So the concept of always being one we can all benefit from. When i started to write this book i wasnt expecting it to be released in the midst of a pandemic but in my view the topic could not be more relevant to be forced to have that day number one mentality. I love to ask you what you found to be so important about this topic but you could focus on those workers that Tech Companies cracks and how does that fit into your overall journey . And i come in with a slightly different background instead of going to Journalism School investing neighbor relations. But really i always focused on culture and organizational behavior and infrastructure. That something i always thought about in the background covering the news and the company. So obviously we started to see the tech giant to grow and they tend to fall apart they get bigger and their bureaucratic. Not the that typical lifecycle. So they kept getting stronger and stronger and stronger and as i was spending time i saw those that didnt fit the traditional mold very different than the traditional businesses. And the operations with the cultures and the process and that technology they use was just so different and you can draw a line from what they do to their success is not like facebook and instagram or google was successful but i believe there is an underlying culture that is in place meant to be so dominant. It would be a shame if they kept that to themselves theres never going to be a point in time when the tech giant say wheres the manual and we will take notes for what we do well then beat us that way. They were just not hand that over so i thought with the background a little bit on relations of Organizational Culture i could find a way to write this down and put it together in a book and give it to the rest of the economy allowing them to compete with the tech giants and bring them into a new form of working so that was the idea that my plan was to enjoy that in a way to give the rest of us a chance to take part of the market share of these companies. Thank you so much and on behalf of all of our members for diving in and sharing with us today. So my key of what you are saying is something is bigger and more bureaucratic. These big Tech Companies you found out they do things differently but before you jump on the call you mentioned to me people often assume those different Tech Companies are different from each other but based on your research you found out there is a lot that is similar. Can you share with us exactly that subset the key things you found with those innovative Tech Companies that is a common practice we could all learn from . It begins with the title. Jeff base those one has a moment inside amazon where bezos gives a question what is day number two look like he reads the question and basically in a menacing way that makes the entire Company Start laughing. He says day to is followed by paralysis and painful decline and then death. Thats why it is always day one so when i first heard this i thought he is telling the amazonians work through nights and weekends and say goodbye to thanksgiving and christmas but actually its very different the more i reported the more i saw this idea of day one is a mentality they approach each day as if it is their first so a lot of companies are attached to what got them there but then do nothing but focus on that and the tech giants have done very well that there is this one business has gotten us to the bench we appreciate it has been good now its time to disrupted ourselves and invent ourselves. So when the assets run out they are done. Amazon is the number one example starting off as the online bookstore then they sold everything on the internet and then a third party marketplace. Web services provider. Academy awardwinning movie studio. Hardware manufacturer. A grocery and now that go store that does not have check out people will be using pretty soon because you dont want to personal interaction that will bring innovation later. So they say we have these businesses but that doesnt take us where we need to go they understand a company in the fortune 500 last seven years antedates 15 so if youre not continually inventing you are done. I think its built into amazon in facebook they say 1 percent done like looking from the online directory and now they are reinventing again too much more smaller intimate networks that when people realize it starts to click and then we can go into this more and i promise to be quick but google says they had a search function but thats really not the case so it started off as a website and then it became a Browser Extension which is something people had downloaded with Internet Explorer that accounted for more than 60 percent of google searches those people typing in the browsers and then they go to an actual browser of chrome when microsoft word screwed up they reinvented again to a mobile operating system with android. Microsoft says hit refresh is gone from Windows Company apple goes for the manufacture of the ipod and Desktop Computers but now with the iphone but they lost that day one mentality at apple i do think they will be in trouble but they will hang onto that as long as they can and we will find out who is right once the time is up on that. So with this critical point, do you feel it is just the nature of the tech companie companies . Or do you believe reporting at all these companies with that mentality that it could have with leadership focused on that . I do believe that so first of all the issue between tech company are not is getting more blurry than it was. Look at the Automotive Industry the auto executive a few years ago might have said we have no need to reinvent we have a car that runs on gas with four doors and five seats. Actually those that have gotten ahead like electric vehicles and self driving those are much more successful in the future so the whole idea that day one is that way and tell its desperation time to change your business but start inventing the next thing. It exist elsewhere like Construction Companies now using Machine Learning and drones so there could be reinvention there so what we are seeing right now in the moment we are in is that covert is forcing companies to go faster than they imagined here is one example there is a company in ireland that would be building stages for a long stretch of time and then transformed and reinvented itself completely so why not put the skills to use and now a second business to make it even more profitable so heres the deal i think that every company sometimes it makes sense to focus on the flagship product but in the back of everyones mind people think about this data mentality will be much better off in a longterm. Host before we moved to the other common themes and constantly reinventing this sounds great and seems like yes. We should have that i should run my company that way. However of trying to understand what enables thes companies. Is it a matter of the ceo being those people that are in that mindset . Are there other things that we can implement so that mentality is more commonplace . Im glad you asked the question because its much more than the mentality its how you put that into action. If you change the nature of the way you see work. Going through a few different stages in the industrial economy i would say its important to think in two different buckets one is coming up with new things and bringing them to life the other is execution work to support to make sure your flagship product is working well almost all the work we did was execution work somebody comes up with an idea lets make widgets and everybodys making widgets in the factory then you moved to the knowledge economy then theres a promise but if you think of the knowledge economy almost all of the time is spent on execution we spent a tiny portion of our lives coming up with new ideas and all the rest of the time supporting existing like a manufacturer if you sell a product doing Inventory Management price and promotion everything you do is to support and your hair is on fire trying to support that. And then to do so well to use technology to minimize execution work. And then to use automation and technology and by the way that software is off the shelf right now and learning how to collaborate better and those documents are accessible. So once they make room for this idea what they have done is figure out now that they are working we need a system to take those ideas to go through the highest level or lowest level and find a way to bring those ideas and turn them into reality. So we will transform and then to take the work and then the pipeline to get ideas from people to those decisionmakers to bring them to life and then the tech giants do that over and over to reinvent themselves. So first you need to be willing and not get attached to a legacy that you focus a lot of energy to make sure that you minimize that execution work so those companies what they did is not just within their products but internal operation and then you mention the pipeline how do you go from idea . So lets spend a couple minutes diving into these points so when it comes to minimizing execution work the two elements that the second is to make collaboration easier so people are not blocked from getting their ideas across the finish line any stories you would like to share to help us accelerate in our organizations . Minimizing execution work can be as simple as saying look at the process or to make the process simpler that they say invent and simplify to find a way to take that process you have had and simplify them that could be Technology Enabled so now a couple examples i give a hightech and then a lowtech so inside amazon there is a program called hands off the wheel it was called project yoda with the idea they had all these vendor managers that look like suppliers so if you are interested in what to sell to the amazon customers you are with the company you need this many detergent units and Fulfillment Centers at this price and we will pay you this much. The idea of project yoda instead of having the vendor managed amazon says he will use the force Machine Learning can do this well. They have a lot of data so they can tell you in every zip code what they do, their hobbies. If you have a zip caught on a zip code that likes north face then he will put those in the Fulfillment Center so how does amazon get stuff in two days or one day is probably already in the Fulfillment Center that they can do it so quickly because they can send out that many units so what amazon did is what seems to be working we will put machine engineers on it so they end up having the Software Take over the bulk of the vendor managing activities so now it will send out purchase orders and inventory planning and even negotiate with the vendors used to be the vendor manager would get on the phone saying we need 3500 detergents from this Fulfillment Center now they just log onto the computer portal and amazon tells them how many they want. This is done and minimizes execution work within the Retail Organization so what happens when they take the Machine Learning technology . You can do two things. You could fire people or and i think that would be stupid now and see if we can put it to use the background is looked at linkedin were to the vendor managers go . So essentially those that are sheltered and bring the projects to life inside the company and they do that execution work they went to a vast number of different products inside the company so heres a fun story the head of pricing and promotion inside amazon so they actually did a pretty good job on and figured out the prices when we promote them and get them to people. So he does this thing where he works as a Technical Assistance at shadows bezos and then you get a chance to learn how he thinks and the company and to see across these groups in the company then get to go do something cool so the first Technical Advisor who now runs amazon web services. He finish this and couldnt go back to pricing and promotions it was taken over by a machine. So he huddles with a group and says what are we going to do . Let solve the most annoying part of the shopping with technology and they figure out the most annoying part in real life is checking out waiting and checkout lines you never know the interaction you will have. They dont have that foresight. Not good. So they said lets figure out a way. What if we built huge vending machine . They pop out the items and deliver to you on the spot . Not quite good enough is like a complex User Experience so we can use technology and let them walk out without checking out so thats if you have not been there i recommended its pretty neat he take whatever you want off the shelves the system knows we have taken and then you walk out and say ive stolen all the stuff and then a couple minutes later it shoots the receipt to your phone so they took the technology with the main source of tasks and made them automated. And then they said that foundation. So this is a prime example of how inventions as much of a culture it set the framework. And without that we would not have amazon go today. That is great. For me, as i think through how this applies to me and listener listeners, its easy to feel that Machine Learning are smart coding all the sources sound like its much harder for us but at the same time going back to what you initially said, its not so much about those resources but having the framework in mind like the execution work and idea work or not to use Machine Learning like amazon does but still there is a ton of execution work that can be minimized or changed how its done is like as a leader of an organization to think about how do you minimize this execution work . But i do believe to keep this framework in mind and thats why its the culture of amazon to enable these things that was highly scientific. Thats right i will tease the introduction a little bit because in the book you say dont be too afraid its too excessive because i do go into some of the examples about companies without the Machine Learning talent using offtheshelf Automation Technology and ways to automate. There is a whole set of Automation Companies today that provide services to companies that dont have that Machine Learning talent and people with very limited technical capabilities and i found those very interesting. I just said a quote earlier today we all have access but it just happens to be through the cloud servicers and those links and for anyone as well. And then the next point that is the pipeline once you have that mentality and how you minimize that execution is not so much about pipeline and how you get actual ideas and be in the hands of customers but what do we learn from that . Amazon, they have this six page process that ensure people are familiar about amazonians right their ideas down in a document then that circulates to the decisionmakers to get caught up quickly to help clarify thoughts and also in a Typical Company you tell your boss an idea and they tell their boss until finally it gets to the decisionmaker then its turned into action its a terrible game of telephone and politics and companies and up doing jack shit. So then the idea is unadulterated when it gets to the decisionmakers and can clarify their idea. We can get back to that. But i will give another example. And the first time i met Mark Zuckerberg we did have a traditional briefing so typically is a reporter going into a ceo briefing this is what happens. You go in the ceo talks 25 minutes then a pr person in the room monitoring facial expressions. They like what they see they will let you ask a question if not they say things for coming. With zuckerberg its the opposite. He brought me and my editor into talk about this manifesto on the future of Facebook Like should they step into peoples lives common example is somebodys says they want to hurt themselves to space bar kevin obligation to go again. That is what he is struggling with or when facebook has an obligation to step in and when they dont. I said i have the document was ready to get a lecture and ask a question and go home he said i really want your feedback. And i said thats different like an interesting sales job that hes trying to make me think that he cares. So i didnt have an answer but the meeting was a very interesting briefing. And then i started to ask people what is up with the zuckerberg feedback thing . And it turns out thats just embedded into the facebook culture the posters on the wall that say feedback is a gift and facebook employees take multi day trainings to receive feedback and so for the book i can sit in on one of those at the beginning of the facebook chapter it was weird and fun i was asked to go up and do something in front of the group and said i dont think so because giving feedback is so hard. So they are wildly so intent on doing this. They really want to let people know where they stand all people say run on the feedback culture and then i want them to know that to me that is the most rudimentary form of feedback the basic thing that you should be doing as a company and netflix does this i do think netflix is a little misguided the way they handle feedback but what i learned is the purpose of facebook to build the feedback culture is to make anyone in the organization feel comfortable going up to someone and tell them what they think. And the training they say you can give feedback to your boss, your bosses boss or zuckerberg himself. How Many Organizations is that happen in . Somebody shares an idea that means they are out to get you that