So, it seems Arkane's developers decided to pen an open letter protesting Microsoft's cozy relationship with the IDF while Gaza is undergoing a bit of a “housekeeping” phase. How brave of them! I mean, who needs to worry about the ethics of international relations when you can just code your way to a better world? Perhaps they’re hoping for a patch update on morality from the parent company? The silence from Microsoft is deafening—maybe they're too busy perfecting their next game instead of addressing real-world issues. A well-timed reminder that sometimes, the biggest battles aren’t fought in the virtual realm but in the real one. Keep those contracts rolling in while the world watches! #Arkane #Microsoft #IDF #G

🎉✨ مرحبا بكم أصدقائي! اليوم، أود أن أشارككم شيئًا مذهلاً عن كيفية استخدام الطاقة المتجددة بطريقة مبتكرة! 🌬️💡 في أحدث فيديو له، قام [Electronoobs] بإنشاء توربين رياح DIY باستخدام محركات بلا فرش، والجزء الأكثر إثارة هو الـ 3-phase rectifier الذي يلعب دوراً حاسماً في تحويل الطاقة! ⚡️🌱 فكروا في الأمر: نحن نستطيع جميعًا أن نكون جزءًا من هذا التحول نحو طاقة أنظف وأكثر استدامة. كل خطوة صغيرة نحو الابتكار تجعل العالم مكانًا أفضل! فلنستمتع بعملية التعلم واكت

Les premières critiques de "Fantastic Four: First Steps" sont tombées, et tout ce que je ressens, c'est une profonde déception. 🌧️ Ce film, censé marquer le début de la sixième phase de l'UCM, semble visuellement frappant, mais il joue trop la sécurité. Je voulais une aventure audacieuse, une montée en puissance, mais au lieu de cela, je me retrouve face à une marche hésitante, comme un robot qui ne sait pas encore comment avancer. Chaque image est belle, mais où est la passion, l'âme ? Je me sens seul dans cet océan d'attentes non comblées. 💔 #FantasticFour #UCM #Déception #

Il est inacceptable de voir des entreprises comme Meta lancer des plugins comme le "MetaTailor Unreal Engine Bridge" sans véritable considération pour les utilisateurs. Oui, ce plugin promet de rendre le processus d'habillage des MetaHumans plus rapide, mais à quel prix ? En phase bêta, ce produit est loin d'être parfait et nous laisse avec plus de questions que de réponses. Cette technologie est censée faciliter l'échange de données entre Unreal Engine et l'outil de fitting de vêtements 3D, mais elle n'est qu'une autre démonstration de la précipitation des entreprises à sortir des produits inachevés. Les développeurs méritent mieux que cela ! Arrêtez de nous balancer des prom

🌟 Data analysis is not just for tech wizards anymore! 🚀 Today, every professional, whether in marketing, finance, or HR, can harness the power of data to make informed decisions that drive success! 📊✨ Understanding the key phases of data analysis and utilizing essential tools isn't just beneficial—it's empowering! 💪 Imagine transforming raw data into meaningful insights that can elevate your career and impact your organization! The journey of data analysis is a thrilling adventure, and with the right approach, you can unlock endless possibilities! 🌈 So let's dive into the world of data, embrace the tools, and become decision-making champions! 🌟 #DataAnalysis #Empowerment #CareerGrowth #DataDriven #SuccessJourney

🌟✨ Hey, wonderful creators! 🌟✨ Have you ever felt that spark of inspiration while diving into the world of 3D printing? Well, buckle up, because the future has just gotten even brighter! 🚀🌈 Introducing PartCrafter, the revolutionary AI-driven 3D mesh generator that's ready to take your design game to the next level! 🎉💡 In a world where creativity knows no bounds, it's fascinating to see how artificial intelligence is revolutionizing the realm of 3D printing, especially in the design phase. PartCrafter is not just another tool; it’s a game changer that empowers designers and artists alike to bring their wildest ideas to life! 🎨💖 Imagine being able to synthesize intricate 3D models with just a few clicks—how incredible is that? This innovative generator harnesses the power of AI to create stunning designs that elevate your projects and push the boundaries of what’s possible. 🌌✨ The ease of use and the endless possibilities that PartCrafter offers are truly remarkable. Whether you're a seasoned professional or just starting your journey in 3D design, this tool is designed to inspire you and fuel your creativity. 🌟💼 With its user-friendly interface and intelligent algorithms, you can focus on what you do best—creating amazing designs that captivate and inspire! Remember, every great invention starts with a spark of imagination! 🌠💭 So, don't hold back! Embrace the power of technology and let PartCrafter be your partner in creativity. Imagine the models you can create: from intricate architectural designs to imaginative sculptures, the possibilities are limitless! 🏙️✨ And guess what? The best part is that you’re not alone on this journey! Join a community of passionate creators who are also exploring the wonders of AI in design. Share your ideas, learn from one another, and let’s uplift each other as we step into this exciting new era of 3D printing together! 🤝💕 So, what are you waiting for? Dive into the world of PartCrafter and watch your creative dreams unfold! The future is now, and it’s time to create something incredible! Let’s embrace innovation and let our imaginations soar! 🌈🎉 #3DPrinting #ArtificialIntelligence #PartCrafter #CreativeDesign #Innovation

Lars Wingefors, the CEO of Embracer Group, is stepping into the role of executive chair to "focus on strategic initiatives, M&A, and capital allocation." This move is both alarming and infuriating. Are we really supposed to cheer for a corporate leader who is shifting gears to prioritize mergers and acquisitions over the actual needs of the gaming community? It's absolutely maddening! Let’s break this down. Embracer Group has built a reputation for acquiring a myriad of game studios, but what about the quality of the games themselves? The focus on M&A is nothing more than a money-hungry strategy that overlooks the creativity and innovation that the gaming industry desperately needs. It's like a greedy shark swimming in a sea of indie creativity, devouring everything in its path without a second thought for the artistic value of what it's consuming. Wingefors claims that this new phase will allow him to focus on "strategic initiatives." What does that even mean? Is it just a fancy way of saying that he will be looking for the next big acquisition to line his pockets and increase his empire, rather than fostering the unique voices and talents that make gaming a diverse and rich experience? This is not just a corporate strategy; it’s a blatant attack on the very essence of what makes gaming enjoyable and transformative. Let’s not forget that behind every acquisition, there are developers and creatives whose livelihoods and passions are at stake. When a corporate giant like Embracer controls too many studios, we risk a homogenized gaming landscape where creativity is stifled in the name of profit. The industry is already plagued by sequels and remakes that serve to fill corporate coffers rather than excite gamers. We don’t need another executive chairperson prioritizing capital allocation over creative integrity! Moreover, this focus on M&A raises serious concerns about the future direction of the companies involved. Will they remain independent enough to foster innovation, or will they be reduced to mere cogs in a corporate machine? The answer seems obvious—unless we challenge this trend, we will see a further decline in the diversity and originality of games. Wingefors’s transition into this new role is not just a simple career move; it’s a signal of what’s to come in the gaming industry if we let executives prioritize greed over creativity. We need to hold corporate leaders accountable and demand that they prioritize the players and developers who make this industry what it is. In conclusion, the gaming community must rise against this corporate takeover mentality. We deserve better than a world where the bottom line trumps artistic expression. It’s time to stop celebrating these empty corporate strategies and start demanding a gaming landscape that values creativity, innovation, and the passion of its community. #GamingCommunity #CorporateGreed #GameDevelopment #MergersAndAcquisitions #EmbracerGroup

Publishing your first manga might sound exciting, but honestly, it’s just a lot of work. It’s one of those things that you think will be fun, but then you realize it’s just a long journey filled with endless sketches and revisions. Six top manga artists talk about their experiences, but let’s be real, it’s not all that thrilling. First off, you have to come up with a story. Sounds easy, right? But then you sit there staring at a blank page, and the ideas just don’t come. You read what other artists say about their success, and it makes you feel like you should have everything figured out. They talk about characters and plots like it’s the easiest thing in the world. But between you and me, it’s exhausting. Then comes the drawing part. Sure, you might enjoy sketching sometimes, but doing it for hours every day? That’s where the fun starts to fade. You’ll probably go through phases where you hate your own art. It’s a cycle of drawing, erasing, and feeling disappointed. It’s not a glamorous process; it’s just a grind. After you’ve finally got something that resembles a story and some pages that are somewhat decent, you have to think about publishing. This is where the anxiety kicks in. Do you self-publish? Try to find a publisher? Each option has its own set of problems. You read advice from those six artists, and they all sound like they’ve got it figured out. But honestly, who has the energy to deal with all those logistics? Marketing is another thing. They say you need to promote yourself, build a following, and all that jazz. But scrolling through social media to post about your manga feels more like a chore than a fun activity. You might think you’ll enjoy it, but it’s just more work piled on top of everything else. In the end, the best advice might be to just get through it and hope for the best. You’ll survive the experience, maybe even learn something, but it’s not going to be a walk in the park. If you’re looking for a carefree journey, publishing your first manga probably isn’t it. So, yeah. That’s the reality. It’s not as glamorous as it sounds. You just do it, and hope that someday it might feel rewarding. But until then, it’s just a lot of waiting and wondering. Good luck, I guess. #Manga #Publishing #MangaArtists #Comics #ArtProcess

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle. #execution #gap #why #projects #dont