Podcasts about bottlenecks

Ever wondered how to unlock a whopping 10 million dollars in your business just by rethinking your time management? In this episode of Thrive Loud with Lou Diamond, we dive into the fascinating world of business operations with Jhana Li, owner of SpyGlass Ops. Known for empowering over a hundred businesses to scale past 7 and 8 figures, Jhana shares her insights on how founders can regain personal freedom while skyrocketing their revenue. Key highlights include: Discover the "magic vending machine" syndrome and how it's sabotaging your leadership effectiveness. Learn about the top four bottlenecks holding 90% of online entrepreneurs back and how to overcome them. Explore the transformative power of AI in operational efficiency and why it's time to transition your team from ‘doers' to ‘thinkers'. Jhana's personal practices for thriving, even when the going gets tough, such as her commitment to spending time outdoors and working with a coach. Jhana also generously offers a free copy of her ebook to listeners who DM her with the code "ThriveLoud" on Instagram. This ebook delves deeper into the six core operational pillars that can transform a business. So, tune in and learn how you can apply these actionable strategies to elevate your business operations and free up your time for visionary thinking.   TIMESTAMPED OVERVIEW 00:00 Accidental CEO to Operations Expert 05:12 Founder Challenges: Vision and Alignment 09:24 Time Mismanagement Costing Millions 11:45 Founder-Dependent Leadership 14:59 "AI: Shifting From Doers to Thinkers" 17:07 "Embracing Efficiency and Leadership" 22:47 Speakeasy Pub Crawl Stroll 23:37 Episode Opening and Closing Music

In this insightful episode of Hoots on the Ground with No Bullshido, Adam Hoots is joined by Hal Macomber, a respected leader, coach, and influential figure in the field of Lean Construction. Hal shares over 35 years of experience pioneering Lean practices, offering profound insights into continuous flow construction, human-centered leadership, and the power of engaging frontline workers. Hal reflects on the industry's progress, emphasizing that while Lean has made significant strides, substantial work remains to integrate its core principles universally. He introduces the concept of "Continuous Flow Construction," explaining the critical importance of designing projects with a clear operational rhythm or "Takt," thereby dramatically improving efficiency and reducing project duration. Key insights from this episode include: How continuous flow construction, designed around Takt time, can revolutionize project delivery by dramatically reducing cycle times, sometimes from weeks to mere hours. The essential role of operational science, including Little's Law, the Law of Bottlenecks, the Law of Variation, and Kingman's Formula, in enhancing production planning and control. The true meaning of "Kaizen," emphasizing personal and collective growth through continuous learning and improvement, extends beyond simply eliminating waste. The critical need to equip trade workers, whom Hal respectfully refers to as "performers," with the skills, mindset, and agency to execute Lean principles in the field effectively. The limitations of traditional scheduling methods (e.g., CPM) necessitate the adoption of collaborative, inclusive scheduling practices that fully integrate Lean methodologies. Hal highlights the transformational power of true worker agency and engagement, urging leaders to foster environments where frontline workers actively contribute to problem-solving and continuous improvement. He challenges conventional wisdom by asserting that push methods are never beneficial, advocating instead for a system based entirely on pull and flow. Through stories and practical advice, Hal and Adam encourage listeners to shift from rigid, hierarchical structures toward empathetic, human-centered approaches that harness the full potential of every team member. This episode is a crucial listen for construction leaders, Lean practitioners, and anyone passionate about driving deep, sustainable improvement through genuine human engagement and systemic thinking. NOTABLE EPISODE QUOTES: “Continuous flow construction isn't just about efficiency; it's about human engagement and empowerment.” – Hal Macomber “Real Kaizen is using every opportunity to grow ourselves, not just the system.” – Hal Macomber “Don't just respect people—respect human nature.” – Hal Macomber   ABOUT HOOTS ON THE GROUND PODCAST:The Lean Builder's absolutely, positively NO Bullshido podcast. Join host Adam Hoots and his guests as they dig deep into topics that matter most to those in the field. With stories from the trenches, lessons learned, and plenty of laughter, this podcast is for the men and women doing the hands-on work of construction. RESOURCE LINKS MENTIONED IN THIS EPISODE: ·        The Lean Builder | Blog, book, resources, news, and events. ·        Toyota Kata | Methodology for systematic continuous improvement. ·        Little's Law, Law of Variation, Law of Bottlenecks, and Kingman's Formula (overview of all laws) | Operational science fundamentals. GUESTS FEATURED IN THIS EPISODE: ·        Adam Hoots | LinkedIn  | Podcast host, Lean Construction Shepherd at ConstructionACHEsolutions. ·        Hal Macomber | LinkedIn  | Lean construction pioneer, influential Lean coach, and mentor.

Watch This NEXT: https://youtu.be/dkixSG4hVRIMost people build a business that caps at $10K/mo.Brook Hiddink built a business that does over $2 million/month.The difference?He didn't just create a coaching offer.He built an ecosystem that drives revenue.This isn't the game most people are playing.Most online business owners are selling overpriced info, begging for likes, and stuck fulfilling 1:1 calls.Meanwhile Brook built a scalable system that brings in cold traffic, sells high-ticket, delivers results at speed, and scales with almost no friction.And here's the truth:You can literally steal his model.We just dropped a full breakdown on the podcast.You'll see exactly:– How he gets 3x better client results than anyone else– How he makes his competitors irrelevant overnight– How to build a real backend that drives revenue constantly– and how to set up a content + offer machine that does the heavy lifting for youIt's all in the episode.Don't just consume it.Copy it.Build it.Use it.Smash that like button for more episodes like this!(00:00) Intro(01:19) The Secret to Brooke's Success(04:02) The Advantage of Entrepreneurship(07:57) Brook's Unique Business Model(09:21) The Psychology of High-Ticket Coaching Clients(12:02) Becoming One of the Top E-Commerce Coaching Programs(14:54) What Makes Brooke's Coaching Program Successful(18:53) Scaling Client Support(20:33) How AI is Helping Brooke's Business Grow(25:00) How AI is Disrupting E-Commerce(28:41) Brook's Decision to Build a Software Company(34:15) Brook's Plans for a Big Software Exit(37:08) Long-Term Vision for Business Growth(45:59) The Role of Fear and Insecurity in Entrepreneurship(48:33) Dubai: The Best Place for Entrepreneur Networking?(52:07) How Family and Relationships Fuel Entrepreneurial Success(56:03) The Power of Focus: One Goal, One Path(59:11) The Bottlenecks of Scaling a VSL Funnel(01:05:43) Brook Hiddink's Sales Process(01:09:01) Using AI to For Sales & Marketing(01:13:04) How AI is Increasing Business Efficiency and Growth(01:17:55) The Role of AI in the Future of Personal Branding(01:22:31) The Rise of Info-Education Programs and VC Interest(01:25:25) The Maturation of the Coaching IndustrySupport the show

If you've built the team, implemented the systems, and done everything you thought would make scaling easier—but you're still overwhelmed and stretched thin—this episode is for you. Because here's the truth: Your business is keeping you stuck.

Genevieve Hayes Consulting Episode 56: How a Data Scientist and a Content Expert Turned Disappointing Results into Viral Research It’s known as the “last mile problem” of data science and you’ve probably already encountered it in your career – the results of your sophisticated analysis mean nothing if you can’t get business adoption.In this episode, data analyst Dr Matt Hoffman and content expert Lauren Lang join Dr Genevieve Hayes to share how they cracked the “last mile problem” by teaming up to pool their expertise.Their surprising findings about Gen AI’s impact on developer productivity went viral across 75 global media outlets – not because of complex statistics, but because of how they told the story.Here’s what you’ll learn:Why the “last mile” is killing your data science impact – and how to fix it through strategic collaboration [01:00]The counterintuitive findings about Gen AI that sparked global attention (including a 40% increase in code defects) [13:02]How to transform “disappointing” technical results into compelling business narratives that drive real change [17:15]The exact process for structuring your insights to keep executives engaged (and off their phones) [08:31] Guest Bio Dr Matt Hoffman is a Senior Data Analyst: Strategic Insights at Uplevel and holds a PhD in Physics from the University of Washington. Lauren Lang is the Director of Content for Uplevel and is also a Content Strategy Coach for B2B marketers. Links Connect with Matt on LinkedInConnect with Lauren on LinkedInCan Generative AI Improve Developer Productivity? (Report) Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE Read Full Transcript [00:00:00] Dr Genevieve Hayes: Hello, and welcome to Value Driven Data Science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I’m Dr. Genevieve Hayes, and today I’m joined by Lauren Lang and Dr. Matt Hoffman. Lauren is the Director of Content for Uplevel and is also a Content Strategy Coach for B2B marketers.[00:00:26] Matt is a Data Analyst and Product Manager at Uplevel and holds a PhD in Physics from the University of Washington. In this episode, we’ll uncover proven strategies for transforming complex technical findings into compelling business narratives that drive real organizational change. So get ready to boost your impact, earn what you’re worth, and rewrite your career algorithm. Lauren, Matt, welcome to the show.[00:00:55] Lauren Lang: Hi Genevieve, thank you so much.[00:00:57] Dr Matt Hoffman: Thanks for having us. Excited to be here.[00:01:00] Dr Genevieve Hayes: In logistics, there’s a concept known as the last mile problem. Which refers to the fact that the last stage of the delivery process of people or goods is typically the most complex and expensive while also being the most essential. For example, it’s typically easier and cheaper to fly a plane full of packages from Australia to the U.[00:01:22] S. than it is to transport those packages by road to their final destinations within the U. S. Yet if you can’t distribute those packages once they arrive in the U. S., they may as well have never left Australia. It’s for this reason that supply chain managers typically focus a disproportionate amount of effort on planning those final miles.[00:01:43] Data scientists also face their own last mile problem. Despite many data science projects requiring sophisticated modelling and analysis techniques, the most difficult part of data science is often communicating the results of those projects to senior management and gaining adoption of the project from the business.[00:02:04] That is the final stage. Yet, unlike in logistics, This is also the stage where data scientists typically focus the least amount of effort, much to the detriment of their work and their careers. Lauren and Matt, the reason why we’ve got both of you as guests in today’s episode is because you’ve recently backed this trend and pooled your combined experience in communications and data science with outstanding results.[00:02:33] And this is actually the first time I’ve come across a data scientist working directly with the communications expert to address the data science last mile problem. Although, it probably should be far more common. So to begin with, Matt, can you give us an overview of the data science project you were working on and how you came to team up with Lauren when delivering the results?[00:02:57] Dr Matt Hoffman: So we work at Uplevel and Uplevel is a company that pulls in data about software engineers and we help tell those data stories to our customers. Senior leaders of engineering, like software engineering firms so that they can make data driven decisions and drive change within their organizations.[00:03:17] One of the things that’s really come up in the past year is this full topic of gen. AI software engineers being able to talk to an AI assistant to help them write code and the thinking was, oh, this is a silver bullet. We’re just going to be able to. Turn on this system. Our developers are going to be more productive.[00:03:36] Instantly. The code is going to get better. There’s going to be nothing but greenfield. If we just turn this on, it’s a no brainer, we heard those questions and we don’t develop our own gen AI tool. But what we do have is data about software engineers and how they spend their time, the effectiveness of their work.[00:03:54] Are they able to deliver more? Are they getting more things done? How’s the bug rate of their code? So it was natural for us to go explore that problem and really try to understand what is the impact of Gen AI on software engineers. That’s the problem that we were facing. So I work with our data science team.[00:04:13] I’m not actually on our data science team, but worked with them to go do this analysis to really try to understand how do people compare to themselves and what changes do we see within this. And then we pulled in Lauren to go start showing off what we found. And that’s where that story kicked off.[00:04:32] Dr Genevieve Hayes: Prior to working with Lauren, what are some of the challenges you encountered in communicating the results of your analysis?[00:04:38] Dr Matt Hoffman: Well, it’s always a tricky one when the answer is complicated. The real fundamental place that we at Uplevel are at is that this is human data. While we may be able to measure timestamps to a millisecond, This is all still predicated that this is people data and people do weird things. And the data is messy and the data is muddy.[00:05:03] So there’s the constant battle of, well, what can we trust? We’re looking for correlations and, you know, you squint to see if like, there’s something there you peel back a layer and then there’s something more, but people data is hard to work with. So that’s really a skill of our data science team to help pull that back.[00:05:20] But we were. Kind of struggling to make heads and tails of what were the real conclusions. And Lauren really helped clarify that story for us and get that communication there.[00:05:30] Dr Genevieve Hayes: People are irrational. I mean that’s the big problem with us. Before you did this, had you ever made some massive mistake because you just assumed people were rational when they worked?[00:05:44] Dr Matt Hoffman: It’s funny stuff so sometime when some work’s becoming delayed and you go ask for the root cause and it’s like, oh, someone’s saying, I thought I did that and I forgot. Like, I never hit the button. That’s the kind of, people data that we see is that, like, yeah, that happened.[00:05:59] It was late, but that was just because you forgot to hit the button. People’s behavior is really funny. So yeah, we just have to kind of take that into account that everybody’s different. That’s okay. And we need to bake that into our analysis, that people work differently and not try to over fit one model that applies to everybody .[00:06:18] Dr Genevieve Hayes: Yeah, I actually wrote a LinkedIn post a while ago saying, people are a problem with data and wouldn’t it be nice to just be dealing with mechanical processes? And I had someone reply to that post who works at a water agency where they don’t deal with people, it’s, water going through pipes, and they said, well actually mechanical processes are just as annoying, they just are annoying in different ways because you have the sensors malfunctioning and all this.[00:06:44] You can dream about not dealing with people but Machines cause problems too .[00:06:48] Dr Matt Hoffman: Yeah, that’s exactly right. So you just have to know that going in and know that it’s going to be messy. And plan for that.[00:06:56] Dr Genevieve Hayes: So Lauren, in your content strategy coaching work you’ve done a lot of work with software as a service companies. And as Matt said, Up Level itself is a company that Works with engineers and probably has a lot of engineers as its employees. So, I’d imagine you’ve worked with a lot of very technical people throughout your career.[00:07:20] Lauren Lang: I have. Yes.[00:07:21] Dr Genevieve Hayes: What are some of the biggest issues you’ve noticed in how technically minded people, especially data scientists and data analysts, present their findings to business stakeholders?[00:07:33] Lauren Lang: It’s very funny because I think that there is a lot of similarities actually between how data scientists might present their findings and how a lot of marketers present their findings. And you would think like, Oh, marketing is so much more. We have our thumb on the pulse of the business.[00:07:48] And, marketers are so much more business driven, but I think, anyone who is looking at data as marketers, we look at data too. We are. Not data scientists, but there’s a fair amount of data science, sometimes in marketing. And there’s a lot of data analysis that happens. And I think there is just this tendency sometimes to.[00:08:07] Get very myopic and get very focused on your own specific context in looking at the data and forgetting that there is probably a larger story that the data existed to tell. I see this a lot. 1 of the. Challenges that I see a lot is, marketers will go into a meeting with a CEO and they will have dashboard after dashboard and chart after chart.[00:08:31] And there is a very sort of distinct look on an executive space when. You’ve shown them three charts in a row or three dashboards and it’s like a completely blank look and you know that they are literally anywhere else. but in the conversation and it’s a little bit of like a death now.[00:08:51] And so I think for anyone who likes to geek out on data, whatever part of the business you’re in, you have to remember that there is this larger value story that you need to be telling, and you need to be showing that data and be mindful of the context in which you’re showing that data.[00:09:08] To what end? Rather than just taking people down the rabbit hole with you. I think sometimes there’s an assumption that everyone should be as interested about all of the nuances and slight, variances in the data as you are, and that’s not always the case.[00:09:24] Dr Genevieve Hayes: Yeah the way you’re describing that death knell face, yeah, I’ve seen that before. And worse than that is when the people you’re presenting to start playing with their phones. Then you definitely know that you’ve failed.[00:09:35] Lauren Lang: Might as well call it right there.[00:09:37] Dr Genevieve Hayes: Yeah, , just pack up and walk out of the room at that point.[00:09:39] Lauren Lang: That’s right. That’s right.[00:09:42] Dr Genevieve Hayes: So, I assume you’ve pointed out these issues to technical people who you’ve worked with. How do they typically respond when you say, hey, not everyone’s as geeky as you?[00:09:53] Lauren Lang: I think there’s a way to couch that in a way, because I have a lot of empathy for it. Geeky people are excited about what we do. I mean, there’s a passion there. And so you don’t want to not communicate that passion.[00:10:05] I think that’s really important. And, there’s some exciting results or, even. Not exciting results that you didn’t think were going to pan out, but there’s always a story to tell, but it’s just, can you tell it maybe at a slightly more abstract level of specificity, maybe? Or can you tell it with an understanding of the context in which your audience exists[00:10:28] I think there’s just a lot of tendency to Just forget that not everyone brings the same experiences and the same understanding and the same depth of knowledge to the table. And so the best way that the stories we tell with data can be impactful is to tell them in context and to be able to pull out the important parts that really can bring the message home.[00:10:50] Dr Genevieve Hayes: So, put yourself in the shoes of your audience,[00:10:53] Lauren Lang: absolutely. You should always have empathy with the person you’re trying to communicate to. I think it was Kim Scott said that communication happens at the listener’s ear and not the speaker’s mouth. That’s where meaning is made. It’s really important to keep that in mind as you are stepping into the shoes.[00:11:09] Of the communicator,[00:11:11] Dr Genevieve Hayes: so, I’d like to now take a deep dive into the project that the two of you collaborated on so Matt, how did you determine which insights from your analysis were most relevant for communicating with management? Are[00:11:24] Dr Matt Hoffman: So we have a set of measures at up level that are kind of part of our standard suite of analysis. So 1st, because if you can’t go explore the data for yourself and understand where your team’s at, then that’s a really unsatisfying experiment. So we knew that we wanted to look at some of these measures.[00:11:43] We’ve also been doing this for a few years now, so we do have a pretty good grasp on. You know, what are appropriate measures to look at for software engineers? And then what is completely inappropriate? That’s like, this is just not a good measure. You shouldn’t use it. It’s problematic for 1 reason or another.[00:12:01] So choosing those measures that we think. Are kind of universally applicable, are good proxies of how this experience may look, and then really trying to see what’s going to move and shift when we look at these. Those were kind of the criteria. We had a few hypotheses that we went in for how we thought things were going to move once you introduced Gen AI to the mix.[00:12:22] And we were surprised by our hypotheses, and we had to reject some of them, which was really fun. And it makes you really challenged that you’re doing it right. And then finding that this actually does go against what we thought would happen.[00:12:36] Dr Genevieve Hayes: you able to share any examples of these?[00:12:39] Dr Matt Hoffman: One of the things that we wrote about and we can share the link to our study was the general thinking was, hey, if you’re going to use Gen AI, you’re going to be able to ask questions and Jenny is going to help you write better code. So one of the things we looked at was. What’s the defect rate of code that gets merged and then it needs to get fixed later?[00:13:02] So how often does that happen? You would think that that would go down if the code is going to be of higher quality because Gen AI is helping you. Now what we found was that actually the defect rate went up. Another organization seemed to find the same thing, saying that the result of Gen AI was that there’s larger changes to code.[00:13:23] And then more things are going to get missed because the batch size is getting larger. So you might find things. four bugs, but there’s five because you’re writing bigger and bigger code changes. So we saw that the defect rate for the cohort that was using Gen AI went up by 40 percent compared to themselves, which is a pretty market change.[00:13:43] So that was one that , we were very surprised to see and are really interested to see what happens next with that as all these tools get better and better and better.[00:13:53] Dr Genevieve Hayes: insight you just described, that doesn’t surprise me because my own personal experience I’ve found with writing code using Gen AI, you can produce the code really, really fast. You’re spending. twice as long or three or four times as long debugging it, because there are all these bugs in it that would not be in there if you’d written it yourself.[00:14:14] And you’re just not used to having that many bugs to fix.[00:14:19] Dr Matt Hoffman: Yeah, and it might be not stylistic, like, the way that you think that you should write your code it might pull some solution that looks reasonable at first pass, but it’s pretty hard to debug if it’s the right thing when it, looks right, smells right, but then under the hood, there’s something wrong with it.[00:14:36] Also, Jenna, I doesn’t understand the context of the problem that you’re trying to go write code for. You have that in your head, you know where you’re at and where the destination is, and it’s going to help you write some code. But you have that.[00:14:49] Dr Genevieve Hayes: Yeah. And I’ve found it creates. Non existent Python packages and non existent Python functions, which is fun, because then you spend half an hour trying to find this package that doesn’t even exist.[00:15:02] Dr Matt Hoffman: It’s tricky. It really is. The other one that I would just briefly say that we looked at is we thought people would write code faster. That’s the statement that you just said. How quickly does it take to get from commit to merge? Does that really pick up? Because you’re using Gen AI.[00:15:16] And we found that it didn’t make much of a tangible impact. That there’s still a lot of time that’s spent when you’re trying to understand the problem of what you’re trying to solve, how you might approach it, the architecture of it. None of those things are going to go away.[00:15:31] Bottlenecks of having another human review your code, that doesn’t change whether they both have Gen AI or not. You’re still working with other people. So those structural factors do tend to be very important in this problem. And those are ones that you need to pursue and kind of conventional means of understanding how your teams work and doing better.[00:15:51] So that one didn’t move at all. And we thought that that would speed up. That was our hypothesis.[00:15:56] Dr Genevieve Hayes: Yeah, doesn’t surprise me. So, Lauren, how did you take these insights and structure them into a narrative that maximized their impact?[00:16:04] Lauren Lang: well, it was funny because even before we had done the research, we knew we wanted to do this research and we wanted to publish it. And looking from a content marketing perspective, I think original research right now is one of the most, potentially impactful formats for creating content.[00:16:23] And some of that is that, there is so much out there. That is just really bland. And I is not helping. Jenna is not helping with that. There’s a lot of content. That is just not special. It’s not differentiated. It’s not helping to educate or inform anybody or share anything new. And so when you have the opportunity to sort of lend something new to the conversation, that’s an important opportunity.[00:16:46] So we knew going in that we were going to do it. What we were not expecting were the results that we got. And I laughed a little bit when we got these results. I had a meeting with our data science team and with Matt, and., we all are sitting down and I’m like, lay it on me tell me what the results were and they were a little bit disappointed and they said, it’s kind of we’re not seeing, a big thing from Impact perspective or a data perspective, like, it’s just not that exciting.[00:17:15] And I said, oh, no, actually, this is very exciting because there were a number of factors. I think that really made this a really impactful report. 1st was just having some new original research on this topic. That is maybe the hot topic of the decade.[00:17:31] I think was really exciting. So it was like, listen, we know that people are very interested in this. We know that this is the question that they are asking, especially engineers and engineering leaders, the people who we serve from a business standpoint. They want to know is gen AI actually helping my developers be more productive.[00:17:48] And we have like some. Things that we can show around that. And then also the fact that we were able to then bring a little bit of a spiky and contrarian point of view about this because a lot of the research that’s been published already is either survey based. So, a lot of developers reporting whether or not they feel more productive.[00:18:11] Which is data as well, but, this is we’re bringing some quantitative data to bear or some of the other data was published by the. AI tools themselves, so you have to take that with a grain of salt. So, we came in[00:18:27] with this sort of interesting and different point of view. And that really, really took off for folks. And we found that some people were surprised. We found a lot of developers and engineers like you, Genevieve, who are not who said, I have been saying this all along. And this feels very validating because I think there is some anxiety among engineers that, Hey, like leadership just thinks that can be replaced.[00:18:50] But it really kicked off a really big conversation in the industry where we just said, Hey, you know, there’s a little bit of a hype cycle right now. We don’t know for sure. , we have results from one sample. There’s no big claims that we can make about the efficacy in the long run.[00:19:06] And things change very quickly. Gen AI is improving all the time, but. We do have some data points that we think are interesting to share and it really took off and it was great for us from a business perspective. It really helped take the work that we do into that last mile. And it helped make the work that we do feel very tangible and accessible for folks.[00:19:29] Dr Genevieve Hayes: So it sounds like, rather than taking a whole bunch of statistics and graphs, which would have been the output of Matt’s work. You translated those statistics and graphs into a narrative that could be understood by a person who wasn’t a data scientist or wasn’t a data analyst. Is that right?[00:19:49] Lauren Lang: Yes, we did. And our audience is primarily engineering leaders, engineering leaders are not data scientists, but they’re technical. So we identified three main takeaways. And we presented that we shared a little bit about our methodology.[00:20:03] And we shared essentially Some thoughts about what does this mean, what is the larger significance of what we found? What does this mean for you as an engineering leader does this mean that we think that you should stop adopting AI?[00:20:17] Does it mean that, right?, you should be more controlling of how your engineers are experimenting with AI. And, we don’t believe that’s the case at all. But it allowed us to sort of share some of our perspective about, how you build effective engineering organizations and what role we think I may have to play in that.[00:20:35] And, that is the larger story where data becomes very interesting because there’s sharing the data and then they’re sharing the so what around the data. So, what does this mean for me as an engineering leader? And so we really tried to bring those 2 elements together in the report.[00:20:51] Dr Genevieve Hayes: How was this report ultimately received by the audience?[00:20:55] Lauren Lang: Very well. We issued a press release around it. And I think we were picked up globally by somewhere between 50 and 75 media outlets, which. For a small engineering analytics platform, I’m pretty happy about that. It was in some engineering forums, it really became a big topic of discussion. We went sort of medium level viral. And it felt really good. It’s like, this is a really interesting topic. We accept that it’s an interesting topic.[00:21:22] We think that we have something that is very interesting to add to the conversation. So, yeah, it was good and some folks to it was great, you know, because engineering leaders are naturally skeptical. This is 1 of the most fun parts about marketing to engineering leaders that engineering leaders hate marketing.[00:21:38] So we got a few emails of folks who are like, tell us more about your methodology. And they really sort of wanted to, see behind the scenes and really, really dig in. And, that is par for the course. And we would expect nothing less[00:21:51] It was a really positive impact. I’m really glad we did it.[00:21:53] Dr Genevieve Hayes: So with all that in mind, I’d like to ask this of each of you. What is the single most important change our listeners could make tomorrow to accelerate their data science impact and results?[00:22:05] Dr Matt Hoffman: I. am very fortunate to have Lauren as an editor even when we collaborate on writing, an article I think having someone who can help you clarify and simplify your story is so important. You really do want to edit and bounce back and forth and try to distill down the most important bits of what you’re doing.[00:22:28] I tend to want to share, like, Everything, all of the details, all the gritty stuff, the exact perfect chart and it’s like, let’s simplify, simplify, simplify. And part of that conversation is also, who’s going to be receiving this? And what’s their persona? At what level are we going to explain this work?[00:22:47] Are they going to be familiar with, the methodology that we’re using? Or do we need to explain that too? So, how do we write everything at the most appropriate level and understand the life cycle of? This report that we’re doing. So having an editor would be my big one and understanding your audience would be the other.[00:23:06] Lauren Lang: I absolutely agree with everything Matt said. I think that the more that you make Sharing the results of your research, a team effort and a team sport, the more you’re likely going to succeed at it. But I think probably, and I’ll just come at it from, more of a technical perspective.[00:23:23] When you are presenting information, 1 of the things that could be very helpful is to present it at various levels of detail. So, making sure that you are presenting key takeaways or abstracts at 1 level and then. People can always double click into things and dive deeper and, you can include appendices or include links to , more of the detailed research.[00:23:47] But I think sort of having these executive summaries and really sort of being able to come at things from a very high level Can help sort of get that initial interest so that people understand quickly. what did the research find? What is the impact? And what is the context that this research was performed in?[00:24:06] Where is the business value, so, being able to connect the dots for your audience in terms of not only did we find this, but here’s what it means. And that thing that it means is actually very impactful to you and the job that you are trying to accomplish .[00:24:19] Dr Genevieve Hayes: So for listeners who want to get in contact with each of you, what can they do?[00:24:23] Lauren Lang: I live on LinkedIn. So they can look me up on LinkedIn. I think my little handle there is ask Lauren Lang.[00:24:31] Dr Matt Hoffman: Likewise, I don’t know what my LinkedIn handle is, but I’m on there. That would be the easiest way to get a hold of me on that.[00:24:39] Lauren Lang: You obviously need to spend more time on LinkedIn than Matt.[00:24:42] Dr Genevieve Hayes: Yes. And there you have it. Another value packed episode to help turn your data skills into serious clout, cash, and career freedom. And if you enjoyed this episode, why not make it a double? Next week, catch Lauren and Matt’s Value Boost, a five minute episode where they share one powerful tip for getting real results real fast.[00:25:08] Make sure you’re subscribed so you don’t miss it. Thanks for joining me today, Lauren and Matt.[00:25:12] Lauren Lang: Thank you so much for having us.[00:25:14] Dr Matt Hoffman: Thank you. It was really lovely.[00:25:16] Dr Genevieve Hayes: And for those in the audience, thanks for listening. I’m Dr. Genevieve Hayes, and this has been value driven data science. The post Episode 56: How a Data Scientist and a Content Expert Turned Disappointing Results into Viral Research first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Join host Nick Schutt on Robots & Red Tape as he sits down with Aaron St Clair and Jonathan Rendon from Omni Consulting Solutions to discuss how cutting-edge AI technology is revolutionizing procurement processes. Dive into VisionX, their innovative platform designed to automate and dramatically streamline government and private-sector procurement tasks—reducing time spent from days to minutes. In this insightful conversation, discover: How VisionX uses explainable AI and advanced automation to manage high-volume proposal evaluations rapidly and accurately. Real-world case studies demonstrating significant efficiency gains in compliance checks, evaluation assignments, and procurement workflows. Discussions on how explainable AI can reduce procurement delays, including handling protests effectively. The evolution of VisionX and its adaptability for both high-volume proposals and traditional federal procurement. Ideal for procurement professionals, government contractors, and tech enthusiasts looking to understand the future of AI in procurement. #govcon #ai #visionx #ProcurementAutomation #federalcontracting #innovation #govtech #explainableai #govtech #efficiency #RobotsAndRedTape #technologypodcast #innovation #AIProcurement #contractmanagement #OmniConsulting #governmentinnovation #governmentefficiency #aiinnovation #artificialintelligence #podcast #nextgenai #agenticai

Port congestion—it's a phrase thrown around in logistics, but what does it actually mean? In this episode of Supply Chain Secrets, hosts Caroline Weaver and Lars Jensen break down the layers of port congestion, from bottlenecks at the quay to inefficiencies in inland infrastructure. They discuss how factors like crane productivity, labor dynamics, chassis availability, and even customs staffing shortages all play a role.Plus, they unpack the latest industry shakeups, including the Hutchison terminal sale in China and the ongoing Red Sea crisis. Tune in to understand where the real choke points are and what businesses can do to mitigate disruption.

Karl and Erum sit down with Veronica Breckenridge, founder of First Bight Ventures, to discuss how the convergence of biology and technology is driving the biggest innovations of the 21st century. Drawing from her deep tech background, including her time at Apple, Veronica explores rapid advancements in genome sequencing, AI-driven biotech, and the vast untapped potential of microbes, emphasizing why now is the time to harness biology to tackle global challenges in health, nutrition, sustainability, and manufacturing. From synthetic biology startups to biomanufacturing at scale, this episode delves into the future of biomaterials and how venture capital can accelerate the next wave of biotech breakthroughs—making it a must-listen for anyone interested in scaling biotech innovations, investing in the bioeconomy, or exploring the intersection of computation and biology.Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and interview the leaders and influencers changing the world by growing everything. Biology is the oldest technology. And it can be engineered. What are we growing?Learn more at ⁠⁠⁠⁠⁠www.messaginglab.com/groweverything⁠⁠⁠⁠⁠ Chapters:00:00:00 - How Biology is Moving Faster Than Moore's Law00:00:17 - Checking In from Panama00:00:42 - Exploring Panama City's Biotech Potential00:01:26 - A Futuristic Robot Massage Experience00:02:11 - Reflecting on International Women's Day00:02:40 - Networking with Women in Biotech in Brooklyn00:05:27 - Inside the Merck Digital Sciences Studio Event00:06:19 - Breakthroughs Shaping the Future of Drug Development00:07:15 - The Biggest Hurdles for Startups in Pharma00:16:20 - A Deep Dive with Veronica Breckenridge00:30:41 - Why Manufacturability Matters in Biotech00:31:28 - The Role of Research and Pilot Facilities00:33:48 - How Scientific Founders Can Accelerate Their Business00:35:25 - Houston's Rising Status in Biomanufacturing00:39:12 - The Power of Collaboration and Mentorship00:43:04 - What It Takes to Scale and Commercialize Biotech Innovations00:48:12 - First Bight Ventures' Approach to Investing in the Bioeconomy00:51:26 - Building the Biotech Ecosystem & What's Coming Next00:54:28 - Final Advice for Startups Looking to ScaleLinks and Resources:First Bight Ventures  Biowell - nonprofit acceleratorThe Machine That Changed the World (book)Cemvita (company)  / Grow Everything Episode with CEO Moji KarimiIndustrial Microbes (company) / Grow Everything Episode with CEO Noah HelmanTopics Covered: biomanufacturing, biotech startups, biotech investing, biomanufacturing pilot plants, Houston economic development, synbioHave a question or comment? Message us here:Text or Call (804) 505-5553 ⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠  / ⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠Grow Everything⁠⁠⁠Email: groweverything@messaginglab.comMusic by: Nihilore

AI Automation Agents are transforming revenue cycle management by eliminating manual tasks like prior authorizations, eligibility checks, and claims follow-ups. Unlike traditional bots, AI-driven agents can adapt to system changes in real time, ensuring seamless automation without constant reprogramming.

HackerPulse builds dashboards of information pulled from engineering tools to show how and where engineers spend their time. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In Episode 148 of the Best Coach Ever podcast, we're getting real about the mistakes that keep coaches stuck when they're trying to scale to $10K, $20K, or even $50K+ months. Scaling isn't just about working harder or slapping together new offers—it's about making the right strategic moves at the right time. And let's be honest, a lot of coaches are making moves that are actually holding them back.We break down four major mistakes that keep businesses stuck: expanding a product suite too soon, constantly launching new offers without strategy, chasing shiny new marketing tactics instead of sticking to what works, and ignoring the real bottlenecks in their business. If you've been throwing spaghetti at the wall, feeling overwhelmed by slow growth, or struggling to convert at higher price points, this episode is packed with insights to help you course-correct and finally scale with confidence.If you're serious about breaking out of your current revenue plateau and scaling in a way that doesn't burn you out, this episode is a must-listen. Get ready for some tough love and strategic shifts that will set your business up for real, sustainable growth.In this episode, we cover:1) The Perfectionism Trap & Blanket Dome Setup [0:00 - 6:30]-Why perfectionism will kill your progress (and why this episode almost didn't happen).-A behind-the-scenes look at recording under a “blanket dome” for better podcast acoustics.2) Mistake #1: Expanding Your Product Suite Too Soon [6:31 - 16:50]-Why adding more offers before you've mastered your core offer leads to more problems, not more money.-The difference between scaling out of overflow vs. desperation.3) Mistake #2: Offering Too Many Things, Too Soon [16:51 - 26:40]-How constantly launching new offers creates confusion for your audience and dilutes your brand.-Why being known for one primary solution first is the fastest path to growth.4) Mistake #3: Shiny Object Syndrome – Jumping from Strategy to Strategy [26:41 - 39:30]-How constantly switching tactics and not giving them time to work is keeping you stuck.-Why most business strategies need at least 30-90 days of consistent effort to see real results.5) Mistake #4: Ignoring the Bottlenecks in Your Business [39:31 - End]-How to identify the “dams” and leaks in your business that are preventing growth.-Why fixing bottlenecks (instead of chasing new strategies) is the key to breaking through income ceilings.Connect with Lynette:Instagram: https://www.instagram.com/lynettemarieh Fitness Coaching Business Accelerator: https://fcbaprogram.comThe Wellness CEO Mastermind: https://wcmprogram.com

Last year, South Australia convened a Royal Commission into Family Violence amid concern about a spike in domestic violence related assaults and deaths across the country. It's estimated that in Australia, one woman is killed by an intimate partner every 11 days. And across Australia, just over 1 in 4 women experience partner violence or abuse, while for men it's 1 in 7. In this episode of the Too Hard Basket, we explore just what evidence the Royal Commission is uncovering about how public officials respond to this violence, and the effectiveness of the institutions meant to protect victims.

Your business can only grow as fast as your systems allow. James and guest Lloyd Thompson discuss bottlenecks and business process optimization.

This week on No Priors, Sarah sits down with Noubar Afeyan, Co-founder and CEO of Flagship Pioneering, the biotech firm behind groundbreaking companies like Moderna. They explore how Flagship creates the conditions for scientific breakthroughs, tackles regulatory uncertainty, and pushes the boundaries of discovery. Noubar shares insights on AI's role in healthcare, the challenges of bringing new therapies to market, and lessons learned from past pandemics. He also discusses Flagship's platform approach to biotech innovation and introduces the idea of polyintelligence. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @NoubarAfeyan Show Notes:  0:00 Introduction 0:48 Founding Flagship  5:51 Fostering environments for emergence 11:17 Expanding into new frontiers 14:26 Developing technology amid regulatory uncertainty and risk 19:12 How Flagship has evolved 22:47 AI applications in healthcare 27:30 Bottlenecks in bringing new therapies to market 32:20 Lessons for the next pandemic 34:11 Building a platform 38:10 Polyintelligence 

In this solo episode, I dive deep into the recurring marketing and sales challenges that plague seven-figure businesses trying to scale higher. Drawing from my personal experience and conversations with numerous founders, I explore how scattered marketing data, unclear ROI, and founder bottlenecks can stall growth.Key areas covered:✅ The challenge of fragmented marketing data across multiple platforms✅ High customer acquisition costs in premium markets✅ The importance of proper lead management and follow-up✅ Breaking free from the founder bottleneck✅ Implementing practical solutions for sustainable growthActionable Insights:Unify your marketing data tracking systemsImplement a 10-minute response rule for leadsFocus on existing customer retention before aggressive acquisitionCreate clear systems to delegate critical decisionsStart with one key improvement rather than trying to fix everything at onceKey Quote:"Pick your biggest pain point...and focus on that first. Remember, it's all about directionally correct incremental progress."

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The company operates a 24/7 public ride-hail service and provides over 150,000 trips each week across San Francisco, Los Angeles, Phoenix, and Austin, making mobility more accessible, sustainable, and safer for everyone.In this week's episode of Unsupervised Learning, we dive deep into the frontier where AI meets hardware — and there's no better guide than Vincent Vanhoucke, Distinguished Engineer at Waymo and former Head of Robotics at DeepMind. [0:00] Intro[0:50] Waymo's Technological Evolution[2:40] The Role of LLMs in Autonomous Driving[6:02] Vincent's Journey to Waymo[9:17] Challenges in Autonomous Driving[11:58] Simulation and World Models[27:44] Future Milestones and Expansion[30:10] Broader Robotics and AI[36:12] Future of General Robotics Models[38:14] Hardware vs. Software Approaches in Robotics[40:19] Challenges in Robotic Data Acquisition[40:38] Simulation vs. Real-World Data in Robotics[43:02] Human-Robot Interaction for Data Collection[45:03] Advancements in Multimodal Models[47:08] Unanswered Questions in Robotics[52:02] Reasoning Capabilities in AI[54:57] Future of Robotics and AI[1:00:51] Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

SummaryIn this conversation, Christine Jewell, an executive coach and founder of the Momentum Company, shares her journey from building multiple successful businesses to realizing the importance of slowing down and being present. She discusses the common bottlenecks faced by high-performing individuals, particularly in their personal and professional relationships, and emphasizes the need for introspection and alignment with one's values. Christine also highlights the significance of faith in her coaching practice, advocating for a partnership with God in business decisions. The discussion culminates in practical advice on how to identify areas to slow down and the importance of energy management over time management.Listeners can connect with Christine Jewell through the following platforms:Podcast: Breaking Chains Podcast – Tune in for powerful conversations on leadership, personal growth, and faith-based principles.Website: The Momentum Company – Learn more about her executive coaching, leadership programs, and upcoming events.Instagram: @thechristinejewell – Follow her for daily insights, leadership wisdom, and personal updates.Book: Drop the Armor – Available on Amazon, Barnes & Noble, and Audible with actionable exercises after each chapter.Free Resource: Download the first chapters of Drop the Armor for free here to get a taste of her transformative approach.Email: Contact Christine directly through her website's contact form for coaching inquiries or collaborations.#1 a FREE GIFT for your peeps! Free Guided Presence Practice: PRESENCE is POWER https://www.thechristinejewell.com/Guided-RecalibrationBook Order Link! "Drop the Armor" Written for the ultra-high achiever longing to find a way to bridge the gap between earthly pursuits and true fulfillment only comes by living according to faith. Order direct + get over $200 in Bonus Resources https://www.dropthearmorbook.comChapters00:00 The Journey of Christine Jewell02:05 Presence is Power04:40 Bottlenecks in Business and Relationships07:46 Slowing Down to Speed Up12:52 Identifying Areas to Slow Down20:04 Faith and Business24:42 Christine's Daily Flow32:27 Distinguishing Between Slowing Down and Laziness

The future of data infrastructure. We cover the explosion in compute demand, the petabytes of untapped enterprise data, energy-efficient GPUs, DeepSeek, the $500B Stargate project, and how AI is transforming data processing. Craig Dunham is CEO of Voltron Data, a company at the forefront of accelerating data processing for AI, analytics, and enterprise-scale workloads. Voltron provides the infrastructure necessary to handle enormous amounts of data — transforming bottlenecks into breakthroughs. By championing open-source frameworks like Apache Arrow, Voltron is building the connective tissue that allows businesses to process data at orders-of-magnitude speed and efficiency, reshaping industries from finance to healthcare to national security — partnering with the likes of Snowflake and Meta. Voltron have established themselves as a key part of the AI infrastructure stack and have raised a total of $110M from the likes of Coatue, LightSpeed, Google Ventures and BlackRock. With a deep background in scaling data infrastructure businesses, Craig is Voltron’s CEO. Before Voltron Data, Craig was the CEO of Lumar, a leading SaaS technical SEO platform. Prior to that, he held significant roles including General Manager at Guild Education and Seismic, where he led the integration of Seismic’s acquisition of The Savo Group and drove go-to-market strategies in the financial services sector. Craig began his career in investment banking with Citi and Lehman Brothers before transitioning into technology. He holds an MBA from Northwestern University’s Kellogg School of Management Sign up for new podcasts and our newsletter, and email me on danieldarling@focal.vcSee omnystudio.com/listener for privacy information.

Jonathan Ross is the Founder & CEO of Groq, the creator of the world's  first Language Processing Unit (LPUTM). Prior to Groq, Jonathan began  what became Google's Tensor Processing Unit (TPU) as a 20% project where he  designed and implemented the core elements of the first-generation TPU chip.  Jonathan next joined Google X's Rapid Eval Team, the initial stage of the famed  “Moonshots Factory”, where he devised and incubated new Bets (Units) for Google's  parent company, Alphabet. In Today's Episode We Discuss: 04:20 Interview with Jonathan Ross Begins 04:59 Scaling Laws and AI Model Training 06:22 Synthetic Data and Model Efficiency 12:01 Inference vs. Training Costs: Why NVIDIA Loses Inference 17:06 The Future of AI Inference: Efficiency and Cost 18:15 Chip Supply and Scaling Concerns 20:57 Energy Efficiency in AI Computation 25:40 Why Most Dollars Into Datacenters Will Be Lost 31:05 Meta, Google, and Microsoft's Data Center Investments 41:11 Distribution of Value in the AI Economy 42:10 Stages of Startup Success 43:17 The AI Investment Bubble 45:00 The Keynesian Beauty Contest in VC 48:40 NVIDIA's Role in the AI Ecosystem 53:39 China's AI Strategy and Global Implications 57:51 Europe's Potential in the AI Revolution 01:10:14 Future Predictions and AI's Impact on Society  

Resolving Business Bottlenecks: Insights from Joshua MongeIn episode 61 of the Insurance Business Babes podcast, Kathe Kline interviewsJoshua Monge, a fractional Chief Operating Officer (COO), who shares his expertise on improving operations within small businesses, particularly insurance agencies. This blog post delves into key points from their discussion, providing valuable insights for business owners looking to optimize their operations.Monge starts by highlighting the importance of identifying bottlenecks within a business. He compares the flow of business operations to a river, where blockages can significantly impede progress. Surprisingly, in many small businesses, the owner is often the bottleneck. Monge recommends conducting a thorough review of business workflows to locate and address these problem areas. By doing so, small business owners can reclaim valuable time and improve operational efficiency.A recurring theme in the conversation is the necessity of delegation and leveraging technology. As Monge points out, “if you have a business and you don't have an assistant, then you are the assistant.” Effective delegation ensures that business owners can focus on higher-level tasks. For those hesitant to hire full-time help, Monge suggests leveraging AI tools for administrative tasks, email management, and workflow automation. These technologies can be instrumental in reducing workload and improving efficiency.Monge emphasizes the critical role of documentation in business operations. Detailed documentation of processes and workflows not only streamlines current operations but also adds value to the business. Documented processes can be copyrighted, transforming them into intellectual property (IP). This IP can significantly enhance the business's value during evaluations or when planning an exit strategy.Another essential component discussed is the hiring process. Monge advises business owners to hire individuals whose skills complement their own. For instance, if the owner is a big-picture thinker, hiring a detail-oriented assistant can create a balanced team. Clear job descriptions and documented workflows facilitate smoother onboarding and help new hires become productive more quickly.The discussion also underscores the importance of planning for unforeseen disruptions. Monge suggests maintaining backups of key systems and understanding the potential implications if a critical tool or employee is suddenly unavailable. Having a contingency plan ensures business continuity even during unexpected challenges.Joshua Monge's insights offer a roadmap for small business owners, particularly in the insurance sector, to enhance their operations. By addressing bottlenecks, embracing delegation and technology, rigorously documenting processes, hiring strategically, and preparing for the unexpected, business owners can achieve greater efficiency and resilience.For those interested in learning more about operational improvements or seeking fractional COO services, Monge can be reached through his website, thinkadaptbuild.com, or on LinkedIn.These insights provide actionable steps that any insurance business owner can implement to streamline their operations and promote sustainable growth. Tune into the Insurance Business Babes podcast for more expert advice and industry insights.This episode is sponsored by CertifiedMedicareAgents.com

Our guest on this week's episode is John (Jay) Rogers, CEO and co-founder of Haddy. There has been a push in the past few years to do more manufacturing here at home. One of the key technologies that is enabling more domestic production is digital manufacturing. That's where Haddy comes in. Haddy is the world's first 3D printing furniture manufacturer powered by AI and advanced robotic technology. Jay Rogers talks with us about this unique approach to manufacturing. A new report from Colliers, the industrial real estate firm, reveals data on fourth quarter warehouse construction. The report shows that renters of warehouse space should begin to see some relief after the seriously steep rent hikes they're seen in recent years. The American Transportation Research Institute (ATRI) released its annual list of the nation's top truck bottlenecks. This is the group's 14th annual report on this issue. Its goal is not only to identify the top congested freight markets, but also to help local, state, and federal governments target funding to areas most in need of relief. The full report shares ways to reduce chokepoints, lower emissions, and drive economic growth. Supply Chain Xchange  also offers a podcast series called Supply Chain in the Fast Lane.  It is co-produced with the Council of Supply Chain Management Professionals. A series of ten episodes is now available on the "State of Logistics." The episodes provide in-depth looks into the current states of key transportation modes, such as trucking, rail, air, and ocean. It also looks at inventory management, 3PLs and more.  All ten episodes are available to stream now. Go to your favorite podcast platform to subscribe and to listen to past and future episodes. The podcast is also available at www.thescxchange.com.Articles and resources mentioned in this episode:HaddyColliers reports that warehouse construction rates return to pre-pandemic levelsATRI releases the annual list of the nation's top truck bottlenecksVisit Supply Chain XchangeListen to CSCMP and Supply Chain Xchange's Supply Chain in the Fast Lane podcastSend feedback about this podcast to podcast@agilebme.comPodcast is sponsored by: Zebra Robotics AutomationOther linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITYTop 10 Supply

Irene Chen and Matthew Grenby are the co-founders of Parker Thatch, a luxury handbag and accessories brand they bootstrapped to 8-figures over the course of 20 years. Matt's expertise spans tech, design, and marketing, while Irene brings deep fashion industry knowledge from working with powerhouse brands like Donna Karan and Calvin Klein.In this episode of DTC Pod, Matt and Irene share how they navigated the shift from an e-stationery startup to eventually finding product-market fit with their signature luxury bags. They discuss key lessons learned in bootstrapping—the importance of market timing, how to manage inventory risks, and why flexibility and systems are critical when growing a brand.Interact with other DTC experts and access our monthly fireside chats with industry leaders on DTC Pod Slack.On this episode of DTC Pod, we cover:1. Founding and Evolution of Parker Thatch2. Initial Business Concepts and Pivots3. Strategies for Managing and Allocating Inventory4. Importance of Flexibility in Business Operations5. Bootstrapping and Capital Allocation6. Building Systems for Scalability7. Marketing and Demand Generation Strategies8. Community and Customer EngagementTimestamps00:00 Matt and Irene's backgrounds before Parker Thatch 06:55 Starting an e-stationery business in 200007:43 Pivoting to selling physical stationery and home goods 9:00 Lessons on market timing and pivoting when starting a business11:51 Changing company name from iomoi to Parker Thatch13:52 Creating Parker Thatch's debut handbag18:19 Bootstrapping, capital allocation, inventory decisions22:08 Why early business success depends on flexibility and testing25:53 Introducing leather bags and streamlining production29:10 Why small businesses fail without systems32:29 Shifting to systems thinking to enable business growth35:07 Marketing strategies to drive customer demand37:01 Building community and brand identity around "functional luxury"42:34 Relationship dynamics as husband and wife co-founders45:55 Key focuses for 2025 and beyond with PTTV 47:48 Where to find and connect with Parker ThatchShow notes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more.  Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• ​​​​#243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here.Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTok  Irene Chen and Matthew Grenby -  Co-Founders of Parker ThatchBlaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic

Get Seamless Daily Sales - your brand new 3 day course worth $697 for FREE https://www.camille-plews.com/seamless-daily-sales     2 Ways to be in CASA World: CASAcademy: Join the only membership on the internet that gives hands-on support for your life-changing, globally impactful business for just $77 per month (lock in this low rate now). > Join us here

Breaking Free from Operational Bottlenecks, TELCLOUD POTS & Shots Podcast, When you go into the POTS line replacement space, you have to deliver the same functionality for these legacy equipment “The interesting thing about a POTS line is even if the building that the POTS line was in, whether commercial or residential if the power went out, the power was still delivered over the POTS line,” says Jake Jacoby of TELCLOUD. “The power comes from the central office of the telecommunication company. When you go into the POTS line replacement space, you have to deliver the same functionality for  legacy equipment.” Breaking Free from Operational Bottlenecks This week, Doug and Jake discuss how relying on outdated POTS lines can hinder operational efficiency. Frequent failures and limited capabilities mean businesses spend more time troubleshooting than innovating. The older they get, the higher the cost—whether it's POTS lines or fine liquor. Jake highlights how resellers can use modern solutions that eliminate these inefficiencies and future-proof operations. We look at What operational challenges do businesses typically face when sticking with aging POTS lines? How to improve operational efficiency for businesses. Communication with customers: What are the key message resellers can share with customers about the operational advantages of upgrading their POTS systems. Join us in Part 4 of our ongoing podcast series as we blend industry expertise with a splash of fun - because, like a fine liquor, great conversations are meant to be savored. Visit www.telcloud.com  About TELCLOUD TELCLOUD, the global leader in white-label POTS line replacement, enables channel partners worldwide to grow their businesses with our customizable and scalable Communications Platform as a Service (CPaaS). Exclusively designed for telecommunications providers, resellers, and MSPs, we offer a fully supported backend that seamlessly integrates with existing business infrastructures across global markets. Our no single-point-of-failure approach ensures 99.999% reliability, utilizing a unique redundancy in connectivity, power, and global networks. With a simple setup, streamlined deployment, and wholesale pricing, partners can quickly realize new multiple recurring revenue opportunities, gaining exceptional business value while providing cost-effective savings to their customers.

Send us a textIn the second part of our conversation with Andrea Gough, Senior Director for Advanced Instruments' Solentim Portfolio, we'll explore how AI and machine learning have, in recent years, begun to transform various aspects of biotechnology, including cell line development (CLD). Andrea shares insights into how these cutting-edge technologies are being applied to the early stages of clone selection.AI's capability to analyze images and classify clone viability is another breakthrough. Feeding thousands of images into AI systems allows for efficient and accurate decision-making, reducing the workload on scientists.Here are three key takeaways from our conversation:Leverage AI and Machine Learning: Integrate AI to streamline clone selection and optimize cell line development processes. AI can identify key phenotypic identifiers and predict the best clones, driving efficiency and productivity.Diversify Expression Systems: While CHO cells dominate the protein therapy space, exploring alternative systems like HEK cells, MSCs, IPSCs, and even insect cells can offer unique benefits and improve gene therapy productions.Maintain Comprehensive Documentation: Ensure rigorous tracking and documentation of all processes. From certificates of analysis to raw image data, having meticulous records will safeguard your development process and aid compliance with regulatory standards.Tune in to the full episode for more insights on overcoming challenges in cell line development and tips for setting up successful bioprocessing workflows!Connect with Andrea GoughLinkedIn: www.linkedin.com/in/andrea-gough-72915282Advanced Instruments: www.aicompanies.comNext Steps:Wondering how to develop cell and gene therapies with peace of mind? Schedule your free assessment to propel your success: https://bruehlmann-consulting.com/assessmentDevelop biologics better, faster, at a fraction of the cost with our Fractional CTO services. Curious? DM us at hello@bruehlmann-consulting.com

Send us a textCell line development (CLD) is a cornerstone of biologics production. This intricate process involves establishing a cell line capable of consistently producing a desired product, such as a therapeutic protein. While advancing science has refined numerous aspects of CLD, bottlenecks still exist, perpetuating challenges for scientists and industry professionals.In this episode of the Smart Biotech Scientist Podcast, Andrea Gough, Senior Director for Advanced Instruments' Solentim Portfolio, shared her extensive insights into the critical bottlenecks and innovative breakthroughs in cell line development.Here are three key takeaways from this episode:Understanding the DNA Integration Complexity: Andrea discusses the pros and cons of random integration, highlighting how it can become a bottleneck. She emphasizes the importance of choosing the right methodology from the very beginning to avoid the "needle in a haystack" scenario when searching for a good clone.Modern Tools for Ensuring Clonality: Technologies like imaging devices and single-cell dispensers have revolutionized the process. Learn about the shift from traditional limiting dilution methods to more sophisticated and efficient tools that provide better evidence for regulatory approval.Innovative Approaches to Accelerate Development: Discover how semi-targeted integration methods like transposon technology can significantly shorten timelines and improve clone stability. Andrea also explores the use of bulk pools to generate initial products quickly for pre-clinical and initial clinical studies.Developing cell lines is a complex process, but with advanced tools and innovative approaches, challenges can become opportunities. As biotechnology progresses, the ability to stay informed and flexible will remain essential for success.Catch the full episode to gain deeper insights and practical advice for advancing your cell line development projects!Join us for the next episode featuring Andrea Gough, as we explore how AI and machine learning are being integrated into the early stages of clone selection. This groundbreaking approach is transforming key areas of biotechnology, including cell line development (CLD).Connect with Andrea Gough:LinkedIn: www.linkedin.com/in/andrea-gough-72915282Advanced Instruments: www.aicompanies.comNext Steps:Wondering how to develop cell and gene therapies with peace of mind? Schedule your free assessment to propel your success: https://bruehlmann-consulting.com/assessmentDevelop biologics better, faster, at a fraction of the cost with our Fractional CTO services. Curious? DM us at hello@bruehlmann-consulting.com

Episode Title:Mastering the Art of Agency Growth: Lessons from Brad FerrisEpisode Summary:In this episode of "The Creative Agency Success Show," hosts engage with Brad Ferris, a seasoned expert with over 20 years in the marketing and creative agency space. The discussion centers on scaling agency businesses, highlighting the importance of strategic hiring, financial planning, and maintaining cash reserves. Brad shares insights on the differences between consulting and coaching, emphasizing the empowerment of agency owners to find their own solutions. Success stories and challenges are discussed, offering practical advice on navigating growth stages and making informed decisions. The episode concludes with actionable steps for agency owners to achieve sustainable growth.Episode Notes:"I truly believe that a lot of visionaries and entrepreneurs think they can outsell anything, but they need to be intentional and build up that cash reserve to dive into the next level." -Brad FarrisThe finer details of this episode:Focus on strategies for agency owners to scale their businesses.Discussion of the challenges faced by agency owners during growth.Importance of hiring the right people for agency success.Distinction between consulting and coaching in the agency context.The role of cash reserves in supporting growth initiatives.Insights on navigating different stages of agency growth.The significance of revisiting goals and aspirations regularly.Addressing conservative mindsets and encouraging calculated risks.The value of external perspectives in identifying areas for improvement.Episode resources:●       Summit Virtual CFO by Anders website: https://www.summitcpa.net/●       Love our content? Sign up for our newsletter: https://www.summitcpa.net/summit-newsletter●       Digital Dollars and Cents: A Virtual CFO's Playbook to help Digital Companies Create a Financial Roadmap to Success, is now an audio book! Download it here: https://vcfo.summitcpa.net/ddc Timestamps:Introduction to the Show (00:00:00)  Overview of "The Creative Agency Success Show" and its focus on helping agency owners. Discussion on Growth Strategies (00:00:15)  Brad Ferris shares insights on achieving the next stage of agency growth. Importance of Coaching (00:00:40)  Speaker 3 highlights Brad's extensive experience and the value of coaching for agencies. Hiring Considerations for Growth (00:01:21)  Discussion on when to hire and which roles to prioritize for agency success. Consulting vs. Coaching (00:02:32)  Brad explains the differences between consulting and coaching in agency settings. Success Story: Navigating Crisis (00:03:35)  Brad shares a client's turnaround story after a significant revenue drop. Engagement Structure (00:05:58)  Brad describes his coaching engagement model and its impact on client awareness. Contingency Planning (00:07:15)  Importance of building contingency time into a CEO's schedule to handle crises. Creative Outlets for Agency Owners (00:09:03)  Helping clients find creative outlets outside work to maintain passion and energy. Hiring Key Team Members (00:09:59)  Discussion on the importance of hiring for growth and the challenges faced. Bottlenecks in Growth (00:10:40)  Identifying the owner as a bottleneck and the need to delegate responsibilities. Sales Role Transition (00:12:02)  The importance of transitioning sales responsibilities as the agency grows. Building a Unified System (00:15:39)  Challenges of managing multiple systems as agencies grow towards $10 million. Strategic Choices for Growth (00:17:22)  Making critical decisions about market focus versus expanding service offerings. Value of External Insights (00:17:58)  The importance of bringing in external voices for fresh perspectives on growth. Financial Preparedness (00:18:42)  The necessity of maintaining cash reserves for new ventures and opportunities. Understanding Cash Reserves (00:18:59)  The importance of maintaining cash reserves for agency growth and navigating challenges. Accelerating Growth Through Cash (00:19:23)  How cash allows for faster growth and opportunities, including acquisitions. Risk and Cash in Business (00:19:58)  Comparison of aggressive business strategies based on available cash. Lessons from the Recession (00:20:33)  Insights on how cash availability during a recession can lead to profitable opportunities. Cash and Client Stability (00:20:49)  Clients with cash reserves can make better decisions and adapt to market changes. Hiring for Growth (00:21:55)  Making key hires can accelerate growth, even when initial profitability is uncertain. Opportunities During Tough Times (00:22:40)  Companies with cash can seize opportunities to hire talent during downturns. Evaluating Conservative Cash Strategies (00:23:20)  Discussing the need for companies to evaluate their conservative cash holdings. Setting Business Goals (00:24:18)  The importance of defining long-term goals to guide financial decisions. The Value of Options (00:26:05)  Understanding how hiring can create options for business owners. Reducing Owner Involvement (00:27:18)  Strategies for owners to reduce their workload while growing the business. The Importance of Continuous Goal Assessment (00:25:02)  Regularly revisiting business goals to adapt to changing circumstances. Card Games and Business (00:28:59)  The role of card games in personal and family bonding, reflecting on competitiveness. Closing Thoughts and Resources (00:32:09)  Brad Ferris shares resources for agency owners to assess growth phases.

Send us a textDive into the intricate world of British Columbia's salmon with our latest episode featuring Jamieson Atkinson, Program Manager at the Aquatic Research and Restoration Centre, British Columbia Conservation Foundation. Jamieson shares cutting-edge research into the "survival bottlenecks" that are keeping salmon stocks dangerously low. Learn how PIT tags and micro-fishing are helping scientists track juvenile salmon and uncover the critical challenges the fish are facing in the open ocean.But the story doesn't stop there. Jamieson explains how human interventions, like hatchery-raised salmon, can complicate wild populations and why long-standing log booms in coastal estuaries may be doing more harm than we realize destroying eelgrass, creating anoxic dead zones, and providing easy hunting grounds for seals. Whether you're an angler, a scientist, or just passionate about the ocean, join us for this deep dive into salmon conservation.

Dylan Patel, founder of SemiAnalysis and one of my go-to experts on semiconductors and data center infrastructure joins me to discuss AI in 2025. Several key themes emerged about where AI might be headed in 2025:1/ Big Tech's accelerating CapEx and market adjustmentsThe hyperscalers are racing ahead in capital expenditure, with Microsoft's annual outlay likely to surpass $80 billion (up from around $15 billion just five years ago). By mid-decade, total annual investments in AI-driven data centers could climb from around $150–200 billion today to $400–500 billion. While these expansions power more advanced models and services, such rapid spending raises questions for investors. Are shareholders ready for ongoing, multi-fold increases in data center build-outs?2/ The competitive landscape and new infrastructure playersThe expected explosion in AI workloads is drawing in a wave of new specialized GPU cloud providers—names like CoreWeave, Niveus, Crusoe—each gunning to become the next vital utility layer of AI compute. Unlike the hyperscalers, these players tap different pools of capital, including real-estate-like finance and private credit, enabling them to ramp up aggressively. This dynamic threatens the established order and could squeeze margins as competition heats up. The market is starting to understand that.3/ The semiconductor supply chain isn't the only bottleneckWe often talk about GPU shortages, but the real sticking point is broader infrastructural complexity. Yes, Nvidia and TSMC can ramp up chip supply. But even if you have enough high-end silicon, you still need power infrastructure and grid connectivity. Building multi-gigawatt data centers in the US—each the size of a utility-scale power plant—is now firmly on the agenda. In some states, data centers already consume 30% of the grid's electricity. By 2027, AI data centers alone could account for 10% or more of total US electricity consumption, straining America's aging infrastructure.4/ Commoditization of models and margin pressureA year ago, advanced language models were scarce and expensive. Today, open-source variants like Llama 3.1 are driving commoditization at speed, slicing away the profit margins of plain-vanilla model-serving. If your model doesn't outperform the best open source, you're forced to compete on price—and that's a race to the bottom. Currently, only a handful of players (OpenAI and Anthropic among them) enjoy meaningful margins. As models proliferate, value will increasingly flow to those offering distinctive tools, integrating closely into enterprise workflows and locking in switching costs.5/ Into 2025: exponential curves and new market normsDespite these challenges—soaring costs, stalled infrastructure build-outs, margin erosion—Dylan is confident that exponential scaling will continue. The sector's appetite for GPUs, specialized chips and next-gen data centers appears insatiable. We could easily see record-breaking fundraising rounds north of $10 billion for private AI ventures—funded by sovereign wealth funds and other capital pools that have barely scratched the surface of their capacity to invest in AI infrastructure. There's also a very tangible productivity angle. AI coding assistants continue to reduce the cost of software development. Some software companies could be looking at 20–30% staff reductions in these technical teams as high-level coding becomes automated. This shift, still in its early days, will have profound downstream effects on the entire software ecosystem.Find us:Exponential ViewSemiAnalysis

In this episode of Medsider Radio, we sat down with Gabriel Sanchez, co-founder and CEO of Enspectra Health. The company's flagship VIO platform is the first FDA-cleared imaging modality for dermatology in over 25 years. Gabriel holds a B.S. in mechanical engineering from MIT and an M.S. and Ph.D. from Stanford University, where he also served as an instructor in bioengineering and launched Enspectra to commercialize his groundbreaking research. VIO enables high-resolution, noninvasive imaging for skin cancer detection and health biometrics.In this interview, Gabriel talks about his transition from academia to startups, how he narrowed down his idea to meet a pressing need in healthcare, the importance of speaking FDA's language—or finding someone who does—and how he balances dilutive and non-dilutive funding. Before we dive into the discussion, I wanted to mention a few things:First, if you're into learning from medical device and health technology founders and CEOs, and want to know when new interviews are live, head over to Medsider.com and sign up for our free newsletter.Second, if you want to peek behind the curtain of the world's most successful startups, you should consider a Medsider premium membership. You'll learn the strategies and tactics that founders and CEOs use to build and grow companies like Silk Road Medical, AliveCor, Shockwave Medical, and hundreds more!We recently introduced some fantastic additions exclusively for Medsider premium members, including playbooks, which are curated collections of our top Medsider interviews on key topics like capital fundraising and risk mitigation, and 3 packages that will help you make use of our database of 750+ lifescience investors more efficiently for your fundraise and help you discover your next medical device or health technology investor!In addition to the entire back catalog of Medsider interviews over the past decade, premium members also get a copy of every volume of Medsider Mentors at no additional cost, including the latest Medsider Mentors Volume VII. If you're interested, go to medsider.com/subscribe to learn more.Lastly, if you'd rather read than listen, here's a link to the full interview with Gabriel Sanchez. 

२०२४ में पुलियाबाज़ी में कई नए प्रयास हुए। सबस्टैक और नयी वेबसाइट। ‘टिप्पणी' में हमने हिंदी में लिखना भी शुरू किया। अब श्रोताओं को भी इसमें अपनी टिप्पणीयाँ जोड़ने का निमंत्रण दिया है। (लिंक) इन सब में साल कहाँ निकल गया पता ही नहीं चला। तो हमने सोचा थोड़ा ठहरके ये सोचा जाए कि इस साल में किन नए विचारों ने हमें उत्साहित किया। हमने क्या सोचा, क्या सीखा और क्या जाना। बस फिर क्या। हो गयी और एक पुलियाबाज़ी। आप भी सुनिए और हमें बताइये कि आप के लिए इस साल के बड़े takeways क्या थें?We discuss:* Bottlenecks and systems thinking* Three bottlenecks that India needs to solve* Bonding capital and bridging capitall* A toolkit to celebrate Republic Day appropriately.* Forgotten feminist women from the 19th century* The story of child-bride turned rebel doctorAlso, do check out our new intro on Youtube. If you like the work we do, please subscribe and share it with your friends and family.Reading List:Github Link | A Toolkit to Celebrate Republic DayBook Review | पंडिता रमाबाई: एक जीवनी. by Khyati PathakBook | Rukhmabai: The Life and Times of a Child Bride Turned Rebel-Doctor by Sudhir ChandraWebsite | Ideas of IndiaRecommendations:Skunk Works: A Personal Memoir of My Years at Lockheed by Ben R. Rich and Leo JanosThe Life and Times of Pandita Ramabai by Uma ChakravartiHumankind: A Hopeful History by Rutger BregmanRelated Puliyabaazi:Samvidhan ka MukhdaHow to celebrate Republic Day? गणतंत्र दिवस कैसे मनाया जाए?Topic-wise Puliyabaazi Playlists | LinkIf you have any questions for the guest or feedback for us, please comment here or write to us at puliyabaazi@gmail.com. If you like our work, please subscribe and share this Puliyabaazi with your friends, family and colleagues.substack: Website: https://puliyabaazi.inHosts: @saurabhchandra @pranaykotas @thescribblebeeTwitter: @puliyabaaziInstagram: https://www.instagram.com/puliyabaazi/Subscribe & listen to the podcast on iTunes, Google Podcasts, Castbox, AudioBoom, YouTube, Spotify or any other podcast app. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.puliyabaazi.in

Django Davidson hosts Jamie Isenwater, a veteran analyst, investor and entrepreneur in the consumer and luxury industry on this latest episode of the Capital Cyclists podcast. The pair revisit Django's 2017 essay, "The Death of the Brand," exploring how internet distribution undermined the economics of legacy FMCG companies , how ‘Big Brands' took for granted their ‘moats' and the specific role that physical distribution plays in the drinks industry. Jamie shares insights from his entrepreneurial venture, Socially Spirited, which leverages direct-to-consumer sales and ambassador networks to challenge traditional brand-building methods. Together, they unpack the dynamics of brand longevity, valuation shifts, and the future direction of consumer staples. Hosted on Acast. See acast.com/privacy for more information.

What if you could double your revenue without doubling your workload? It's not a fantasy—it's about identifying the real bottlenecks in your business and fixing them with a simple framework I call the Circle of Life. In this video, I'll share the secrets to working smarter, not harder, and walk you through how one entrepreneur tripled her revenue by making just a few key changes. If you're ready to scale your business without burning out, this is the video you can't afford to miss. >> Claim A Free Marketing Audit For Your Business: https://www.amply360.io/free-audit/ Watch this episode on Youtube: https://youtu.be/eb5hXfnuny4 If you enjoyed the episode, please leave a review on our podcast: https://podcasts.apple.com/sg/podcast/the-chill-momboss-build-a-profitable-business-from/id1476131353

Are you feeling stuck in your business, struggling to grow, or constantly running into roadblocks? Chances are you're dealing with a bottleneck — a hidden constraint that could be limiting your potential, draining your resources, and creating unnecessary stress. The good news is that bottlenecks can be fixed, and we're here to show you how.  Joining me today is my husband, my business partner, and the CEO of Fordify, Jake Havron, who's not just an incredible driving force in our company's growth but also someone who has a unique gift for identifying and breaking through business bottlenecks. He has worked with entrepreneurs at all stages of their journey, helping them streamline their operations, optimize their teams, and tackle those hidden obstacles that often keep us stuck in one place. Jake is here to break it all down —the sneaky ways bottlenecks creep into your business, how to identify them, and, most importantly, how to fix them. We'll dive into real-life examples (including our own at Fordify), lessons learned the hard way, and even some faith-fueled strategies for navigating the inevitable challenges that come with growth. So grab your headphones, hit play, and let's get your business flowing! In this episode: What is a bottleneck? Common bottlenecks in business Three P's Framework for identifying bottlenecks When should you hire an assistant? How to identify your first hire Tips for ensuring your new hire is a perfect fit Leading vs Managing A behind-the-scenes look at Fordify's rapid growth and how we addressed our own bottlenecks Failure as a catalyst for growth Kingdom-Minded Leadership Overcoming Personal Bottlenecks aka Limiting Beliefs Lessons from Martha Stewart A Health Coach's Transformation And so much more! Links and Resources: Previous episode: Embracing the Messy Middle | https://podcasts.apple.com/us/podcast/embracing-the-messy-middle/id1573481905?i=1000674135745  FORDIFY with Emily Ford | https://fordifymybrand.com/  Connect with Jake: Website |  http://www.jakehavron.com  Podcast | https://www.jakehavron.com/podcast/  Instagram | https://www.instagram.com/jakehavron/  YouTube | https://www.youtube.com/channel/UCxG3bKqLK_M_HZpOgiVrtng  Connect with Emily: Website |  https://meetemilyford.com    Instagram | https://www.instagram.com/itsemily     Facebook | https://www.facebook.com/itsemilymethod    YouTube | https://www.youtube.com/c/ITSEMILYFORD

Dawn Kennedy is an attorney, author, and podcaster. In 2020, her husband Mike received a roaster and some coffee beans for Christmas. After tasting his coffee, Dawn bet him he could sell it online. Not expecting much, they made a Facebook post and ended up selling eleven bags. From there, Convoy Road Coffee Roasters was born. Fast-forward to this year, Dawn and Mike have five employees and bring in six-figures of revenues annually.    - Chapters - 00:00:00 Introduction and Background 00:02:23 Coffee: The Cottage Food 00:04:40 Bottlenecks of Business 00:08:18 Transitioning from Side Hustle 00:10:10 Illicit Deals 00:12:27 Growing Organically 00:15:33 Certified Coffee Cuppers 00:19:29 Working hard or hardly working? 00:21:10 Origin of the Month 00:23:10 Overcoming Fear, Moving Forward 00:25:10 “Well, that's cute.” 00:26:58 The ROASTMASTER 00:30:04 Closing

In this podcast we cover: Techniques to help your trade bottlenecks and to help your zone bottlenecks. Specific step-by-step instructions on how to do so. If you like the Elevate Construction podcast, please subscribe for free and you'll never miss an episode.  And if you really like the Elevate Construction podcast, I'd appreciate you telling a friend (Maybe even two

In this episode, Josh Solesbury joins the show to discuss the bitcoin mining landscape, the ongoing transition to AI/HPC, and the future of the industry. We also delve into industry bottlenecks, the risks of transitioning to AI, and much more. Enjoy! — Follow Josh Solesbury: https://x.com/joshsolesbury Follow Quinn: https://x.com/qthomp Follow On The Margin: https://twitter.com/OnTheMarginPod Follow Blockworks: https://twitter.com/Blockworks_ — Polkadot is the foundation for an open and resilient web. Governed by its users, Polkadot empowers the largest DAO of 1.3M DOT holders to shape the network's future. Home to 500+ apps and chains backed by $6B in shared security, Polkadot is revolutionizing DeFi, GameFi, AI, RWAs, and more. With upgrades like Async Backing, Agile Coretime, Elastic Scaling, and JAM on the horizon, now's the time to join. Start your journey today at polkadot.com/get-started Ledger, the global leader in digital asset security, proudly sponsors On The Margin. As Bitcoin adoption grows, Ledger celebrates 10 years of securing over 20% of the world's crypto. Buy a LEDGER™ device now for true self-custody and peace of mind in securing your Bitcoin. Devices are also available in Bitcoin orange. For every device ordered in BTC Orange, we'll donate $5 to brink.dev. Buy now at Ledger.com. MANTRA is a purpose-built RWA Layer 1 blockchain capable of adherence and enforcement of real world regulatory requirements. As a permissionless chain, MANTRA empowers developers and institutions to seamlessly participate in the evolving RWA tokenization space by offering advanced tech modules, compliance mechanisms, and cross-chain interoperability. Key Features: Built using Cosmos SDK, IBC compatible, with CosmWasm supported Secured via a sovereign PoS validator set Scalable up to 10k TPS Built-in Modules, SDKs and APIs to create, trade and manage regulatory compliant RWAs Improved User Experience to onboard non-native users and institutions to Web3 Learn more: https://www.mantrachain.io/ — Timestamps: (00:00) Introduction (02:32) Josh's Background (03:52) Overview Of The Bitcoin Mining Landscape (10:44) Bitcoin Mining Cyclicality (12:55) Industry Consolidation (16:18) Differentiating Miners (22:39) Miner Transition To AI/HPC (36:44) Ads (38:53) Miner Transition To AI/HPC (Continued) (42:09) Chips & Bottlenecks (49:18) Why Don't Miners Abandon Bitcoin For AI? (59:18) CoreWeave & Core Scientific (01:04:30) Risks To Transition To AI/HPC (01:07:55) The Future Of The Mining Industry — Disclaimer: Nothing discussed on On The Margin should be considered as investment advice. Please always do your own research & speak to a financial advisor before thinking about, thinking about putting your money into these crazy markets.

Episode #323 // Last week, we launched our No Bullsh!t Leadership Hub community, and it's already firing on all cylinders. For those of you who have joined, you may have answered the initial survey questions, some of which highlight the common problems that every leader faces. One comment in particular, which was articulated beautifully by Sarah, really hit home. She said, “I think a big leadership challenge right now is capturing and communicating the nuances of what is slowing down progress, as well as utilizing data to set realistic goals.”This is a great observation, and one that I see many leaders struggling with right now. So today, I pull it apart a little. This super practical episode is loaded with specific advice that you'll want to bookmark and keep coming back to, including:10 common root causes of slow progress, unexpected delays, and missed targets;6 techniques for uncovering hidden bottlenecks; andMy foolproof 4-step process for understanding and communicating delays, and resetting expectations with your stakeholders. ————————Join our FREE No Bullsh!t Leadership Hub community on Skool. Real conversations with like-minded leaders who listen to the No Bullsh!t Leadership Podcast. Join now to access exclusive resources from Marty & Em!————————You can connect with me at:Website: https://www.yourceomentor.comFacebook: https://www.facebook.com/yourceomentorInstagram: https://www.instagram.com/yourceomentorLinkedin: https://www.linkedin.com/in/martin-moore-075b001/Youtube: https://www.youtube.com/@YourCEOMentor————————Our mission here at Your CEO Mentor is to improve the quality of leaders, globally. Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Kelly Roach Show, Kelly dives into leadership bottlenecks, highlighting how leadership often underpins most business challenges. She reveals that leaders' decisions—or indecisions—are frequently the primary obstacles to success, sharing her own experiences to underscore the importance of decisive action and clear communication. Kelly explains how many business problems stem from leadership issues and stresses that indecision can be as harmful as wrong decisions. She provides actionable insights on recognizing and addressing upper limits within a business, focusing on employee management, identifying persistent problems, and fostering growth through proactive leadership. Book a Call: Get personalized guidance and achieve your goals by booking a call with Kelly Roach: https://kellyroachcoaching.com/book-now/   Also in this episode: Continuous coaching should result in visible improvement; lack of progress may necessitate difficult decisions about team roles. Examine long-standing issues in the business as indicators of where leadership action is needed. A leader's job is predominantly to solve problems and facilitate growth, not to wait for change to occur.     Stay Connected With Kelly Roach:  Instagram | LinkedIn | Facebook | Youtube

In this podcast we cover: Why placing bottlenecks in the system might not be a bad thing. Why auto-regulating bottlenecks in a system can align work in progress. How to intentionally use them. If you like the Elevate Construction podcast, please subscribe for free and you'll never miss an episode.  And if you really like the Elevate Construction podcast, I'd appreciate you telling a friend (Maybe even two

"So that's why if you have 1 billion to invest, we're not expecting the same return as if you invest 10 million. At that time, when all this money flowed to Southeast Asia, people there thought, "Oh, we made it. Now the world is looking at us. We're finally a good ecosystem.' Everyone was ready to invest in us, but that was just the tide, right? And when the tide recedes, the first place the money will leave is Southeast Asia because it's not offering the best returns. So, the money is going out, and I don't think it's coming back anytime soon. People shouldn't expect investors to be as aggressive as they were. Lastly, great companies will always raise capital. The top ones will always find their way, so there's no issue for them. The challenge is for the ones just below them. It will be very difficult for those companies. Some will have to become much more capital-efficient, for sure." Fresh out of the studio, Arnaud Bonzom, founder of Black Mangroves and angel investor, engages in a lively discussion with our host about the entrepreneurial and venture capital landscape in Southeast Asia for 2024. Arnaud shares his insights on the evolution of late-stage funding and the resetting of expectations in the region's venture capital scene. He also offers valuable advice to founders on how to navigate the challenging fundraising climate and what success could look like for the region in the coming years. You can find Arnaud Bonzom at LinkedIn: https://www.linkedin.com/in/arnaudbonzom/ and X (formerly known as Twitter): https://x.com/ArnaudBonzom? Audio Episode Highlights: [0:44] Quote of the Day by Arnaud Bonzom #QOTD [2:09] Arnaud's Reflections on Southeast Asia Since 2018 [5:28] Southeast Asia's Economic Challenges [6:15] New Outlook for the Region's Startup Ecosystem [10:37] Lessons from India's B2B Market [14:31] How Venture Capital Works in Southeast Asia [16:52] Over-Optimism in Southeast Asia's VC Landscape [24:27] Challenges in Attracting Foreign Investments [27:38] The U.S. as the Biggest Accessible Market [30:29] Market Segmentation in Asia Pacific [35:44] IPO Slowdown and M&A Challenges [37:59] Zombie Companies in Southeast Asia [39:14] The One Thing Arnaud knows about the SEA ecosystem that very few do [41:28] Explaining DPI (Distributions to Paid-In Capital) [47:48] Timing in Venture Capital Investments [51:48] Advice for Founders in 2023-2024 [53:33] Bottlenecks in Southeast Asia's Startup Ecosystem [56:40] What does great look like for the Southeast Asia ecosystem? [58:45] Crypto Companies in Southeast Asia [60:44] Final Thoughts and Future of Southeast Asia's Startup Ecosystem [61:10] Closing Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia YouTube: https://www.youtube.com/@AnalyseAsia Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Analyse Asia Threads: https://www.threads.net/@analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

In today's video, we're diving deep into the 9 Best Roofing Software Solutions available on the market. Whether you're a contractor, architect, or homeowner, having the right tools can transform your roofing projects from tedious to seamless. We'll break down each software's unique features, pros, and cons to help you make an informed decision.But that's not all! We'll also explore how to identify and eliminate tech bottlenecks in your roofing business. Discover practical tips and strategies to streamline your operations, enhance productivity, and ensure your projects run smoothly.Learn more about Nick Peret at;  https://betterboss.io/Subscribe to our page for more home services content / resources. Book a call with us: http://calendly.com/sydneeolsen/30minOur Website: https://hookagency.com/Connect with Tim on FaceBook: https://www.facebook.com/invigoratedOur meme page: https://www.instagram.com/roofermemes/DIY Website / SEO guide: https://youtube.com/playlist?list=PLaGuWc-oMSAr_vhmT-TgFkLYyC0Uikmcf&si=8-ocEQ9G5Xw2vznR#roofing #roofingcontractor #roofingmarketing #marketing #contractor #homeservices #hvac #plumbing #contractorindustry #constructionindustry #homeservicesbusiness #businessgrowth

In this conversation, Jon Teater and Greg Litzinger (Bowhunting Fiend) discuss the preparations and strategies for the upcoming deer hunting season. They cover various topics including scouting, food availability for deer, hunting techniques, and the importance of understanding deer movement patterns. Greg shares his personal challenges with a wrist injury and how it has influenced his hunting approach, particularly focusing on mid-October strategies. The discussion also delves into the nutritional preferences of deer, the significance of acorns, and the effectiveness of different camouflage techniques for ground hunting. Greg explains hunting directly over or near beds and what locations he has had the most luck in locating deer. Greg explains why he is aggressive and what success he has had in hunting over bedding areas. Greg provides specific information on how mature deer enter bedding areas and how close he can be to bedding areas. Takeaways Preparation is key for a successful deer season. Scouting helps identify deer locations and food sources. Understanding deer movement patterns is crucial for hunting success. Nutritional preferences of deer can change based on food availability. Mid-October is a prime time for hunting deer. Ground hunting requires different strategies than tree stand hunting. Camo and concealment are essential for staying undetected. Bottlenecks and travel corridors can increase shot opportunities. Adapting to physical limitations can lead to new hunting techniques. Observation hunts can provide valuable intel on deer behavior. Social Links https://www.instagram.com/bowhunting_fiend/?hl=en https://www.youtube.com/watch?v=9-RMHGxtq-0 https://whitetaillandscapes.com/ https://www.facebook.com/whitetaillandscapes/ https://www.instagram.com/whitetail_landscapes/?hl=en Learn more about your ad choices. Visit megaphone.fm/adchoices

Jelena Vucinic: The Pitfalls of Relying on Key Individuals in Agile Teams Read the full Show Notes and search through the world's largest audio library on Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. In this episode, Jelena discusses a team of six that became heavily reliant on two highly capable individuals. Their eagerness to deliver results quickly created a bottleneck, as the two individuals began to own critical components of the project. Over time, this led to increased pressure and eventual conflict. Jelena reflects on how to manage situations where individuals may unintentionally dominate the team's workflow, and how team dynamics can be affected when key members are overburdened. Self-reflection Question: How can you identify and address over-dependence on key individuals in your team? Leave your answer in the comments, let's get this conversation started! Featured Book of the Week: Dare to Lead by Brené Brown Jelena recommends Dare to Lead by Brené Brown, a book that encourages leaders to adopt a courageous, growth-oriented mindset. The focus is on leading with empathy and vulnerability, showing up for your teams, and creating a supportive environment that helps foster collaboration and creativity. Jelena finds this book valuable as it aligns with her belief that empathetic leadership leads to better outcomes and a stronger connection within teams. About Jelena Vucinic Jelena is a self-conscious perfectionist and an everlasting optimist. She is deeply curious about the way people interact. After listening attentively, she likes to ask open questions that often help to reflect and improve collaboration. Jelena believes that every single person makes a difference, and she is dedicated to helping teams and leaders unlock their potential. You can link with Jelena Vucinic on LinkedIn.

In this conversation, Jon Teater and Greg Litzinger (Bowhunting Fiend) discuss the preparations and strategies for the upcoming deer hunting season. They cover various topics including scouting, food availability for deer, hunting techniques, and the importance of understanding deer movement patterns. Greg shares his personal challenges with a wrist injury and how it has influenced his hunting approach, particularly focusing on mid-October strategies. The discussion also delves into the nutritional preferences of deer, the significance of acorns, and the effectiveness of different camouflage techniques for ground hunting.Greg explains hunting directly over or near beds and what locations he has had the most luck in locating deer. Greg explains why he is aggressive and what success he has had in hunting over bedding areas. Greg provides specific information on how mature deer enter bedding areas and how close he can be to bedding areas.TakeawaysPreparation is key for a successful deer season.Scouting helps identify deer locations and food sources.Understanding deer movement patterns is crucial for hunting success.Nutritional preferences of deer can change based on food availability.Mid-October is a prime time for hunting deer.Ground hunting requires different strategies than tree stand hunting.Camo and concealment are essential for staying undetected.Bottlenecks and travel corridors can increase shot opportunities.Adapting to physical limitations can lead to new hunting techniques.Observation hunts can provide valuable intel on deer behavior.Social Linkshttps://www.instagram.com/bowhunting_fiend/?hl=enhttps://www.youtube.com/watch?v=9-RMHGxtq-0https://whitetaillandscapes.com/https://www.facebook.com/whitetaillandscapes/https://www.instagram.com/whitetail_landscapes/?hl=en

Eiso Kant is the Co-Founder and CTO of Poolside.ai, building next-generation AI for software engineering. Just last week, Poolside announced their $500M Series B valuing the company at $3BN. Prior to Poolside, Eiso founded Athenian, a data-enabled engineering platform. Before that, he built source{d} - the world's first company dedicated to applying AI to code and software. 1. Raising $600M to Compete in the AGI Race: What is Poolside? How does Poolside differentiate from other general-purpose LLMs? How much of Poolside's latest raise will be spent on compute? How does Eiso feel about large corporates being a large part of startup LLM provider's funding rounds?  Why did Poolside choose to only accept investment from Nvidia? Is $600M really enough to compete with the mega war chests of other LLMs? 2. The Big Questions in AI: Will scaling laws continue? Have we reached a stage of diminishing returns in model performance for LLMs? What is the biggest barrier to the continued improvement in model performance; data, algorithms or compute? To what extent will Nvidia's Blackwell chip create a step function improvement in performance? What will OpenAI's GPT5 need to have to be a gamechanger once again? 3. Compute, Chips and Cash: Does Eiso agree with Larry Ellison; “you need $100BN to play the foundation model game”? What does Eiso believe is the minimum entry price? Will we see the continuing monopoly of Nvidia? How does Eiso expect the compute landscape to evolve? Why are Amazon and Google best placed when it comes to reducing cost through their own chip manufacturing?  Does Eiso agree with David Cahn @ Sequoia, “you will never train a frontier model on the same data centre twice”?  Can the speed of data centre establishment and development keep up with the speed of foundation model development? 4. WTF Happens to The Model Layer: OpenAI and Anthropic… Does Eiso agree we are seeing foundation models become commoditised? What would Eiso do if he were Sam Altman today? Is $6.6BN really enough for OpenAI to compete against Google, Meta etc…? OpenAI at $150BN, Anthropic at $40BN and X.ai at $24BN. Which would Eiso choose to buy and why?  

Register for the FREE webinar on avoiding burnout: https://www.sunnymarymeadowcoaching.com/registration-page-60063b60-008f-48ef-b083-d9d3ec13ee3eIn this episode of the Flower Farmer Forum podcast, Liz discusses strategies to reduce burnout on flower farms, focusing on the importance of hiring help and building a strong team. She shares her personal experiences and insights on transitioning from a manager to a leader, identifying bottlenecks in business operations, and practical tips for hiring the right employees. The conversation emphasizes the significance of teamwork, clear communication, and strategic planning in creating a sustainable and successful flower farming business.TakeawaysYou can do anything, but you can't do everything.Hiring help is a huge responsibility and opportunity.Bottlenecks often start with us as the owner being unclear about expectations.Success is about teamwork and building a strong support system.The smallest shift in delegating tasks can be a game changer.Adjust your expectations as you both learn the best ways to work together.Hiring your first employee can feel overwhelming, but it can be rewarding.Clarity about roles and responsibilities is crucial for success.Planning ahead is essential to reduce stress and expenses.Hiring help allows you to focus on higher-value activities.Helpful Links:Quickbooks: https://quickbooks.partnerlinks.io/0o09r7rqoau4Podcast website: www.sunnymarymeadowcoaching.comPodcast Instagram: https://www.instagram.com/sunnymarymeadow/Sunny Mary Meadow flower farm (www.sunnymarymeadow.com) specializes in bouquet subscriptions, stem bars, and a you-pick flower farm experience.Podcast Facebook group: https://www.facebook.com/groups/888196709178852

The Last Episode with Peter Compo: Engaging in Emergent Strategy   In this final episode, the host reflects on an engaging series with Peter Compo, author of 'The Emergent Approach to Strategy.' Peter answers a viewer question about strategic leadership and emergent strategy, emphasizing the importance of internalizing the strategy design and involving everyone in the process. They discuss managing strategies through turbulence, the significance of scenarios in strategy planning, and ensuring robust execution despite challenges. Finally, the episode explores identifying bottlenecks in organizations and the intricacies of systemic issues. This episode is a must-watch for business strategists and leaders looking to deepen their understanding of emergent thinking and effective execution.   00:00 Introduction and Guest Welcome 00:24 Viewer Questions and Strategic Leadership 01:38 Engaging Teams in Emergent Strategy 05:04 Consultant Work and Strategy Design 07:01 Execution and Crisis Management 16:19 Scenario Planning and Strategy Alternatives 36:05 Understanding Bottlenecks in Frameworks 36:45 Designing Strategy: A Puzzle Approach 39:03 The Role of Bottlenecks in Strategy 40:57 Techniques for Identifying Bottlenecks 44:17 Addressing People and Emotional Bottlenecks 46:08 Case Study: Courier Incorporated 50:41 Real-World Application: The Reinvention Summit 58:20 Systemically Broken Organizations 01:02:36 Conclusion and Final Thoughts   Link to Peter's website:   Link to Peter's Music:   Link to Aidan McCullen for Keynotes, workshops and event MC.   The Reinvention Summit    Find us on Substack for Shownotes and competitions:   Peter Compo, emergent strategy, Aidan McCullen, leadership, strategic leadership, business strategy, crisis management, execution, organizational change, scenario planning, strategy alternatives, bottlenecks, innovation, systemic issues, strategic consulting, management theory, goal setting, thought leadership, executive decision-making, strategy frameworks

Zico Colter is a Professor and the Director of the Machine Learning Department at Carnegie Mellon University.  His research spans several topics in AI and machine learning, including work in AI safety and robustness, LLM security, the impact of data on models, implicit models, and more.  He also serves on the Board of OpenAI, as a Chief Expert for Bosch, and as Chief Technical Advisor to Gray Swan, a startup in the AI safety space. In Today's Episode with Zico Colter We Discuss: 1. Model Performance: What are the Bottlenecks: Data: To what extent have we leveraged all available data? How can we get more value from the data that we have to improve model performance? Compute: Have we reached a stage of diminishing returns where more data does not lead to an increased level of performance? Algorithms: What are the biggest problems with current algorithms? How will they change in the next 12 months to improve model performance? 2. Sam Altman, Sequoia and Frontier Models on Data Centres: Sam Altman: Does Zico agree with Sam Altman's statement that "compute will be the currency of the future?" Where is he right? Where is he wrong? David Cahn @ Sequoia: Does Zico agree with David's statement; "we will never train a frontier model on the same data centre twice?" 3. AI Safety: What People Think They Know But Do Not: What are people not concerned about today which is a massive concern with AI? What are people concerned about which is not a true concern for the future? Does Zico share Arvind Narayanan's concern, "the biggest danger is not that people will believe what they see, it is that they will not believe what they see"? Why does Zico believe the analogy of AI to nuclear weapons is wrong and inaccurate?  

Arvind Narayanan is a professor of Computer Science at Princeton and the director of the Center for Information Technology Policy. He is a co-author of the book AI Snake Oil and a big proponent of the AI scaling myths around the importance of just adding more compute. He is also the lead author of a textbook on the computer science of cryptocurrencies which has been used in over 150 courses around the world, and an accompanying Coursera course that has had over 700,000 learners. In Today's Episode with Arvind Narayanan We Discuss: 1. Compute, Data, Algorithms: What is the Bottleneck: Why does Arvind disagree with the commonly held notion that more compute will result in an equal and continuous level of model performance improvement? Will we continue to see players move into the compute layer in the need to internalise the margin? What does that mean for Nvidia? Why does Arvind not believe that data is the bottleneck? How does Arvind analyse the future of synthetic data? Where is it useful? Where is it not? 2. The Future of Models: Does Arvind agree that this is the fastest commoditization of a technology he has seen? How does Arvind analyse the future of the model landscape? Will we see a world of few very large models or a world of many unbundled and verticalised models? Where does Arvind believe the most value will accrue in the model layer? Is it possible for smaller companies or university research institutions to even play in the model space given the intense cash needed to fund model development? 3. Education, Healthcare and Misinformation: When AI Goes Wrong: What are the single biggest dangers that AI poses to society today? To what extent does Arvind believe misinformation through generative AI is going to be a massive problem in democracies and misinformation? How does Arvind analyse AI impacting the future of education? What does he believe everyone gets wrong about AI and education? Does Arvind agree that AI will be able to put a doctor in everyone's pocket? Where does he believe this theory is weak and falls down?