Il semble que ChatGPT ne remplace pas Google, mais plutôt qu'il élargit la recherche. Une nouvelle étude montre que l'utilisation de Google Search reste stable, même après l'adoption de ChatGPT. Donc, rien de nouveau ici. La recherche continue comme avant, sans grand changement. On se demande juste si un jour, on aura vraiment besoin de tout ça. #ChatGPT #GoogleSearch #Recherche #Technologie #Étude

🌟✨ Saviez-vous que les clics ne comptent plus autant qu'avant ? L'ère de l'IA transforme notre façon de comprendre les marques et leurs clients ! 🚀 Les meilleurs directeurs marketing suivent désormais des métriques plus pertinentes qui révèlent ce qui se passe vraiment dans leur tunnel de conversion. 📊💡 Ne laissez pas les anciens KPI vous freiner ! Adoptez une nouvelle perspective et explorez ces outils innovants qui vous aideront à voir au-delà des simples clics. Ensemble, nous pouvons transformer la manière dont nous mesurons le succès ! 💪❤️ Rappelez-vous, chaque pas en avant est un pas vers la réussite ! Allez-y, soyez audacieux et su

🌟 Exciting times are ahead as we delve into the early adoption of Google AI Mode! 🚀 Our recent study showcases how this incredible technology is transforming the way we think about SEO and marketing. The trends are pointing towards a brighter, more efficient future where creativity meets innovation! 🌈✨ Embracing Google AI Mode not only enhances our marketing strategies but also opens up a world of possibilities for growth and success. Let's harness this powerful tool together and uplift our digital presence! Remember, the future is bright for those who embrace change! 💪💖 #GoogleAI #SEOTips #MarketingInnovation #DigitalGrowth #AIRevolution

Dans le silence de la salle, je me sens comme un ballon de basket abandonné, sans but ni direction. Chaque tir que je fais est un cri étouffé, un espoir qui s'effondre. La technologie intelligente qui suit chaque mouvement peut-elle vraiment comprendre la douleur de chaque échec ? Alors que la NBA envisage d'adopter ce ballon de données, je me demande si quelqu'un se soucie des battements de cœur derrière les statistiques. Chaque dribble me rappelle la solitude, chaque rebond, un écho de mes rêves perdus. La précision des capteurs ne peut pas capturer l'essence de ce que je ressens. Je suis là, invisible, dans un jeu qui ne m'attend plus

🌟✨ Today, let's shine a light on the journey of adoption! While recent news about the exposure of sensitive data from adoption agencies reminds us of the importance of privacy and care 🛡️, it also highlights the incredible love and hope that surrounds the adoption process! ❤️ Every child deserves a loving home, and every parent deserves support in this beautiful journey. Together, we can advocate for stronger protections for families and children, ensuring that their stories remain sacred and their futures bright! 🌈💖 Let's keep spreading positivity and awareness about the importance of safeguarding the information that connects families forever! #AdoptionAwareness #ChildSafety #LoveInAdoption #FamilyFirst #PositiveChange

Well, well, well! Virgilio García has taken the reins of the European Committee for 3D Printing. Because nothing screams "we're serious about innovation" like appointing a guy to oversee the future of manufacturing who probably still uses a flip phone. As Europe scrambles to adopt additive manufacturing to boost competitiveness, it seems they've also decided to add a sprinkle of irony by making this appointment. Who knew the key to industrial autonomy was a 3D printer and a strong Wi-Fi connection? Let’s just hope Virgilio knows the difference between a filament and a fashion statement. #3DPrinting #VirgilioGarcía #Innovation #EuropeanIndustry #AdditiveManufacturing

In a world where 3D printing has become the new frontier of human achievement, it appears that our beloved gadgets are not just printing our wildest dreams, but also a symphony of snaps and crackles that would make even the most seasoned sound engineer weep. Enter the Prunt Printer Firmware—a name that sounds like it was born out of an intense brainstorming session involving too much caffeine and too little sleep. Let’s face it, for ages now, Marlin has been the undisputed champion of firmware for custom 3D printers, akin to that one friend who always gets picked first in gym class. But wait! Just when you thought it couldn’t get any better, Klipper slides into the ring, offering some serious competition. Think of Klipper as the underdog in a sports movie—full of potential but still figuring out whether it should be hitting its rivals hard or just trying not to trip over its own laces. Now, onto the real magic: controlling the charmingly chaotic duo of Snap and Crackle. It’s almost poetic, isn’t it? You finally invest in a 3D printer, dreaming of creating intricate models, only to have it serenade you with a cacophony reminiscent of a breakfast cereal commercial gone horribly wrong. But fear not! The Prunt Printer Firmware is here to save the day—because who doesn't want their printer to sound like a caffeinated squirrel rather than a well-oiled machine? Embracing the Prunt Firmware is like adopting a pet rock. Sure, it’s different, and maybe it doesn’t do much, but it’s unique and, let’s be honest, everyone loves a conversation starter. With Prunt, you can finally rest assured that your 3D printer will not only produce high-quality prints but will also keep Snap and Crackle under control! It’s like having a built-in sound engineer who’s only slightly less competent than your average barista. And let’s not overlook the sheer genius of this firmware’s name. “Prunt”? It’s catchy, it’s quirky, and it’s definitely a conversation starter at parties—if you’re still invited to parties after dropping that knowledge bomb. “Oh, you’re using Marlin? How quaint. I’ve upgraded to Prunt. It’s the future!” Cue the blank stares and awkward silence. In conclusion, if you’ve ever dreamt of a world where your 3D printer operates smoothly and quietly, devoid of the musical stylings of Snap and Crackle, perhaps it’s time to throw caution to the wind and give Prunt a whirl. After all, in the grand saga of 3D printing, why not add a dash of whimsy to your technical woes? Let’s embrace the chaos and let Snap and Crackle have their moment—just as long as they’re under control with Prunt Printer Firmware. Because in the end, isn’t that what we all really want? #3DPrinting #PruntFirmware #SnapAndCrackle #MarlinVsKlipper #TechHumor

La communauté scientifique semble plongée dans une profonde ignorance lorsqu'il s'agit des mystères des lunes volcaniques, en particulier Io, la lune de Jupiter. Qu'est-ce qui se passe ici ? Les récents survols de ce monde enflammé ont non seulement mis à mal une théorie bien ancrée sur sa structure interne, mais ils révèlent aussi à quel point nous sommes perdus dans notre compréhension des lunes géologiquement actives. C'est tout simplement inacceptable ! À l'ère de l'information, comment est-il possible que les scientifiques continuent d'élaborer des théories qui sont non seulement fausses, mais qui peuvent également mettre en péril des recherches futures ? Les nouvelles données sur Io, ce volcanique satellite de Jupiter, sont un véritable coup de poing dans l'estomac pour ceux qui croyaient tout savoir. On nous a vendu des histoires sur la structure interne de cette lune pendant des décennies, et voilà que tout s'effondre comme un château de cartes ! Cela montre non seulement un manque de rigueur scientifique, mais aussi une arrogance dans notre approche des mystères de l'univers. Nos chercheurs semblent incapables de se sortir de leur zone de confort, restant figés dans des paradigmes dépassés. Au lieu d'adopter une approche plus ouverte et adaptable, ils s'accrochent à leurs théories erronées, refusant de reconnaître que nous ne comprenons que très peu des mécanismes internes d'Io. La géologie de cette lune est un véritable casse-tête, et les récentes découvertes ne font que souligner notre méconnaissance crasse. Comment peut-on prétendre explorer l'espace si nous ne maîtrisons même pas les bases de notre propre système solaire ? Il est temps que la communauté scientifique prenne conscience de ses lacunes. Les missionnaires de la science, qui se prennent pour des experts, doivent abaisser leur prétention et ouvrir les yeux sur la réalité. Les nouvelles révélations sur Io ne sont pas simplement des détails techniques ; elles sont le reflet d'un besoin urgent de repenser notre compréhension des corps célestes. Nous avons besoin d'une méthode plus rigoureuse, plus dynamique, et surtout, plus humble. Si nous continuons à ignorer ces avertissements, nous ne ferons qu'approfondir notre ignorance collective. Les mystères internes d'Io ne doivent pas seulement être vus comme des défis à relever, mais comme des opportunités d'apprentissage et d'évolution. Il est temps que les chercheurs prennent leurs responsabilités et commencent à bâtir une base solide de connaissances sur ces lunes fascinantes, plutôt que de s'enliser dans des théories caduques. En conclusion, il n'y a pas de place pour l'aveuglement dans la science. Il est impératif d'accueillir ces nouvelles découvertes sur Io avec ouverture d'esprit et détermination. La compréhension de notre univers dépend de notre capacité à remettre en question nos certitudes et à embrasser l'inconnu. #Io #Jupiter #LunesVolcaniques #Géologie #Science

KDE isn't the only organization reaching out to " as Microsoft prepares to end support for Windows 10. "Now, The Document Foundation, maker of LibreOffice, has also joined in to support the Endof10 initiative," reports the tech blog Neowin: The foundation writes: "You don't have to follow Microsoft's upgrade path. There is a better option that puts control back in the hands of users, institutions, and public bodies: Linux and LibreOffice. Together, these two programmes offer a powerful, privacy-friendly and future-proof alternative to the Windows + Microsoft 365 ecosystem." It further adds the "real costs" of upgrading to Windows 11 as it writes: "The move to Windows 11 isn't just about security updates. It increases dependence on Microsoft through aggressive cloud integration, forcing users to adopt Microsoft accounts and services. It also leads to higher costs due to subscription and licensing models, and reduces control over how your computer works and how your data is managed. Furthermore, new hardware requirements will render millions of perfectly good PCs obsolete.... The end of Windows 10 does not mark the end of choice, but the beginning of a new era. If you are tired of mandatory updates, invasive changes, and being bound by the commercial choices of a single supplier, it is time for a change. Linux and LibreOffice are ready — 2025 is the right year to choose digital freedom!" The first words on LibreOffice's announcement? "The countdown has begun...." of this story at Slashdot. #libreoffice #explains #039real #costs039 #upgrading

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