My name is Matt McKay and I am a developer evangelist with Twilio, but before I started at Twilio I was doing consulting work in large enterprises across government, nonprofit and commercial organizations and I discovered that there are a lot of things that came up on every project, drove me nuts, were incredibly frustrating and when I heard that there was going to be an enterprise related track at DjangoCon I thought this would be the time for me to vent my frustration into a presentation and then also hopefully help you guys in these situations to solve some of these problems So like a good consultant I've decided I was going well I decided I was going to whiteboard this out, but there's no whiteboards in here So I just drew this ahead of time So this is my whiteboard version of my presentation and I've also drawn some pictures To go along with this and I am going to use the term client To represent the sort of boss figure, the person that is driving what the feature requests are So for people that are staff, it's probably just the boss for me in a client consulting relationship I'm just going to say client so just so you know what it is And so the things that I would get requested all the time from clients Here's the top five things that I've on every project and it would drive me nuts The first one was integrating with Active Directory. It's everywhere It literally isn't every enterprise and it was always at the last minute. Oh, we're getting ready to deploy to production This integrates with Active Directory, right? I'm like, yeah I well, let me just check on that for a second So I would make sure that I would integrate with Active Directory beforehand right instead of doing it right before production The second thing is passing security audits How do you go about convincing security that this crazy framework called Django which they always seem to pronounce the Django is Not something that is any more inherently insecure than the spring NBC framework that they're used to doing audits on The third thing is ingesting legacy data. So in any enterprise, there are existing systems How do you interact with those existing systems or take over existing databases that you are now putting a new front end on? The fourth thing is securing dependency installations So we now in the Python community have the ability to do pip install whatever Framework pip install Django and we're so used to doing that But in in enterprise environment sometimes they think well, that's that's strange We don't control that that repository of libraries. We need something else We need to secure that connection somehow and then the fifth thing is correcting This isn't something necessarily specific to Django But it's something specific to Python and any sort of dynamic language It's amazing to me the number of conversations I've had with little CIOs or executive level people that are like this dynamic typing thing And I'm like this is not something you should be concerning yourself with as a CIO But it comes up over and over again And there is a certain way that I have through much trial and error been able to convince many people on the executive level That this is not something that they should be concerning themselves with So the first thing is the boss man the client guy says active directory integration Let's make sure we can integrate with our active directory system So when I hear active directory, I'm like this my eyes just glaze over and I'm thinking like This is something some enterprisey thing that like there's an enterprise diagram that some enterprise architect drew by hand over a course of a year To just like figure out where all the systems are and I just like that's not what excites me as a software developer This is something that I just want to do I want to get it over with and I just don't want to think about ever again I just want to do it once and Actually active directory is actually not that complicated by and large There's a few different setups you can have but by and large what they really say when they want you to integrate with Active Directory is look we've already stored emails first names last names a bunch of information about our employees and the people Organization we just want to make sure that they don't have to like plug that information in again And so that when they log into their system, they don't have to constantly re-enter that information They're logging into our Django app for the first time and it says welcome Kate You think you know here's here's the application They don't have to punch in like it doesn't ask them like who are you what's your user ID like that information? You should be able to look up unfortunately active directory actually supplies that so the way that you would handle this is So we can look at it as any sort of back end as if we were doing a model back end Which is the standard one that we'd be looking up for the user and the database So we instead of having a model back end we can have an active directory back end the way that we would do this Fortunately is with with Python LDAP So any slide with the green background is a library that you can install So we can do pip install Python LDAP and this takes away some of the complexity from us But how do we actually integrate this general Python LDAP library into our Django application? Fortunately, it actually doesn't require that much work First thing would be to add some things in our settings.py file Just like if we're using any sort of dependency now I don't want you to have to worry too much about the details of what this looks like first off My handwriting is pretty terrible and second of all this is just a very abstract sort of pseudo code way of looking at it At the end of the presentation, I will give you all the resources that I mentioned today I wrote a blog post specifically for this talk that has links to all the presentation All of the resources I mentioned in the presentation all the libraries it even has the source code to the presentation So you'll get everything at the end Just can you just read or just look through this stuff and and remember and that you'll be getting the resources at the end So the way that we look at this in settings.py file is we have a DNS name Which is our with our server for Active Directory? We have a port number that it's associated with that in general that is 389 We have some search fields these search fields are really what we're looking up So we want to know what the email address is of the user who's logging in or who's using our application What is our first name last name and this is going to be dependent upon your organization? What they decide to store in Active Directory so that is one question you're gonna want to ask ahead of time What do we store in Active Directory do we just use it for basic user information? Or do we actually have worlds and different privileges that are stored in Active Directory that we should be we should be using or do We need to rebuild that in our application and just because you have this information here doesn't mean you can't also have some Other username password or some other authentication scheme This is most of the time at the very least just use so you don't have to have people re-enter the information With the LDAP URL Most of the time you can struck that using the DNS same and the LDAP port I just hard-coded it there, and then you have some domain So you add these things into your settings up high based on how your LDAP is set up and someone in the organization Should be able to supply you with that information and then you create a class. It is a separate back-end class Fortunately, this is something that is a standardized get user authenticate create user there's a bunch of functions that you you write for a back-end and People have already written gists and and libraries that will encapsulate this the idea here Is that you should be able to take this back-end and Turn it on when you want it and for your own development purposes turn it off when you don't want it So from our own local development, we don't want to authenticate against LDAP We're just doing our own development work. We want to authenticate a mod against a model back-end So you should just be able to flip that in your settings that pie file So that when you're ready to deploy to your test or your production environment you'd flip this on So that covers active directory integration should be something that isn't scary anymore It should be something that okay I write it once and I'm done with it the second thing is passing security audits and this is obviously not just a technical problem There's not like just a few lines of code that you can write. It's not like you can do pip install security audit Well, that's actually a really good idea for a library But there's a bunch of things that you need to know and and explain to a security team So one of the things is as developers we have our heads down in the code and we're thinking so much about What problems are we solving implementing new features getting the system up and running that we're speaking a completely different language than the security team One of the things that I found so amazing was I expected the security team to be just as technical as I was as a software developer But in general in large organizations, they're not they actually sometimes don't even have a software development background We're speaking completely different languages and when you go into a meeting and you start talking about well Here's how we're implementing things from a security perspective And you literally hand them piles of code on printed out on pieces of paper. They're like these guys don't know what they're talking About they're not speaking the same language as us So the first thing to do if there's a security team is find out how technical are they and generally try to find the Most technical person or the person who's the most interested in the software development aspects and then work with them to figure out What standards are they using one of the most common standards for web applications is called the open web application? security project they have a top 10 list of Security vulnerabilities in web applications and this is probably something that is the input to a checklist They're trying to check off boxes the security team knows there is no application that is completely secure They want to make sure that the bases are covered and they generally take those bases that the boxes They're trying to check based on some on some standard Standard open security protocol like this or security checklist like this and it's looking for certain things that as developers We should know at least a little something about the first thing would be injection particularly sequel injection So coming into the meeting knowing what sequel injection is and understanding exactly how Jango prevents that with the ORM and Highlighting if we're using sequel if we drop down into the sequel and bypass the Django ORM We call that out in our own in our own information that we hand out hand to the security team The second thing would be things like cross slide cross site Scripting and then also cross site request forgery. These are things that Django has pages on and the great part is about these is That each one of these top 10 items. We don't have to reinvent the wheel as Django developers There's a great talk by Jacob Kaplan Moss that talks about every single one of these security security vulnerabilities Particularly in the context of Django and how Django handles them So you can watch that talk and read a blog post which I'll give to you which maps These security vulnerabilities versus what Django does and obviously you're gonna have to adapt it to the your own code That you've written But what that means is that a lot of the heavy lifting has been done by people who've solved these problems before So that is in general how I approach security audits Again remember Security team is often not nearly as technical as we are and therefore we want to be speaking their language So that we don't end up in an adversarial relationship with them Another thing is transferring legacy data. This happens constantly. We're building new systems in an ongoing ecosystem The first situation which can often be the cleanest is we're just building a new application on a legacy database There's already stuff out there and we don't have to worry about another application touching that database It is our database that we're working with it has existing data. It has existing Relationships we just need to know how to map our Django application to that fortunately We do not have to do this manually. There's something called inspect DB So once we've configured our Django app to read from a database We can do inspect DB and we can pipe that into a or redirect that into a models.py file And then it will generate the schema for us now We may not know exactly what's in that models.py file So we could look through it and we could read through everything which certainly we're going to have to do at some point and figure out The structure of the database, but I'm a visual person And so there's another thing that we can use which is we can do a pip install Django and extensions And then we can run a manage.py graph models with some output and it will generate Getting off of our our whiteboard for a second It will generate a file of picture that looks like this that actually shows us the structure of the database And this is fantastic for getting up to speed on what is already out there. We don't have to hand Hand to figure out. Okay. What table connects to what other table? What are the foreign key relationships? We can literally visualize this and generate our models.py file Now obviously that's the beginning of the journey We'll need to migrate tables We need to figure out if that structure is appropriate for our application But it certainly is a starting point that is that we can get to very quickly and start understanding what that legacy database Contains for our application now this the situation is not always that simple sometimes there is an existing application and The requirement is well, we just need to get some some of the data out of this existing legacy data database So there can be a temptation because Django Believe it was as a one three or one dot four. You can use multiple databases So you may be tempted to say well, we have our own database. We're also going to have our legacy database We'll just use two databases for our Django application However, I recommend against doing this if at all possible in enterprises weird stuff happens You don't always have control over the situation Sometimes there's some sort of political battle that is preventing you from the optimal scenario and you may have to directly connect to the database You can do this what I generally recommend is Having some sort of wrapper around that existing application if there's if there's already a team that is developing software for that other Application have them generate an interface some sort of API that allows you to pull whatever data you need out of it on a regular Basis the the danger if you do what I've xed out here is that other systems make other teams and systems may come along and say Oh, you've got access to that data. Can you write me an API? But you don't actually have control over that database Someone else is touching that database and so what ends up happening is you become this Dependency that you never intended to be so it's better to push it down onto the the application It really does have control over that database Now there's one of my other favorite applications and my first job They are called end user computing applications and they looked something like this. They were in Excel spreadsheet The great part was that the company I was working for very large company they had so many literally hundreds of these things and They have a lot of errors in them. There's no unit testing of Excel spreadsheets And what ended up happening was they had all these cascading errors And they had to restate financials to the tune of hundreds of millions of dollars Because they kept having errors propagate throughout all their financial systems. They were basically this we're talking about major financial institution in The country enterprises are very strange places now fortunately some Environments recognize this is not a sustainable situation So they'll ask you as a developer to come in and build a system that replaces a spreadsheet But the caveat is yeah, we want all the data that's in this spreadsheet to like be in the system on day one So we have a hard cut over so when we log into that system. It has all the data that we're expecting in our Excel spreadsheet There are some tools that will help us do this Excel RD and Excel WT and I'll tell you exactly how you should use them The first one is for reading Excel spreadsheets so you can read Excel spreadsheets directly But I recommend strongly strongly recommend that you have a lot of data validation And that you agree beforehand you say what is the input that we should be taking in and we will reject anything That does not match that criteria column B should have only numbers And if there are any letters we reject that and we will spit that back out as an Excel spreadsheet with Excel WT So we'll give you back an Excel spreadsheet of all the stuff that does not pass data validation We're not going to you know continue to re-ingest this information But we will suck in as much as we can and then your team who handles the business side of things You can figure out what you need to correct So you push the data correction onto the team that has to hand figure out Why did we put you know a number in a cell or where we put a why do we put a bunch of letters in a salary column I mean this this is literally the type of errors that happen in Excel spreadsheet There's just no validation so you have validation on your side when you suck in the data And then you just say you have exception scenarios where you just pump out an Excel spreadsheet says You figure this out and we're happy to take it in when you fix the problems That is by far the best way and probably one of the only ways to make this a sustainable situation Where you can cut over on day one All right, so another thing is securing packages and installations So the two things I want to talk about here number one is I've gotten on client site and I've done PIP install Django And a thing fails well often we're going through a proxy server and they're funneling all traffic through that proxy server Now fortunately PIP has a has a setting it will it has a setting where you can specify a proxy server But also as of leader versions it will it will respect this environment variable so you can export the HTTPS on HTTPS underscore proxy Environment variable and PIP will respect that it'll say okay I'm going to go through this proxy server and then it won't begin installing your packages Just make sure that you you set this every time I've I've set it before and then I forget to set it in my environment variables And then my PIP will fail and I'm like what's the proxy server again So just make sure that if you're going to set this just set it somewhere where you know what the proxy server is Before you use pep every time otherwise it can fail Another way is this is our standard setup so we're used to as developers You know we got to pi pi or pi pi rather and we download the packages and we have them installed in our virtual M And we're good to go but this can be very risky for enterprises They say we don't have control over this pi pi environment We don't really care that it's a you know a community resource or anything like that What they care about is like they want to control that they want to run their security audit process And they want to run their scans on a central repository and that is understandable There are malicious things that can happen to central repositories that you do not own And so what you really want is something more like this this is all self contained in the enterprise And you can certainly do this in fact there it actually does not take that long to set up a pi pi environment of your own The only thing is you're going to have to upload and establish all the packages that you need there And then make sure the developers are not installing from the central pi pi that all developers in the enterprise Know that this is a centralized repository in the enterprise itself So the only thing about this is if you've got one team that's working on a Django project And they have to be the ones who are uploading all the packages and making sure everything is scanned It can be a lot of overhead so I would fight back against this Unless you have multiple teams that are willing to share the burden of hosting your own pi pi server But it is certainly doable Alright and then the final thing is this like what are these dynamically typed languages As I said in the beginning it's always amazing to me when CIOs are like You know I don't know about this whole Python thing you know it's dynamically typed I'm like you haven't programmed a lot of code in like 20 years Like what does it matter to you like it but it's so funny So what I used to do is I would always say like look If Python is good enough for Google it's good enough for this big company And the CIO would be like but we're not Google And I found that there was a lot of push back They're like we would like to be that place eventually but we're not there right now And so the way to mitigate this the way to mitigate this with an executive team Or people that are pushing back against dynamically typed programming languages Is to actually point out all the places that they're already using it Look we've been using Python in all these places for the past 10 years And guess what the enterprise has not blown up yet So if you start going around to use you take a look at all of the tools that your enterprise is using That there a lot of these are actually have Python that you're using for You're actually using Python with them already So for example WebSphere uses Python to set up its configuration You can write Python scripts to auto generate or to do the WebSphere configuration And so okay there's one use case of Python already being in that environment If you're using Ansible or using SaltStack or even if you're using Chef or Puppet Those are dynamically typed, they're built on top of dynamically typed languages Extraction and transformation, taking data out of one system and putting it into another You point out all the situations in which Python and dynamically typed languages All of them are already being used in the enterprise And that can be a powerful thing for someone who is just trying to say Well we don't want to introduce too much change into the enterprise right now You say you're already using it and therefore it's obviously safe for consumption Because it's already been here for 10 years Now after that then you talk about something like Here's the respected peer organizations that are building systems with Python and Django And there's a bonus if you know that there are certain organizations they bring up And they're like these are the leading organizations in our industry Not necessarily like Google or Facebook or something like that But if they're in government space or in the financial space And you know that these group of executives always talk about this company is doing great things You can find out what those other companies are doing And the majority of the time like Bank of America is doing a ton of work with Python They don't really talk about it too much But it is something that is out there Because if you're in the financial industry and executives are pushing back on Well we don't want to use dynamically typed languages or Django But they're always talking about how great Bank of America runs some of their systems Or how they're able to respond quickly with their IT systems You say by the way they're using this already And that may be one of the reasons why they're outflanking us here And so that puts a little bit of pressure from the standpoint of like social proof You're basically saying look you don't want to be There's a few different risks there So like in the first category you're mitigating the risk of like We don't use this already So you're taking that consideration off the table Then what you're doing here is you're mitigating like Look your peers are using this and they're outrunning you And that is a fear that many executives have They're worried about being overrun by other companies And so you can point out like look These other organizations are already using dynamically typed languages And then finally I do generally have a laundry list of the leading tech companies And I talk about here's exactly what these tech companies are using Python for And these companies are doing really great things with small development teams And if that's the direction of your organization Then that's probably something you should be thinking about as well You basically want to start crossing down the list of all the rebuttals That they can have around dynamically typed languages So we covered a few things here First and foremost, integrating Active Directory It's not something that should be too scary There's some great resources out there and using Python LDAP This is not something that should take you two weeks You can generally write this stuff in about a day And be done with it and never think about it again And reuse it on whatever project you go to Passing security audits, talk in their language Instead of just talking in software development language It can take a little while to get used to that But you remove the adversarial relationship Between the development team and the security team Adjusting legacy data, there's a few scenarios here If you're doing a hard cut over then you can do inspect DB You can do graph the data model And figure out how it works And if you're talking to an existing system I recommend using an API as opposed to using a set And just connecting directly to the database Because that can be an unsustainable situation And then also with Excel spreadsheets Make sure you do the data validation And spit out the errors and let them correct the errors As opposed to trying to correct the errors in your own system Securing dependency installations PIP will respect the HTTPS proxy variable But you can also set up your own PyPI If that's something that your enterprise is large enough to maintain And then finally correcting misconceptions Around dynamic typing There's a approach that tends to work very well Obviously, agriculture is different All the pushback from executives can be different But there is a structured approach That will allow you to just say This is something that is not too risky This is something that allows leading institutions To be able to use Python and use it well All right, so I told you I'd give you guys the resources I know not everyone has a total cell phone service in here But if you send a text message I'll leave this up for just a minute If you send a text message to this number It's<PHONE_NUMBER> It will respond back with a text message This is totally anonymous If you could give me a score of 1 to 10 1 being the lowest And 10 being the highest Would you recommend this talk to a friend or a colleague? This allows me to determine Is this a talk that is something that is valuable to the audience Or if this is something that maybe I need to work significantly on And maybe change out the topic So that it can be more appropriate Based on the talk title A lot of times we don't necessarily get feedback This allows me to get feedback based on the audience's reaction So if you send a text message To you guys is you get the link That has all the resources to the blog post Has a link to the presentation A link to the presentation source code Everything you need that I've talked about Throughout this talk So again<PHONE_NUMBER> And this will be up for a while So if you don't have cell phone service in here Just send it when you go outside And you'll get the link back Okay, one more little quick plug I'm the author of FullStackPython.com If you're looking for resources around Python This is like my passion project for 2014 I have put a lot of time and effort into it I actually just crossed 90,000 readers this year I'm super stoked that this really helps people This came out of me just writing emails To a lot of developers and saying Here's some great resources I put it on the internet for everyone In the community to be able to consume My name is Matt McKay I'm a developer evangelist with Twilio Here's my contact information Thank you all very much for having me And I will answer questions outside afterwards Thank you


Stories and content in Weird Darkness can be disturbing for some listeners and is intended for mature audiences only. Parental discretion is strongly advised. I'm Darren Marlar and this is a Weird Darkness bonus bite. From the New York Post, Man Killed Roommate and Lived with Body in Closet for Months by Catherine Donleby.  George Anthony Bone was arrested Wednesday and charged with murder after the woman's family found her corpse inside the shared home, according to the Las Vegas Metropolitan Police Department. The victim was identified as Beverly Ma, Bone's longtime friend from high school who moved in with Bone last summer. The accused killer allegedly told cops he knew that Ma had been dead for a while and that she had committed suicide, according to court documents. Investigators were called to the grisly scene after Ma's family had visited the home earlier in the day to hash out the cause of an unusually high air conditioning bill. Bone allegedly told the female family member that Ma was dead and gone and had been in the closet for two months before offering to show her the body. She noticed a cooler against the bedroom closet door and the bottom of the door had a towel which covered the gap. George told her that she can open it and see. Though the cause of Ma's death is still under investigation, police determined she was a victim of a homicide and suspect that she was strangled. Investigators also believed she was killed on May 4th, the same day she made a frantic 911 call in which a man and a woman could be heard screaming at one another with the call ending with a woman's voice saying, why? When police responded that day and knocked on the door, no one answered. When asked why he didn't call for help, Bone's response was, I was afraid of going back to jail for being found with a dead body. Bone instead continued living in the house with Ma's decomposing body and allegedly took advantage of his dead roommate's finances. He's accused of ordering more than 170 items that were charged to Ma Bone's Amazon account and using her phone to text someone that she could not attend a July 4th party because she, quote, wanted to be sober, not travel and not be around people, unquote. He also set the air conditioning to 60 degrees because he thought he would limit the number of flies that were in the house. That was me being simultaneously superstitious and, um, just distraught, Bone said in a statement, just watching too many horror movies and ghost stories growing up. Bone is a level three registered sex offender in Nevada after accepting a no contest flee in 2013 to attempting lewdness with a child under 14. He was sentenced to two to eight years in state prison. He was initially arrested before for allegedly sexually assaulting a girl two years earlier when she was 11. Find the link to the original story in the show notes and find more news in the Weird News and Blog at WeirdDarkness.com


Okay, we're back here live at, in Las Vegas, the Mandalay Bay, this is IBM's information on demand, hashtag, IBM IOD, this is theCUBE, SiliconANGLE and Wikibon's flagship program. We go out to the events, extract the ceiling from the noise, I'm John Furrier, founder of SiliconANGLE, I'm joined by co-host Dave Vellante, co-founder of wikibon.org, and also a big data analyst from Wikibon, Jeff Kelly. Guys, we're going to just do a breakdown. We had a great lineup this morning. We had top executives from IBM, we had some of the top customers passionate, articulate, really strong content. But Dave, we've gone to all these events. We just last week in New York City for big data NYC where we had Stratoconference and Hadoop World going on with us and that was a great event, more technical on theCUBE, here's a little bit more business, great conversations, we heard things like data flow, talking about data economy, talking about the business impact, what's your take so far? Well, John, it is interesting to juxtapose big data NYC and Hadoop World with what we're seeing at IOD. The content here from customers largely coming from practitioners, not IT practitioners necessarily, but business practitioners. We had healthcare professionals, doctors. We just had nationwide insurance on West Hunt, asked, where do you report into IT? No, I reported into marketing. So you're seeing clear examples of line of business executives that are driving big data innovations and driving spending. And that to me is the big difference. That's what IBM's all about. What do you think about last year we were here at IOD? We're also here at IBM Edge, the storage group, another IBM event. We have Pulse coming up, we're going to check that out and then another IBM event. But what I want to get your take, last year at IOD, and eventually I'm in this year, what's the comparison so far relative to position? Because last year you and I were commenting about it coming together. The disparate parts of IBM, huge asset base to get a treasure trove of technology, solutions and personnel. It's kind of like a combined workout. You bring them all together. What's your take this year from this year in terms of messaging, solution, and just overall? I think in 2010 IBM saw the whole Hadoop movement. Obviously, I've been participating there. Saw all the buzz being generated. And I think it spent 2011 trying to really craft its messaging, its strategy, figuring it out, where it fit relative to a smarter planet. And then last year at IOD, I felt like it was the coming out party for IBM's analytics business, dovetailing with big data. So IBM essentially, purposefully we heard from Anjul Bambri, purposely tried to go out and create this new category of big data analytics. I think it's clear that IBM has successfully done that, along with others, but IBM was really the first to really push those two together. And that's what we saw last year at IOD. I think this year at IOD, now you're seeing the practical application of those efforts, the technology, the services bringing it together, and the business value that's being driven out of those initiatives. You know, I got to say, one of the things I'm really impressed about IBM on is that they have the same philosophy we have here at theCUBE, and on SiliconANGLE is that, you know, when asked about how they're executing and with their customers and their communities, you know, David said, we want to align our subject matter experts with our audiences. Customer and industry partners. Dave Laverde said that, yeah. Yeah, Dave Laverde said that. And that's the key about IBM. There's a lot of people that don't know what they've been blogging as a company, going back to the original days. The company is very encouraging of social presence. They're respectful, professional, and so it's good to see that. And Jeff, I want to get your take on this because I'll just weave into my question for you, which is, you know, we were talking about big data analytics, obviously a space you're covering in depth is the leading analyst out there right now. But one element that IBM is doing here that's interesting that connects it is social business. You don't see a lot of the other events in tying the social business piece to it, which is essentially the outcome side of it. Dissect that for us, please. Well, I think they understand that they being IBM that big data and analytics doesn't live in a silo, and it really is critical to get the most out of your big data and your analytics projects to infuse those with social capabilities. Big data analytics is inherently a collaborative discipline. So the idea to bring those two areas together and start to merge those along with cloud, along with mobile. I mean, you really can't separate any of these out if you're, when you're talking about successful deployments inside an enterprise. You know, an isolated big data analytics project that doesn't bring in the collaboration capabilities to allow analytics to be infused throughout your organization. That doesn't bring in the mobile capabilities to really serve customers and serve frontline workers who need analytics, you know, where they work or where they engage with your brand, where they buy services online, whatever the case might be. And then, of course, cloud, where a lot of the technology can be complicated, can be complex, and in a lot of cases, it makes more sense from a TCO perspective to deploy those in the cloud. So you've got to bring all those together. I think IBM is one of the only companies that really gets that full message, and now they're starting to bring that together here at IOD, and to add on to Dave's response about what's different this year. I think last year, as Dave said, it was much more of a coming-out party, talking about some of the capabilities. This year, it's all about business value. I mean, we've heard from just, you know, we're halfway through day one, you know, we've heard from customers either on stage or here on theCUBE, Memorial Healthcare, Allied Irish Bank, Blue Cross Blue Shield, Emory University, Nationwide Insurance, Centerpoint Energy, Verizon, Optimal Labs, and then there's more. So they are clearly, you know, focused on delivering these capabilities to the enterprise in a way that they can consume them, and they're making it real. It's encouraging to see. Dave, I want to get your take on this, the rise of social business. You know, when I was co-moderating a panel with Jeffrey M.L., CEO of GE, with Vice Chairman of United Airlines, Statoil, Apache, St. Luke's, all these senior executives, the term that came out of their mouth the most was business outcomes. And, you know, they're all talking about this new wave of doing things with social data, machine data, human data, et cetera. And how does that tie in from your perspective? Because what we heard today was the classic breaking down the silos kind of narrative, which is, hey, we're now at a point now where we can actually go get data outside, customers can get data outside of their core markets to inject into their real-time or advanced analytics BI systems. It's a fundamental mindset shift plus technology. What's your take on that?  Well, so a couple things there, John. One is, a lot of those companies that Jeff just mentioned are the IBM TrueBlue accounts, and the big question is, how can IBM expand its base beyond its core? In the crowd chat we had today, that was one of the questions that came up, Les Retchin, Anjul Bambri, Dave Laverde, they all were saying that we're doing that. I would still suspect, John, that 90% of IBM's businesses is within this big data analytics business is within their TrueBlue accounts. So your point about social is a really interesting one, and the point about the internet of things, if you will. These are opportunities for IBM to expand its footprint, and I think social is a means of doing that. You suggested, John, that IBM's actually quite prophetic in social media. They're doing some really advanced things, and you're seeing them out there. That's an opportunity for IBM to expand their base. The question I have for you is, is it working? Can it work? Can that allow IBM to grow beyond its core base, in your opinion? Dave, you and I both love the riff on this topic, but you know how I feel. Social data and social media is certainly changing. The societal changes around data is enormous. How people are doing things are completely different. Obviously the mobile devices, the smartphone, we'll say the iPhone was the Macintosh of its generation to create that smartphone movement where the edge of the network in the human sense was connected. So that's one massive driving force of society change, which we have crowd chats, we have crowd spots technology. We've built and the blogging, open source content. We're passionate about making information free to change people's lives. So let's check that box. To me, we've harbored on that. The big thing that I like right now in this market, in this show, and the shows we've gone to, is the business changes that are happening because of it, the visualization technology. Words like data processing or getting back into the event of vocabulary. Decision support systems, old mainframe like technologies and languages coming back, and that is because the enterprises are being smarter, they're smarter with technology. And I remember the term knowledge worker, we heard that this morning from one of the guests, I forget who said, we want to talk about knowledge workers. That term was so overused during the PC revolution. Okay, you can do a spreadsheet that I guess made people more knowledgeable, but now knowledge worker goes to a 10x level of impact. You're talking about engaged workforces, people understanding, talking to each other at a band. No controlled models, it's all transparent, democratization, harnessing the social data, connected systems. This is where I think the big data will shine. So putting the mobile device in the hands of a worker can make them, in my opinion, a knowledge worker. So I think this concept of knowledge worker will ultimately be the big data aha moment. And we always say the killer app of big data is analytics. So to me, it's very clear, the societal changes aside, which we love, the business impact's going to be the value changes, the instrumentation, but the knowledge worker is the guy in the trenches, the girl who's got the analytics going, who's the next Billy Bean, money ball in the organization. Doesn't have to be data science. So I think, you know, clear story last week really hit it home with me. Sharma Ella Mulligan, the CEO, ex-aster data executive, kind of showed the way. I think IBM is going down that path. Well, what I liked about what Sharma Ella was saying is she talked about intelligent data harmonization. Now, that's something that, you know, IBM can do through its portfolio of products, bringing a lot of services. So you're seeing some of these small startups trying to innovate and trying to replicate the capabilities of a large, large company like IBM in essentially a point product, which is what clear story has. So it's really interesting to me, John, to again juxtapose the two worlds. You know, we heard Abhimento last week talking about, you know, BC before cutting and AC after cutting. I would guess that well over half the people here don't know who Doug Cutting is. I don't know if that's true or not, but I guarantee you that 95% of the people at Hadoop World know who Doug Cutting is. But things that I think resonate, you know, Merv told us last week the big story here is choices. And IBM is clearly one of those choices. One of the things we heard last week, interestingly enough, at Hadoop World was the prominence, Jeff Kelly of IBM's big insights, a dupe distribution. We heard a lot of people surprised at how prominent that is in the space because we're always talking about Hortonworks and Cloudera. And then the other thing we heard last week, which I think is very consistent to what we're hearing here, is big data is challenging conventional thinking regarding how non-analytical business users will be using analytics. That's something that Bill Schmarzo wrote in his recent book. And you're clearly hearing that as a theme here. That to me, Jeff, is the holy grail of big data. Ken, in your opinion, this industry, get to the point where big data practitioners are not the only ones using big data, but it's users, it's business users. Isn't that really how this becomes a $200 billion marketplace? I think you're absolutely right. I think it's, and it's not just a business user with a visualization tool. It's a frontline worker, an operational worker, using applications that are infused with analytics to allow them to make better decisions in real time to do their frontline jobs. And it's applications that automate systems, automate decision making. Again, infused with analytics, real time analytics that build off historical deep batch type of analytics, infusing those into real time systems to make automated decisions. I think those two are really where the incredible productivity gains we're gonna see are gonna happen. There's still a lot of room for that big picture analytics for using your visualization tool about automation and infusing analytics into operational applications, I think is one area where you can see potential for a significant productivity gain. So John, you hear a lot about the data-driven organization and how it's changing everything. I feel like we're really just scratching the surface. I feel like the disruption has not come yet. Anywhere close. I think massive disruptions are coming. Yeah, I mean, to me, Joe Tucci at EMC and IBM executives talk about it all the time about the ways of changes, right? And, you know, reflection points, client server, PC revolution, client server, all that good history, but the internet, now it's the big data.  You see it in the journalism business.  You can rearrange the tech chairs and hire journalists to do tech coverage in another area. That's the big story. But you can't just move someone around. There's a personnel change.  And I think the future of work is gonna be around collaboration. I think the new generation of workers are gonna be like first person shooter gamers, right? They're gonna be like collaborative, connected, communicating. They're gonna code Python on some levels.  So I think the user interface is gonna change. So that's gonna require new disciplines and quite frankly, a new career path. So things like machine learning and things of that nature are gonna have new disciplines. So I think you're gonna see a sea change of personnel changes where you're gonna see a new type of tech athlete come out of the woodwork and say, okay, that's the new rock star. That's the new kind of profile. That's the new systems analyst. It's not just give me a data scientist because they did some BI and data warehouse work.  But I think the breakout leadership and creation is gonna be from the people who are gonna look and think differently. I think that's gonna be the change. And that's gonna be guys who can grok math, creativity, user experience, machine learning, things of that nature. Yeah, I think you're right. I think there is a lot of, you know, paving the cart path, as our friend Paul Gillan might say, but at the same time, right? I mean, there's like a lot of checkbox items going on, but there's still a lot of core disruption coming in industry. So we're gonna be able to separate the pretenders. You heard Fred talk about Fred Delbonio. Talk about how one of his clients, one of the customers, wanted to take 200 million dollars off the ad budget. That was a great example. And they turned around and made 300 million in sales that Christmas season. That to me is the data economy. That's what he says to the data. I agree with him. That's the lever.  Well, what he didn't say though, John, and it very well may be happening. He didn't offer it. We should have followed up with him, but can they now instrument that business such that it can deliver those results on an ongoing basis, you know, by the minute, right? To optimize the spend. What Fred talked about was, you know, IBM built that model and then presented that model and then made some pretty substantive decisions. Now, the question is, can they integrate that into the business process? Well, that definitely can. I think what you're going to see is you're going to see these use cases. And we heard it from his service side. We're going to see essentially leveraged use cases that, as you said, code. Remember the old days, oh, best practice has a PowerPoint PDF file. I think now the best use case is going to be, here's actual code that's leveraged kind of an open source framework where the rising tide or standing on the shoulders of the others are before you. You're going to see an open source paradigm around best cases, whether it's pre-canned queries and technology. That's one thing. And the big data add budget thing was one. But the other data point that Jim said, Jim Bachman said, professor at Emory University of Medicine, he talked about the instrumentation of devices in the ER, right? And he said, there are so many alarms going off. To me, that's the secret in this market, Dave, is to figure out how to extract the signal from the noise, right? So if you have all these alarms going off, if everything's being instrumented, the thing that's the most valuable is what to pay attention to. That's what he was saying. So to me, I think that the insights, the insight side of the business is going to be really the biggest thing. If all these alarms are going off, which one matters? That's a search paradigm. So I think companies like Splunk, IBM have it here with their insights. These are the tech that's going to bring that semantic contextual relevance. Well, so the other thing too that I think gets lost in all this conversation is this is a complicated situation for a lot of customers. How do you do this? Do you do this with services? I mean, it's really, and who are the companies that can actually implement these types of services? Who has the domain expertise, the technical expertise, and the implementation chops to get it done? Obviously, IBM does, I would say Accenture, I say this all the time, Accenture, Deloitte, Ernie Young, IBM, PWC, those are the five that have that capability. And there's a lot of smaller companies that are not as prominent, but they're maybe more local in nature that can get parts of this done. But services is a key piece of the equation that doesn't get talked about. So folks out there watching, if you're watching theCUBE, this is theCUBE live from IBM in Las Vegas. We're going to have a couple more interviews coming in and round out with the analysts at the end of the day, Ray Wang, Mervager from Gardner, Ray Wang from Founder of Constellation, Judy Hurwitz from Hurwitz Associates. We're going to get the analysts on here, we're going to break that down. But I want to share with you a URL of a crowd chat that we did. Crowd chat is a new crowd activity innovation that was launched by CrowdSpots, saying this is a crowd chat application platform. New startup that essentially takes the Twitter concept, Twitter chat and brings it with the LinkedIn and Twitter, creates kind of a chat room to the hashtag to the public feed. Go to that chat, it's over now, but you can see the transcript of how it went down. Vote, you can retweet, a lot of great comments in there. And Dave, crowd chats is an example of social business. I mean, to me, that's a pristine crowd record. No storify, no manipulation, the record from the conversations. So go to crowdchat.net slash IBM IOD and retweet. You can't comment anymore because it's now closed. We'll open up another one later tomorrow. But crowd chat, Dave, is social innovation. To me, that's about getting people together. And The Wall Street Journal had a great article this morning talking about Twitter's value proposition. That's people, and that's the same for IBM. So like in the spirit of IBM, this is social business and retweet. What I like about it is you get a number of people who care about a topic together in a place that is not overwhelmingly noisy, but at the same time is public. So, it's a great vehicle. Got some great questions this morning from the crowd chat, from the crowd, Tim Crawford and others. So thank you for that. Jeff, Kelly, quick take on competition. This is obviously IBM's event. A lot of IBM propaganda being spewed around. And they're professional, they don't have fake anyone. We try to have a joke about them having a flash tweet mob. If IBM had every one of their employees tweet on any topic, it would be trending, it would be bigger than Justin Bieber. But they're professional organizations, not come doing it with a black hat. But Jeff, talk about the competition. IBM, obviously, putting a pretty good offering out there. Absolutely, I think when you're talking about kind of an end-to-end big data portfolio, both services and products, it's hard to compete with IBM just in terms of the breadth and depth of those products and services. But I think the big, long-term, the big challenge, I think, the big competitor for IBM or one of the big competitors is actually gonna be Amazon. We heard a decent amount of talk today about the cloud. So we know that IBM, essentially, is really moving everyone from their smart enterprise cloud to their software cloud. And they really made a few announcements today around blue acceleration, for example, on the software cloud. I think that going forward is really gonna be an area to watch. Amazon versus IBM in this cloud battle for kind of big data analytics. Then, of course, on a... That was huge white space for IBM. That's software. Dave, software. I mean, come on, that's a hosting company. Come on, how real of an acquisition is that? Let's be critical of that acquisition. It's not like $900 million for a hosting company. Well, still, it's a growing company, right? It does a lot of bare metal, which probably resonates well with some of the workloads that IBM's trying to deliver. And it was, like I said, it was a huge gap in IBM's portfolio. They needed that kind of capability to even start to compete for... So you think... I think if they're gonna keep their lead, you know, we've started this market. If IBM is gonna keep their lead in the next five, 10 years in this market, they have to build out an enterprise-grade cloud capability. Otherwise, I mean, that's where big data is going. That's where those workloads are going. Software cloud is just a hosting company. Well, look, they've got a lot of work to do. Pretorical question, you don't need to answer it. We're stuck on time right now. We've got our next guest here. A little midterm analysis here from Dave Vellante and Jeff Kelly. I'm John Furrier with SiliconANGLE. We'll be right back with our next guest here. Live in Las Vegas for IBM's information on demand. A lot of big data analytics, cloud mobile, and obviously social business. We're here covering a two days live exclusive coverage. SiliconANGLE's theCUBE, we'll be right back.


In the landmark global burden of disease study, they compiled the top 20 causes of death and disability. Number 1 on the list was high blood pressure, 2 and 3 are smoke. The number 4 leading cause of loss of life and health was not eating enough fruit. Lack of exercise was number 10, then too much sodium, then not enough nuts and seeds, not enough whole grains, not enough vegetables. The number 18 was not getting enough long chain omega-3 fatty acids, like EPA and DHA, found in seafood due to their purported protective effect against heart disease. Even years ago, when this was published, however, they were already questioning the benefits of these fish fats, as more and more randomized controlled trials put them to the test and they failed. Accommodating in the recent meta-analysis that I profiled previously, that appeared to put the issue to rest. Cardiovascular protection isn't the only thing fish and fish oil consumption was hyped for, though. Omega-3s have also been touted to treat depression. But after taking into account all the negative results that went unpublished, there appears to be no benefit for major depression, or for preventing suicide, as I explored previously in my video on fish consumption and suicide, but what about for the prevention of cognitive decline or dementia? The available randomized controlled trials show no benefit for cognitive function, for omega-3 supplementation in studies lasting from 6 months to 40 months among healthy older adults. It may sometimes even make things worse. Higher current fish consumption predicted worse cognitive performance and greater past fish consumption in childhood predicted slowed perceptual speed and reaction time. This may be due to neurotoxic contaminants in fish, such as mercury. We've known that the developing brain is particularly sensitive to the damaging effects of mercury, but maybe the aging brain is as well. This would explain results like this, where higher omega-3 levels were associated with high levels of cognitive impairment and dementia. More EPA found in the cognitively impaired and more DHA found in the demented, presumably because of pollutants like mercury and PCBs in seafood that have been related to cognitive impairment or Alzheimer's disease. The same cognitive functions disrupted in adults, like attention, fine motor function, verbal memory are similar to those previously reported in children exposed in the womb. And the adults exposed to mercury through fish consumption didn't just have like subtle EEG brainwave changes or something, but observable deficits in neurobehavioral performance measures. For example, poorer performance on tests of fine motor speed and dexterity, concentration, some aspects of verbal learning and memory were also disrupted by mercury exposure, and the greater the mercury levels, the worse they did. But look, this study was done downstream of a gold mining operation, a process that uses lots of mercury. Other such studies were done on people eating fish next to chemical plants or toxic spills or eating whale meat. What about a more mainstream population? In fact, an elite group of well-educated participants really well-educated. Most were corporate executives, like CEOs, all living in Florida, and wealthy enough to afford so much seafood that at least 43% exceeded the EPA safety limit for mercury, and it had an effect. Excessive seafood intake, which they defined as like more than three or four servings per month of fish like tuna or snapper, elevates mercury levels and causes cognitive dysfunction. Not much, only about a 5% drop in cognitive performance, but a decrement that no one, let alone a health-conscious and achievement-oriented person, is likely to welcome. It's worth noting the irony of this situation, the fact that corporate executives who chose to over-consume seafood for health reasons instead sustained a drop in their executive functions as a result. Yet if a 4.8% drop in executive function due to excessive seafood intake occurs and highly functioning healthy adults with ample cognitive reserve, the major concern is whether similar mercury-level elevations in individuals already suffering from cognitive decline might result in substantially greater declines, particularly with cognitive decline dementia and seafood consumption on the rise.


Everybody, Matt here for late in sports cards, ripping 10 packs for Ben H. We have five of the 2023 Panini National VIP Gold Packs and five of the 2023 Panini National VIP Silver Packs. All right. Here we go, Ben. Good luck. We'll start off with your Silver Packs. Ooh, this is nice. Victor Wenbenyama. That is rookie, not number, but that is an awesome looking card. That's the first card I've seen of him in his Spurs Jersey. Very nice Wimby, Brunson, Rod and CJ Stroud. Rookie to 4.99. What's up, T Porter? Yolkich and Palo Vencaro. Rookie to 4.99. The breaker who looks like Ray Finkel, I'm not sure. Micah Parsons to 99. Patrick Mahomes, Ripley and Zach Charbonnet. Rookie to 4.99. All right. Gold Packs. One, two, three, four, five. Well, got a stick one here on top. Barry Sanders. Blue Ice, nice Lyons color match. That is to 1.49 and Greg Maddox. That is Gold Pandora, Jersey. That's 7 of 10. Green Ice, Jalen Hertz, nice color match. That is to 99. And Hinden Hooker, Rookie. Patrick Mahomes, Red Ice, Chief's color match. That is to 1.99 and Steph Bo Jackson. Blue Ice, Walter Payton. All right. Last pack for you, Ben. Dale Jr., Purple Ice. I think that one's a 75, no to 50. And Stone Cold, Hyper. All right. There you go, Ben. That'll do it for your packs. Appreciate it. We'll get these right out to you.


Hey guys, so today we're going to be talking about how to use sunglasses to completely change your look So it is not essential that you have multiple pairs of sunglasses, but it can be helpful and what I want to show you in this video is that Just by changing the style of the frame that you're wearing you can completely Transform your look and and I love doing this because you know You could have found something very simple like I do is very neutral and depending on the frames that I wear It will completely change the look the mood and the attitude of the entire outfit So what I've done is I brought in a little bit of my collection of sunglasses here These are my favorite pairs. I wear these all the time I just want to walk you through each one tell you why I like it and when I wear it Okay, so the first pair here are my absolute go-tos These are my club master style all over peoples the banks the model number is one one four five if you want to look it up These are my everyday Paraphrames, they're so classic and one thing I love about all over peoples is the really intricate detailing That they do on the bridge and around where the lens is held in It's just so cool It's a detail you don't really see unless you look up close But those are honestly my favorite kinds of details So I love these sunglasses because I can I can literally wear them with anything They look great with a suit. They look great casual. They look good business casual I mean you can't go wrong with a pair of club master style sunglasses Okay, next up are three aviator style sunglasses and I know people can be hot or cold on the aviator A lot of people just look freaking badass in aviators without even trying and some people Kind of have an aversion to it. They think the lenses might be too big or they just make them Feel weird and not not confident about it. But I used to be in that second group I thought I looked terrible in aviator sunglasses. I thought I looked goofy But then I kind of got over that and just said You know, I'm gonna try it. I'm gonna wear them and and I did I got a pair of rayman aviators with green lenses And you know, it really helps release your inner badass to a certain extent Wearing a pair of aviators and this is the thing you just have to try it and get used to seeing yourself in them Uh to be able to rock them So this is a pair that I like to wear It's got a gradient brown lens and these are my oh so 70s Sunglasses I like them a lot because I really like to wear blues and browns brown especially And I think the the gold frame with the uh brown gradient lens really compliments that color palette really well Okay, next is the classic persil 649 These these are just badass nothing. I remember the first pair that I got actually I was really Kind of lukewarm about them because they were a little bit lighter frame and they had photochromatic lenses And I remember putting them on for the first time four years ago And I thought I looked like terry richardson or something It just wasn't a look that I wanted to go for But uh, I I gradually got used to them and I got this pair and I love wearing them when I drive Especially they're great for driving because the lenses are so big you have so much coverage And uh, yeah, they're just all-time classic badass pair sunglasses Now speaking of all-time classic badass aviators I have another pair of persils actually that I like to wear and this is the 714 Otherwise known as the steve mcqueen frame. This has the folding bridge and the arms fold as well um This is I'll I don't wear this so much when I drive This is the frame that I like to wear when I go to the beach because I have the dark lenses Like the sand in mexico is white and I remember one day recently I I did not wear these on the beach and I regretted it because it was so bright But these these are just your old also your ultimate kind of badass pair of sunglasses Now if you're wearing aviators and you're doing some funky stuff with gradient lenses You're gonna want to have a pair of just straight up funky sunglasses and these are mine These are oliver peoples the one one three eight. They're super cool Very vintage looking. I I don't know if they're available Right now in the store, but if you look for one one three ov one one three eight s online, you might see some pairs pop up But again, like oliver peoples The bridge detailing on the metal is amazing also around the lenses and these these are like When i'm feeling it man, you know I I don't wear these often, but when I am feeling it I am super glad that I have them. They just really kind of helped me project a certain kind of mood And uh, I'm really glad that I found a pair of these a long time ago Now you've got to have a pair of wayfarers and the classic wayfarer again is is the ray ban wayfarer, you know tom cruise and uh, what is it risky business? I got these these are by oliver goldsmith called the lord You know, these these are bigger I've never worn a frame this big and as a matter of fact, I thought about sending them back Uh when I got them just because they were so big, but I'm really used to them now These are my these are my hollywood sunglasses My badass pair Don't tell me they're too big. I don't care because I'm such a badass when I wear these I don't care what you say So yeah a wayfarer sunglass Is another different kind of like cool badass kind of look So as I said in the beginning of this video Having different styles of sunglass frames is really great for when you want to You know change the look and and just transform the attitude of any outfit And especially when you're wearing a neutral outfit that makes it very very easy So it's great to have options when it comes to sunglass frames because you know You never know how you're going to feel when you get up in the morning Uh, you could you could feel be feeling funky So you put on the round pair or you're feeling classic So you wear your clubmasters or you're feeling like a badass. So You want to look like steve mcqueen. So you put your purse holes on, you know, it's all about Conveying something which is about which is what style is all about in general and sunglasses are just a great way to do that So that's it for this video, uh, leave a comment Give a thumbs up be sure to subscribe to the channel follow us on instagram And let me know what videos you'd like to see in the future So That's it and thanks for watching


What you call as my body is just a manifestation of fire elements. Earth, water, fire, air and space. If you know how to organize these fire elements properly, if you know how to keep these fire elements within yourself, then there is nothing more to life in terms of health, well-being, perception, knowing, everything, enlightenment. Everything is handled if only you know how to keep these fire elements properly. The most fundamental practice in the yogic system, which is the basis of everything else that we are doing is called as Bhuta Shuddhi.  Shuddhi means to cleanse that. If you learn to cleanse the fire elements in the system, that's all there is. All other yogic practices are an extract from the five, from the Panchabhutas system of yoga. If you do a certain level of cleansing for the elements, then you attain to what's called as Bhuta Shuddhi. That means you have mastery over the elements. If you have mastery over the elements, you not only have mastery over the body, over the mind, over the very creation. Seventy-two percent of your body's water, if this seventy-two percent of water in your body becomes sweet, it would be… you would be quite a wonderful person, isn't it? Yes. Another twelve percent is earth. If you make that sweet, eighty-four percent, very good percentage, isn't it? Another six percent is air. That's easy because we can control the air and create various situations. Yogic practices are there to make the air behave in a sensible way within you. Ninety percent. Another four percent is fire.  And you're married. So you need… sometimes you need some firefighting, isn't it? Another six percent is Akash or the space. Today once again, phenomenal amount of research has gone into what is Akash. They're talking about what's called as Akashic intelligence. Your ability to sit here is simply because the Akashic energy, the space is holding you in place. So the highest intelligence in creation is been… has been recognized as the space. It is doing things which you cannot imagine. It is throwing up creation just like that. So there is a way to treat it within you and outside of you. So knowing this, the fire elements, we produced a system through which you can take charge of the fire elements within you.  The very process of birth, living and death is one hundred percent in your control. If you take these fire elements into your charge, a simple process like this can change the fundamentals of one's life if you give yourself totally to it.


Hello, I'm Professor Jem Bandel and I wanted to leave this video message on my YouTube channel Because if you follow my work, I think there's something happening right now that I'd like you to know about The core team of the deep adaptation forum don't know I'm doing this video, but I hope they'll Recognize the ideas and appreciate it. So for those of you who don't know I Wrote a paper in 2018 that went viral. It shared my analysis and understanding of our climate predicament The paper was called deep adaptation and it's now become a movement of people who believe that it's really important to work from the premise of Anticipating societal collapse in our lifetimes due to climate change and environmental degradation of both the direct and indirect effects People come together in the now the deep adaptation forum with varying levels of collapse anticipation But the key thing is that they want to work from that that premise and I am I'm really pleased to see how it's been growing Since since I left so I left in in September at the end of September From management I left and then in early February I I left from the the governance group and the governance group now is is Very multinational multiracial predominantly women And I'm really pleased to see how well They're all working together and also how the the core team who a small group of just four freelancers But also to see how people have come from from volunteers to actually now be effectively Coordinating everything for example Katz whereas who was a volunteer is now the coordinator But looking looking back I realized that In a sense my experience with the forum from 20 early 2019 to September 2020 was almost like a honeymoon period for the movement and That's a kind of a weird concept isn't it for something which is So difficult as As an anticipation of collapse. I mean this is heavy stuff, but there was a honeymoon in the sense that People were so grateful to be able to find a place where they could connect with each other that with people around this premise and With a spirit of kindness and curiosity and compassion and respect and creativity wanting to actually offer a different way of responding to this then Kind of like the dystopian Hollywood movies or what you know, people might say always just gonna be people building bunkers or Storing tins and and buying guns the the whole idea of the deep adaptation forum is to not deny The latest climate science and the latest ecological science and the latest political trends not to deny the What that's suggesting we're now Facing and in not such the the long term But also they're not just to become defensive or xenophobic or you know wanting some kind of authoritarian answer But Yeah, it just began to happen just before I left. I mean I was already planning on leaving but um It seems that deep adaptation as a movement now as it's grown It's ruffling feathers and that means the work of the core team today is a lot more difficult And I think really needs our support more so than ever and And I say that as a as an outsider now. I don't have any formal role And I think what we're seeing is Starting from July last year, but continuing it's clear that there are external Criticisms for a number of reasons So the nuclear industry for example does not want any Any sense that there may be societal destabilization breakdown or even collapse within the coming decades because that would therefore raise the cost of New-build nuclear power stations because people won't want wouldn't want to ensure them or they wouldn't They would they would suspect that maybe they wouldn't get return on their capital in 20 30 40 years time And also regulators would start asking more difficult questions. And then you've got institutional investors You know if we start to think about there being a very Being very questionable in terms of having savings and pensions and such like because the future doesn't look like the financial system Will be robust and resilient and the global economic system will not be delivering our basic needs Let alone our fulfilling our desires then again, that is a concern for them and of course then you've got you've got the parts of governments that have a myopic view and think that their role is to protect the interests for example of nuclear or institutional investors so We've also got I think the some people now call them the the bright greens So the people who think that um all we need is more technology more hope more leadership And to avoid any sense that we might not keep World temperatures below a certain amount of warming which will lead to great destabilization of globalization and also our local economies And absolutely we're seeing them criticize more and more And ignoring people who correct them on their criticisms So for example, they like to pretend that I have said that there's a methane Bomb going off in the Arctic and I didn't There might well be one going off the science in the near future The science is is is debatable on that people like to you know that in and in the paper I talk about the The science that says there could this could happen I talk about the science that says it won't happen And I think we need to just keep keep keep our eyes Firmly fixed on what my may and may not be happening in the Arctic But I think there's something else which is that um There's the possibility that some of that some of those interests are Not only expressing themselves through external criticism in mainstream media And in any new books and so on but there's the possibility that that could lead in future to infiltration But that's with any social movement that becomes A bit of a threat to incumbent power or some chunks of incumbent power this can happen but I think Internal Disruption delay and such like Is actually more likely to happen now because of purely because as deep adaptation has become well known There are people who come at it with their own pre-existing agenda And so I think it now that the core team have a and their their volunteers that working together Have a real challenge to Prevent the cannibalization of the deep adaptation forum and therefore more widely the deep adaptation movement By people who have their own agenda Pre-existing political agenda there are whatever they're interested in or their personal grievances or whatever or even a business project and so I'm managing to just make sure that the deep adaptation forum and the deep adaptation movement is not used in In order to just give a platform to people who want to go and do something else or And perhaps also by disrupting it. That's quite a challenge and that's a new one So basically I think the honeymoon's over and I feel a sense of Well, I want to express Solidarity with with them and I think if you've followed my work until now I I think it Yeah, the deep adaptation forum needs You not just to participate but to help to help To help it support itself and that can include with money I Suppose what we need is within the movement. We need some stoicism and solidarity when problems arise but also The the things growing and you know, you have growing pains And it means that there are going to be all sorts of issues to manage and so I think the deep adaptation forum now Needs more funds than than it has had Over the last couple of years. I mean it really does operate on a shoestring It's just a few freelancers working two days a week each on on basically minimum wage and Choosing as volunteers to do a lot more than that So the deep adaptation forum are doing a crowdfund until the end of March The core team are and that's because they've also got a donor who said they will help match the funds that are that are raised from participants in that time and I don't know how I feel about this because We're living in a time of huge huge inequality Where for some people five pounds or five dollars a month is a really significant Outlay And many people who wear it isn't significant out outlay want to do that anyway because they they want to really Really manifest their commitment to this movement and to the forum and With their time but also with some funds and that's wonderful, but I also think There's huge inequality in the world where where a much more substantial donation, you know, it There are people for whom $10,000 really now means nothing and You know, if if that is you then you're seeing what's happening with global finance you're seeing with a Incredible amount of money issuance that's going on Because of COVID you know how inflation could completely take off at some point or there could be some kind of financial meltdown certainly over the coming decades, I mean What are you saving for? when you know that actually The deep adaptation forum exists in a way which could help your own society Be as calm and as thoughtful and the wise as possible as things begin to Fall apart or at least normal things change, you know, we don't have to make it worse with reactionary fear-based react policies so This is my thought I've decided that I'm I'm gonna give a thousand pounds to the deep adaptation forum today through the open collective platform and If you as somebody who does have money That you know, it really doesn't need to worry about budgeting for the rest of 2021 then please Give something substantial such as a thousand pounds and If that's not you Then Do you know anyone who might be like that that is sort of teetering around maybe they're fully involved In deep adaptation or maybe they're just teetering around the edges and just talking about it privately But don't feel like getting too public in engaged. Well, they could make an anonymous donation through the platform so Yeah Send them this video Ask them before the end of March March 31st, 2021 Please make a substantial donation because otherwise Yeah, what are we doing if it's just people Who are giving five pounds here and there, you know that that's wonderful, but really How many five pounds do you need to make up for say a one thousand pound donation? It's it's a lot of people to convince and the core team It's only if you know for people working part-time they really need to focus on The work they're doing all the amazing stuff So go to deep adaptation info and you can see all the amazing stuff But also now they have this huge role of trying to help Hold the center of what is now becoming a global movement that is ruffling feathers of Incumbent interests in industry And in government as well as people coming along wanting to use it for their own whatever's So yeah, we need to support them so this doesn't get ripped apart doesn't get Marginalized doesn't run out of steam doesn't get cannibalized That it can provide that crash mat for people who come to an awareness of Future not being what they thought it was and and finding other people to help process those Difficult emotions and find a really positive place to stay with this awareness for the rest of their lives while really doing Good things in the world whether that's in their organization in their communities or just with their families So thanks for listening. I guess I've waffled a bit. I I don't yeah Open collective deep adaptation. I'll put the link in the YouTube Nets. Thank you