THE SUMMURAI JOURNEY: CAPTAIN'S LOG

Hello everyone, I'm thrilled to share my thoughts with you today. If you've ever found yourself navigating the complex world of data visualization, you know how crucial it is to choose the right tool. Today, I want to take you on a journey through my recent experience transitioning from Tableau to Power BI. This isn't just about my personal frustrations; it's about understanding the nuances of these powerful platforms and what they mean for you and your business. Now, let's dive into the heart of the matter. After nearly ten years of working with Tableau attending conferences, speaking at events, and even creating training programs I recently took the plunge into Power BI. It's a significant shift, and while Power BI has earned its place at the top of Gartner's BI tools Magic Quadrant, I found myself grappling with a few challenges that any seasoned Tableau user might relate to. First off, let's talk about version control or rather, the lack thereof. In Power BI, there's no built in version history. If you forget to save your work manually, you could lose everything with a single accidental overwrite. Coming from Tableau, where reverting to previous versions is a breeze, this feels like a painful oversight. Then there's the issue of Mac support. It's two thousand twenty five, and Power BI still doesn't natively support Mac. If you're a Mac user, you'll need to rely on workarounds like Parallels, which can be costly and resource intensive. Alternatively, you might have to convince your team to switch to Windows laptops, which isn't always feasible. Next, let's discuss chart functionality. Power BI lacks native support for dual axis charts, which can be a significant limitation. While there are marketplace visuals that can mimic this functionality, they come with additional costs and potential data privacy concerns, making them less viable for enterprise environments. Now, let's touch on DAX. While it's a powerful tool, if you're accustomed to Tableau's intuitive drag and drop interface, DAX can feel cumbersome and slow. It's not exactly what you'd call user friendly for business users looking for self service options. Lastly, data blending in Power BI is a project rather than a simple click. Unlike Tableau, which allows for seamless data blending, Power BI requires you to build a full data model and define relationships, which can be a daunting task. As a bonus thought, while Tableau's pricing can be astronomical potentially costing a company with one thousand employees upwards of three hundred thousand dollars a year perhaps I can overlook some of Power BI's shortcomings if it means saving significant amounts of money. Both tools have their strengths, but the landscape is changing rapidly. AI driven solutions are emerging, and it will be fascinating to see which platform adapts fastest. I'd love to hear from you are you also navigating the transition between Power BI and Tableau? How do you feel about these challenges? Let's connect and share our experiences!

Hello everyone! Today, I want to share some insights that could reshape how we think about the future of artificial intelligence. As we dive into this topic, I invite you to consider what this means for you and your business. The landscape of AI is evolving rapidly, and understanding these changes can empower you to harness the full potential of technology in your storytelling and user engagement strategies. Now, let's explore a recent analysis from Epoch AI, a nonprofit research institute focused on artificial intelligence. Their findings suggest that the AI industry might soon face a plateau in the performance gains from reasoning models. This could happen within just a year. Reasoning models, like OpenAI's o3, have shown impressive advancements in AI benchmarks, particularly in areas like math and programming skills. However, while these models can tackle complex problems with greater computational power, they also require more time to complete tasks compared to traditional models. The development of reasoning models involves a two step process. Initially, a conventional model is trained on vast amounts of data. Then, a technique known as reinforcement learning is applied, which provides the model with feedback on its problem solving approaches. Interestingly, Epoch notes that leading AI labs, including OpenAI, have not yet fully leveraged the potential of computing power during this reinforcement learning phase. But that's changing. OpenAI has reportedly utilized around ten times more computing power to train o3 compared to its predecessor, o1, with much of that power focused on reinforcement learning. OpenAI's researcher Dan Roberts has also hinted at future plans that prioritize reinforcement learning, aiming to allocate even more computing resources than what was used for initial model training. However, there are limits to how much computing can be applied to this phase, as highlighted by Epoch. Analyst Josh You points out that while performance gains from standard AI training are currently quadrupling annually, gains from reinforcement learning are increasing tenfold every three to five months. He predicts that the progress in reasoning training may align with the overall advancements in AI by the year twenty twenty six. Epoch's analysis does make several assumptions and draws on public comments from AI executives. It also raises concerns about the scalability of reasoning models, citing high research overhead costs as a potential barrier. You notes that if these costs persist, the growth of reasoning models might not meet expectations. He emphasizes the importance of monitoring rapid compute scaling, as it could be a crucial factor in the progress of reasoning models. As we consider these developments, it's essential to recognize that any signs of limitations in reasoning models could raise concerns within the AI community, which has invested heavily in their development. We've already seen that reasoning models, while powerful, can be costly to operate and may exhibit flaws, such as a tendency to generate inaccuracies more frequently than traditional models. So, as we navigate this complex landscape, let's remain curious and engaged. The future of AI is not just about technology; it's about how we can weave these advancements into our narratives and connect more deeply with our audiences. Thank you for joining me on this journey!

Hello, everyone! I'm thrilled to share some insights that could reshape your understanding of health and longevity. Today, we're diving into a conversation that blends cutting edge science with the art of storytelling. Imagine a future where our lives are not only extended but enriched, where technology and human experience converge to create a truly abundant existence. This isn't just a dream; it's a vision that many, including the renowned futurist Peter Diamandis, are passionately advocating for. Now, let's explore what this means for you. What if I told you that the choices you make today could significantly impact your lifespan and quality of life? This is not just about living longer; it's about living better. So, stick with me as we unravel the fascinating world of longevity and the groundbreaking ideas that could empower you to take charge of your health. Peter Diamandis, a visionary with degrees from both MIT and Harvard, has dedicated the last two decades to promoting a concept he calls an "abundant future." He's the founder of influential organizations like the XPRIZE Foundation and Singularity University, and he's collaborated with some of the brightest minds in business, including Elon Musk. His followers are captivated by his optimistic outlook and data driven insights, which suggest that technology has already lifted billions out of poverty and improved living standards worldwide. However, not everyone shares his enthusiasm. Critics argue that his techno utopian perspective neglects the growing inequality and systemic issues we face, especially in the United States, where the wealth gap continues to widen. Recently, I had the opportunity to engage with Diamandis about his thoughts on abundance and longevity. He made a striking statement on social media, urging us to remember that our primary responsibility is to avoid dying from something foolish. This bold assertion stems from what he describes as a healthspan revolution, fueled by advancements in artificial intelligence, computation, sensors, and cellular medicine. These technologies are converging to help us understand the aging process and how we might slow it down, stop it, or even reverse it. Diamandis introduced the concept of longevity escape velocity, which suggests that for every year you live, science is extending your lifespan by a certain amount potentially more than a year in the near future. He believes that if you're in good health and have reasonable means, we could reach this pivotal point within the next decade. It's an exciting prospect, but it raises an important question: What does "reasonable means" really mean in a world where access to healthcare is a growing concern? Diamandis emphasizes that many foundational steps toward longevity are free. Your diet plays a crucial role; he points out that our bodies were never designed to handle the excessive sugar we consume today. He advocates for a balanced diet, quality sleep, and regular exercise as essential components of a longevity focused lifestyle. Interestingly, he notes that an optimistic mindset can add years to your life optimists tend to live about fifteen percent longer than their pessimistic counterparts. While these foundational practices don't require financial investment, there are additional layers that do involve costs, such as medications, supplements, and advanced testing. Diamandis himself takes a variety of supplements daily and has invested in companies exploring cutting edge longevity research, including epigenetic reprogramming. This area of study focuses on how we can manipulate our genes to promote a more youthful state, a concept that could soon become accessible to a broader audience. As the founder of the XPRIZE Foundation, Diamandis has launched numerous initiatives aimed at driving research and development in health and longevity. One of his latest projects is the Healthspan XPRIZE, which offers significant prize money to teams that can demonstrate the ability to reverse functional aging in various aspects of health. With over six hundred teams participating, the competition is set to yield groundbreaking results by the year two thousand thirty. When discussing his approach to longevity, Diamandis contrasts it with that of Bryan Johnson, a former acquaintance who is conducting personal experiments in the field. While Johnson's methods are more individualized, Diamandis is focused on large scale, scientifically validated approaches that can benefit the wider population. So, as we reflect on these insights, consider how you can integrate these principles into your own life. The future of longevity is not just in the hands of the wealthy; it's about making informed choices and embracing the tools available to us. Together, let's embark on this journey toward a healthier, longer, and more fulfilling life. Thank you for joining me today!

Hello everyone! Today, I want to talk about something that affects all of us in this digital age our online security. As the founder of Summurai, I've dedicated my career to enhancing user experiences through intelligent design and compelling narratives. And today, I'm here to empower you with the knowledge you need to protect yourself in an increasingly connected world. You might have heard stories about hackers targeting everyday people, aiming to break into bank accounts, steal cryptocurrency, or even stalk individuals. While these incidents are still relatively rare, it's crucial to understand how to safeguard yourself if you suspect that someone has accessed your email, social media, or any other major online service. A few years back, I created a guide to help people navigate these challenges. I want you to know that most companies you interact with offer tools to help you take control of your account security, even before you reach out for assistance. Today, we'll explore what you can do across various platforms, including Gmail, Facebook, Apple ID, and more. And remember, this is a living resource one that I'll keep updating to ensure you have the latest information at your fingertips. Now, let's dive in. First, if you suspect someone has accessed your Gmail account, scroll down to the bottom right corner of your inbox. You'll see "Last account activity." Click on "Details," and a pop up will show you all the locations where your Google account is active. If you spot something unfamiliar, perhaps from a country you haven't visited, click on "Security Checkup." This will reveal the devices currently logged into your account. If you see anything suspicious, change your password immediately. Google will sign you out of all devices except those you use to verify your identity. For those of you using Microsoft Outlook, you can check your sign in activity by navigating to your Microsoft Account. Click on Security, then "View my activity." This will show you recent logins, including the platform, device, and IP address used. If anything looks off, take action by changing your password and reviewing how to recover a compromised account. Let's not forget about LinkedIn. It's essential to keep your professional network secure. You can check where you're logged in by going to the LinkedIn website and accessing the "Where you're signed in" section. If you see any sessions you don't recognize, simply click "End" to log out of that session. Yahoo also provides tools to help you monitor your account. By visiting your Yahoo My Account Overview, you can review recent activity, including password changes and connected devices. Given how often we link our email to sensitive accounts, securing it should be a top priority. If you're an Apple user, checking your Apple Account is straightforward. On your iPhone or iPad, go to Settings, tap your name, and scroll down to see all devices signed in. On a Mac, click the Apple logo, then "System Settings," and you'll find the same information. Now, let's talk about social media. Facebook and Instagram allow you to see where you're logged in. Head to Facebook's "Password and Security" settings and click on "Where you're logged in." If you notice anything unusual, you can log out from specific devices. WhatsApp has also made it easier to check your account security. Open the app, go to Settings, and tap on "Linked devices." You'll see a list of devices currently connected to your account, and you can log out of any that look suspicious. For those using Discord, click on the gear icon next to your username to access User Settings. Under Devices, you can see where your account is logged in. If you spot anything unfamiliar, log out of those devices. Lastly, let's not overlook Telegram. Click on Settings, then Active Sessions. If you see any sessions you don't recognize, you can terminate them with just a click. As we wrap up, I want to emphasize the importance of enabling multi factor authentication on all your accounts. This extra layer of security can significantly reduce the risk of unauthorized access. Remember, your online security is paramount. By taking these proactive steps, you can protect yourself and your digital presence. Stay vigilant, stay informed, and let's continue to foster deeper connections through safe and secure digital experiences. Thank you for joining me today!

Hello everyone, and thank you for joining me today. I'm excited to share some insights that could transform the way you think about generative artificial intelligence and its role in your organization. If you've ever felt overwhelmed by the rapid pace of technology, or if you're grappling with how to integrate AI into your business strategy, you're not alone. Today, we're going to explore the risks and opportunities that come with generative AI, particularly in the realm of content. By the end of this discussion, you'll have a clearer understanding of how to navigate these challenges and leverage AI to enhance your storytelling and user experiences. Let's dive in. Recently, during a State of Content webinar, I noticed a striking contrast. While individual adoption of generative AI tools like ChatGPT and Claude has surged, enterprises are still hesitant to fully embrace these technologies. A survey from CIO magazine highlighted that in the manufacturing sector alone, concerns about security have tripled, accuracy worries have grown fivefold, and transparency issues have quadrupled. Meanwhile, Salesforce found that forty one percent of chief marketing officers cite data exposure as a top concern when it comes to AI. This paints a clear picture: as organizations recognize the risks, they're also beginning to understand just how integral content is to their operations and the potential consequences of applying generative AI to that content. As Susanna Guzman, a seasoned content leader, pointed out in a recent conversation for my latest edition of The Content Advantage, one of the greatest opportunities with generative AI lies in how it compels business leaders to think critically about the tool's risks and rewards. This reflection leads to a deeper understanding of content's pervasive role within a business and its impact on both employee and customer experiences. In fact, eighty percent of companies now see themselves as competing on customer experience, which raises the stakes for applying generative AI to content in that space. So, what are the specific risks we need to consider? While these risks can vary from one enterprise to another, my team and I have identified six key areas of generative AI risk that every leader should be aware of. Understanding these risks can empower you to make informed decisions about your approach. First, let's talk about transparency. Your organization's strategy for generative AI must include two critical aspects: transparency and documentation. With regulations surrounding AI proliferating globally, including the European Union's AI Act and emerging legislation in the United States, it's essential to be transparent about when and how you're using AI. This means demonstrating that AI isn't replacing human judgment in high stakes decisions and ensuring that your use of AI doesn't introduce bias. Moreover, both employees and customers want clarity about when they're interacting with AI. For example, if your organization uses AI to assist in candidate interviews, it's vital to explain the purpose and benefits to both candidates and interviewers. Transparency extends to how you communicate your AI applications in your terms of use or policies, just as Medium does effectively. Next, we must address accuracy. The adage "garbage in, garbage out" holds true for generative AI, but what's new is how that garbage can enter the system. The consequences of accuracy issues can range from eroding customer trust to potential legal troubles. Generative AI excels in language but struggles with math. If your enterprise plans to use AI for tasks involving numbers, you may need additional technology to ensure accuracy. Another critical area is copyright and intellectual property. If your organization utilizes generative AI trained on protected intellectual property, you risk generating content that could infringe on those protections. With numerous ongoing lawsuits related to generative AI, it's crucial to demand transparency from AI solutions regarding their use of copyrighted material. Bias is another significant concern. As you implement generative AI, consider the risk of introducing bias into your content. This can undermine your organization's commitments to equity and inclusion and may even lead to regulatory violations. It's essential to ensure that the content and algorithms used by your AI solutions are free from bias and that you have clear standards in place for inclusive communication. Sustainability is also a vital consideration. Generative AI requires substantial computational power, which can conflict with your organization's sustainability goals. As you explore the potential of generative AI, think critically about how it aligns with your commitments to sustainability. Finally, let's discuss the importance of measuring effectiveness. If your organization isn't tracking content productivity or impact, you risk making decisions without a clear understanding of what works. How can you articulate the return on investment from your generative AI initiatives if you're not measuring their effectiveness? As we wrap up, I encourage you to view the current slowdown in enterprise adoption of generative AI as an opportunity. By leading your organization into a more informed and strategic approach, you can navigate these six risk areas with confidence. Together, let's harness the power of generative AI to enhance our storytelling and create deeper connections with our audiences. Thank you for being here today

Hello everyone, I'm thrilled to share some thoughts with you today that I believe will resonate deeply as we navigate the ever evolving landscape of artificial intelligence. You might be wondering, what's in it for you? Well, I invite you to join me on this journey as we explore the fine line between genuine needs and artificial demands created by technology. Together, we'll uncover how to harness the true potential of AI to enhance our lives and work, rather than complicate them. Let's dive right in. Have you ever paused to consider whether a task is truly repetitive, or if it's simply labeled as boring to justify automation? A genuine need is something that people truly require to make their lives easier, to solve real problems, or to improve their daily activities. In contrast, an artificial need is something that we are led to believe we require, even though it doesn't genuinely enhance our well being or address a real issue. Unfortunately, the AI industry has often fallen into the trap of fostering these artificial needs by creating tools that don't address actual problems but instead create an illusion of necessity. Now, don't get me wrong AI has the potential to address many genuine needs in the workplace. It can streamline data analysis, enhance customer service, and automate tasks that are truly repetitive. It plays a crucial role in specialized fields like medical diagnostics, fraud detection, and scientific research. However, many companies in the consumer and enterprise AI space have strayed into the realm of artificial needs. Consider this: do we really need email summaries when we were already skimming our emails? Skimming allowed us to quickly judge what required deeper reading. Are we sacrificing our ability to think critically just to save a bit of time, or are we creating a workforce that relies on AI for tasks that people can easily handle themselves? Ultimately, are we solving real world problems, or merely creating digital distractions? Let's take a closer look at a common scenario. Nearly every professional has created PowerPoint slides at some point in their career. This opens the door for enterprise solutions that promise to enhance our daily workflows. Yet, many of these solutions have failed to deliver on their promises of increased productivity and efficiency. Take Microsoft Copilot, for instance. It claims to revolutionize how we work, yet it struggles with basic tasks like image generation. This leads professionals to frustrating workarounds, such as reverting to traditional image searches or using separate image generation tools, which ultimately negates any supposed efficiency gains. Now, let's compare the time it takes to get an image for a presentation. A Google or Creative Commons search might take around two minutes. A dedicated image generator could take about five minutes. But fumbling with Copilot? That could take an indefinite amount of time plus the eventual workaround. This raises an important question: how often do we actually need unique images? For most business users, the answer is rarely. Yet, we find ourselves paying premium prices for AI solutions that complicate simple workflows. The need for AI generated images in presentations was never a significant pain point for most users, yet it's being marketed as a must have feature. The disadvantages of these all in one AI platforms are piling up. We're dealing with clunky interfaces that try to do everything but excel at very little. There are restrictive enterprise policies that limit functionality, and a lack of transparency about the underlying technology powering these solutions. Not to mention, the subscription costs often far exceed the value delivered. So, I ask you: are we embracing AI because it genuinely solves problems, or because we've been convinced by tech companies that we need it? These challenges point to a deeper issue. Beyond the immediate frustrations and inefficiencies created by artificial needs, there's a more significant long term consequence for organizations investing in these solutions. The greatest cost of AI being marketed for invisible problems isn't just the financial price companies pay. It's the erosion of trust in AI tools among employees. Employees encounter AI in their personal lives through tools like ChatGPT, where they experience its limitations firsthand and develop justified skepticism. When workplace AI falls short of its marketing promises, employees often revert to familiar workflows, leading to wasted investments and failed digital transformation efforts. This creates a twofold challenge for adoption where it's genuinely needed: distrust in AI capabilities and frustration with AI outcomes. When employees continue to use AI tools that overpromise and underdeliver, they lose trust in AI even when it could genuinely help. As we move forward, AI leadership must prioritize real value. As someone once said, we must adjust to changing times while holding on to unchanging principles. In the era of AI, that principle is simple: we should build technology that solves real world problems. AI excels when it optimizes data analysis, enhances customer support, and advances fields like clinical diagnostics and anomaly detection areas where it truly addresses real issues instead of creating artificial needs. For AI to fulfill its promise of expanding opportunity, we must do more than just build AI

Hello, everyone! Today, I want to dive into a topic that's not just about technology, but about the intricate dance between innovation, regulation, and global markets. So, why should you stick around for this? Well, understanding these dynamics can empower you to navigate the ever evolving landscape of digital solutions and storytelling in your own ventures. Let's explore how the world of semiconductor chips is shaping the future of artificial intelligence and what it means for all of us. Recently, there's been a lot of buzz surrounding the export controls on semiconductor chips produced in the United States. It turns out that enforcing these restrictions may be more challenging than policymakers in Washington D.C. anticipated. Reports indicate that Chinese buyers are finding ways to acquire advanced computing systems equipped with Nvidia's Blackwell chips through third party traders in regions like Malaysia, Taiwan, and Vietnam. These traders are not just hoarding the technology for themselves; they're reselling it to companies in China, creating a complex web of transactions that complicates enforcement efforts. Now, let's rewind a bit. Just before leaving office, former President Joe Biden introduced sweeping new restrictions on chip exports, particularly targeting countries like China. At that time, Nvidia expressed concerns that these limitations could derail global innovation. Fast forward to last week, and we see Microsoft stepping into the conversation, reportedly urging President Donald Trump to reconsider these restrictions. Why? Because big tech companies are eager to tap into China's vast and growing AI market, which presents both opportunities and challenges. Meanwhile, China is taking its own measures. The country has recently advised its AI researchers to steer clear of the United States. This move highlights the increasing tension and competition in the tech landscape, where collaboration is often overshadowed by geopolitical considerations. In response to these developments, an Nvidia spokesperson shared some insights. They emphasized that AI data centers are among the most intricate systems globally. The spokesperson pointed out that anonymous traders simply cannot acquire, deliver, install, use, and maintain Blackwell products in unauthorized countries. Customers are looking for comprehensive systems that come with software, services, support, and upgrades elements that these anonymous traders cannot provide. Nvidia is committed to investigating any reports of potential diversion of their technology and taking appropriate actions. So, what does all of this mean for you? As we navigate this complex environment, it's crucial to understand the implications of these technological and regulatory shifts. The interplay between innovation and regulation is not just a distant concern; it's something that affects how we tell stories, engage with audiences, and build our digital strategies. As we move forward, let's keep our eyes on the horizon. The world of AI and technology is rapidly evolving, and those who can adapt and weave compelling narratives into their strategies will be the ones who thrive. So, I encourage you to stay curious, stay informed, and most importantly, stay engaged. Together, we can harness the power of storytelling to create deeper connections with our audiences and drive meaningful change in our industries. Thank you for joining me today. Let's continue this journey of exploration and innovation together!

Hello everyone, I'm thrilled to have this moment with you today. As we dive into the vast and ever expanding world of content, I want you to consider what this means for you and your business. In a landscape where storytelling and digital engagement are more crucial than ever, understanding the content omniverse can empower you to connect more deeply with your audience. So, let's embark on this journey together. The term "omniverse" might sound complex, but at its core, it refers to a universe that encompasses both space and time. Think of it as a vast expanse, and when we apply this concept to content, we find ourselves in an infinite realm filled with videos, social media interactions, images, and written words. This content omniverse is not just a buzzword; it's a reality that every executive and practitioner must grasp. Why? Because this ever growing vortex of content is expanding at an astonishing rate, and it's essential for us to keep pace. As of January 2024, there are over five billion internet users globally, which accounts for about sixty three and a half percent of the world's population. That's a staggering number! The average American spends nearly seven hours online each day, with social media taking up about two and a half of those hours. And let's not forget about video content Americans are streaming an average of two hours and thirty seven minutes of video daily. Just think about that for a moment. Three point twenty five billion hours of video are watched on YouTube every month. Now, when we talk about the content omniverse, it's easy to think of written text or images, especially those we see on platforms like Facebook. However, video has taken center stage. On YouTube alone, an astonishing seven hundred twenty thousand hours of video are uploaded every single day, with the platform receiving over one hundred thirteen billion visits each month. This leads to consumers watching more than one billion hours of YouTube videos daily. It's no wonder that ninety percent of American teens are using YouTube, with seventy three percent engaging with it daily. Let's take a step back in time. When Google acquired YouTube in two thousand six, the deal was worth one point sixty five billion dollars, and that was less than two years after the site launched. To put this in perspective, more video content is uploaded to YouTube in just one month than the three major U.S. networks ABC, CBS, and NBC have produced in over sixty years of broadcasting. That's a staggering amount of screen time! And we can't overlook the podcasting phenomenon. In twenty twenty three, eighty three percent of Americans aged twelve and older approximately two hundred thirty seven million people are now familiar with podcasts, a significant increase from the previous year. Furthermore, forty two percent of them listen to podcasts monthly, up from thirty eight percent in twenty twenty two. Now, who is consuming all this content? With nearly four point ninety five billion people using social media worldwide, it's clear that a large portion of content hungry consumers thrive in this digital space. A quick look at the numbers reveals almost three billion users in Asia, over three hundred forty five million in Latin America, and over three hundred ninety million in Africa. In North America alone, there are just over four hundred forty seven million users. When we combine social media with platforms like YouTube, we see that one hundred million hours of video are watched on Facebook every day, while Twitter reports two billion video views daily. The image content universe is equally impressive, with seven hundred fifty million monthly active users on Snapchat, two billion on Instagram, and over three billion on Facebook. As YouTube continues to dominate the video landscape, Facebook users are sharing three hundred fifty million new photos daily, while Flickr's one hundred twelve million users upload three point five million photos each day. Instagram users contribute ninety five million photos to the platform every single day. The rise of short form video content has opened new avenues for creators, especially among younger audiences. TikTok, with over one point five billion monthly active users, has captured the attention of many, with sixty three percent of its users aged between eighteen and thirty four. Marketers are already seizing the opportunity, with thirty three percent investing in short form video content in twenty twenty three. Content is not just a cost; it's an asset that can build authority, grow your brand, and extend your reach. Unfortunately, many leaders still view content as an expense rather than an investment that can yield significant returns over time. I often encounter executives who shift their perspective once they see the impressive ROI that other brands achieve through effective content strategies. The Google Search index is a testament to the vastness of our digital world, containing hundreds of billions of web pages and exceeding one hundred million gigabytes in size. For bloggers, WordPress users generate about seventy million new posts and seventy seven million new comments each month.

Hello everyone! Today, I want to take you on a journey through the fascinating world of AI driven marketing. As the founder of Summurai, I'm passionate about enhancing user experiences through intelligent design and compelling narratives. So, what's in it for you? By the end of this discussion, you'll understand how to create a consistent brand narrative using AI, and how this can transform your marketing strategy into something truly impactful. Let's dive right in. Imagine a scenario where your brand is posting content generated by AI. On one day, you share a video about sustainable fashion, and the next, you post something completely unrelated about cutting costs. Confusing, right? This disjointed messaging can erode trust and recognition among your audience. That's where a solution like LangMem comes into play. By integrating long term memory into our AI driven social media agents, we can ensure that the content generated is not just a series of isolated posts, but a cohesive narrative that resonates with your audience over time. Now, you might be wondering, what exactly is LangMem? Released on February eighteenth, twenty twenty five, this innovative tool allows AI agents to retain and refine knowledge over time. It's not just about short term context; it's about creating a memory system that learns from past interactions, updates brand guidelines dynamically, and maintains storytelling consistency. This is the secret sauce for achieving brand consistency in your marketing campaigns. LangMem offers three key types of memory, but for our purposes, we'll focus on Semantic Memory and Procedural Memory. Semantic Memory allows the AI to store facts and knowledge, while Procedural Memory helps it understand how to structure marketing campaigns effectively. This dual approach ensures that your AI agent can create content that is not only relevant but also engaging. To build a truly effective social media agent, we need to integrate LangMem with LangGraph. This combination allows us to create a self learning marketing assistant capable of analyzing, generating, and refining content in real time. In our previous discussions, we used SmolAgents, but now, with LangGraph, we have a more robust framework that natively integrates with LangMem. Let's break down the steps to initialize our AI's memory. First, we need to create a long term memory store that holds both Semantic and Procedural Memory. This persistent knowledge base is crucial for avoiding disconnected and inconsistent content. Once we have our memory set up, we can start storing key marketing knowledge. Instead of hardcoding facts into prompts, we'll store them in LangMem's long term memory, allowing the AI to retrieve and apply them dynamically. As we gather insights, we must also update our AI's memory. Marketing knowledge is ever evolving, and trends shift rapidly. For instance, if we discover that LinkedIn carousels are outperforming videos, we need to ensure our AI reflects this new insight in its content generation. Next, we'll refine our AI's Procedural Memory. This involves teaching our social media agent how to structure marketing campaigns effectively. By storing initial campaign guidelines in LangMem, we ensure that the AI follows a predictable format across multiple campaigns. But we won't stop there; we'll continuously refine these guidelines based on market feedback, ensuring that our campaigns remain relevant and engaging. Now, let's talk about generating AI driven marketing campaigns that learn and adapt. With both Semantic and Procedural Memory in place, our AI can create campaigns that evolve over time. For example, when tasked with creating a campaign about hiring and team building for startup founders, the AI will follow the stored campaign structure. Then, when we ask it to generate a follow up campaign on product development, it will seamlessly build on the insights from the previous campaign, ensuring continuity and depth. So, why is LangMem a game changer for AI marketing agents? Without memory, AI generates one off posts that lack continuity. With LangMem, we unlock brand consistency, content quality control, and marketing intelligence. The AI remembers brand identity, voice, and messaging across all content, ensuring that your marketing efforts are cohesive and impactful. As we look to the future, we've only scratched the surface of what's possible with memory driven marketing AI. We can explore advanced personalization, cross platform content adaptation, and real time performance optimization. The potential is limitless, and I'm excited to continue redefining AI driven social media marketing with all of you. Thank you for joining me today. Stay tuned for more insights as we push the boundaries of what AI can achieve in the world of marketing!

Hello everyone, I'm thrilled to be here with you today. As we stand on the brink of a new era in design, driven by the rapid advancements in artificial intelligence, I want to share some insights that could redefine how we approach our work. This is not just about keeping up; it's about thriving in a landscape that's evolving faster than ever. So, what's in it for you? By the end of this discussion, you'll have a clearer understanding of how to navigate these changes, enhance your skills, and ultimately, stay relevant in a competitive market. Let's dive into the heart of the matter. The design industry is experiencing a seismic shift, and generative AI is at the forefront of this transformation. Research from esteemed institutions like Harvard Business School and the German Institute for Economic Research reveals a staggering twenty one percent drop in demand for jobs susceptible to automation, just eight months after the launch of ChatGPT in late twenty twenty two. As designers, we must ask ourselves: how do we adapt to these rapid changes and maintain our significance? First, let's talk about the automation and augmentation of our tasks. Technology has been reshaping how we work for decades. Think about the evolution of an accountant's role. While the title remains the same, the daily tasks have transformed dramatically from manual calculations on paper in nineteen fifty four to automated processes in advanced spreadsheets today. Similarly, our design tasks vary widely, from facilitating workshops to creating wireframes and implementing design systems. Erik Brynjolfsson highlights two primary ways AI will influence our work: automation and augmentation. Some of our existing tasks will be automated, while new opportunities will emerge, allowing us to expand our capabilities. Automation will enable us to perform certain tasks more efficiently. For instance, tools like Miro and Mural can automatically organize sticky notes, and ChatGPT can draft emails. As AI continues to evolve, we can expect this trend to grow, but it's crucial to remember that automation doesn't mean we hand over our responsibilities entirely. Instead, it's about enhancing our efficiency while maintaining human oversight. Now, let's explore task augmentation. AI will empower us to tackle tasks that previously lay outside our expertise. Imagine being able to analyze complex data patterns without needing a data analyst or creating prototypes without a developer. This shift will redefine our roles, allowing us to move from merely designing screens to establishing the rules that generate them. However, as we embrace these changes, we must also recognize the increasing competition in our field. As designers expand their skill sets, the job market will inevitably become more competitive. Fewer contributors will be needed as individual designers take on more responsibilities. To remain relevant, we must rethink our approach to our skill sets. One principle to guide us is to own strategic thinking while outsourcing tactical tasks. Not all tasks are created equal. A UX designer, for example, may define a product vision while also managing design assets. It's essential to identify which tasks are suitable for automation. Tactical tasks, such as organizing data or generating quick mockups, are prime candidates for AI assistance. However, we must be cautious about automating strategic tasks that require nuanced judgment and human insight. Another principle is to balance trust in AI with scrutiny. As we integrate AI into our workflows, we must remain vigilant about the biases it may introduce. AI systems reflect the data they're trained on, which can perpetuate existing inequalities. By critically assessing AI generated insights and validating them against real world user research, we can ensure that our designs remain equitable and inclusive. Next, we must design for both users and AI agents. As AI becomes an integral part of our ecosystems, we need to rethink our design approach. This means considering not only how human users interact with our systems but also how AI agents will engage with them. For instance, in a healthcare appointment scheduling system, an AI assistant must be able to query the system for available times and confirm bookings seamlessly. We should also embrace team augmentation. AI powered tools will enable unprecedented collaboration across disciplines. Imagine a world where designers, developers, and analysts work together more fluidly, breaking down traditional boundaries. This collaboration could lead to innovative solutions and a more dynamic work environment. Finally, we must address the unequal effects of AI to prioritize well being. As UX designers, it's our responsibility to ensure that the systems we create respect and enhance the experiences of all users, not just the most visible groups. By embedding equity and inclusivity into our design practices, we can create AI powered systems that empower rather than marginalize. In conclusion, as we navigate this exciting yet challenging landscape, let's embrace these principles to enhance our work and foster deeper connections with our audiences. Together, we can ensure that our designs not only adapt to the future but also shape it for the better. Thank you for joining me on this journey today.

Hello everyone, I'm thrilled to be here with you today. As we stand on the brink of a new era in design, driven by the rapid advancements in artificial intelligence, it's crucial to explore how we can navigate these changes and remain relevant in our field. So, what's in it for you? By the end of this discussion, you'll have a deeper understanding of how to adapt your skills and strategies to thrive in this evolving landscape. Let's dive in! The impact of generative AI on our industry is profound. Recent research from esteemed institutions like Harvard Business School and the German Institute for Economic Research reveals that demand for jobs susceptible to automation dropped by twenty one percent just eight months after the launch of ChatGPT in late twenty twenty two. As designers, we must ask ourselves: how do we navigate these fast paced disruptions? First, let's talk about automation and augmentation. Technology has been reshaping how we work for decades. Think about the role of an accountant. While the title remains the same, the daily tasks have transformed dramatically from manual calculations on paper in nineteen fifty four to using advanced spreadsheets in twenty twenty four. Similarly, our design tasks vary based on our roles and expertise, encompassing everything from facilitating workshops to implementing design systems. Erik Brynjolfsson highlights two main ways AI will influence our work: through automation and augmentation. Some of our existing tasks will be automated, while new tasks, previously beyond our reach, will become accessible. Automation allows us to perform tasks more efficiently. Today, tools like Miro and Mural can automatically cluster sticky notes, and ChatGPT can draft emails. As AI technology advances, we can expect this automation to expand in both scope and intensity. However, it's important to remember that automation doesn't mean we hand over our responsibilities entirely to AI. Instead, it empowers us to work more efficiently by combining AI capabilities with our human oversight. On the other hand, augmentation opens up new possibilities. AI will enable us to tackle tasks that traditionally fell outside our expertise. For designers, this means interpreting complex data patterns without needing a data analyst or coding prototypes without a developer. We'll shift from merely designing screens to defining the rules that generate them, enhancing our capabilities in ways we're just beginning to explore. As we embrace these changes, we must also acknowledge the increasing competition in the design field. With automation and augmentation happening simultaneously, productivity will rise. We'll spend less time on certain tasks while accomplishing more in others. However, as designers take on more responsibilities outside their traditional roles, the job market will become more competitive. To stay relevant, we must rethink our skill sets. So, how do we adapt? The first principle is to own strategic thinking while outsourcing tactical tasks. Not all tasks are created equal. Designers often juggle a mix of tactical and strategic responsibilities. For instance, a UX designer might define product vision while also organizing design assets. It's crucial to identify which tasks to automate. Tactical tasks, like organizing data or generating quick mockups, are ideal candidates for automation. By offloading these tasks to AI, we free up time for high impact activities. However, automating strategic tasks, such as crafting a design vision, can be risky. These require nuanced judgment and an understanding of human behavior that AI cannot replicate. The second principle is to balance trust in AI with scrutiny. As AI becomes a trusted collaborator, we must remain vigilant about the biases it may introduce. AI systems reflect the limitations of the data they're trained on. If we rely too heavily on AI without questioning its outputs, we risk perpetuating biases that disconnect our designs from the needs of diverse users. By maintaining our critical thinking, we ensure that AI enhances our work without compromising our responsibility to create equitable and meaningful user experiences. The third principle is to design for both users and AI agents. AI will increasingly become an active participant in the ecosystems we design. This shift requires us to rethink user interactions and the broader dynamics of our field. We must consider how AI agents will engage with our systems and optimize services on behalf of users. Next, we must embrace team augmentation. AI powered tools will extend our teams' capabilities beyond traditional boundaries. Imagine a world where designers conduct data analysis, developers craft user interfaces, and analysts write code. This increased functional overlap could lead to unprecedented collaboration, breaking down barriers that have historically hindered our work. Finally, we must address the unequal effects of AI to prioritize well being. As UX designers, we have a responsibility to ensure that the systems we create respect and enhance the well being of everyone they touch. Significant technological shifts risk exacerbating existing inequalities. By embedding equity and inclusivity into our design practices, we can create AI powered systems that empower rather than marginalize. As we move forward, let's embrace these principles and work together to shape a future where technology enhances our creativity and fosters deeper connections with our audiences. Thank you for joining me on this journey today.

Hello everyone! Today, I want to share some insights that could transform the way you think about email. You might be wondering, why should I care about email in a world dominated by social media and instant messaging? Well, let me tell you, email is not just surviving; it's thriving. It's a powerful tool that can help you connect with your audience on a deeper level. So, stick with me as we dive into the fascinating world of email and discover how it can elevate your storytelling and digital strategies. Email is a workhorse dependable, effective, and enduring. Despite the rise of social media and messaging platforms, email remains a dominant means of communication. Since the first email was sent over fifty years ago, its use has only grown, and it shows no signs of stopping. In fact, research from The Radicati Group predicts that the number of worldwide email users will reach nearly four point six billion by the year twenty twenty five. But email hasn't just persisted; it has evolved. Content creators have reimagined this medium countless times. From the introduction of drip campaigns to the rise of personalization, and the recent boom in newsletter subscription services like Substack and Ghost, email is a channel that knows no bounds. Let's talk about some trends. Email use has experienced relentless growth, especially during the global pandemic. According to Mailgun, the email delivery service used by Substack and Ghost, the online publishing industry has more than quadrupled its email sending volume over the last two years. That's impressive, right? The worldwide daily email traffic continues to balloon. By the end of twenty twenty five, it's forecasted that over three hundred seventy six billion emails will be sent and received every day. And by twenty twenty eight, that number is expected to exceed four hundred twenty four billion. Now, here's something interesting: nearly forty percent of senders have simplified their emails to increase authenticity, and almost a third have adapted their tone to feel more human. This shift is crucial in a world where genuine connection matters more than ever. When it comes to email marketing, the return on investment is remarkable. Companies make an average of thirty six dollars for every one dollar spent on email marketing. In the retail, e commerce, and consumer goods sectors, the ROI can be as high as forty five dollars. This shows that email remains a top marketing channel, with effective B2B strategies ranking email alongside in person events and webinars. Speaking of growth, there are now over two million paying subscribers on Substack, and the top ten authors on the platform collectively earn over twenty five million dollars a year. Email marketing revenue continues to rise, with projections indicating it will surpass nine point five billion dollars in twenty twenty four. Artificial intelligence is also making waves in the email landscape. While AI isn't ready to fully automate your email tasks just yet, it can help shift tones and brainstorm potential subject lines. AI tools can analyze data from high performing email subject lines and generate a plethora of ideas for you. So, how can you make the most of your email campaigns? Personalizing subject lines can increase open rates by twenty six percent. Timing matters too; in the United States, the most popular reading time for emails is in the morning. About seven percent of all opens happen at ten a.m., and twenty one percent occur between nine a.m. and noon. Segmentation is another powerful strategy. By targeting specific audiences and sharing relevant content, you can convert subscribers into customers more effectively. Setting up an automated onboarding series can also enhance your content marketing, especially for small businesses. And let's not forget about triggered campaigns. These emails, based on changes in customer behavior, can significantly improve conversion rates, order values, and reduce cart abandonment. As we navigate this digital landscape, protecting against phishing attacks is crucial. Implementing domain based message authentication, reporting, and conformance is essential for safeguarding your brand's reputation. With mobile devices accounting for sixty percent of email campaign reads, it's vital to ensure your emails render correctly on all devices. Finally, remember to follow the laws governing email marketing. Regulations vary by country, and staying informed is key to maintaining compliance. In conclusion, email is a tried and true method for deepening relationships with your customers and audiences. By leveraging the insights I've shared today, you can use email wisely to promote your content and advance your digital strategies. Thank you for joining me on this journey into the world of email!

Hello everyone, I'm thrilled to share some insights that could transform the way you think about content in our ever expanding digital landscape. Today, we're diving into what I like to call the content omniverse a vast and intricate web of information that's reshaping how we connect, engage, and communicate. Now, you might be wondering, what exactly is the content omniverse? Picture this: it's not just a universe; it's a four dimensional space filled with endless possibilities. The internet has become an infinite abyss of videos, social media interactions, images, and written content. It's crucial for us, as professionals and creators, to understand this phenomenon and the staggering statistics that come with it. Why? Because this vortex of content is growing at an astonishing rate, and if we want to stay relevant, we need to keep pace. As of January 2024, there are over five billion internet users worldwide, which accounts for about sixty three point five percent of the global population. Can you believe that the average American spends nearly seven hours online each day? Out of that, two hours and twenty seven minutes are dedicated to social media, while two hours and thirty seven minutes are spent streaming videos. That's a lot of screen time! In fact, YouTube alone sees a staggering three point twenty five billion hours of video watched each month. Now, let's talk about the power of video. It's no longer just a supplementary form of content; it's at the forefront of engagement. Each day, an astonishing seven hundred twenty thousand hours of video are uploaded to YouTube, which receives around one hundred thirteen billion visits monthly. This results in consumers watching over one billion hours of YouTube videos every single day. And here's a striking statistic: ninety percent of American teens report using YouTube, with seventy three percent saying they use it daily. When Google acquired YouTube back in two thousand six for one point sixty five billion dollars, it was just a couple of years after the platform launched. Fast forward to today, and more video content is uploaded to YouTube in a single month than what the three major U.S. networks ABC, CBS, and NBC have produced in over sixty years. That's mind boggling! And let's not overlook the podcasting boom. In twenty twenty three, eighty three percent of Americans aged twelve and older approximately two hundred thirty seven million people are familiar with podcasts, up from seventy nine percent the previous year. Furthermore, forty two percent listen to podcasts monthly, a significant increase from thirty eight percent in twenty twenty two. So, who's consuming all this content? With nearly four point ninety five billion people using social media globally, it's clear that a massive audience is hungry for engaging material. A quick breakdown reveals nearly three billion users in Asia, over three hundred forty five million in Latin America, and over three hundred ninety million in Africa. In North America alone, just over four hundred forty seven million people are active on social media platforms. When we combine social media with YouTube, the numbers are staggering. One hundred million hours of video are watched on Facebook daily, while Twitter reports two billion video views every day. The image content universe is equally impressive, with Snapchat boasting seven hundred fifty million monthly active users, Instagram with two billion, and Facebook with over three billion. As we explore this landscape, we can't ignore the rise of short form video content. TikTok, with over one point five billion monthly active users, has captured the attention of younger audiences, with sixty three percent of its users aged between eighteen and thirty four. Marketers are already recognizing this trend, with thirty three percent investing in short form video content in twenty twenty three. Content is not just a cost; it's an asset that can build authority, grow your brand, and extend your reach. Unfortunately, many leaders still view content as an expense, similar to travel costs, rather than recognizing its potential to impact business goals over time. I often encounter executives who shift their perspective once they see the return on investment that effective content strategies can yield. As we navigate this content omniverse, remember that the Google Search index contains hundreds of billions of web pages, and WordPress users alone produce about seventy million new posts and seventy seven million new comments each month. In this digital age, eighty six percent of Americans consume news through their smartphones, tablets, or computers. So, let's embrace the power of storytelling and intelligent design in our digital strategies. Together, we can foster deeper connections with our audiences and thrive in this ever evolving landscape. Thank you for joining me on this journey through the content omniverse!

Hello everyone! Today, I want to dive into a topic that's not just fascinating but incredibly relevant to our world today the unique characteristics and preferences of Generation Z. As we explore this generation, born between nineteen ninety seven and two thousand twelve, we'll uncover how their upbringing in a digital landscape shapes their behaviors, values, and expectations. So, what's in it for you? Understanding Gen Z can empower you to connect more deeply with this audience, whether you're a business leader, a marketer, or simply someone curious about the future. Let's start with their relationship with technology. Gen Z has been surrounded by technology their entire lives. Navigating online platforms feels as natural to them as breathing. They are the first true digital natives, growing up in a world dominated by smartphones and constant connectivity. This generation spends an impressive amount of time online, with many reporting that they use platforms like YouTube, Instagram, and TikTok daily. In fact, nearly all American teenagers aged thirteen to seventeen are on TikTok, with a significant portion using it almost constantly. Their online presence is not just for entertainment; it's a vital part of their social lives. Now, let's talk about how they engage with content. Gen Z is not just consuming media; they are creating connections, sharing experiences, and expressing themselves through various platforms. On average, they spend about four hours a day on apps, excluding games, and a staggering ninety eight percent own a smartphone. Their device of choice? You guessed it smartphones. This generation has a unique relationship with social media, particularly video first platforms, which have become integral to their daily lives. When it comes to shopping, Gen Z has shifted the paradigm. In today's subscription based economy, access often outweighs ownership. They are willing to pay for better quality, enhanced experiences, and convenience. Interestingly, while many anticipate rising prices, a majority still plan to maintain or increase their spending. This generation values high quality products and is influenced by their peers when making purchasing decisions. They are comfortable transacting within social platforms, seamlessly blending their social and shopping experiences. Social media plays a crucial role in shaping their purchasing habits. A significant percentage of Gen Zers acknowledge that social media influences their buying decisions. To effectively reach this audience, businesses must adopt an omnichannel strategy, utilizing multiple platforms to create personalized experiences. Gen Z expects brands to understand their preferences and provide a shopping experience that feels familiar yet innovative. But it's not just about shopping; Gen Z is deeply concerned about social issues. They prioritize social change and corporate responsibility, often scrutinizing brands for their environmental impact. Many believe it's too late to reverse climate change, and they want to see authenticity in corporate messaging. They are looking for brands that align with their values and contribute positively to society. Mental health is another significant concern for this generation. A large portion of Gen Z has reported experiencing stress related symptoms, and they are actively seeking ways to manage their mental well being. They value self expression and identity, often gravitating towards brands that help them articulate who they are. Diversity and inclusion are also paramount; they expect brands to address these topics and reflect them in their advertising. As we look at the broader implications of Gen Z's preferences, it's clear that they are more diverse and educated than any previous generation. They consume media not just for entertainment but to stay informed and voice their opinions. This generation is pragmatic and analytical, often seeking multiple sources of information to form their perspectives. They are driven by ambition and a desire for authenticity in the brands they support. In conclusion, understanding Generation Z is not just about recognizing their habits; it's about appreciating their values and the world they inhabit. As they continue to shape the future of marketing and consumer behavior, it's essential for us to adapt and engage with them authentically. So, let's embrace this opportunity to connect with Gen Z and create meaningful experiences that resonate with their unique worldview. Thank you for joining me on this exploration today!

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