Hyperdrive Project Management Methodology proposal: nights & weekends s5 week 2 build a toy

Tanmay Kayande · Intermediate ·📅 Project Management ·2y ago

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Watch Hyperdrive Project Management Methodology proposal: nights & weekends s5 week 2 build a toy by Tanmay Kayande. This content is being analysed by DeepCamp AI to generate a detailed summary.

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good afternoon as some of you know I'm currently participating in nights and weekends which is a six-week long accelerator course uh focused around building a personal project my personal project uh I've been calling it Omen it's regarding how I can eventually deliver 33 pre-built AI Solutions and all of that implemented tested and rained for all the users in under three days this is an audacious goal and I think I have a way to do it however this is the very decent start of that project in order to be able to do so be able to deliver that kind of a solution so fast and make sure no quality is sacrificed one of the major things I'm looking at is the way we do project management or project management methodologies in general they haven't really changed since the 80s since we came from Toyota production system pulled that into agile kban scrum lean devops it's like all these have been progressions Evolutions solving different problems all coming from the Toyota production system so I realized in order to be able to deliver this many AI Solutions in the amount of short amount of time I want to deliver it there needs to be a new way the second week of the nights and weekends program is about building a tour about building some sort of MVP or build something even if it's Scrappy and put it out there I'm going to share that with this video and then we'll get into things for any of you who may not know who I am done my gu it and after nearly a decade of being a trusted adviser to Executives from startups to SBS to Enterprise scale organizations I've found patterns in the architecture of those that lead their field I know because well have designed and developed their systems and processes using models and Frameworks to help affect billions of users and now that's the kind of insight I'd like to bring to you with that sharing my screen and then let's jump into it so this methodology I'm calling hyperdrive I had a friend chly call it well if it's your way of doing project management maybe call it the guy INE way so that jer's still out with this getting into the introduction without getting too much into what's written on the page taking so what am I trying to do here project management itself it works there's a lot of Brilliant Minds who've put in a lot of hours lot of effort and lot of iterations to figure out what really works do I think something which I've put together in a matter of a week is going to upend all of that no no that would be a lot of huus think we're due for a change and I do believe that generative AI has reset the technological landscape and I think we're able to work faster now than we have ever been able to work before and with these reasons it's reason enough to at least question are we still doing things the best way possible or is there a better way that's what I'm exploring here with hyperdrive of I think there is a better way I think firstly before discarding institutional here's how we do things it's important to first go back to the source so the approach I had with Drive was okay if all these things came from Toyota production system let's go back to the source material taono Toyota production system he's the one who implemented it there I have his book on the Toyota production system and project management as well as uh the Toyota way which has the 14 principles on how Toyota operates the reason why Toyota is because well that's where all this came from and I won't get into their history because that's not what this is for but fascinating story behind way from there looked into just having worked over the last 8 years in Consulting I've used most of these methodologies whether it's agile whether it's scrum kban uh lean principles I've worked with devops uh models for teams Angel is probably the one which I'm the most familiar with so I can speak to that the most however all of these have shortcomings as well so is there a way that we can take the original benefit of the old production system bring in the best parts of all of these developments and iterations all these right Minds have put forward to it and also be able to curtail or mitigate the downsides of those kind of things so that was the kind of approach which I took of okay so we got the toy production system modern project management methodologies let's take a look at well what's the difference between the original to production system and that methodology what are the improvements and benefits and then what are any deviations and flaws so took a look at that for TPS versus scrum versus agile versus kban lean devops and then eventually came down to a takeaway of it's like okay well here's how we get back to the source here's how we integrate the best parts and then from there where do we go well here's the proposal for hyperdrive what if we were able to have the foundation of DPS principles bring in the iterative and incremental development that scum has be able to embrace that kind of flexibility and customer collaboration that agile brings have the beautiful visualizations that kban has and the flow optimization it has and then the way lean lean directly connects to TPS the way it really emphasizes waste reduction and standardization if we could have that that would be the first part and then the second part and this still get into devops of the continuous integration and automation that devops brings and then this kind of brings us back to TPS where if we can cultivate a people Centric culture if we can use AI leveraging modern technology and really be focused around metrics and performance and then ethics around AI around it is extremely important if we can promote sustainability and something which I think has been a little lost with where we are right now either in the I space or even in the corporate space is long-term thinking not thinking on a quarter by quarter basis not thinking by a year bye basis but the culture and philosophy on which TPS was originally developed was they have this uh Plan called fion I believe where they plan for like a hundred years a 100 Year business plan or 100y year game plan and they have it scaffolded enough by principles of here's generally where we're going and flexible enough where as the technology adapts we can get places faster with this okay so I'm suggesting I'm proposing here's a new way it's going to have flaws it's going to have some challenges for me to overcome or not just me but if collectively any of us as people watching this are thinking of adopting this then there's going to be challenges what are those challenges the better we know them the better we can know overcome them so complexity and overhead trying to bring in all these parts from all these other systems it's a lot so there's got to be an elegant way to do it in a way that doesn't make things overly complex or unnecessarily complex waste reduction and make sure everything flows together making sure that we're balancing flexibility we want to be able to adapt very agile but we want to have standards we want to make sure everything is systematized automated we want to have a cultural integration one of the things which when it comes to the assessment on PPS versus lean it's lean has lost maybe some of the philosophy and culture which comes with the toota production system in favor for other benefits so being able to bring in that cultural integration also AI is a great tool and absolutely we should weave it into workflows let's not overemphasize what it can do we should focus on people and skill development measure performance uh how are we going to do that how are we going to overcome resistance to change especially if this is going to enable us to move significantly faster than what's even plausible or comfortable how do you open people up to the idea that yes uh if you asked maybe a major Consulting organization to implement 33 AI enabled solutions they might suggest hey let's do a six month Discovery plus a 18-month implementation and then maybe we check in after like a two weeks of hyperare and two weeks of followup let's see what happens then it's going to be 24 months if technology changes on a month-to-month basis three days this kind of a implementation you could walk into office on Monday and be done by Wednesday have your company have entire 33 pointed solutions for AI so this kind of thinking this kind of implementation requires a different kind of approach this is why this is here how do we do this we'll get to that in a moment but this hyperdrive dock this uh Toy which I've made for the nights and weekends program this is really what hyperdrive is and hasn't delved into the well here's actually the tactics of how we do it yet that will be coming uh we have scalability and customization alignment with business goals these are just more challenges how we look at gen what we can use it for so the opportunities where that gen challenges are so again for example over Reliance on uh technology we want to be careful of that and then how gen and Toyota production system so the new thing right now how it tethers back to the original Roots that's been that's been one of the considerations or that's been one of the biggest lenses on this and then in the end uh putting together a one pager of well Pro problem solution benefits a bit of intro of me and then yeah just here's the kind of solution which I'm trying to so this overall is what I've been working on the past uh past week or so and alongside this I've also developed a landing page however that's still being tuned you have any questions have any suggestions have any comments any feedback be more than open very receptive for any kind of improvement I can do with this thank you and if there's anything else please let me know thank you for your time
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