US Theatrical Release Date: 8th July 2024 UK Theatrical Release Date: 12th July 2024 Director: Osgood Perkins Cast: Maika Monroe, Lauren Acala, Nicolas Cage, Blair Underwood, Alicia Witt, Michelle Choi-Lee, Dakota Daulby, Kiernan Shipka, Maila Hosie, Jason Day, Lisa Chandler, Ava Kelders, Rryla McIntosh Running Time: 101 min Cert: 15 Trailer: Here. https://youtu.be/FXOtkvx25gI?si=g4LwDftVOc4-UmbN Website: Here. https://www.longlegs.film/home/ ---------------- Borderlands Watch Review: Here. https://youtu.be/L7gFcRdiOV8 TCL Chinese Theatre, Los Angeles, World Premiere: 6th August 2024 US Theatrical Release Date: 9th August 2024 UK Theatrical Release Date: 8th August 2024 Director: Eli Roth Cast: Cate Blanchett, Kevin Hart, Jack Black, Edgar Ramírez, Ariana Greenblatt, Florian Munteanu, Gina Gershon, Jamie Lee Curtis, Haley Bennett, Bobby Lee, Olivier Richters, Janina Gavankar, Cheyenne Jackson, Charles Babalola, Benjamin Byron Davis Running Time: 102 min Cert: 15 Trailer: Here. https://youtu.be/Icnysn53neU?si=8rD0aW8896nHIk70 Website: Here. https://borderlands.movie/ ---------------- *(Music) 'Da Joint' (Instrumental) by EPMD - 2020

Tom Shrader, Ryan Koleda, and Jordan Killam of R2 Surgical join our host Michael Roberts to discuss their business model of buying, selling, and refurbishing surgical robotics and equipment. You'll learn more about how their process works, the types of customers they serve, and how this type of business fits into the overall landscape of the medtech industry. Hosted on Acast. See acast.com/privacy for more information.

The Pies and Blues play out a thriller in Scott Pendlebury's 400th game. Join Jack Heverin, Joey Montagna, Bernie Vince, Sarah Hosking, Ash Chua, and Michael Roberts for every massive moment. Catch MMM Footy's Mini-Match of the Round every Monday.See omnystudio.com/listener for privacy information.

It was your classic 8-point game late in the season, as GWS hung on to beat a fast-finishing Melbourne at the Triple MCG and cement themselves further into the top 8. Join Jack Heverin, Theo Doropoulos, Joey Montagna, Sarah Hosking, Ethan Meldrum, and the birthday boy Michael Roberts for every massive moment. Catch Triple M Footy's Mini-Match of the Round every MondaySee omnystudio.com/listener for privacy information.

It's the most famous sermon of all time, and we're taking the summer to dive into it! Join Jesus on the mountainside as He teaches His disciples of 2000 years ago - and His disciples today - each of us!   This week our special guest speaker, Michael Roberts, dives into Matthew Chapter 6 with a message titled, Don't Worry.

From AI to telesurgery, there are a lot emerging technologies that have the potential to transform how we approach healthcare. Dr. Roger Smith, Chief Strategist at modelbenders.ai and expert in robotic surgery technologies, joins our hosts Michael Roberts and Justin Bantuelle to discuss how the next generation of technologies might influence the future of healthcare. Hosted on Acast. See acast.com/privacy for more information.

Summer ON THE MOUNT

Jose Bohorquez and Mohamad Foustok of Bold Type join our hosts Michael Roberts and Justin Bantuelle to discuss recent updates to FDA guidance for cybersecurity requirements. You may be surprised to learn how many medical devices are affected and what changes are coming. Hosted on Acast. See acast.com/privacy for more information.

At City Church California, we exist for anyone to BELIEVE in God, to BECOME like Jesus and to BUILD together. Check out: https://www.citychurchca.com  To support this ministry and help us continue to reach people click here: https://thecity.churchcenter.com/giving For more: Website: https://www.citychurchca.com Instagram: https://www.instagram.com/citychurchcalifornia/ Facebook: https://www.facebook.com/citychurchca/

As Tom Hawkins breaks Geelong's All-Time Games Record, GWS finds a new cult hero in Leek Aleer - as they take a 4th consecutive GMHBA Stadium win. Join Barry Denner, Tim Solly, Isaac Smith, Ruby Schleicher and Michael Roberts for every massive moment. Catch MMM Footy's Mini-Match of the Round every MondaySee omnystudio.com/listener for privacy information.

Michael Roberts, HSBC US CEO, says the company's in-person attendance has doubled to 80% in it's New York office since they moved, helping the firm establish more of a footprint in the US. Roberts spoke with Bloomberg's Manus Cranny.See omnystudio.com/listener for privacy information.

At City Church California, we exist for anyone to BELIEVE in God, to BECOME like Jesus and to BUILD together. Check out: https://www.citychurchca.com  To support this ministry and help us continue to reach people click here: https://thecity.churchcenter.com/giving For more: Website: https://www.citychurchca.com Instagram: https://www.instagram.com/citychurchcalifornia/ Facebook: https://www.facebook.com/citychurchca/

The Cats remained undefeated after holding off a fast finishing Carlton in a high-scoring and entertaining game in front of a packed Triple MCG crowd. Brian Taylor, Jack Heverin, Kate McCarthy and Michael Roberts call every massive moment as the Cats move to 7-0 in a close win over the Blues. Catch MMM Footy's Mini-Match of the Round every Monday!See omnystudio.com/listener for privacy information.

GUEST OVERVIEW: Michael Roberts, a self-identified leftist, boasts a background in politics and academia, with degrees from the University of York and UCL. Despite health setbacks, he's delved into government Project and Programme Management, even working at the UK Mission to the UN. A devoted West Ham fan and songwriter, he relocated to March, Cambridgeshire, to be closer to family. Disillusioned by mainstream party politics' handling of Brexit and social issues, he's thrown his hat in the ring for the Social Democratic Party (SDP), advocating for a social democratic agenda. As Spokesman for North East Cambridgeshire, he's keen on addressing local concerns like housing shortages, high energy costs, transportation expenses, and immigration, supporting the nationalization of key sectors like energy and transport. He emphasizes the importance of regulated immigration to prioritize retraining local workers and opposes radical gender ideology and identity politics.

The winless Crows took on an undefeated Carlton at Marvel Stadium, and it looked like going to script Blues until a late Adelaide burst stunned the Blues and nearly blew the lid off! Hear every massive moment with Brian Taylor, Jack Heverin, Daisy Thomas, Kate McCarthy and Michael Roberts. Catch MMM's Mini-Match of the Round every Monday.See omnystudio.com/listener for privacy information.

NOTE: For Ad-Free Episodes, 100+hrs of Bonus Content and More - Visit our Patreon at https://www.patreon.com/thewheelweavespodcastFind us on our Instagram, Twitter, YouTube & Website, and join the conversation on Discord!In this episode Dani and Brett discuss Chapter 31 of The Gathering Storm.We would like to give a huge thank you to all of our Patrons who have renewed their annual pledges for a 2nd and 3rd year in a row!!! Thank you so much to Andrea Ramirez, Michael Langer, Big C, nyghtrunner_prime, Michael Roberts, Emily Böhm, Tim Gruber, and Darin Douglass.We would like to acknowledge and thank our Executive Producers Brandy and Aaron Kirkwood, Sean McGuire, Janes, LightBlindedFool, Green Man, Deyvis Ferreira, Margaret, Big C, Bennett Williamson, Dylan C, Hannah Green, Noralia, Jordan Gower, Geof Searles, Erik Reed, Greysin Ishara, Ashlee Bradley, and Laura Lewis!The Wheel Weaves is hosted and edited by Dani and Brett, produced by Dani and Brett with Passionsocks, Cody Fouts, Benjamin, Jamie Young, Magen, Jared Berg, Rikky Morrisette, Lance Barden, Adam, Mozyme, Michelle Forbes, MKM, Antoine Benoit, Lawrence Bradley, Colby T, and Gabby Young. With music by Audionautix.Check out our partner - the Spoiler-Free Wiki - Spliki.com - Your main first time reader, Spoiler-Free WoT information source!Don't forget to leave us that 5 star review if you enjoy the show for a chance to win exclusive merchandise!Check out https://www.thewheelweavespodcast.com for everything The Wheel Weaves!

Time and time again, I'm reminded that it's the microscopic intricacies of my body (and yours!) that have monumental effects on my performance, longevity, and well-being.  And Nicotinamide Adenine Dinucleotide (NAD+) status is one of the "biggest" smallest molecules to consider. NAD+ is a molecule of paramount necessity to mitochondrial function, energy production, and yes, aging. Your NAD+ status is one of the most important things to consider not only for your longevity but for your energy and well-being.  Because NAD+ is at the forefront of the health and wellness industry right now, and because I've gotten so many questions about it, I recently published a comprehensive article titled "Everything You Need To Know About NAD+: The Crucial Role It Plays In Your Mitochondrial Health, How NAD+ Slows Down Aging & Increases Energy, Ways To Increase NAD+ Using Lifestyle, Why NAD+ Precursors May Be Problematic & A Safe, Cost-Effective Oral NAD+ Supplement Strategy." Today, I'm following up on that article with a complementary podcast that's sure to help bolster your understanding of this little miracle molecule. Together, Dr. Michael, Matt, and I are diving deep into the world of NAD+. Discover the essential role it plays at the cellular level, the factors that deplete it, and the smorgasbord of ways to naturally elevate its levels. We'll also shed light on groundbreaking research, decode alternative delivery methods, and unveil the truth behind the NAD+ hype. Step with the three of us into the intriguing realm of NAD+, where we'll explore together how this tiny molecule plays an outsized role in your health and vitality. Full Show Notes: https://bengreenfieldlife.com/ingredients Episode Sponsors: Joovv: Visit Joovv.com/ben and apply code BEN. Levels: First purchase includes a 1-month supply of continuous glucose monitors, a 12-month software membership, and an additional 2 free months of annual membership  levels.link/BEN. Seed: Use code BEN at seed.com/bengreenfield to redeem 30% off your first month. BioStack Labs: Spend $100 or more on BioStack.com/Ben15 and get 15% off KetoMed: Visit ketomed.com/ben and use the code: Ben40 to receive $40.00 off, plus free shipping and no tax. See omnystudio.com/listener for privacy information.