We don’t accept the status quo of large construction projects going over time and over budget. That’s why we created the Foresight platform to help teams keep their projects on time and on track. Leading companies are using Foresight to deliver their projects faster. They use it's actionable insights and intelligent work management to cut through complexity and enable their teams and contractors to attain project delivery excellence. The platform uses your existing schedule data to deliver insights and workflow automations that really matter. The result? Less time spent on reporting, fewer unforeseen risks, and up to a 10% reduction in project duration. Foresight leverages Noble-prize winning research in psychology and economics to create the world’s first platform that continually learns to support you.

Foresight Works

The AI Odyssey: A Journey Through its History and Philosophical Implications

Ishan Pandey: Hi, TJ Kawamura. I am delighted to welcome you to our "Behind the Startup" series. Could you please provide insights into the inspiration behind Everyworld and how it aligns with Everyrealm's overall mission and vision? Everyrealm is, at its core, a social gaming company. There are some really interesting applications of social gaming and blockchain together. Cryptocurrencies have an awesome power to bring people together, rallying communities to collaborate toward common goals. We started to think about harnessing the positive aspects of blockchain technology, which bring communities together, and building a new product centered around an enormous and growing industry—video gaming—and serving a genuine business need by driving new customers to video games through a rewarded ads model, which is one of the fastest-growing ad verticals. What if the global content network of the future that rewards its users?  That’s the idea behind Everyworld. TJ Kawamura: Ishan Pandey: How does Everyworld's blockchain-enabled protocol differentiate itself from traditional advertising platforms, and what advantages does it offer to both users and advertisers? Everyworld is the world’s first web3 ad network that was designed specifically to benefit users and the public good equally. The project is a rewarded ads protocol, where players are rewarded for watching video content. The more that users play and engage, the more chances they receive to participate in the drawing. This represents a complete reimagining of the traditional advertising model, giving users the opportunity to earn crypto rewards for simple things they already do every day. Everyworld is powered by its own cryptocurrency, called $Every. TJ Kawamura: Ishan Pandey: With the rise of ad-blocking software and growing concerns over privacy, how does Everyworld address these challenges while still providing value to advertisers? TJ Kawamura:  By explicitly and transparently embracing the desire for personal gain through an on-chain reward system, Everyworld is designed to provide the gamified satisfaction of unpredictable payouts. For each Drawing, Everyworld will use an on-chain randomizer on Base to produce a provably fair and randomly selected winner, which can be verified leveraging blockchain technology. Ishan Pandey: Could you elaborate on your user acquisition strategy and provide insights into the level of engagement observed thus far? TJ Kawamura: More than 90,000 people are playing the beta version of the Everyworld game in Discord. Collectively they have watched more than 50 million videos and earned more than 1 billion points.  Users are rewarded for referring friends and sharing about Everyworld on social media. Ishan Pandey: Could you provide details on Everyrealm’s strategic partnerships with venture capital firms and explain the ways in which these collaborations bolster Everyrealm's growth and success? TJ Kawamura: Many Tier 1 venture capital firms who have invested in Everyrealm. Everyworld was developed by the Everyrealm team, which is backed by A16Z Crypto, Hashed, Coinbase Ventures, Animoca Brands,, Dragonfly, Foresight Ventures, NGC and others.  A complete list of investors is on the Everyworld website at everyworld.com Ishan Pandey: As Everyworld evolves, what new features or enhancements can users expect to see, and how do these developments align with the platform's goals? TJ Kawamura: A proprietary web and mobile app are in the works. The goal is to create an experience that resonates with a broad audience including one that is not inherently crypto-savvy by making a sleek UX and a familiar and fun experience that appeals to a young, tech-loving audience. Ishan Pandey: Looking ahead, what are the key milestones and goals that Everyrealm aims to achieve in the next few years, and how do you envision the future of social gaming and digital advertising evolving with platforms like Everyworld leading the way? TJ Kawamura:  We look forward to onboarding the first million users and expanding into new markets, and becoming a global cultural phenomenon.  Everyworld aims to become the first mainstream crypto project that attracts a significant non-crypto user base. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Revolutionizing Digital Advertising: Inside Everyworld's Game-Changing Model

বিপ্লবী ডিজিটাল বিজ্ঞাপন: এভরিওয়ার্ল্ডের গেম-চেঞ্জিং মডেলের ভিতরে

Revolutionierung der digitalen Werbung: Einblicke in das bahnbrechende Modell von Everyworld

Revolucionando la publicidad digital: dentro del modelo revolucionario de todos los mundos

Révolutionner la publicité numérique : à l'intérieur du modèle révolutionnaire d'Everyworld

डिजिटल विज्ञापन में क्रांतिकारी बदलाव: हर दुनिया के गेम-चेंजिंग मॉडल के अंदर

デジタル広告に革命を起こす: Everyworld の革新的なモデルの内部

디지털 광고 혁명: Everyworld의 판도를 바꾸는 모델 내부

Revolucionando a publicidade digital: por dentro do modelo revolucionário de Everyworld

Революция в цифровой рекламе: внутри революционной модели Everyworld

Dijital Reklamcılıkta Devrim Yaratmak: Everyworld'ün Oyunun Kurallarını Değiştiren Modelinin İçinde

Cách mạng hóa quảng cáo kỹ thuật số: Bên trong mô hình thay đổi trò chơi của mọi thế giới

数字广告革命：深入了解每个世界的游戏规则改变模式

Artificial intellige­nce that can generate­ content is quickly changing the way search e­ngine optimization (SEO) works. These new-age language models and machine­ learning systems can study huge amounts of information. The­y can also comprehend context and me­aning and produce content that sounds like a human wrote­ it. This creates brand-new opportunitie­s for SEO professionals to simplify processes, gain valuable­ insights, anticipate future trends, and craft more­ relevant content optimize­d for search engines. Here are some of the top use cases where generative AI can elevate your SEO strategy: Improving Site Architecture and Internal Linking An intuitive site structure with an optimized internal linking strategy is key for helping search engines understand your content topics and hierarchy. Generative AI can examine your existing content inventory and user search data to extract a clear logical taxonomy and category structure that aligns with user intent throughout the buyer journey. AI technology scans use­rs' browsing habits and queries to build a navigation system that's intuitive­ and customized. This enhanced, e­asy-to-use experie­nce boosts those all-important user e­ngagement numbers which he­lp sites rank better. No more­ frustrating, hit-or-miss site navigation — instead, a streamlined journey thanks to artificial intelligence­ analyzing usage trends. Conducting Smarter Keyword Research Rather than just looking at keyword volumes, generative AI enables more intelligent and contextual keyword research by understanding relevance and search intent. You can try using Bing Chat from Microsoft! It's an amazing tool that lets you prete­nd to be a customer looking for information. You can ask all sorts of questions just like­ a real person would. Then, Bing Chat will show you the­ top search results for those que­stions. It works for all kinds of searches, whethe­r you're trying to find products to buy online or just looking for gene­ral info. But that's not all! The really cool part is that this AI tool can look at all the top re­sults and find patterns. It can see what topics ke­ep coming up, what types of content are­ most popular, and how people use ce­rtain keywords in different situations. With this information, you can cre­ate a content strategy that give­s your audience exactly what they want to read or watch! Instead of just following whateve­r was hot yesterday, you'll know the ne­west trends before­ anyone else. Identifying Opportunities for Rich Results Using schema markup to qualify for SERP features like FAQ-rich results, HowTo instructions, product listings, and more can significantly increase your visibility and click-through rates from universal results. Generative AI assistants can review your content catalog and suggest relevant rich data opportunities. They can then generate the precise schema code required, improving technical SEO implementation. Tools like ChatGPT can also analyze your top-ranking pages and suggest formatting tweaks like adding section links or rewriting introductory text to increase your chances of earning coveted featured snippet placements. Analyzing Sentiment and Off-Site Signals In the age of prioritizing E-E-A-T (experience, expertise, authoritativeness, and trust), monitoring brand sentiment and capitalizing on off-site endorsement signals are crucial for establishing authority. AI can gather data about companies and ite­ms from websites and social platforms. It looks at comments, both good and bad, and sugge­sts ideas. This helps improve products, plan conte­nt, and build a brand that gets top spots on search engines. Enriching Content and Persona Alignment Creating content that truly connects with your audience requires understanding their emotional needs, interests, and inherent preferences. Generative AI assistants like Claude can analyze data sources like customer surveys, forum discussions, reviews, and more to extract deep insights into your key personas. It can identify emotional triggers, underlying needs, commonly used vocabulary, and other psychological clustering signals that allow you to refine your content strategy and creative process. This produces more resonant, emotionally intelligent content that helps in  engagement and meets the E-E-A-T criteria of being truly valuable and high-quality for your intended audience. Predictive Modeling of Trends and Opportunities Instead of reacting after the fact when a trend emerges, generative AI enables predictive content planning. It can continuously monitor search data, news and social media sources, sales figures, and other real-time datasets to forecast growing topics, shifts in demand, product interest spikes, and other consumer behavior patterns before they become trends. This foresight provides a significant competitive advantage, allowing you to develop content and prepare inventory ahead of market movements to capitalize on nascent opportunities before your competitors. Automating Tedious Analysis and Reporting Many routine SEO tasks involved in data gathering, analysis, and reporting can be streamlined through generative AI assistants. AI tools can help you save­ time and work smarter by automating tedious tasks. From gathe­ring and analyzing data from analytics tools to creating visually appealing prese­ntations that showcase your SEO progress through charts and graphs, AI can streamline­ your workflow. You can bring AI assistants like ChatGPT into your web applications and project manage­ment software using APIs and no-code platforms. This allows you to automate­ repetitive tasks like­ generating regular status re­ports and insights, freeing up your time and e­nergy to focus on more strategic and important prioritie­s. Powering Advanced Content Generation While AI-generated creative assets are still not a complete replacement for skilled humans, generative models can increasingly aid the content development process as a force multiplier. AI assistants can draft outlines, generate section drafts, or propose ways to frame and structure content based on your parameters around tone, audience, word counts, and other guidelines. This augments creative workflows, with humans providing strategic oversight, subject matter expertise, and quality assurance while offloading some of the heavy lifting to AI co-pilots. Over time, the quality and sophistication of generative AI content will continue advancing. Suggesting Content Enrichments and Enhancements In addition to aiding with net new content development, generative AI can analyze your existing content catalog to surface areas for improvement regarding depth, freshness, comprehensiveness, and alignment with searcher needs. Whether suggesting additional sections to expand content coverage, proposing internal linking suggestions to improve information flow, or identifying stale material requiring updates or repurposing, AI assistants provide another set of eyes to ensure your content remains optimized in an ongoing capacity. Personalizing and Dynamically Updating Content For very large, complex websites, keeping content fresh and continuously optimized is a tough challenge. Enterprise domains can use generative AI's capability to personalize content in real-time based on user signals and contextual data. Perhaps an e-commerce site could incorporate a user's browsing history and geolocation data to dynamically adjust a product description's tone and highlight details when someone views that page. This level of granular, AI-powered content adaptation and personalization can drastically improve relevance levels compared to static content simultaneously served to all visitors. In Conclusion As these use cases illustrate, generative AI integration for SEO spans technical grounds like architecture and keyphrase strategy to creative fields like content development and multimedia asset generation. By using these powerful AI models' analytical prowess and their capacity for human-like content production, you can gain the ability to scale, accelerate, and elevate your SEO work to much more sophisticated and impactful levels.

Top Use Cases of Generative AI in SEO

AI has radically reshaped predictive analytics, making forecasting more precise than ever before. Businesses in all industries are taking advantage, capitalizing on AI’s wide-ranging capabilities to anticipate future trends and prepare for what’s coming around the corner. The accuracy of any forecast hinges on a number of factors: the sophistication of , the robustness of predictive models, and the quality and quantity of the data they’re trained on, to name a few. AI algorithms is a generative pre-trained model specifically designed for predicting time-series data. It’s a powerful asset that will allow you to forecast future outcomes with greater precision, giving you the foresight to capitalize on upcoming opportunities and dodge possible pitfalls. Nixtla’s TimeGPT Below, we’ll put TimeGPT under the microscope, analyze it from all angles, and show how you can integrate it with your database to maximize the full potential of predictive analytics. What is TimeGPT? TimeGPT is a pre-trained generative model for time-series data forecasting. Its core functionality is to predict future values in a time series based on historical data. The application processes data sequentially, using a windowing technique to analyze historical data points and recognize patterns. This enables it to predict future values by extrapolating these identified patterns. An overview of TimeGPT : Nixtla's TimeGPT applies pre-trained models to time-series data, using the data collected to predict new datasets without specific training, a departure from traditional models. Innovative Pre-training : TimeGPT excels in identifying complex patterns in time series data, surpassing many traditional models in trend, seasonality, and anomaly detection. Advanced Pattern Recognition : By using advanced neural networks, TimeGPT offers efficient forecasting, reducing the time and resources typically needed for time series analysis by eliminating dataset-specific retraining. Efficient Forecasting : Unlike static traditional models, TimeGPT has the potential for ongoing learning and adaptation, maintaining accuracy as new data emerges. Continuous Learning and Adaptation TimeGPT’s features and benefits As one of the leading predictive analytics models, TimeGPT offers advanced capabilities that provide a variety of unique features, making it a powerful asset for managing complex forecasting scenarios. These include: Anomaly Detection Leveraging predictive modeling techniques, TimeGPT excels in identifying unusual patterns or outliers in time series data, which are often indicative of significant but unexpected events. Feature: This feature is crucial for businesses and analysts in quickly detecting and responding to unusual occurrences, ensuring that forecasting models remain accurate and reliable, even in the presence of aberrations. Benefit: Exogenous Variables Handling TimeGPT can incorporate external factors or exogenous variables (like weather conditions for retail sales forecasting) into its analysis. Feature: This ability allows for more nuanced and accurate forecasts by considering the impact of external elements, which is particularly useful in scenarios where external factors significantly influence the data trends. Benefit: Fine-tuning While TimeGPT is a pre-trained model, it offers the capability for fine-tuning to adapt to specific datasets or unique forecasting needs. Feature: This feature enables users to tailor the model more closely to their specific requirements, enhancing the accuracy and relevance of the forecasts in specialized contexts. Benefit: Historical Forecasting TimeGPT can analyze past data to generate historical forecasts, allowing users to understand how the model would have predicted past events. Feature: This is particularly beneficial for validating the model’s accuracy and reliability, giving users confidence in its future predictions. Benefit: Managing complex forecasting scenarios TimeGPT’s features are especially beneficial when handling complex scenarios such as holidays, special dates, and irregular timestamps. These events can significantly impact trends in time series data. TimeGPT’s ability to detect anomalies and incorporate exogenous variables helps in accurately forecasting around these dates, considering their unique impact. Holidays and Special Dates: Time series data can sometimes be irregular or have missing points. TimeGPT’s sophisticated algorithms can handle such irregularities, ensuring consistent and accurate forecasting even with non-uniform data. Irregular Timestamps: Deploying TimeGPT models in MindsDB MindsDB is the platform for building custom AI from enterprise data. It works by connecting any source of data with any AI/ML model or framework and automating how real-time data flows between them. MindsDB bridges data sources with advanced AI/ML models like TimeGPT. This allows you to easily create, train, and manage these models, making it particularly beneficial to those who have minimal experience in machine learning. Integrating TimeGPT into MindsDB begins with creating a TimeGPT ML engine using the below statement and providing the TimeGPT API key. CREATE ML_ENGINE timegpt_engine
FROM timegpt
USING timegpt_api_key = ‘timegpt-api-key’; Next, users can employ the statement to create, train, and deploy the TimeGPT model. CREATE MODEL CREATE MODEL model_table
FROM data_source
  (SELECT * FROM data_table)
PREDICT column_to_be_predicted
ORDER BY date_column
GROUP BY column_name, column_name, ...
HORIZON 3 -- model forecasts the next 3 rows
USING ENGINE = 'timegpt_engine'; Now you can query the model to get forecasts: SELECT m.date_column, m.column_to_be_predicted
FROM data_table AS d
JOIN model_table AS m
WHERE d.date_column > LATEST; With MindsDB, you can automate forecasts and generate them constantly for any downstream usage. It is especially useful when you have dynamic data that gets updated regularly. Then, the model should be fine-tuned with the latest data to provide as accurate forecasts as possible. Here, we create a job that fine-tunes the model with the latest data and saves daily forecasts in a database table. CREATE JOB automate_forecasts (

   FINETUNE model_table
   FROM data_source
      (SELECT * FROM data_table);

   CREATE TABLE daily_forecasts_{{START_DATETIME}} (
      SELECT m.date_column, m.column_to_be_predicted
      FROM data_table AS d
      JOIN model_table AS m
      WHERE d.date_column > LATEST
   )
)
EVERY 1 day; To see a complete example, visit our . You can find more . docs page here forecasting use cases here How to use TimeGPT in predictive analytics Companies must be agile enough to react to minute-by-minute market changes. Using predictive analytics techniques, such as those enabled by TimeGPT, will help keep you a step ahead and even give you a competitive advantage. Businesses can utilize TimeGPT in several key areas, including: Financial Forecasting TimeGPT’s proficiency in processing and interpreting time-based data leads to more precise forecasts in the fluctuating realm of finance. Its ability to identify current trends and subtle nuances within financial datasets helps to create more informed investment strategies. Demand Prediction In industries like retail and manufacturing, TimeGPT aids in predicting product demand. This is crucial for inventory management, supply chain optimization, and strategic planning. By analyzing historical sales data and market trends, TimeGPT can forecast future demand patterns, helping businesses to prepare and adapt effectively. Anomaly Detection The model's approach to sequential learning proves advantageous in detecting anomalies, like spotting unusual patterns in network traffic for cybersecurity or identifying machine performance irregularities for predictive maintenance. This function is crucial in averting potential problems before they intensify. Predictive analytics use cases Here are just a few ways to use TimeGPT for accurate predictive analytics. TimeGPT performs well compared to traditional methods in stock price prediction, aiding investors and analysts. Stock Market Analysis: : It predicts healthcare trends, which is important for resource allocation and planning. Healthcare Trend Anticipation TimeGPT predicts future demands in logistics, improving efficiency and reducing costs. Supply Chain Optimization: It forecasts retail buying trends, aiding in inventory management and targeted marketing. Retail Customer Behavior Analysis: TimeGPT identifies potential equipment failures, minimizing downtime and maintenance costs. Manufacturing Predictive Maintenance: TimeGPT in the real world Global business is more complex and interconnected than ever. One false move in a single industry can have a ripple effect in several others, making it crucial for companies to leverage predictive analytics to foresee, prepare, and react to future events. With its advanced time-series analysis, deep learning capabilities, adaptive learning, and customizable scalable models, TimeGPT has proven to be an effective tool for more accurate predictive analysis. Integrating TimeGPT with MindsDB creates a powerful combination that enhances the precision and applicability of predictive insights directly within business databases. This gives you the agility to anticipate and react swiftly to a rapidly evolving global market. How would TimeGPT perform on your company’s data? Check out the . tutorial here Also published . here

How TimeGPT Transforms Predictive Analytics with AI

টাইমজিপিটি কীভাবে AI এর সাথে ভবিষ্যদ্বাণীমূলক বিশ্লেষণকে রূপান্তরিত করে

Wie TimeGPT Predictive Analytics mit KI transformiert

Cómo TimeGPT transforma el análisis predictivo con IA

Comment TimeGPT transforme l'analyse prédictive avec l'IA

TimeGPT कैसे AI के साथ पूर्वानुमानात्मक विश्लेषण को बदलता है

TimeGPT が AI を使用して予測分析をどのように変革するか

TimeGPT가 AI를 통해 예측 분석을 혁신하는 방법

Como o TimeGPT transforma a análise preditiva com IA

Как TimeGPT преобразует прогнозную аналитику с помощью ИИ

TimeGPT, Yapay Zeka ile Tahmine Dayalı Analitiği Nasıl Dönüştürüyor?

Cách TimeGPT biến đổi phân tích dự đoán bằng AI

TimeGPT 如何利用 AI 改变预测分析

Navigating New RWA Horizons: Rick Schmitz on Bridging Blockchain and Traditional Finance

I heard about AI-generated art for the first time in a Wall Street Journal podcast in 2021. In the podcast, the host was playing AI-generated pieces of classical music. These pieces emulated the style of classical composers, and the precision with which they did that was rather impressive. A listener uninitiated to classical music would probably have a hard time differentiating them from the actual works of those composers. This was also the first time I took seriously. Listening to those pieces made me wonder – what if AI gets so good at making music that those renowned composers eventually get buried under piles of AI-generated classical music? I have always believed in judging a work of art for what it is instead of finding its aesthetic validity in the legacy of a musician or how critics received a piece of music. If AI-generated music is going to get better, I will most likely say, Sorry, Chopin. generative AI (GenAI) Last week, a colleague showed me OpenAI Sora, a text-to-video model that generates remarkably detailed, realistic videos from text prompts. The first video they showcased on the website featured a woman (with five fingers, not four) walking through the streets of Tokyo. The texture of her skin, the blemishes and spots on her face, the wrinkles, and her hair – everything about this woman in focus is more realistic than (or at least, as much as) subjects in those videos that were once ‘really shot’ by professional videographers. Are we entering the era of the hyperreal? In his book Simulacra and Simulation, Jean Baudrillard first defined the concept of hyperreal as the blurring of the lines that separate reality from representation. This blurring is caused by the creation of representations (signs) that do not refer to anything that exists in reality. Hyperreality results in our inability to distinguish what is simulated from what is real. In his text, Baudrillard was alluding to the process by which value gets created in consumerist paradigms. But with GenAI, his idea is being stretched to its literal limits. On the OpenAI Sora page are over 30 video clips, each containing chunks of time that never happened, all in great detail, ready for us to witness with our eyes. What do we see when we see ‘historical footage of California during the gold rush’ generated by Sora? In truth, there is nothing historical about this footage, and neither is it footage in the true sense. The historical effect is rendered by employing visual aesthetics that elicit a sense of historicity in films and documentaries – warm tones, vintage overlay, grainy effects, and a lower frame rate. Yet, the prompt results in a very believable "footage." I am no historian, so I cannot say if the clip gets historical details right in how it renders the look of the buildings and the attire of the people on horses. But the geographical features look rather compelling. But this is not the crux of the issue here. Such visual effects have been achieved by studios using CGI for decades now. But these endeavors were applied to a specific end and within particular contexts – like creating a realistic game, a movie sequence, or making a documentary more tangible, if you will. The content was vetted by experts who could verify its correctness and authenticity. But now that this technology (text-to-video models) will democratize access to such capabilities, the consequences will be very different. Content will be affected by this democratization of GenAI long before it starts weaving symphonies that draw tears from our eyes or write Nobel-winning novels. A new distinction between content and art Content and art have coexisted ever since the advent of media – writing and painting, followed by print and photography, then audio and video. Content was usually short-lived and created for a specific function, such as entertaining, delivering news, capturing memories, recording events, or even selling things. Art served a purpose in the human being’s socio-cultural experience, and artworks survived well beyond their time. However, both content and art had to be created before GenAI entered the picture. higher Until now, art – or at least, what is deemed art in ‘high culture’ has remained largely untouched by GenAI capabilities. While GenAI may be able to emulate Mozart’s musical style, the aesthetic and cultural value of that style was rooted in the time and context in which Mozart was creating music. The same goes for literary works, which, in effect, created a paradigm shift in the ways of thinking about the world, human beings, society, and the small and big questions underpinning our existence during a period in history. The story of the content is somewhat different. Until some point in the 2000s, content creation required specialized apparatus – sophisticated video cameras or DSLRs and teams of people were needed to create audio-visual content, for example. But with social media and the proliferation of smartphones, content creation took a new turn. Everyone was now a creator, snipping pictures (or videos) of their dogs and cats doing funny stuff, creating video memes, or making comic faces with Instagram filters. Compilations of these snippets of human existence made their way to YouTube in droves, and content flooded depthless Instagram, Facebook, and TikTok feeds. Yet, few pieces of content warranted the need to question the reality of the subject of these videos. With the democratization of GenAI, we will find ourselves asking this question more often. In fact, while scrolling through the comments section of the Apple Airpods Pro 2 launch live stream in 2023, I found a user wondering whether the woman on screen, who was presenting the features of the new Airpods, was a real person. However, the industry is attempting to solve this problem with standards like the C2PA, which will embed details like the creator and mode of creation within media files. This will make it possible to differentiate AI-generated content from ‘real’ content. Nonetheless, AI-generated content will coexist with the content that is created by people. This will add another level of distinction between content and art – which is that art be created, but content be generated. must can The ability to generate content will undoubtedly have far-reaching economic consequences and leave a profound impact on many professions. But it will also alter our relationship with content and how it informs our worldview. The desert of the real? What if generated content is more compelling, more convincing, more entertaining, and more appealing to the viewer? Given how most societies today are inclined to promote value-creating systems, generated content will likely overtake content created by people in such a scenario – which means that content platforms will be saturated with AI-generated content that will show places that never existed, people who never walked on the planet, events that never occurred, or cute dog stuff that no real dog ever did. This is quite likely to happen – AI thought leader Nina Schick says 90% of online content could be AI-generated. But the proliferation of AI-generated content could go two ways. According to neuroscientists, knowing an artwork as authentic activates reward pathways in the brain of viewers. Forged or fake art, on the other hand, does not lead to the same effect. If this result is extrapolated to AI-generated content, one would be led to conclude that AI-generated content will not be as fulfilling as that which is created by real people recording real things – given that content platforms enforce rules that enable viewers to identify AI-generated content. Will AI-generated dog videos be as effective in reducing our stress levels as the of real dogs doing real things? If not, then the adoption of text-to-video models will be limited to certain areas, like making clips for purchasable stock video collections. Or generating elements of videos, like backgrounds or animated overlays. footage In this scenario, we will see the return of content that is created rather than generated – and social media platforms would be the first sites where this shift will unfold. But there is another factor that must be taken into account here. Research on Instagram usage patterns has shown that upward comparison (comparing oneself to those who people perceive as superior to them) through content consumption has detrimental effects on users' mental health. If AI-generated content breaks through the barriers of creative possibilities, it will present a version of the world that is to its real counterpart. If this happens, will AI-generated content immerse us in a hyperreal world, framing our existing one into a dull and dry reality? superior Probably not – at least not right away. Current text-to-video models still have limitations. For instance, the wolf pups in Sora-generated clips sometimes emerge out of nothing, and bodies sometimes magically pass through other bodies. In another clip, a plastic chair sometimes behaves like a sheet of paper and changes shape through the clip. OpenAI claims that giving the model foresight into multiple frames enables them to retain the visual identity of a subject even when it goes out of view for a few moments. But this doesn't make the model infallible, as is evident in the videos on OpenAI’s Sora page. Moreover, the generated clips are still only 60 seconds long, and it will probably be a while before we see full-length feature films and documentaries generated by such models. However, these limitations will likely be eliminated in upcoming generations of multimodal models – and soon enough, considering that the technology has been in development for a little over half a decade. When that time comes, the experience of consuming content or simply navigating through cyberspace will take a new turn. For the better or worse? Only time will tell. Looking towards a brighter future Generation and creation remain very distinct ideas, even in the era of GenAI. This distinction is rooted in the etymology of these words – create comes from the Latin , which means to form out of nothing. On the other hand, generate comes from the Latin (meaning to produce), which in turn comes from (meaning a type or a family). In both mathematics and linguistics, generation pertains to a process of applying a set of rules to an input to produce something. This is precisely what Generative Pre-Trained Transformers (GPTs) do. creare generō genus As far-fetched as the meaning of creation may seem in the era of content, GenAI is compelling us to exercise our higher cognitive abilities as it abstracts the heavy lifting of content generation from the creators. Creation, at its heart, remains a process of making something out of nothing. It is this idea of creation that has ushered era-defining epochs in the course of our cultural, social, and technological history. generated With GenAI solutions undertaking the less cognitive aspects of content creation, each of us will be empowered to create more sophisticated things, just better and faster. But where this paradigm of GenAI-augmented creation takes us will be determined collectively by content-powered platforms, regulators, content provenance standards and their endorsement, and our inevitable neurological responses to new forms of content.

Democratization of Text-to-video Models Will Launch Us Into a Hyperreal Cyberspace. Are We Ready?

Before making any investments, you should ensure to conduct your own thorough research and due diligence. Thanks to environmental awareness and innovative blockchain technology, the eTukTuk Coin (or $TUK) is well on its way to shining in the crypto space. The transport industry urgently needs an eco revolution. goal is to make transportation more environmentally friendly and efficient. eTukTuk's eTukTuk Price Development Forecast Predictions on the crypto market require a mix of market research, familiarity with technological developments, and a feel for the investors. Many people are interested in eTukTuk because of its unusual combination of environmental friendliness and blockchain technology. So this is what every eTukTuk outlook looks like, giving you relevant information: There is hope for eTukTuk by the end of the year. Demand for the $TUK token is predicted to surge due to popularity, exchange listings, and the release of the Driver App. These indicators suggest that a rise to $0.075 is possible by the end of the year. If you want to buy eTukTuk, you should invest specifically. End of 2024: The trend is expected to have maintained its pace until the middle of the decade. Potential drivers include eTukTuk's power staking, Layer 2 sidechain, and charitable efforts. As the number of EV charging stations grows, $TUK could see an uptrend and reach $0.17 by 2025. End of 2025: Ten years after beginning its adventure, eTukTuk hopes to have a larger share of the thriving global EV charging station market. As more people use eco-friendly products and more charging stations are built, eTukTuk's value could rise to an incredible $0.88 by 2030. End of 2030: This eTukTuk prediction can be strengthened by the platform's commitment to ESG aspects and by Binance's reliable blockchain security. eTukTuk Price History eTukTuk, often known as $TUK, has an interesting history behind it. At its starting price of $0.005, $TUK was hardly an issue in the vast crypto landscape. His lofty goals quickly eclipsed his humble beginnings. At the start of 2021, the currency received a major boost from growing demand for eco-friendly products and services. By mid-year, the price had risen to $0.03. eTukTuk has been strengthened through alliances with electric car manufacturers and involvement in green energy initiatives. The under the influence of major market movements. Investors were worried about the sharp drop in price to $0.015. However, this low point did not last forever. The rebirth began in 2022. The release of innovative utility features and smart collaborations contributed to the rise to $0.06. value of cryptocurrencies temporarily fell in 2021 However, this extraordinary growth was not entirely due to market hysteria. $TUK's practical value, based on long-term sustainability and technological advancement, distinguished it and underpinned its strong future prospects. $TUK Price History – Overview The story of eTukTuk ($TUK) is one of perseverance, adaptability, and hope for a green future. The Tokenized Utility Key ($TUK) was initially offered as a visionary cryptocurrency and quickly found favor in the green tech community and crypto fans. Although the coin was a relative newcomer to the market, its association with environmentally friendly transportation and innovative technological solutions gave it instant legitimacy and appeal. Its development was marked by a series of ups and downs, reflecting its response to external market events and internal strategic decisions. These are crucial aspects of eTukTuk Coin price development: Initial launch at $0.005, setting the base value. Mid-2021 peak at $0.03 catalyzed by green initiatives. Late 2021 plunged to $0.015, reflecting overall market turmoil. 2022 notable increase to $0.06, driven by useful features and strategic partnerships. Presale started 2023 Payment methods BNB, USDT, USD Chain Binance, BNB Hard cap 2,000,000,000 Min Invest Not specified Max Invest Not specified eTukTuk Price Prediction 2024 Even though volatility in the crypto space is extremely high, experienced analysts are often able to identify patterns and predict future directions. The coin is used for this volatility. eTukTuk The global trend towards environmentally friendly transportation is an important factor in the $TUK price. eTukTuk has a leg up on the competition because it shares the same purpose as the growing movement of governments around the world to advocate for more sustainable transportation. The rising popularity of eco-friendly transportation options could help the eTukTuk market development. Price increases could also be triggered by ongoing and planned partnerships between internet giants and sustainable transport providers. Thanks to the support of the dedicated community, $TUK could see significant growth. However, trading cryptocurrencies always carries risks. The development of $TUK in 2023 will undoubtedly be influenced by external market forces, regulatory frameworks, and technological developments. Investors should maintain a healthy balance between optimism and risk. To do this, everyone must follow both large and small market developments with great interest. eTukTuk Price Prediction 2025 Changes in regulation, new technologies, and industry dynamics are expected to have a major impact on the crypto industry through 2025. The $TUK prediction of the future value against this background is therefore an exciting matter. There are a few key factors to consider in our $TUK outlook: The global trend towards electrification is expected to increase interest in eco-friendly public transport such as eTukTuk. It could have a significant impact on the value of $TUK if electric TukTuks become mainstream in major cities around the world. Global trend towards electrification: As blockchain technology evolves and penetrates deeper into everyday services, currencies with concrete real-world uses could gain an advantage over purely speculative tokens. Mainstream adoption: The attitude of major nations towards cryptocurrencies will have a significant impact on the value of $TUK. While supportive policies can be a strong advantage, strict policies could be a hindrance. Regulatory environment: $TUK's market position could be strengthened through partnerships with industry leaders in transportation, technology, and energy. Innovative partnerships: eTukTuk Price Prediction 2030 Predicting the state of the crypto industry in 2030 requires a combination of data analysis and foresight as we look deeper into the future. The next seven years hold numerous opportunities and threats for eTukTuk Coin ($TUK). The $TUK forecast for 2030 can be summarized as follows: The need for environmentally friendly transportation options will increase dramatically as cities continue to grow. Due to their environmental friendliness and compact design, eTukTuks have the potential to become an integral part of city life. Sustainable urbanization: The combination of the Internet of Things (IoT), artificial intelligence (AI), and blockchain could create better eTukTuks or taxis that can find their way independently. They could function even without a driver and as mobile hubs for a variety of modern businesses. The $TUK token could eventually become more than just a monetary asset in this system. Tech synergy: The expansion of eTukTuks beyond their current hubs will have a major impact on their global footprint. The market potential for $TUK would skyrocket if they become a global trend. Global footprint: The stability in the crypto industry increases as it develops. The price of $TUK could be more stable and even rise in the future. Maturity of the market: Possible Price Developments of eTukTuk The future development of the coin will be influenced by both the national and local economies. Its compatibility with green transportation ensures that it will be relevant during green innovations. eTukTuk The cost of eTukTuks is heavily influenced by factors such as market acceptance, regulatory climate, technological advancements, and global growth. Despite the high growth potential, investors should be aware of the risks due to the volatility inherent in the crypto market. Investors need to analyze trends, become familiar with the market, and stay abreast of developments. Year Possible high Possible low 2024 $0.02 $0.075 2025 $0.08 $0.17 2030 $0.3 $0.88 What Is eTukTuk? There is more to eTukTuk ($TUK) than you would expect in the world of cryptocurrencies. It is the economic backbone of the eTukTuk ecosystem and has its origins in the idea of ​​sustainable and environmentally friendly transport. Traditional TukTuks, which are three-wheeled motorized vehicles popular in certain Asian countries, are now electric. The $TUK Coin aims to be at the forefront of this movement by providing an advantage for switching from gasoline-powered to eTukTuks. The value of the coin lies in the fact that it connects different systems, including those of technology, ecology, and transportation. The eTukTuk Coin is a hub for sustainable transportation because it combines the decentralized nature of blockchain with a focus on the environment. The potential reach and impact of $TUK could expand significantly as more areas realize the environmental and economic benefits of eTukTuk. This also increases its value and popularity in the crypto world. Factors That Influence the $TUK Price Several variables influence the $TUK price. The most important factor is the pace of eTukTuk adoption, as increased demand can increase the importance of $TUK. Both the cryptocurrency environment and the regulation of electric cars can have a positive or negative impact on the price. $TUK price performance is very sensitive to macroeconomic factors and investor sentiment in the larger crypto market. Finally, developments in eTukTuk's technological infrastructure and collaborations can help or hurt the company's reputation in the market. Planned CEX/DEX Listing Listing on major centralized exchanges (CEX) and decentralized exchanges (DEX) is the first step in eTukTuk's main goal. The aim of this campaign is to increase eTukTuk's liquidity and make the currency accessible to a wider range of investors. Listing on CEX allows the company to reach a community of investors who value an old-school exchange layout with modern safeguards. A listing on the DEX, on the other hand, is in line with the spirit of decentralization as it enables transactions between individual users. These planned listings demonstrate not only eTukTuk's ambition but also its commitment to providing a stable trading environment to its user base. Tokenomics What sets apart from similar crypto coins is its . The supply, distribution, and utility of the $TUK token are determined by tokenomics, which is based on a well-structured and thoughtful design. Some basic features are: eTukTuk tokenomics eTukTuk's overall production is regulated to guarantee scarcity and stimulate demand, protecting the market from inflation and oversaturation. Limited supply: As an additional reward for long-term holding, holders can enjoy staking rewards or bonuses. Reward mechanism: The value of the coin goes beyond its intrinsic value as it can be exchanged for goods and services. Useful value: The token supply can be reduced over time through a “burn mechanism” in which the tokens are destroyed at regular intervals. This strategy aims to achieve a deflationary effect. Burn mechanism: Demand Through Social Media Signals It is impossible to overstate the importance of social media in today's crypto markets. eTukTuk's popularity can be attributed in large part to the discussions and attention it has received on various social media sites. Here are a few key points to remember: Well-known members of the crypto community can catapult $TUK into the spotlight and attract a large number of new investors with just one tweet. Influencer endorsement: Vibrant online communities, such as those found on social media sites like Twitter, Reddit, and Telegram, can boost word-of-mouth marketing. Community engagement: Participation in a trending hashtag or topic can increase awareness, which can lead to a price increase. Trending topics: Memes, movies, and other forms of viral material can serve as catalysts and increase buying pressure in the $TUK market. Viral content: Is eTukTuk the Best Cryptocurrency in 2024? The “best” coin in the volatile crypto market of 2024 will be determined by a number of variables. eTukTuk's performance, features, and community support have all garnered positive attention and indicate the coin's potential. Here is a quick overview: Given its strong growth, $TUK is a strong candidate for excellent results. Performance: Unlike purely speculative tokens, it has practical use and is relevant in the transportation industry. Usefulness: $TUK has a large and active community, which bodes well for the future of the coin. Community: $TUK does not rest on its laurels, but is constantly innovating, as the announced innovations and partnerships show. Innovation: However, potential investors should conduct their own due diligence and not rely solely on market performance before making any financial commitments. How to Buy $TUK – Guide Buying new coins can be an exciting adventure, but it can seem complicated to beginners. Below is a detailed guide on how to buy $TUK: Step 1: Choose your wallet Before you buy $TUK, you should get a wallet. To store and manage your cryptocurrency, you can use one of these two wallets: Software Wallets: These wallets can be installed on different devices. They are easier to use in most cases. Hardware Wallets: Hardware wallets provide additional protection for storing cryptocurrencies outside of the cloud. Step 2: Choose an Exchange The $TUK token can be traded on a number of exchanges. Make sure you choose a trustworthy exchange: Verification: For security reasons, most services require proof of identification before granting access. Security: Protect your data by always using two-factor authentication. Step 3: Fund Your Account After you sign up, you can fund your Exchange account with fiat currency or other cryptocurrencies: Bank Transfer: Direct bank transfers are an option on some exchanges. Credit/Debit Card: Credit/debit cards are a faster, but sometimes more expensive, payment method. Step 4: Buy $TUK Now, all you need to do is buy $TUK. How to secure your coins in just two steps: Go to $TUK in the market section. Choose the amount you want to purchase and complete the deal. Step 5: Keep the Money in Your Wallet It is strongly recommended that you remove your $TUK from the exchange, and store it in a separate wallet of your choice. That’s how it works: To start the transfer, enter the recipient address of your wallet. Double-check addresses before making a transaction. If you follow these instructions, getting $TUK shouldn't be too difficult. Always put security first and review any new services or platforms you plan to use. Conclusion Many members of the crypto community are fascinated by . There has been much talk about its development potential, fueled by its unique branding coupled with its widespread mode of transportation. eTukTuk ($TUK) The volatility of the market makes it difficult to predict the exact future of a cryptocurrency, but $TUK has some intriguing features that could contribute to its success. The development of the coin is heavily influenced by external forces and market trends as well as the unique features of the currency. Anyone who wants to make a $TUK investment or learn more about it should do their research to avoid making hasty judgments. Disclaimer: This article should not be taken as investment advice. Since cryptocurrency is a highly volatile investment product, please conduct your own research before investing.

Price Projections for eTukTuk ($TUK): An In-depth Analysis of Market Development

eTukTuk ($TUK) এর জন্য মূল্য অনুমান: বাজার উন্নয়নের একটি গভীর বিশ্লেষণ

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Ever wondered how a data warehouse transforms from a concept to a cornerstone of business intelligence? 🌟 Imagine a data warehouse as a vast library, each book brimming with stories (data) waiting to be told. But how does this library come to be? It's not just about stacking books on shelves; it's an art, a science, and a journey. And who's our librarian in this tale? The ! They're the masterminds weaving together technology, strategy, and data to create a repository that not only stores information but makes it meaningful. Data Architect So, grab your hard hats and blueprint rolls! We're about to embark on the fascinating journey of building a data warehouse, guided by our adept Data Architect. Understanding the Need for a Data Warehouse A data warehouse, optimized for , is a centralized repository for structured and processed data. OLAP (Online Analytical Processing) Unlike traditional systems, it's designed for efficient querying and reporting. The use of in data warehouses allows for quicker data retrieval, especially beneficial for analytical queries. OLTP (Online Transaction Processing) columnar storage This analytical powerhouse differs from , which store raw, unstructured data, and approaches that handle large data volumes but may not optimize specific analytical queries. data lakes big data In essence, a data warehouse is not just a storage unit but a sophisticated tool for advanced analytics and reporting aiding in generating business intelligence. Dreaming and Designing Picture an architect dreaming up a grand building. That's our Data Architect, envisioning the data warehouse. It's not just a wild dream; it's a meticulously planned one, understanding the business needs, data sources, and end goals. Here, the architect might consider using a , an approach to database design that allows for intricate and multifaceted data relationships. This schema, resembling a snowflake's structure, is known for its normalization, which reduces data redundancy and improves efficiency. snowflake schema Laying the Foundations Every great building needs a solid foundation, and so does a data warehouse. This phase involves choosing the right infrastructure, which can vary significantly depending on specific needs. There are various data warehouse products available in the market, each with its unique features. On-premise data warehouses have been the traditional choice, offering control and customization. However, the rise of cloud data warehousing has brought about a shift, favoring flexibility and scalability. Cloud data warehouses like , , and offer various degrees of these services, allowing businesses to select the one that aligns best with their objectives. Amazon Redshift Google BigQuery Snowflake Most cloud providers lay out the fundamental architecture, making it easier for businesses to implement and scale their data warehouses efficiently. Our Data Architect collaborates with IT teams and , selecting the right tools and technologies. Database Engineers They're like the builders and engineers, ensuring our library is robust and weatherproof. Structuring the Warehouse Structuring the warehouse's structure is a pivotal phase. Here, the and determine the most efficient and accessible way to organize data. Often, they employ the snowflake schema, an advanced data model known for its detailed normalization. Data Architect Data Modelers In the snowflake schema, data is segmented into fact tables and dimension tables. Let’s take an example of a retail giant called 'Y', the structure could include: These tables contain quantifiable data about business events. In a retail context, this might include a 'Sales' table, capturing every sales transaction. Key metrics such as sales amount, quantity sold, and transaction timestamps would be stored here. Fact Tables: These tables provide the context for facts. For our retail company 'Y', dimension tables could include: Dimension Tables: Customer: Stores customer data like name, address, and contact information. Product: Details about products, such as product ID, name, category, and price. Store: Information on store locations, including store ID, address, and region. In the snowflake schema, dimension tables are normalized, meaning related data is further broken down into additional tables. For instance, the 'Product' might link to a 'Product Category,' providing more detailed categorization. This design allows for efficient data processing and complex querying. The separation of facts and dimensions, coupled with the detailed breakdown in the snowflake schema, supports a wide range of analytical capabilities from basic sales tracking to in-depth customer behavior analysis. Populating With Data Populating a data warehouse involves several critical steps to ensure that the data is not only accurately captured but also effectively usable for analysis. Define the Data Sources The first step involves identifying and defining all the data sources that will feed into the warehouse. This includes a variety of sources, such as internal systems like CRM and ERP, external data from market research, social media, and more. Understanding the nature, format, and quality of data from these sources is crucial for effective integration. Design the Data Model Once the data sources are identified, the next step is designing the data model. This step serves as the blueprint for how data is stored, accessed, and related within the warehouse. Configure the ETL or ELT Jobs With the data sources defined and the data model designed, the focus shifts to configuring the (Extract, Transform, Load) or (Extract, Load, Transform) jobs. ETL ELT Monitor the Data Quality The final step is the continuous monitoring of data quality after it is populated into the warehouse. This step ensures data accuracy, consistency, and integrity. Regular audits, data validation processes, and error-checking mechanisms are integral to maintaining the high quality of data in the warehouse. Various tools can assist in these steps. For ETL and ELT, popular tools like and ) can be employed. Additionally, data quality monitoring tools and software can help in maintaining the integrity of the data warehouse. Informatica PowerCenter, Talend, Apache NiFi, Microsoft SQL Server Integration Services (SSIS Testing the Integrity Before opening the doors, we need to ensure everything is in order. This is where rigorous testing comes in. Data Quality Analysts and QA Engineers scrutinize every corner of the warehouse, checking for data accuracy, performance issues, and security vulnerabilities. It's like a pre-opening inspection of our library, making sure every book is in place and the cataloging system works flawlessly. They'll sift through each test case, marking them as a pass or a fail. Any hiccups? Back to the kitchen (the development team) for tweaks. Once the final nod of approval comes from the stakeholders, it's a go-go for the final development. This testing phase is critical to ensure that the data warehouse not only meets the functional requirements but also adheres to the highest standards of data quality and security. Launching the Warehouse With a green light from testing, it's time for the grand opening. The data warehouse goes live, ready to serve its purpose. Key to this phase is establishing secure and appropriate access for different users: for general users who need to view and analyze data. Read-Only Access: for specialized roles that require modification privileges. Read-Write Access: for Data Administrators managing the warehouse. Administrative Access: Access is provisioned through Role-Based Access Control (RBAC), ensuring users have permissions tailored to their role. Strong authentication methods and regular audits of access privileges are crucial for maintaining security and efficiency as the warehouse goes live. Continuous Improvement and Maintenance A great library evolves with time, and so does a data warehouse. The Data Architect, along with the support team, monitors the warehouse, ensuring it adapts to changing business needs, data volumes, and technological advancements. They're continually optimizing, updating, and maintaining the warehouse, much like a librarian acquiring new books and preserving old ones. Wrapping It Up And there you have it, the lifecycle of a data warehouse, from a mere concept to a fully functional and evolving repository of knowledge. It's a testament to the skill, collaboration, and foresight of the Data Architect and their team, ensuring that the data warehouse not only stores data but turns it into a treasure trove of insights. So, next time you query a data warehouse, remember, it's not just a technology; it's a carefully crafted masterpiece, a library of data, built to enlighten and empower. 🚀✨

The Lifecycle of a Data Warehouse

FORESIGHT WORKS

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FORESIGHT WORKS

foresight.works

11-50 employees

Since 2018

COMPANY RANKING

FORESIGHT WORKS

EVERGREEN INDEX #4989

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