We're broadcasting. Welcome to the Center for Global Enterprise Global Scholars Expert Connect series, leading the digital supply chain. My name is Ira Sager. I am vice president of global learning initiatives for the Center for Global Enterprise. This is the fourth in our series of six expert connects on the digital supply chain. In today's session, the second on digital supply chain technology enablers, we explore another important technology trend, artificial intelligence, and machine learning. Before we start, a few housekeeping people will be, all right, now I might mute button off. Welcome to the Center for Global Enterprise Global Scholars Expert Connect series, leading the digital supply chain. My name is Ira Sager, and I am vice president of global learning initiatives for the Center for Global Enterprise. This is the fourth in our series of six expert connects on the digital supply chain. Today's session, the second on digital supply chain technology enablers, we're going to explore another important technology trend, artificial intelligence and machine learning. But before we start, of course, there's a few housekeeping notes. Next week, there will be no expert connect because of the US holiday. We will be back on July 10th at the same time for discussion on another critical component of the digital supply chain, and that is people and your talent. But today's session, as with all sessions in this series, will be recorded and posted on the CGE YouTube channel. At the end of the presentation, you'll see a slide with the upcoming schedule for additional expert connects, the two more that we have in this series, as well as a link to the digital supply chain institute website for more information. We encourage you to both come back for the other two webinars and also to go to the DSCI website for additional information. We will leave approximately 15 minutes at the end of the session for audience questions. You will also be able to give us questions throughout the presentation. You will see on your screen a little button, a feature of Q&A that says Q&A. Please use that feature to submit your questions. We'll try to get to all the questions time permitting. As I mentioned, today's expert connect is about the effective use of artificial intelligence and machine learning. Our presenters will discuss how to use AI and ML to anticipate future demands and to predict the likelihood of future risks and why all that depends on those algorithms and software but on breaking down organizational silos and barriers. Today we're fortunate to have two experts with us that have experience with this important emerging technology. Our presenter is Shawn Numan, technology research leader for CGE's Digital Supply Chain Institute, where he has been leading our work in this space. Joining Shawn as co-presenter is Pablo Zegers, founder of Aparatix, which is based in Santiago, Chile. Pablo is leading a team in charge of building advanced commercial artificial intelligence algorithms for all types of applications but he's been involved with AI projects for the agri-tech sector and for contract life cycle management. With that, I'll turn it over to Shawn and Pablo. Thank you. Thank you, Ira. Good morning, good afternoon, good evening, everyone. Thank you for joining us on the second technology session. Next slide, please. What we're going to talk about today is the impact of artificial intelligence, machine learning and why you need to consider it and how it may fit into your business model. We're going to talk a little bit about what's the difference between artificial intelligence, machine learning, deep learning. Those are all words that they get thrown around in the press interchangeably. They really are very different topics, so Pablo is going to take us through and talk about the differences and talk about breakthroughs and artificial intelligence in the machine learning arena. And then we're going to talk about the impact that the technologies will have on the digital supply chain. Should be a good session. I look forward to active participation and hopefully we'll have a lot of questions as we did during the blockchain session last week. Next slide, please. Going back to our data model that I think has been a common theme through all four sessions to date. There are many new sources of data as a result of the advances that technology has made, the availability of sensors in the Internet of Things, social media, text data, images, videos, audio that produces both structured and unstructured data than that needs to be organized and cleansed and maintained. And you need to look for patterns across that data that affects your business, could impact your business model. So going forward, data courses becomes extremely important, the reliability and trust of that data, knowing what you have and how to make sense of it is important. So what we're going to do today is talk a little bit about how you make sense, how you organize that data, how you make sense. The yellow ring really in the middle of the slide that talks about artificial intelligence and machine learning. And of course, what pulls it all together and what differentiates you as a business from your competitor's business is how you employ the data that is available to you, make sense of it. And that really is by creating the algorithms that allow you to manage your business and differentiate yourself. So in the center here, we've got the algorithm console there in blue on this slide. That is something that is very important as you move forward with analyzing the data, assessing the impacts on your business, changing your, adapting your business models to the information that's available, changing your workflows. You really need someone to govern and guide that information flow and the changes that are created as a result of the information. We think the algorithm console is a name that we've come up with, but it's something that you will find, I think, going forward in all companies in the not too distant future. Next slide, please. In fact, we just published the results of our annual survey. I believe they were published either yesterday or late last week. We surveyed 112 supply chain and C-suite executives that responded to the survey. And a couple of the questions we asked is, do you feel that you need to get better at collecting and analyzing your data? 90% of respondents said absolutely, either agreed or strongly agreed that that was something they needed to do, needed to look at what was out there and categorize it. Next slide, please. However, 88%, you know, almost the same number that says we need to be better says we lack capability today and we need to dramatically improve our ability to analyze the information that's out there and to deploy it in our business model and enable us to manage our business better and to shift our focus to the right places. What we call the front side flip, looking at your customers, their needs and wants and ensuring that the supply chain is properly positioned to respond to their demands and needs. So there's a big gap. People recognize the information's out there. They're not quite sure how to use it, how to organize it, and they certainly realize that they're not making the use out of it that they should be and need the algorithms probably need to change their skills a little bit, change the organizational structure in order to remain competitive in the future. Next slide, please. So let's take a look at artificial intelligence and machine learning in a perspective here. This perspective came from Irving Waldeski-Berger. He happens to be a CGE fellow. This is from an article that he published in the Wall Street Journal last week. His view is that that artificial intelligence really is a general purpose technology. It is as meaningful, as important, and as generalized as as the internal combustion engine, electricity, computers, and over time we will we will see the the shift in importance of artificial intelligence. What AI really does, and if you look at if you look at computers, you know, I'm packing up a step here. Computers enabled digital operations by enabling arithmetic calculations in a in a quick and predictable manner. It reduced the cost of performing those calculations. It enabled us to do things faster, enabled us to automate those calculations. If you look at the internet, the internet really was a reduction in communication costs and in access to information. No longer had to pick up the phone and call people. You could you could shoot quick emails. You could you could research things quickly. You could communicate far more effectively than than you could before. Another game changing technology. AI is is is no less of a game changer. What it does when you think about it is it enables better forecasting and predictions, which enables more rapid innovation. Today, there's a proponent is a big data it's ubiquitous. Collecting it's a challenge. But things are instrumented out there in every business process you have is connected to big data in some way shape or form. Machine learning has has really made taken AI out of the out of the research room and and enabled it to become a mainstream technology. Because it's with machine learning, the your the artificial intelligence component becomes self learning. We're going to talk more about that. You need to you need to influence the machine learning algorithms, you need to direct them, you need to make sense sometimes out of out of what the information is telling you. But once you establish a set of rules, then then the machine learning process has become iterative and improve over time. AI will likely be one of the most significant general purpose technologies of the century, although we're very early into the century. But you know, much like blockchain, I would say blockchain still in the research phase at this point. AI is more advanced, is more general, the use cases are more broad. But AI is also in the early stages of deployment. Most of what's out there and Pablo will talk about this as we move forward in his section is is what I would call narrow AI use cases, very specific tasks API interfaces, you you feed it information and and it adapts and and learns on a very specific and focused area. So we're in the early adoption phase there. Next slide, please.  Okay, thank you. So if you look at if you look at the technology and the technology that's become available over over the course of mostly the past decade. And I think Hans Thauber from SAP says it well that to win in the digital economy, we have to reimagine how we do everything, you know, whether it's design, deliver, operate our products, what the assets are, creating digital assets. And one of the things that has enabled us to do that is cloud and mobility. So if you think about the the three Vs that are continuously talked about in big data, you've got you got volume, which is the quantity of data and where you store it. You've got the velocity of data, which is how fast it it comes in. Is it static? Is it? Is there a time delay? Is it real time? Is it streaming data? So you got to deal with the velocity? You got to deal with the variety of data? Is it? Is it structured? Is it unstructured? Is it? Is it a spreadsheet? Is it a database? Is it? Is it email? Is it social media? Some sort? Is it a video? So you got you got a wide variety of data that you now have to deal with in the future. But really, when you look at cloud and mobility, what that has enabled is the volume of data and in the velocity of data. It allows you to access data very quickly, categorize it, move it around, analyze it, and then storage is ubiquitous. You store it in the cloud, you got apps that are born in the cloud. Pablo will talk a little bit about this in a few minutes. So you've got a lot of AI interfaces, you got a lot of machine learning capability. Those things are all being born in the cloud, where the data is is more frequently residing and enables you to analyze things really, really outside your your infrastructure boundaries of your corporation. Next, please. With with with the ubiquitous data, we've got sensors out there. We've got automation capabilities. So you take all those data sources that we've talked about. And it's really this is where the variety of data comes in, right? You can think of cloud and mobility as volume and velocity, you can you can think about the sensors, the information gathering out there, the ability to to mine things that that are posted, or or across the internet, that really is the variety of data that is being the collection of data, which can then be automated and transmitted back to back to the cloud. Next, please. And then you've got you've got a collaboration. We talked a little bit about that last week with with blockchain. And, and, and there's really a fourth element to data. People talk about the three V's just really a fourth one, which is velocity, which is how how reliable is the data, how clean is it. And moving moving forward, that becomes increasingly important. Blockchain enables you to share data across enterprise boundaries, as we talked about last week, it enables you to collaborate. But as important as the veracity that you've got some faith in the data, because of the consensus driven algorithms that that enable you to rely on that data is as being being relatively clean or high velocity. And then with AI and ML, I think if you hit her again, there's a another header that shows up. You're really talking about augmentation. So it's augmenting the the the information that's out there. It's enabling you to optimize it. It's enabling you to predict what's going to happen with a with a high high degree of likelihood. Next slide please. The point between automation and augmentation is is important.  And you have to make sure that that you know the outcome you want to achieve when you when you solve that. So are you really improving human productivity? Or are you looking to minimize the involvement of of humans in the process? And that's really the difference between automation and augmentation. So automation, you got things such as chat, chatbots for operational procurement. You've got defined well defined business processes such as those for compliance or auditing. You've got autonomous vehicles that move around the warehouse, these sort of things that you're looking, you're looking to minimize or automate the process. The case of augmentation, you're looking to you're looking to make the the humans in the process smarter, give them more information and allow them to make decisions more rapidly. Allow them to to guide the the the information and and make decisions from it. And of course, over time with machine learning, more and more of those those decisions get get moved into a a automated learning mechanism of some sort. So demand and inventory forecasting. And this is why the the algorithm console is important. How do you want to prioritize things? What's important to your business? What are you correlating? How do you how do you feed the the algorithms? And how do you direct the the machine learning and artificial intelligence capabilities that you have at hand? So again, complex, but really think in terms of, are you automating or you augmenting? And in how you're going to approach it? So as as we move move to Pablo's section, he'll talk about supervised unsupervised reinforced learning and how they're applicable to to managing your business. Next slide, please. And it's over to you, Pablo. Thank you, Sean. Hi, everybody. First, it's important to define what's artificial intelligence. The problem with the definition is that almost nobody knows what intelligence is. So that's why I rather use the term invented by Alan Turing, a universal machine, a machine device, hopefully to solve all possible problems. That's much clearer than artificial intelligence. And just to clarify, a robot is not the same as an AI, a robot can be a very clever mechanism that does a very complex, complex task. But it doesn't necessarily have an AI. So it's important not to confuse. Next slide, please. Now, the thing is why it's important. It's important because it's the first science that studies all sciences. When you when you work in artificial intelligence, you are somehow trying to make a machine that does philosophy, but also behaves like the philosopher or works with law, but also behaves like a lawyer. So you're trying to mimic to work and mimic everything related to the human knowledge and humans themselves. So it's what's called a meta science. And of course, with AI, we can produce, we can make machines that are able to perform very complex tasks. Everything that can be measured, everything that can be reduced to symbols is subject to the study of artificial intelligence. So that's basically almost everything that's in science. Next slide, please. Just to convey an idea of the complexity of the field, this is much more than mathematics, much more than psychology, sociology, economy. We are trying to model human beings. So if you start from the left on this diagram, you see that we are trying to model perception, which allows us to work with present, with the present, almost everything that's happening now in machine learning and artificial intelligence relates to this. Then with memory, we can we are able to work with the past. Research now is focusing on memory, how to use the past and mix it up with the present. Also introspection or imagination, because there it's where we plan and we produce alternative futures. So past, present and future, that's the main focus of machine learning, artificial intelligence right now. But it's a mixed up. Machine learning is just a subfield of artificial intelligence. Artificial intelligence has have existed as a field since 1957. And machine learning, it's a rather new subfield of artificial intelligence. And the two of them are complementing each other. To add to this, you need to add all the what's called the apiary knowledge, for example, two plus two equal four, that doesn't depend on our experience. It's true anyway, anywhere. To that you have testimony, which is communication between everybody, how to grow knowledge. And finally, you need to guide everything with ethics. So that's the most complex thing in artificial intelligence right now, how to mix ethics with these machines, we need machines that are able to behave in an ethical way. You see all the discussions about biasing in companies, gender issues, everything related to those topics is extremely complicated, and somehow needs to be reduced to machines. Next slide please. This is for those that are going to see the slides later. A description of all the main fields in artificial intelligence, specifically machine learning. You see lots of names like K means, K nearest neighbor perceptrons, boosting residual neural networks, then you have a statistical learning of Avni and Chervonenkes, lots of things that are very, very mathematical. This is not like programming where you, for example, you learn Python and you start building up an application. And once you finish, the application will behave as you expected. This is a totally different thing. It's very mathematical, but you need to know about philosophy about psychology and mix everything into something that has to be devised in a process that it's more like alchemy. It's more than art than a system. Next slide please. Just to clarify things, you have artificial intelligence. Within artificial intelligence, you have machine learning. And within machine learning, you have deep learning, which is what's famous now. And deep learning is using a metaphor, like our brain is composed by neurons, biological neurons. You have a sketch of them on the right side of a screen. Deep learning uses artificial neural networks, which are depicted in the lower diagram. And then you mix up millions of them, and you train them. Train them as just to a euphemism, to describe a process where you find the parameters that make them work together. Next slide please. What's important is to understand why this is happening now. Artificial intelligence has existed as a field since 1957. So how come now is making all this buzz? Well, something happened. In 2011, things that were extremely difficult were solved in a matter of months. And three months later, things that were thought to belong to science fiction, science fiction had already been solved. So what happened? This was understood recently in last year in April 29. Two researchers from the Hebrew University of Jerusalem discovered that there was a mathematical theorem that explained how to build complex systems out of simple ones. So this explained how we had been able to build these such wonderful and complex systems with such easiness. And what's happening now is that everybody is adjusting to this discovery. Because this is not, this is very important to understand. This is not like a mode, for example, the color of the clothes we use or the type of car we use. That totally depends on our decisions. But when you're based on a mathematical theorem, this is like we've been operating on two plus two equals five. And it was discovered that two plus two equals four. So everybody's switching to two plus two equals four. Because if you operate under those grounds on top of those grounds, you will be safer. So that that's explaining the breakthrough we're experiencing. Next next slide, please. Just to give you a brief sense of the things that have happened. On the right side of the screen, you have an image that has been labeled by the computer. On the right hand of the image, you see a glass of water with ice and lemon. This was labeled by a computer that had never seen the image before, without human intervention. And it was achieved in 2015, three years ago. Now this can be done with video. And they have totally surpassed the human capacity for doing this kind of things. Next slide, please. Here you see how in 2016, a year and a half ago, December 2016, researchers were able to produce fake imagery. So on the right hand of the screen, you again have, for example, flowers. On top of the flower column, you see a text. This is an artificial intelligence that just received the text and produced the bottom flower. So the capacity for producing totally fake images was reached one and a half years ago. And less than half a year later, the researchers were able to produce totally fake high definition video that was undistinguishable from the real ones. Next slide, please. In terms of manipulation, things are more complicated. Because even though artificial intelligence is ready for handling very complex manipulators, the manipulators as capable as the human hand still doesn't don't exist. So we cannot have the same human capacities. Next slide, please. In terms of language, this is sort of a boring example, but it's very impressive. On the right hand of the screen, you see a large paragraph on top of it. But on the bottom part of that column, you see a summary that was produced automatically by artificial intelligence. Artificial intelligence now can understand text, not only translating word by word, but understanding their semantic meaning so that they can produce useful summaries. This is from May 2017. So a year ago, I think it's an example from Salesforce. Next slide, please. This is a very simple, this is Google Translate. On the right hand, you see a diagram of the neural network, the deep learning architecture that's handling only all the translations. Each of those boxes has thousands of artificial neurons that need to be trained in very complex computers that many times take months of training. Next slide, please. And finally, to summarize the advances, here you see the Alpha Zero paper, where they show, this is from last year, they show a machine that was able to learn chess and top the best humans in less than four hours, which is absolutely impressive. In just four hours, being able to dominate the field, discipline and game that had been developed by humans in thousands of years. The machine automatically discovered most of the main combinations you can learn. It could take, for example, to me, years to learn that kind of things. It only took four hours to the machine. Next slide, please. So now what you see on the commercial side, you see all type of AI engines. Everybody's trying to grab a piece of the market. You see TensorFlow from Google, Azure and the Lewis from Microsoft, recognition from Amazon, Watson from IBM, Core ML, Apple, Einstein, Salesforce, the EPU guards of NVIDIA. Many of them are springing up, appearing everywhere, focusing on hardware, different problem, et cetera, et cetera. Next slide, please. So in terms of business applications, you see how they're pervading the market. But first, one of the most important ones are personal assistants. And here you see two major pleasures, the Echo and a plus Alexa of Amazon and Google Home from Google. Next slide, please. In terms of the companies, you see two trends increasing revenue. And here you see the ideas developed developed at the DSCI, where you have to model the customers.  Next slide, please. And we're using cost. And this is taking mainly the following approach. They're using a system called RPAs, robotic process automations, where you can mix them up with artificial intelligence, and then you're able to process to, for example, device machines, those processes that are able to handle documents like people in companies. There are three major players, automation anywhere, blue prism, UI path. Next slide, please. The problem is the high level of the expectations. We've seen so many movies that we expect everything from artificial intelligence, but now we only have narrow AIs, AIs that are able to solve very specific problems. So before you introduce them into a company, you need to have people determine where in the company, then you need people to adapt the artificial intelligence, and then you need people to operate the artificial intelligence. So we are really far, if will be ever possible, to replace all the people. We need hybrid teams. Next slide, please. This is just to exemplify the hybrid teams, and an experiment done in 2013 by the Carnegie Mellon University at the Robotics Institute, where they were able to reduce the time needed to weld the chases of a handi from 89 hours to less than a third of a time. And in the 89 hours, they used three people. And on the other side, just a computer and artificial intelligence, a robot and one person. So that's an example. Next slide, please. That's your time, Sean. Yes, why don't we stop here and see if we have any questions? Or do we have any? No, we don't have any questions yet. But let me remind people that the Q&A function is available. If you have questions for Pablo or Sean, just write in that feature, we will come there and pull out your question and ask Sean and Pablo. Okay, we'll give it just a minute here. See if any questions come in. I have a question for Pablo, since we're waiting for others to enter. Pablo, are there any issues with standards in the AI field that we will need to see companies hash out? That's a very good question, because now there is a huge fight between the companies that are building the AI engines, and each of them is pushing for their own systems, trying to make them the standards. It's very complicated from our side companies, because now we're in a scenario where we have to use all of them. There are no standards yet. Very good. All right, we have two questions here. And when I got a lot, Lee asks, how are AI and ML related to the supply chain? And I'll ask a follow up. Dimitri also asked a similar question, do we have some examples of application and supply chain management? Pablo, would you like to take that one and talk about what Anastasia is seeing as you talk to your customers? For example, what we're seeing here in Latin America is that with artificial intelligence, you can measure forecast the behavior of the customers and predict it. So immediately you can start using the results to manage the entire supply chain. It's very, very interesting because normally companies have not thought about this in these ways. But with this, we are able to forecast the demand of people, the customers, and also the demand from the supplier point of view. So definitely, unless you're able to, you need to build these very detailed, very precise, artificial intelligence models of the dynamics of the companies in order to correctly manage the supply chain. Good. All right. Sean, why don't we continue there as the other questions come in? We'll, we'll get to them at the end of the session. Okay, all right, we can do that. Although I see, let's answer Greg's question here. He's, he's asking, are RPA tools using AI which is doable today? Yeah, definitely. Yeah, I'm saying that here in Latin America, I see that people are implementing RPAs and adding artificial intelligence to handle, for example, documents, they receive a document. The RPA extracts the information that goes through artificial intelligence that takes decisions concerning the process. So yeah, definitely. That's a yes. All right, Sean, do you want to take this next question? Let me, before we do that, let me, let me add to Greg's RPA question, in that I recently saw a demo by Budweiser, where they, they use our RPA to, to manage the last minute loading of their trucks when they have an order cancellation and they're looking to, to backfill a shipment. They, what used to be a very much of a manual process, they have now implemented a, an RPA solution that, that enables them with a, with high, with a high degree of probability to, to fill the, the space in the truck with what will likely be ordered while the truck is in transit. So that, I thought that was a pretty good, pretty good example. All right, let's, let's move on here, because I think there'll be some more questions coming up on, on a future slide here. But summarizing what Pablo had to say about, about AI and what it is and how it's being used and what, what, what the state of the art is, really, you need to think about outcomes that you're, that you want to be focused on. Are you talking about automation? Are you talking about augmentation of an existing process? What is the, what is the right solution? What is, what is the right platform for implementing that? We talked about, about the four Vs, the last being a veracity, as you, as you embark down the, the artificial intelligence and augmented machine learning, start with good data, start with data that you've got a high degree of confidence and high veracity seed data, that relatively clean data set, and make sure you've got consistent feeds and in downstream supply visibility, so that as you, as you improve your machine learning algorithms, as you improve your business models, that, that you're going against a relatively clean data set to start with, so that you can, you can start recognizing the, the anomalies in the data going forward. And many of the platforms can assist you with that, but it's important to start with a, a, a data set that you know is, is relatively clean. And then of course we talked about the human interaction, reinforcing learning models, feeding the, the machine learning algorithms, adjusting, adjusting for, for your, your business changes. If you don't know what vector auto regression is today, you probably will sometime in the near future, because it's certainly an important tool for, for correlating data in, in optimizing the machine learning algorithms. Keys to effective implementation, operationalize one process at a time. As Pablo said, most of the use cases that are out there today that are generally available are, are, are specialized, they're narrow AI cases. Look at your, look at your process, your workflow, experiment one use case at a time. As you, as you find ones that are valuable to your business, then I can continue to, to improve those. I continue to take advantage of the data that's out there, leverage the platforms. This is a, this gets into an interesting conversation. And that, you know, with, with AI, and the various platforms that are out there with machine learning and the various platforms that are out there with, with deep learning capabilities. There's a lot of tools that a lot of companies have spent a whole lot of time making investments in. Think about where, as a company, your competitive advantage comes from. Because that's what's important. And that's really in how you use these tools, the algorithms that you create, how you, how you feed them. There are also open algorithm sources out there today. You know, I was talking to one of the members not too long ago in, in their view was that the algorithms are a commodity. I don't necessarily share that view. Their view was what's important is, is the weighting that you give to the, to the data that feeds, feeds the models. But certainly as you move into the AI platforms and the machine learning platforms, those are things that are out there. People are making investments and take advantage of them. That's probably not where you're going to get your competitor advantage from. You, you don't need to be writing the AI platform. And, and you probably don't need an army of data scientists to do that. Pablo is, is a data scientist. He's from Chile. It's a fairly, fairly progressive country. Pablo is, is one of a handful of, of data scientists with the PhD and in Chile. So those, those folks are, are scarce. They're going to be leveraged across multiple companies, such as, such as what Pablo does.  And, and how you're going to make use of the investments that, that others are making. Expectations are high. We mentioned that it's, it's early in the, in the adoption cycle at this point. But tremendous gains are being made very rapidly as, as Pablo showed during his presentation, as he said, this was three years ago. This was two years ago. This is where we are today. Major, major inroads are being made very quickly. Next slide, please. So we, the, the Institute published, published a paper, I believe, back in March, talking about, talking about AI in a machine, machine learning and how that will apply to, in effect, your supply chain. It's, it's a, it's a well written paper, if I do say so myself. And it's, it's got a lot of good info and valuable information in it. I would, I would direct you to the, the Institute's website. If you haven't downloaded, read the paper, read it, please, I think you'll find it very valuable. A number of things that we came up with words, our top 10 list, you know, what are the top 10 ways that AI and ML is going to transform your supply chain. Now, first of all, is, is data, the 80-20 rule. You know, today, your data scientists are spending things that, spending the majority of their time doing the things that are least satisfying to them, and probably not a productive use of their time, which is a cleansing data. So we got to reverse this. Instead of them spending 80% of their time trying to come up with high-varosity data, need to, need to take advantage of the machine learning tools that are out there and reverse that, so that they're spending 20% of their time teaching the algorithms how to evaluate data and dealing with the anomalies rather than the 80% that they're doing today, and that they're spending, and that these, they flip to spend the majority of their time on assessing the, the data, and, and figuring out how it impacts your, your business model. You got, you got the ability now as a result of, of the data and the information feeds to do real-time demand simulation targeted advertising. You can do dynamic pricing much as the airlines do today. You can change, you can change the price of your goods and services based on the demand that you're seeing out there. As you analyze your data, you're going to say, you're going to find new product opportunities. You're going to find some surprises and, and deal with those surprises. Generally, it's, it's good information. You may want to adjust the way that you market. You may want to adjust your supply chain. You may want to target a new product. But that's the capability that you have in the, in the digital world as you, as you transform your business. The data visibility will reduce your risk. Algorithms are, are important. You know, no bones about it. That's, that's where the battle is going to be in the future. You're going to need an algorithm console or some sort of governance structure to, to deal cross business units, cross, cross business processes to ensure that, that you're taking a holistic view of your business and adapting your models as you, as, as you digitize your, your business models and discover changes that, that can be made. You have to prioritize that. You have to adapt your business models. You have to ensure that you're, you're, you're prioritizing the information in the, in the correct way. And that'll become increasingly important. And then we haven't talked about it yet. I think we will in the next session. But all this will drive changes in the, in the skill sets that you need. Those people that you have on board today will have to change and adapt their, their talents. And you're going to need need some new skills. You're, you're going to need a Pablo or two to you're going to need a data scientist. You're going to need, need somebody who is, is skilled in managing the, the day-to-day information flows. Next slide, please. So really, you're going to see an intersection between your supply chain specialists, your data scientists. This is, this is what next week sessions all about. You're going to have to look at organizational impacts. Do you put your data scientists, your data information specialist, you put them in the business units? Do you, do you organize them centrally? Do you create a, if they're in the business units, how do you create a community, cross business units of the data scientists that allow you to, to leverage best practices and exchange ideas amongst them? How do you integrate the new skills with the old skills? And, and, and find that intersection that enables you to, to optimize your, your HR performance. So challenges, challenges to think about next week's session is, is all about this and it will go into, into a lot of detail. Before we move on to the, to the closing comments, let's, let's take a look and see if we got more questions here that, that we might want to talk about. All right, let's see, Raj asks, what is the spectrum range of applications starting from business intelligence to cognitive computing in the context of supply chain? Okay, that sounds like a, that sounds like a master's class. That's a broad question. Yes, very broad question. Pablo, you want to take a crack? For is, for example, what I'm seeing in the market are recommendation engines from the business intelligence side. For example, demand forecast as well. And on the other side, cognitive computing, you see everything that's related to personal assistance and handling human, human language. I don't know. I guess we can talk about this for hours. This is a cool question. Yes, yes, we could. Let me, let me ask a slightly different question, Pablo. Pablo works for a AI firm called Anastasia. And he has a lot of, a lot of commercial interaction with with clients around, around Latin America, Chile, Argentina, Mexico. When you go out and talk to your clients, Pablo, what are the things that they are most interested in hearing about in, in learning how to apply to their business? Well, that's interesting. The first thing they're secretly hoping is to have a sort of a useful terminator that solves everything. They've seen too many movies, like all of us. That's the first thing. The second thing is that they, the language is universal. They want to increase revenue and they want to decrease costs. So if you somehow translate the technology, artificial intelligence into that, then we, all of us are talking the same language. So now, for example, in concerning a recommendation engine, we are running for an important company in Latin America. We managed to get a 20% increase in the revenue in the channels that where the artificial intelligence is operating. That's the kind of things they want to, to listen to. But this is important because we have to work hard in order to produce numbers. Because if not, it turns into a political thing and ends up in, I believe you or I don't believe you. So they want to have numbers, objective numbers that have been measured, so they can prove that whatever technology, in this case, technology, artificial intelligence is useful for them. So that's the kind of things they want to hear. It really is proof of value once again. Folks, folks aren't interested in proof of concepts. They want to know what the value is that can be delivered from a, from a project or a use case. Yep. Pablo and Sean, I have a follow up question that I want to ask. And as you look at artificial intelligence and machine learning and you apply it to the supply chain. What do you see specific jobs, functions, tasks being automated? And the flip side of that, do you see new roles being created? Yeah. On my side, I see, well, firstly, the simple ones, not simple, sort of obvious is that you need people that know more about artificial intelligence, not the details, but how to use them to understand basically the limitations and to understand how to use them as a legal break, legal break, to assemble more complex things in the company. Then another field would be people that map typical processes into these new ones where you get these hybrid schemes with artificial intelligence and people working together. So we'll need that type of people. And companies are not used to thinking those ways. I agree with the idea of the algorithm council, because now companies are used to handling groups of people and technology that's fairly simple compared to this one. Because this one is autonomous. And it's handling very complex things. So you need different type of management. Also, you need people that sees the companies in horizontal way, because these machines interact with the customer, immediately create a marketing campaign directed toward the customer, then go to the logistics section, operational section of the company and check for the stock, for example. So they cut through all the silos, the internal silos. So it will be there is a need for people that also looks at companies and horizontal ways. Yeah, I think that would be Okay, and Pablo, we've got another question here that that I think you've partially addressed in your discussion here. But Greg Millen is asking, what's, what's our view of of how AI evolves over time or replace humans as as Jack Ma spoke about? Or will it augment humans as as Junior Medi at IBM talks about? What's your view? I've been reading a lot about that in the last years. Nobody's certain about what's going to happen. But I think we humans are much more complicated in some senses, and that's what we we know. And in other senses are where we're much simpler. So some important aspects of the society are going to be replaced by machines. And I don't think others are going to be replaced by machines. Creativity could be. Yeah, true.  But definitely much better than myself. I am not an artist. So normally, we tend to compare machines with the best humans in a certain field. But the problem is that all the rest are not the best humans in that field. So we could be replaced by a machine. So that that brings interesting problems, like the question is posing. It's still an open problem, I guess. But we're headed for a big change. That's my bet. Yes, it really gets back to the, to the discussion on automation versus augmentation and in in how that changes over time. You know, certainly the augmentation automation bucket is going to going to grow dramatically. The need for augmentation is going to become higher level, I think, and more specialized over time. Why don't we move on to the closing slide here? So some closing comments here and Pablo, let's do this interactively if we could. You know, I think that AI and hopefully what we've shown today is that AI and machine learning capabilities are really essential to your digital transformation. It's the only way you're going to leverage the data and the sources that that are out there today make sense out of it. And humans can't do things nearly as as quickly or find that it's find the same patterns that that properly focused algorithms can. Consider the consider your business models, you're going to find some surprises. You're going to find probably many surprises and you need to, you may find new markets, you may find new products that that fill gaps. But you know, one thing I can guarantee is that as you as you organize and make sense of the available data that's out there using artificial intelligence tools, you will you will find some surprises and you'll need to and you'll need to adapt to it before your competition does. Yeah, I agree.   Obviously, when I'm sorry, I would like to compliment compliment with something is that concerning strategy. For example, if you see the strategies of Google, Facebook, all the big ones, Amazon, yeah, they have they have sorted out the very interesting strategies, but they still don't get it. It's even difficult for them. So if you don't have a strategy, you will be totally lost. Yeah, thank you. And then algorithms are going to become a source of differentiation. It's not the AI and the ML tools are going to differentiate you. It's going to be how you use them, how you apply the algorithms, how you how you correlate your your information to your business model and assess the priorities and the impacts, which means that algorithm consoles or some form of governance is going to be necessary. We call it an algorithm console. I think it's a good name, but it's it's it's going to become standard practice. Pablo closing comments. Yeah, I like the the idea of the algorithm council as well. It's a new way of integrating all of this. And I think there won't be other way. And we we are seeing this type of changes starting to happen here in Latin America as well. So that validates it. They have given them different names, but they're heading towards the same structures. I agree. Yeah, Pablo, I'd like to thank you for participating with me today. It's been a been a pleasure. Thanks. It's been a pleasure as well. Look forward to continue to work together. Back to you, Ira. Thank you. And I'll add my thanks. Pablo, we really appreciate your time and your participation in this program. And Sean, again, thank you. A wonderful program. And I want to thank our audience too. And as I said at the beginning on July 10th at this day in time, again, we will have our fifth expert connect series and we will be looking at talent strategy. Again, thank you very much. Bye, everyone. Thanks.


Welcome to another episode of me complaining about technology that I don't like. In this episode, I have some computers here. You'll see that on the right, so okay, here's what I'm going to do this video on. This is my ThinkPad, my ThinkPad X220.  It's almost a meme, but in this video I'm going to explain why it's not just a meme. There are reasons to use one of these. Not just a ThinkPad, but specifically an older one, although the new ones are sort of okay. Here we have a better computer. If you look at the specs, this computer is better. This is an HP Probook 450G6. I don't know if anyone cares about any of those numbers, but that's what it is. I got this from work. This is my work-issued computer, and it is such an annoyance for many different reasons. I want to talk about some reasons why. Some of these are going to be specific to just Linux users, but let's start by flipping these things over. There's my name. First off, one thing I wanted to do is, I like using Linux, of course, and I usually like ... I don't want to ... There's probably some rule about me deleting the operating system in this machine, so I didn't do it, but I did want to open it up and replace the hard drive. Well, I think the main hard drive is actually on M-SATA, so I wanted to put one of my solid state drives in here, so I could run Linux on it and I could boot from that. You might think that that's a simple thing to do, but it isn't. It would be a simple thing to do on this ThinkPad. What I would do is, there's a little screw here.  You put the hard drive in, you replace whatever's in there before, and that's all you have to do. You now have a hard drive in this computer. In order to do it on this one, you've got to get this screw, this screw, this screw, this screw, that typical stuff. You've got to take the whole panel off, and then if you open this up, I'm not going to do it now because it's such a pain, but I'll describe how it is. There's a battery here. The hard drive is supposed to go here. In order to get the hard drive out, I think you have to actually remove the battery too, which is very delicate, of course. You've got to be careful with everything. Of course, the annoying thing ... One of the annoying things about this is ... Well, one of the good things about a ThinkPad, to take out a battery, you basically just unhook it here. I can't really do it with one hand because I'm holding the camera with the other, but you nearly can do it with one hand. The battery is right here, and there are a couple advantages to that. I want you to think about the advantages of having a battery. You can just pull off. It just has a couple of protective latches on it. Sometimes, every once in a while, something that happens is you have static problems. Your computer ... It has a static ... There's something electrical. A lot of times, this happens in the winter, and your computer will not boot or shut down properly. An easy way to fix that on a computer like this is you just pull out the battery. It's the same way in cell phones. It used to be you could easily take out a cell phone battery, but now basically to annoy you and to get you to have to fix things more often or go into the store to fix things, they make it more difficult to do that. The same things here are battery. This is supposed ... The rationalization for this is, oh, look how sleek this is. Look how nasty this is. Look at all these scary ports and stuff like that. But in reality, taking out the battery is a nice and simple thing here. It's a difficult thing here. In order to take ... Here's the catch 22 of a computer like this. In order to get to the battery, you have to open it up.  What happens if it is ... You get this case off and you're looking at the battery. You want to take it out. There's a winner and there's static all over the place. You go to reach to take it out and static goes between your hand and the motherboard. Well, game over, man. Here you never have this problem. Before you open up anything, you can easily take the battery off. There's no problem whatsoever. Anyway, so you have to do that. You have to be careful about static. You have to remove the battery. Then you can get to the hard drive. That's what I did. I put the hard drive in and it wasn't too difficult. It's in there now. It wasn't too difficult after I did all that other junk. Of course, the problems do not in there, obviously. One other thing. A couple of months ago, or I guess maybe a year or so ago, I did a video on installing Arch Linux. One thing I said in that video that caused some controversy is that I said that I'm very much against UEFI ... I'm not really against it. If I have the choice, I will not use UEFI. I will use traditional booting methods to boot into Linux. The reason ... A lot of people are like, oh, well, UEFI is the new thing. Why don't you just use that? Why do you want to be an old boomer and use the old way of booting? Because there are advantages to UEFI. The annoying thing about it is that with the rise of UEFI, you have this stuff like secure boot and all these other things that basically amount to making it difficult for you to boot into Linux. Again, the rationalization is, oh, we're just making it more secure for normies out there who might plug drives in their computer that can be booted from, and then you could exploit them in some way. First off, I don't think that ever really happened that often. It'd be hard to fool someone with a trick like that. Even if that's the case, secure boot, well, once I finally got, of course, my operating system in here, in order ... or my hard drive in here, in order to boot into the operating system was a huge pain. These new computers that have UEFI and might not even have traditional BIOS, they might make it really hard to get traditional BIOS. It basically ... You have to go through all these settings. Sometimes you cannot do it if your BIOS is locked. I almost expected this to be that way because this is issued by my employer.  But it can be done with UEFI, can't really be done with traditional BIOS. That's one of the reasons I really hate UEFI. Yes, there are advantages. Yes, people in the comments will tell me the advantages. I know them, but I will just say using Linux with UEFI is such a pain. UEFI is designed to be that way. That's the way I do not like ... That's the thing I do not like about it. Okay, so I had to deal with that, then I boot everything, and the Linux installation went very cleanly. Here it is, everything's installed. I have larbs running and stuff like that, but there's one thing that did not work. Now, as I was installing this, you'll see I have an ethernet cord and plugged up to my router. That's why I'm in this puny little room I have. This is actually where I keep my old kids' stuff. There's an old paper mache continent imaginary land I made when I was a kid. This is where I keep a bunch of old memorabilia, and I have my phone. Anyway, so I brought it in here to have it connected to the ethernet just to make it easier. But I realized that yet another thing about annoying modern computers is that a lot of Wi-Fi adapters are, of course, proprietary now. Now, in an old computer like this, no one had the funny idea. Basically, any old machine, you're going to get your Wi-Fi working, unless you're using one of those Linux distributions. I mean, all of them are going to work basically out of the box, unless it's one of those old Linux, or not old Linux distributions, but one of the ones that's all free software. That's the only thing you have to worry about, and if you're using a distribution like that, you already know how to deal with that. You know what you're getting into. In any other Linux install, you install it on this X220, or over here I have my X60, which is even earlier. You install Linux on this, everything is going to work out of the box. But now that we have all these proprietary, this proprietary firmware with Wi-Fi devices and stuff like that, getting the Wi-Fi to work on this, I still actually have not figured this out. Here's the annoyance. Now this isn't entirely, well, yes, it is entirely their problem, but I was trying to compile the, in the AUR, there's a package that's supposed to fix it and it's out of date, and so now I have to do this stuff manually. It's a big pain. But this is a pain that I should not have to be putting up with.  This also happens with people who use like NVIDIA drivers, okay? But the problem ultimately is not about Linux. It's about the fact that people nowadays, basically in order to lock people in, will write this proprietary firmware. NVIDIA has special relationships with Microsoft or something like that, and they will basically make it so it's impossible to, or at least very difficult for people to use this kind of stuff on Linux or something else. The thing about the Linux kernel, like in terms of one of the weirdest questions you get from like new users to Linux is they'll ask you like, how do you install drivers? Well, 99 times out of 100, on Linux there are no drivers, or well there are basically, but they're already in the Linux kernel. You don't have to worry, it's always gonna work, especially if you have a computer like this. But if you have one of the things that usually go wrong, NVIDIA drivers and Wi-Fi, but only on these modern computers. And when I say modern, I mean things that came out in the past couple of years. Now this computer here, this X220, this I wanna say came out in maybe 2012 or something like that, and computers of this period usually work pretty well. Again, this is before UEFI was super, I don't know if UEFI didn't exist or what, but it was before it was as prevalent as it is today. Nowadays, I feel like it's universal I think, I'm not actually exactly sure, because I so rarely have computers like this, I can't even tell you. But this is the kind of frustration about it.  So this is why people use ThinkPads in Linux. It's not actually because there's anything fantastic about ThinkPads and yes, there are things, people love the old keyboards, they are totally different, it's a pain to type on this garbage. I don't know why people have keyboards like that, but this is an aesthetic choice. Most people will prefer keyboards like this, they might look nastier.  If you have one of these and you're not using them, use it, it will literally change your life. I don't know how to, you will never use this thing. I actually have this thing unplugged, I never use it. So I only use the TrackPoint. But this is why people use ThinkPads. And this is why ThinkPads are not a meme. They are, I mean, just look at the thing, it's a box, it's ugly, okay?  And that's a good sign because this is not about looking beautiful, it's about functionality. Everything, again, the hard drive just one screw out, everything, once you open this stuff up, everything basically clicks out. And here you open it up, everything is right on top of everything. This thing has more room. It should be the thing that has more breathing room, but this is a much more, if you actually open it up, it's easier to use. All right, so this is why, this is the thing I'm complaining about in this video. So anyway, hopefully that made some things clear as why, again, I'm pretending this is an educational video.  This is why I don't use a computer that was made a couple of years ago. I think the sweet spot, again, is ThinkPad X220, that's a really common one.  I mean, it can do that as well. It'll just take a little more time. Now even, I will say, even computers like this, this is the X60. This can only take 32-bit operating systems. This is much slower, but if you're running Linux on it and you have a lightweight Linux distribution, this is fine for that as well. In fact, if you can actually feel the difference between this and that, like this thing is sturdy, like you could literally knock someone out by just plopping them on the head with this thing. This thing is a fantastic computer. It is not, but this is more the X60, these older ones, these are more meme computers, to be honest. I would not recommend this to a normal person. It's things like the X220, the X230, maybe even the X200, which is a little slower, but still good, not really that much slower than this. I would recommend these for normal people as well. They'll go on eBay for $150, maybe $200, sometimes less than 100. I think they used to be less than 100 and then I started meming them real hard and I feel like I actually increased the price. So get them now before they get more expensive. Anyway, that's it. I'm gonna figure out the wifi on this. By the way, if you know, again, this is a HP Probook 450G6. If you know how to get wifi working on Arch Linux, you go ahead and tell me, cause save me some work. Anyway, that's it. I'll see you guys next time.


an asian man was just attacked in new york city but won't press charges let's talk about what's going on because this is going viral yeah let's run the clip boom this took place on the bronze expressway i'ma pop up a map right here um people are saying that this i don't want to say he's italian but this buff shorter guy has done this before in jersey and actually knocked out a turkish woman a jobby woman who was recently here from turkey was picking up someone for uber at target and this car came up behind her and slammed on the horn because he didn't like that she was picking up her uber customer in front of target so he drove up to her window and started punching the glass of her window and she was terrified that he was going to break the glass as a man got out of his car and punched her in the face knocked her out in front of that target where she blacked out and woke up later with the police there however this man and i want to say he's korean i'm not sure he is just because he's like going into jersey that's what makes me think bergen county this older asian man Andrew is choosing not to press charges and it's got the internet just speculating about a lot of things yeah because definitely man if you saw the clip this is not just a regular like road wage rage thing like the dude stops his car he blocks his the van he goes in punches him takes his key the asian guy tries to jump into the back of the vehicle but then almost gets crushed and could it die well it looks like almost half of his body was about to get cut off right yeah man it looked really scary so um we don't know what's going on but there's a lot of speculation but of course david a lot of asians are talking about this because this falls in line with a lot of the wave of asian attacks or not reporting it or wanting to press charges or deal with the whole fiasco obviously that is the american legal system right exactly we made a video about this you can find it in the status report from taff where they talk about how a lot of asian americans don't feel safe but they don't want to report crimes anyways guys uh we're going to talk about it so please if this video is interesting to you hit that like button right now and check out other episodes of the hot pot boys all right so i saw this go viral a week ago but now it's going viral on a few more mainstream sites now that i guess the the law has sort of like run its course right so the law has contacted this older asian man who's 66 years old and he has decided to not press charges he said no charges but there's been other instagram pages that did investigation on this x5 they pulled the license plate and they said that this guy potentially was involved in another rogerage accident in clifton new jersey where he's from dude so this guy's just a wild dude so a lot of people are speculating is this guy a cop was he a former cop or does he have family that is high ranking in some sort of system potentially even mafia related system to protect him because how can he go around assaulting immigrants andrew and not be in jail right right right this seems crazy so uh i guess david we don't nobody knows the truth right now but everybody's just speculating someone sees an asian guy get attacked who's getting overpowered the video is clear as day right the asian guy almost dies so it falls in line of course we don't know how this started we don't know if they know each other actually if they had some type of dealings with each other um but what we do know is that this asian guy he doesn't want to press charges and but that also falls in line because a lot of asians don't right i saw a funny theory that saying uh that guy just like had a gambling debt and that was his bookie but obviously more realistically andrew i think that he there was some sort of like traffic dispute over like cars on the freeway that's what i mean it seems like what i think is most logical so you think it almost started on the road that's your suspicion you don't think that these people know each other no i mean but yeah it is interesting that the guy seemingly pulls a cop like maneuver or some sort of maneuver in terms of like cutting off the minivan and the guy looks like he like owns a business or maybe as a uber driver he looks like he knows what he's doing when he blocks the car yeah like do you think that's a regular behavior to just fight somebody on the freeway is that something a regular person just wants to do while traffic's going yeah the sky's either a gangster or he's a cop i mean he definitely feels confident in doing that but uh anyways let's get into the comment section and we'll do some takeaways at the end all right so of course everybody's going against this guy people are calling him names they're calling him this that there's a lot of speculation on who he is he does look like a mafia goon henchman to be honest just based off his all black shirt and stuff like that like not saying he is i'm just saying i would look um somebody said why was the asian man engaging he he should have kept his windows and his doors up because it's true that after he punches him initially andrew when he kind of comes back to yell at him the asian guy does kind of get him with the little thing but it kind of is good too because it kind of shows some fight and some feistiness in the old asian man yeah i think it's twofold like one i do like to see that the guy was the asian guy was able to fend him off with the long guard keeping his hands out and kind of like disrupting his punches right that's like a tactic but also why was he engaging you mean why did he have his window down he actually had a chance to drive away he almost drives away at first but then he stops and then the guy comes back and then they like scuffle some more but what if he had decay rage too so he was engaging right that's what i'm saying he's not just only thinking like fear fear fear he had the fight fight fight too yeah yeah both chemical surging in his body yeah you know i mean i'm glad he put up a fight but i also thought he could have maneuvered out a bit earlier here's up my thing too is like a lot of people don't understand the older guys from asia they're used to this thing but they're not used to how risky it could get in america with the guns and the knives and like do you know what i'm saying like they could be feisty dudes from back home in their homelands too yeah it's true that like you know if you grow up in this country and you know how often people have handguns there is a fear that you're like well i don't have a handgun so i'm gonna like i'm thinking of the worst case scenario this guy has a gun or a knife you're saying that's the thinking of somebody born and raised here possibly you know but then maybe if you don't think about it you're just like yo i just got to fight him regardless you know and so it's twofold you know yeah maybe not everybody has a gun or somebody's saying was how come he doesn't want to press charges and this is a common thing from the asian american community right because an asian american would but this guy could have spent like 40 50 years overseas he just doesn't want to deal with right for a number of reasons some people said maybe it's because he's illegal maybe it's because he just doesn't want to deal with it he has no faith in the law enforcement there's a fear of retaliation if you really think that guy is mafia you know what i mean like it's gonna be a whole fiasco it's gonna be crazy yeah yeah we don't know i mean we don't know the other this asian guys background and if he has something that he doesn't want the police to look into or he knows it's not worth the trouble or he knows that i don't know he did something to this guy to piss this guy off i'm not saying i'm just saying there must have been some type of interaction before this and i guess we don't know what it is right right right um somebody said that this guy clearly has an immense hatred toward immigrants because this same license plate was involved in the punching of a turkish woman in jersey right clearly this dude is a bad dude and he probably needs to get punished for it and uh i'm sure i hope that any asians working in the legal field the political field are escalating this incident right now through the proper channels just to see what's going on guys you know like we said we can't be fully assumptive of what happened but just escalate it if you have the uh pathways to do so right um somebody was just saying man this guy clearly has gotten away with it before because who would be so brazen in 2024 enter there's phones capturing everything this guy's acting like it's the old days when nobody could record anything right right yeah no for sure um of course a lot of people are saying that a lot of immigrants there's a mistrust of public infrastructure such as cops sheriffs and firefighters and then somebody else said but even the firefighters you don't trust the firefighters i'll tell you this i trust the firefighters i trust the firefighters more i trust the firefighters because they're not law enforcement they're literally supposed to be the first on the scene like yes there was that movie copland talking about like you know the blue shield and like there's things i don't know i just do it there's always going to be a variance i would never paint all cops as good and all cops as bad but for the most part when i call the police when i have needed them they came but yes there's some cops that are better than others for sure it's a variance i remember one time andrew um our mom you know how to got attacked when we were growing up and they sent the asian cop you know what i mean like send sent the japanese american cop the fifth generation guy um this guy said this is enter the common spiral section of course goes everywhere somebody said i hate to say it a lot of asians look as white look at whites as gods they are just going to let them get away with anything i don't think there's a reason why he's letting them get away with it yeah i don't think i think there's a lot of reasons we don't know i mean like i said like i remember somebody at our church got punched in the face in the parking lot during christmas at south center mall and they didn't report it yeah that's true i do asians under report crimes against them they're scared of the system they're scared to pick up the phone they're scared to report it they don't trust the system they don't know the system they don't know if they should report it they almost don't know if it's reportable they're like is this a crime is that a crime did something just bad happen to me do i have to talk to like three different police officers now and they very much have this almost like it's hard to explain but like this guest in a foreign land mentality you know how if you are a and maybe you even view yourself internalize your identity as an uninvited guest you know like an uninvited guest might might get slapped around a little bit and they're like okay okay i'm like yeah like here well you know you know i'm in their land and you know i don't want to cause trouble and i don't want to take a resources and i just don't want to go through this i don't want to trouble my life either yeah i have just uh this goal i need to achieve yeah i know i mean maybe even if you're not undocumented there still is that fear in the back of the mind that you're going to get like deported or that they're going to come down extra hard on you or something for no reason you know uh ultimately end up with your takeaways for me i'm glad that the older man fought back but i did also see at the end it almost went downside too it's such a man it's such a gray area because you know how a lot of people they want to see asians fight back right but the truth is there is risks involved with fighting back and especially how you fight back right and then of course enter those people in the comment section oh man in texas that's why i got the right to carry and all this stuff and i'm just like man i don't know this what if everybody just shooting each other too i don't know why can't we just be more civil to each other yeah i don't know man i would just say you know everybody makes their own decisions about their own safety and how much they want to evade situations um i think the asian guy probably could have exited the situation a little earlier but i'm not saying he's wrong for trying to stay back and fight right stand up for but again he almost got himself killed like to be honest that was crazy also you could say that that guy almost killed yeah that guy almost killed him but i'm saying that guy would have definitely been charged for something at least involuntary manslaughter some i don't know anyways but uh you guys uh you know videos like this always are triggering to some level even though we don't really know the backstory but regardless uh there's an asian person getting attacked and we're just kind of sick of it so i guess uh let us know in the comments down below how you guys feel about it and uh maybe we'll leave some links to other like resources to like some of our friends instagram pages who are doing like legal stuff for asians um but yeah check them out hey guys let us know if you guys have any additional info you know we just know what we know until next time we the hop hop boys we out peace


Hello, beautiful souls! Welcome back to Art of Awakening. This is Ona and in this video we're going to be exploring the energies of the March 2022 equinox in a multitude of ways. I've been receiving massive downloads around it and so I'll be sharing with you a piece of artwork that explains these energies, some Akashic downloads, numerology, oracle reading, and also some spirit animals that have come forward to support these energies and hang on to the end because I'll be pulling an angel card as well. So that's a lot of stuff to cover. This may be a long one, so settle in, grab yourself a drink, maybe some popcorn, and let's get started. So let's start with some art. This is a painting that I did a couple weeks ago and without thinking about what it would be about, I just tuned in and as I was painting I realized, oh yeah, this is the energies of the equinox. It's because I live in the northern hemisphere of just all this life force coming up, right, the sun being prevalent, and a lot of this kundalini kind of energy, right, with these plant forms. But when the title came in for me, that's when it really struck me that, well, this is something really powerful and that's when I started feeling like this is going to be a very, very powerful equinox. And actually, I have been feeling the energy around this equinox for months and months. So the title that came in that it wants to be called is the Eden Impulse. Okay, so every spring equinox you're going to have this kind of burgeoning energy, this life force coming up out of the ground and really starting to manifest. But when we start talking about Eden, that takes it to another level. So I'm looking at this equinox and we're going to look into the numerology to see how powerful this is. But the planetary, the Gaia consciousness is really rising right now and really ready to seriously take roots, which is already happening. But I'm feeling like this equinox portal is really going to shift that into high gear. And this is so super important to recognize at this time, because you've I'm sure heard me if you've been following me talk about the bifurcation, you may have heard others talking about it. But we've got this dual energy happening on the planet right now with the old matrix crumbling and going down and the new earth energies coming up. Okay, so this is really speaking to us of those new earth energies that we're a part of as star seeds as light workers, right? And what is telling me is that this is alive and well and ready to really spring into life. This is the energy of the ascended earth, right? Just this incredible, vibrant, healthy life just exuberantly springing forth out of the darkness towards the light. It's just incredible energy. And I'm feeling that a lot. I hope that you are too, because this is what we're here for, right? Is we are here actually planting the seeds for this, visualizing it and creating it. So that's the art portion of this transmission. It was the first thing to come through and it came through very powerfully. I will be making that painting available for sale on my website as the original and the print. I'm feeling there may be one person who's really meant to have that original painting, but it will be available as a print as well. And I'll leave the link in the description below. Next, I want to share an Akashic download and this will be the first of a couple that I'll be sharing here in this video. I asked my Akashic guys to explain the energies of the March 22, 22 equinox and they said, these are energies of strength and power. The sun moves into Aries ruled by Mars. This equinox is a portal through which those who are ready to step into their power and who choose to do so will be greatly assisted. So we know this is a powerful portal and I think it's interesting to talk about, they're just talking about power. They're not talking about the polarity of the power. So just walking into this portal with awareness that this is like a step up transformer for power and it can go either way, right? Wherever that power is aligned, it can be amplified if it's used with intention. So I'm feeling like it's super important for those aligned with light at this time to really, really open oneself to defined guidance at this time and we'll talk a little bit more when we get to the reading portion about that. Okay, so this is an extremely powerful portal but let's look at the numerology of it because this will explain just how amazingly powerful this portal is. The 2022 March equinox takes place at 333 UTC on 320 2022. Okay, so UTC or coordinated universal time according to Wikipedia is the primary time standard by which the world regulates clocks and time. So right away this is really telling us that this is a very important collective juncture in time, a collective potential for a collective timeline shift. So we have 333, 320, 2022. This is double 33, right? We have four threes and four twos, double 33 and double 22. These are master numbers and taking place at this auspicious time of the equinox, it's an extraordinarily powerful combination of number codes. What does this mean to have a double 33 and a double 22? Well, I'm not an advanced numerologist but I can give you the basics and if any of you have insights to share above and beyond what I'm sharing here, please do share these in the comments in the video below. So 33 and 22 are both master numbers. These are the powers of three and two respectively doubled and here we've got two pairs of master numbers. So the master numbers themselves are doubled, right? This is two times two, so there's a lot of power of four here as well. We've got the master number four kind of here in the background. So let's look at these master numbers. The master number 22, if you'll recall from my 222 video, 22 is known as the master builder number. So basically it's the energy of 11 of spiritual awareness which is in itself a master number combined with the compounded energy of two which is partnership and balance and finally the energy of four works in there too. So practical, hard-working, responsible, all this combines for incredible manifestation power. That's why they call it the master builder. It's actual physical infrastructure. It's talking about manifesting things on the earth. So we're talking new earth infrastructure really coming into play here. So 33 is also a powerful master number. It's the number three doubled and what does three mean? It's the number of the divine child. It's joy, it's magic, it's life force energy and especially love, okay? So this painting here, this Eden impulse, right? It's got that rising kind of childlike new life energy and the sun, the solar energy, the love heart force, right? This is heart chakra, big, big, big heart chakra stuff, okay? 33 combines these qualities of three with the spiritual awareness of 11 and it also resonates with the number six standing for family and harmony. 33 is known as the master teacher number and supports any activity that guides others towards healing and enlightenment, including channeling and maybe that's why 33 is considered the number of Christ consciousness, okay? But here we have the power of these two super potent master numbers not only doubled but combined, right? 22 the master builder, 33 the master teacher and as I said, there's also this number 44, master number 44 that's floating around the background. I'll get, I have a huge download around that but I'll share it in just a sec. So right now of course is the time of reckoning in a way it's end times because of these old order coming down. The old matrix crumbling, we can see that happen. All you have to do is to tune into the news but what the mainstream news is largely not showing us is that while the stuff is coming down there are thousands of star seeds out there who are busily getting a head start on their reconstruction, okay? That's this master builder energy. It's also the master teacher energy, okay? We're laying the foundation for the new earth, building the infrastructure, planting the seeds both in terms of physical, actually sometimes literal planting seeds. You might know that I'm really starting to get into food for us and but also the seeds of the mind, right? Planting the seeds for what the future of humanity is going to look like and here we have the super manifesting energy of 22 amplified and combined with the super powerful spiritual evolution energy of 33 and it's a supportant combination to support this process of renewal as we move deeper into this time of transition. So let's go into this energy of 44, okay? Because we're looking at 22 and 22 and 33 and 33, okay? So that's one, two, three, four. Four sets of master numbers. Up until now there's only been like the meaning known of the first three master numbers, the first one 11, the number of spiritual awakening, the second one 22, the master builder, the third one, 33, the master teacher and as I was meditating on this during around the other day, what came to me like a lightning bolt was 44 is the meaning of this is going to be coming into play now because we're moving into a new age and it's the age of the heart, the expansion of the heart. We're opening up a new chakra in the consciousness of Gaia moving into the heart space and four is this number of grounding of foundations, right? And the the intuition, the message that came through loud and clear was this is the number of order and it's the number of natural law. So we're coming into the time of natural law. This is what humanity is working on at the time is this mastery of natural law and when a critical mass of humanity begins to understand and align with natural law that's when we're going to have this actual heaven on earth, right? So the work of this coming age has all wrapped up in natural law and aligning with an understanding of natural law. So 44 what I'm feeling is 44 is the master order number or the master law number, right? So just kind of keep that in mind and I will be sharing a lot about natural law. I've already started a playlist on natural law which you can check out here and stay tuned if you haven't subscribed yet. Subscribe now because I will be sharing more videos on natural law in the coming months. Let's take a look at what we can do personally, how we can navigate these energies to make the most of them to really align with these energies in a positive way. The first thing I want to share with you is a reading that I did a couple nights ago. This is just a collective reading for this March 20th, 2022 Equinox and I'm using the Wisdom of the Hidden Realms deck from Colette Barron Reed. This is a three-card reading. So looking first at the energies that we're in now, the energies of the past that have brought us here. The card that came up was the Sun Dancers in reverse. Okay, I'm going to show you this card. I'm going to show it to you right side up, but remember it came up in reverse. So there's this almost kind of dragonfly-looking angel here and like a lot of solar energy, but remember it's coming up in reverse. This is energy that I feel like we're ready to break through from. This is the collective energy of worries. We've got the media narrative that is really pushing the fear agenda and so there's a lot of this kind of fear, worry energy in the earth. When cards come up in reverse in a negative way, often I will turn them right side up. Remember the law of polarity that with any energy there's an opposite energy happening. So we can recognize that the, any whatever dark or worry energy in there, it's got its companion energy, its opposite polarity that's at work present as well. Okay, all we have to do is turn our mind to that in order to activate the positive part of this. Okay, so Sun Dancers, joyful activity, celebration of life, abundance. Okay, this is solar energy we're talking about and wherever solar energy has been perverted or inverted, this is ready now to be brought to light, right? Okay, the second one, second card is the card for the present, right? And this is looking at this equinox. So this is the card pretty much for this equinox time and offers clues as to how we can really make the most of this.  It's a little dragonfly right there and another one right there. Dragonfly, I'll talk about in a bit, is a really powerful spiritual spirit animal that's been coming forward for this whole juncture. So there's this beautiful woman and she's looking straight at you, right? The eyes of beauty and I see the number four in her, right? Look at the right angle of her arms and she's very strong, that she has confidence and she's got her eyes wide open. Okay, so what this is telling me is that this is going to be an amazing time for really visualizing, okay? First of all, opening their awareness and just being completely open and accepting of what's happening right now. Compassion is huge right now, right? Knowing that we're in the process of a breakdown and a reconstruction, just bearing witness to everything that's there, recognizing that it's all here, everything that's happening right now is contributing to this process and just being aware of all that's going on around you, okay? Not being afraid to look into the shadows, right? She's in the dark, right? But she's fearlessly looking forward, so courage and fearlessness, big one. And interesting that she's got a veil on her face, right? So she's not speaking out, she's actually just observing. So I'm looking at this time as being a beautiful time to be in observer mode and also to, you know, what she says in the guidebook is really perceive the beauty of everything that's happening, right? Take a really big step back. Big picture time and big picture means not only, you know, awareness of what's happening but also awareness that we are creator beings and we can use our vision, right? The eyes represent also the third eye and our capacity to visualize that is the first step in creation.  What's your vision for yourself, for your highest potential? Really bring that into very clear picture for yourself. Write it down, write down what you're here for and let your soul speak through. Also visualize, what are we building? Think about your promise for the earth. What is your promise? What does the earth look like in 500 years, in 5000 years, okay? I have a picture of a just earth exploding with flowers and happiness and vegetation and joy and just this heart-wide open planet of Gaia in her full strength and health and vitality and all the people and animals, all the beings on her just rimming with life. That's my vision for humanity and for the planet and I'm thinking forward 500, 5000 years from now, okay? So this is a beautiful time, whatever your vision is, whatever it is for you, visualize that now. It's super powerful at this time and that last card to come up and it's number 16 and I think these numbers are also very important. The first one that came up, the sun dancers, is number 32. Remember, we're working with the energies of 33 and 22 so that number is really significant. The eyes of beauty, the number here is 25. That is five squared, right? That is, it has some 55 energy to it. Okay, so this is five being the energy of transformation, okay? And then the shadow queen coming up in reverse as this is the energy that we're moving into now, okay? The number is 16 and that is four squared so there again is that 44 energy and this, it's coming up as reverse. Now the shadow queen is a very, very interesting card to come up, okay? And what this is telling me in reverse is that we are moving into a collective descent and I think this is pretty obvious by now. You know, I think a lot of us have sensed this coming but this card is really bringing this to the forefront and don't be afraid of this, okay? Look how strong she is in looking at the future, right? And this number four that she is holding in her body, number of stability, right? This is the underlying order that she's showing us that is here, that is all the stuff, everything that's coming crashing down, that's all made of illusion, okay? So it's the underlying order that's able to come forward but in order to get there, in order to really bring that into manifestation, we may have to go into this descent process and this is part of the solar journey, it's part of the soul journey as the descent into the underworld, right? We see that in the way the sun moves every day and goes down and comes back up with a resurrection. We see it in the way the sun moves in the year going down and back up into a resurrection in the spring and this is the soul journey as well, so many of the hero stories, whether it be Isis and Osiris and Horus or Jesus Christ or Persephone, so many of these hero stories involve the descent going into the underworld, right? And then facing the shadow, overcoming the shadow and rising back up, okay? We cannot come into this spring time, right? Without having been first gone down into the depths, gone down into the darkness, then we spring back up, so don't be afraid of this, whatever we're seeing in the news, whatever it is, we'll come through it stronger and bringing light forward, okay? So let's look at this shadow queen energy, right?  The shadow queen gently asks you to address your inner most character flaws with compassion. For now it's time to bring your wounded self and hidden agendas into the light. You are seeing the tangible results of those aspects of your nature that have evolved in response to the difficulties in your life. They've been a means to help you survive. Super important and I think this is really talking to the collective right now, but it's also talking to each and every one of us and many of us have done a lot of shadow work. There will likely be more at this juncture, okay? So she's just like, don't be afraid of this, lean into it, okay? Address your inner most character flaws with compassion.  So acknowledging it, thinking it, and really seeing it for what it is, okay? She says, perhaps you're falling prey to insecurity marked as elitism and arrogance, believing that you know best. Perhaps you're falling prey to comparing yourself with others or to being fearful and self-sabotaging. You may have been taught that manipulating others rather than being direct is the way to get your needs mapped. The Shadow Queen reminds you that manipulation in any form isn't the best method of getting what you want. Another meaning can also, that can also apply as a possibility that you're being affected by someone else's wounded self. Perhaps you are the one being manipulated. Whatever the case, it's time to take a fearless personal inventory and observe what part you play in the dramas and potential disasters in your life. When you come to the place of humility, forgiveness and grace, then you may proceed again and walk into the light. There is great value and strength in facing your own shadow in the realm of the Shadow Queen, all right? And we can so see this playing out in the collective right now. But let's take a look at the Shadow Queen figure because she is a light worker. Look, she's descending into the darkness. She's holding this light. And I feel like it's super interesting just to look at these two images compared to each other because they are, in some ways, they've got these polar opposite feelings to them, right? Which means that using the both of them is using both polarities, right? It's working in oneness and wholeness, okay? She's like observing. She's got the veil over her face. She's not expressing, right? Here, the Shadow Queen, the veil has come over her eyes, right? Here, she's looking very clear at her clear vision. She's really got a vision.  What this is telling me is like, if we spend the time and take the time to really look with honesty at ourselves, look at the shadow in the face, and to develop our powerful vision of what we're creating, then as we start to descend into the underworld, descend into the darkness at this time, we are going to have that vision right there in front of us no matter what is pulled over our eyes, whether it's the media trying to distract us, whether it may be internet blackouts or whatever comes our way, we'll have that vision of light that's already imprinted in us so we can navigate in the dark. We are lightworkers. See how she's bringing this lantern into the darkness and she has her own internal GPS. She's got her own internal light that's lighting the way and she is leading the way through the darkness, right? She's the one that is really this powerful figure, the shadow queen. And remember she's got that energy of the four, 16, the four doubled, the 44. Okay, so what this is just really bringing forward here right now, if you haven't yet faced your shadow and there's a part of every one of our shadows, no matter how much your shadow work you've done that you haven't faced yet, now is the time to really fearlessly look at the shadow side, because that's how we connect with our deepest light that cannot be snuffed out by any darkness. That's what we're bringing through here. Okay, a couple more pieces of Akashic Awareness here, Akashic Guidance for navigating this portal. One is devotion. This is something that's really coming forward for me very, very strongly, the concept of devotion. And this is so critical to facing the shadow and navigating the darkness, okay? The devotion, what are you devoted to and the willingness to devote oneself fully and completely to the light, to the inner self, to whatever we want to devote ourselves to, the planet, the Gaia consciousness, right? For you it may be devotion to family, it may be devotion to maybe a particular deity that you're working with, right? Whatever it is, find your devotion because with devotion comes courage. When we're fully and completely devoted to something, right? We have the courage to move through anything, right? So me personally, I'm so fully devoted to serving Mother Earth and that's what's pulling me through right now. The second one is awareness and I want to share with you a download from my guides. And this is one that King Fugius recently. Do not be distracted by dark agendas. You are aware of the powers of anti-life active in this world. They are what they are. To focus too hard on them gives them power. Know the law of vibration and hone your awareness of vibration. Recognize lower vibrational energies even when they wear sheep's clothing. Call them out, see them for what they are, and ask for guidance from your lion self. Stay focused on what you are here to do. Okay, and that leads us to a couple of spirit animals that are really supporting the human collective at this time. One is lion and when I asked my Akasha guides about supporting energies for March 2022, the first thing they said was lion spirit animal. They said march comes in like a lion but need not go out like a lamb. Rather combine the lamb and the lion energies, fierceness and innocence, gentleness and strength, trust and focus. This is the time foretold when the lion lies down with the lamb. You are sowing the seeds for this. It happens first within your own hearts. The sheep is generous, giving a cornucopia of love and benevolence. The part of you that gives and loves unconditionally. The lion within you must learn to be a divine protector of the flock rather than feeding off of it. The lion now comes into his true birth right as a solar being knowing that for him all nourishment, all strength, all power comes through the central sun. Okay, that's the devotion to that. This is about a divinely ordained leadership, harnessing the strength, power, courage and solar consciousness of the lion for the benefit of all humanity. And we're going to start seeing lion souls coming forward here on this planet. We're already starting to see them come forward. It's going to accelerate. Maybe you are one. The other creature that's been coming forward strongly to support us through this time is Dragonfly. This is the energy of transformation, of maturity, of joy, of mastery and of magic. And you can call on either one of these animals at this time to assist you. They will vibrate into your field when you call on them and help you to maintain a high vibration of the qualities that they possess. So even just thinking of these animals will help this to happen and will help to support your vibration through these times. I'm going to pull an angel card just to close this video and to call on the angelic realm for support as we move into this incredibly powerful portal for the rising of the consciousness of humanity and just asking that all of us be supported fully and held in the light as we move into here. So helping us to remember who we are as children of the sun as beings of light and to remember and be guided on our soul mission, bringing light, guiding lights through the darkness. Right? Here's the card that wants to come forward. Beautiful. It is crystal clear intention. I love this. Never forget why we're here, what we're building, hold that in your mind, target that and really, really, really focus on that. All else will just, you know, once we have that really focus in our minds and trust that we're supported and guided, everything is going to fall into place in perfect divine order. Enjoy this March 2022 equinox and remember you were born to be free.