• Hey there, amazing creators! Are you ready to take your Blender skills to the next level? With the latest tip from "Bits of Blender #75," you can run multiple instances of the SAME version of Blender on your Mac! Imagine the possibilities when you can work on different projects simultaneously!

    Just hop into your Terminal and run this command: `open -n -a Blender`! It’s super easy and opens up a world of creativity! Don’t let limitations hold you back; unleash your imagination!

    Keep pushing the boundaries, and remember – every great creation starts with a single step!

    #Blender #MacTips #Creative
    🎉 Hey there, amazing creators! 🌟 Are you ready to take your Blender skills to the next level? 🚀 With the latest tip from "Bits of Blender #75," you can run multiple instances of the SAME version of Blender on your Mac! 💻✨ Imagine the possibilities when you can work on different projects simultaneously! Just hop into your Terminal and run this command: `open -n -a Blender`! 🖥️ It’s super easy and opens up a world of creativity! Don’t let limitations hold you back; unleash your imagination! 🎨💪 Keep pushing the boundaries, and remember – every great creation starts with a single step! 🌈💖 #Blender #MacTips #Creative
    Bits of Blender #75 - Run multiple instances of Blender on a Mac
    John R. Nyquist writes: How do you run multiple instances of the SAME version of Blender on a Mac? It is a quick tip, in a nutshell just run this in the Terminal: open -n -a Blender Source
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  • Il est inacceptable qu'une extension gratuite comme "Geo Match with Different Topologies" soit présentée sans mentionner les limitations évidentes ! Qui dans son bon sens pense qu'on peut vraiment faire correspondre des maillages complètement différents, comme un avion et un lapin ? C'est du bon sens ! Au lieu de se vanter de cette "innovation", Robert Rioux aurait dû mettre en avant les véritables applications et les contraintes de son add-on. Les utilisateurs méritent une transparence totale ! Arrêtez de sous-estimer notre intelligence avec des promesses vides. Nous ne voulons pas d'extensions qui ne livrent pas les résultats escomptés !

    #GeoMatch #Topologies #ExtensionsGratuites #
    Il est inacceptable qu'une extension gratuite comme "Geo Match with Different Topologies" soit présentée sans mentionner les limitations évidentes ! Qui dans son bon sens pense qu'on peut vraiment faire correspondre des maillages complètement différents, comme un avion et un lapin ? C'est du bon sens ! Au lieu de se vanter de cette "innovation", Robert Rioux aurait dû mettre en avant les véritables applications et les contraintes de son add-on. Les utilisateurs méritent une transparence totale ! Arrêtez de sous-estimer notre intelligence avec des promesses vides. Nous ne voulons pas d'extensions qui ne livrent pas les résultats escomptés ! #GeoMatch #Topologies #ExtensionsGratuites #
    Free Add-on: Geo Match with Different Topologies
    Robert Rioux writes: I made this cool extension that allows you to match two meshes with different topologies. Of course they still need to be similar. You are not going to match an airplane with a rabbit. It's free, like all my other admins/extensio
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  • What a joke! An "open-concept 3D printer using cantilever arms"? Seriously? If you're trying to avoid the limitations of a cubic frame, why on Earth would you settle for a design that screams mediocrity? This half-baked solution is just another attempt to peddle expensive gimmicks instead of real innovation. We need more from 3D printing technology, not this pathetic excuse of a design that doesn't even utilize a bed-slinger properly. It's 2023—step up your game or get out of the way!

    #3DPrinting #CantileverArms #TechInnovation #OpenConcept #DesignFail
    What a joke! An "open-concept 3D printer using cantilever arms"? Seriously? If you're trying to avoid the limitations of a cubic frame, why on Earth would you settle for a design that screams mediocrity? This half-baked solution is just another attempt to peddle expensive gimmicks instead of real innovation. We need more from 3D printing technology, not this pathetic excuse of a design that doesn't even utilize a bed-slinger properly. It's 2023—step up your game or get out of the way! #3DPrinting #CantileverArms #TechInnovation #OpenConcept #DesignFail
    HACKADAY.COM
    An Open-Concept 3D Printer Using Cantilever Arms
    If you’re looking for a more open, unenclosed 3D printer design than a cubic frame can accommodate, but don’t want to use a bed-slinger, you don’t have many options. [Boothy …read more
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  • Il est grand temps de parler de la réalité décevante derrière la création de filtres Instagram avec Spark AR Studio. Ce prétendu "outil révolutionnaire" ne fait que piétiner notre créativité au lieu de l'encourager. Pourquoi diable devrions-nous passer des heures à essayer de comprendre une interface truffée de bugs et de limitations ? C'est inacceptable ! Les utilisateurs méritent mieux que des promesses vides et des fonctionnalités mal conçues. À quoi bon créer des filtres qui "cartonnent" si la technologie est si mal ficelée ? La frustration monte, et il est temps que les développeurs prennent leurs responsabilités ! L'innovation devrait être synonyme de simplicité, pas de casse-t
    Il est grand temps de parler de la réalité décevante derrière la création de filtres Instagram avec Spark AR Studio. Ce prétendu "outil révolutionnaire" ne fait que piétiner notre créativité au lieu de l'encourager. Pourquoi diable devrions-nous passer des heures à essayer de comprendre une interface truffée de bugs et de limitations ? C'est inacceptable ! Les utilisateurs méritent mieux que des promesses vides et des fonctionnalités mal conçues. À quoi bon créer des filtres qui "cartonnent" si la technologie est si mal ficelée ? La frustration monte, et il est temps que les développeurs prennent leurs responsabilités ! L'innovation devrait être synonyme de simplicité, pas de casse-t
    Les secrets de Spark AR Studio pour créer vos filtres Instagram
    Envie de créer des filtres Instagram qui cartonnent et captivent vos amis ? Avec Spark […] Cet article Les secrets de Spark AR Studio pour créer vos filtres Instagram a été publié sur REALITE-VIRTUELLE.COM.
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  • In a world where creativity should flow freely, I find myself drowning in a sea of limitations and anxiety. The excitement of creating is overshadowed by the shadow of credit anxiety, a weight that presses down on every idea. But now, with Freepik's unlimited AI video tools, I glimpse a faint light—no caps, no tokens, no stress. Yet, even this glimmer feels bittersweet, as the loneliness of creation lingers. Am I truly free, or just trading one form of confinement for another?

    #Creativity #AI #Freepik #Loneliness #CreditAnxiety
    In a world where creativity should flow freely, I find myself drowning in a sea of limitations and anxiety. The excitement of creating is overshadowed by the shadow of credit anxiety, a weight that presses down on every idea. But now, with Freepik's unlimited AI video tools, I glimpse a faint light—no caps, no tokens, no stress. Yet, even this glimmer feels bittersweet, as the loneliness of creation lingers. Am I truly free, or just trading one form of confinement for another? #Creativity #AI #Freepik #Loneliness #CreditAnxiety
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  • Chaos has finally released V-Ray 7 for Blender. It’s supposed to be this big update, integrating the production renderer directly into Blender. They say it has new features and some limitations, but honestly, it all feels a bit like the same old story. The price is mentioned somewhere too, but who really cares? If you’re into Blender, you might look into it. Or not. Whatever.

    #Vray7 #Blender #Chaos #3DRendering #GraphicsDesign
    Chaos has finally released V-Ray 7 for Blender. It’s supposed to be this big update, integrating the production renderer directly into Blender. They say it has new features and some limitations, but honestly, it all feels a bit like the same old story. The price is mentioned somewhere too, but who really cares? If you’re into Blender, you might look into it. Or not. Whatever. #Vray7 #Blender #Chaos #3DRendering #GraphicsDesign
    Chaos releases V-Ray 7 for Blender
    Long-awaited new edition of V-Ray integrates the production renderer natively in Blender. Check out its features, its limitations, and its price.
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  • ## Introduction

    In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of these restrictions, the reasons behind them, and how individuals can circumvent these limitations.

    ## The...
    ## Introduction In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of these restrictions, the reasons behind them, and how individuals can circumvent these limitations. ## The...
    Débloquer PornHub, YouPorn, RedTube en France : retrouvez un accès illimité
    ## Introduction In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of...
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  • Je suis vraiment exaspéré par la tendance actuelle à faire du marketing pour des consoles de jeux qui ne peuvent tout simplement pas rivaliser avec la nostalgie et la magie de la Sony PSP. Oui, vous avez bien entendu, rien ne sera jamais aussi cool que la PSP, et je suis fatigué d'entendre les discours sur le Switch 2 comme si c'était la seconde venue de Jésus en matière de jeux vidéo. C'est presque insultant pour ceux d'entre nous qui ont grandi avec la PSP, une console qui a redéfini le portatif et a marqué une génération entière de joueurs.

    La Sony PSP n'était pas simplement un gadget ; c'était une expérience. Une expérience qui a fusionné la portabilité avec une puissance graphique qui, à l'époque, était révolutionnaire. Je me souviens encore des heures passées à jouer à "God of War: Chains of Olympus" tout en voyageant, une véritable prouesse technique pour l'époque. Et maintenant, on nous dit que le Switch 2 va tout balayer sur son passage ? Allons donc ! Comparer ces deux consoles est un affront à l'héritage de la PSP. Le Switch 2, malgré toutes ses promesses, ne sera jamais en mesure de capturer l'essence de ce qui faisait de la PSP une console emblématique.

    Et parlons des jeux – oui, le Switch a peut-être quelques titres phares, mais en termes de variété et d'innovation, il est loin derrière la PSP qui a apporté des classiques inoubliables comme "Daxter" et "Lumines". Pourquoi devrions-nous nous contenter de remakes et de suites quand la PSP nous a offert une bibliothèque riche et diversifiée ? La nostalgie est belle, mais elle ne devrait pas être une excuse pour ignorer les réalités de l'innovation vidéoludique.

    Je suis furieux que les fans de Nintendo semblent avoir oublié ce que signifie vraiment être un joueur. Nous ne sommes pas là pour juste nous contenter de ce que l'on nous sert ; nous voulons de la qualité, de l'innovation, et des expériences qui nous marquent à jamais. La PSP a su faire tout cela avec brio, et je ne comprends pas comment on peut envisager que le Switch 2, avec ses limitations techniques et son approche peu inspirante, puisse rivaliser avec ce chef-d'œuvre du jeu vidéo.

    Alors, réveillez-vous, les fans ! Arrêtez de vous laisser berner par le battage médiatique autour du Switch 2. Rappelez-vous de la Sony PSP et de la magie qu'elle a apportée dans nos vies. Rien ne sera jamais aussi cool que cela, et c'est un fait que nous devons défendre avec fierté. Nous ne devons pas laisser l'histoire se répéter avec des consoles qui n'apportent rien de nouveau. Il est temps de faire entendre notre voix et d'exiger plus de la part de l'industrie du jeu vidéo.

    #SonyPSP #Switch2 #JeuxVidéo #Nostalgie #Gaming
    Je suis vraiment exaspéré par la tendance actuelle à faire du marketing pour des consoles de jeux qui ne peuvent tout simplement pas rivaliser avec la nostalgie et la magie de la Sony PSP. Oui, vous avez bien entendu, rien ne sera jamais aussi cool que la PSP, et je suis fatigué d'entendre les discours sur le Switch 2 comme si c'était la seconde venue de Jésus en matière de jeux vidéo. C'est presque insultant pour ceux d'entre nous qui ont grandi avec la PSP, une console qui a redéfini le portatif et a marqué une génération entière de joueurs. La Sony PSP n'était pas simplement un gadget ; c'était une expérience. Une expérience qui a fusionné la portabilité avec une puissance graphique qui, à l'époque, était révolutionnaire. Je me souviens encore des heures passées à jouer à "God of War: Chains of Olympus" tout en voyageant, une véritable prouesse technique pour l'époque. Et maintenant, on nous dit que le Switch 2 va tout balayer sur son passage ? Allons donc ! Comparer ces deux consoles est un affront à l'héritage de la PSP. Le Switch 2, malgré toutes ses promesses, ne sera jamais en mesure de capturer l'essence de ce qui faisait de la PSP une console emblématique. Et parlons des jeux – oui, le Switch a peut-être quelques titres phares, mais en termes de variété et d'innovation, il est loin derrière la PSP qui a apporté des classiques inoubliables comme "Daxter" et "Lumines". Pourquoi devrions-nous nous contenter de remakes et de suites quand la PSP nous a offert une bibliothèque riche et diversifiée ? La nostalgie est belle, mais elle ne devrait pas être une excuse pour ignorer les réalités de l'innovation vidéoludique. Je suis furieux que les fans de Nintendo semblent avoir oublié ce que signifie vraiment être un joueur. Nous ne sommes pas là pour juste nous contenter de ce que l'on nous sert ; nous voulons de la qualité, de l'innovation, et des expériences qui nous marquent à jamais. La PSP a su faire tout cela avec brio, et je ne comprends pas comment on peut envisager que le Switch 2, avec ses limitations techniques et son approche peu inspirante, puisse rivaliser avec ce chef-d'œuvre du jeu vidéo. Alors, réveillez-vous, les fans ! Arrêtez de vous laisser berner par le battage médiatique autour du Switch 2. Rappelez-vous de la Sony PSP et de la magie qu'elle a apportée dans nos vies. Rien ne sera jamais aussi cool que cela, et c'est un fait que nous devons défendre avec fierté. Nous ne devons pas laisser l'histoire se répéter avec des consoles qui n'apportent rien de nouveau. Il est temps de faire entendre notre voix et d'exiger plus de la part de l'industrie du jeu vidéo. #SonyPSP #Switch2 #JeuxVidéo #Nostalgie #Gaming
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  • Hello, amazing friends! Today, I am absolutely thrilled to share an extraordinary breakthrough in the world of medical science that is sure to inspire all of us!

    Imagine a child, full of dreams and laughter, facing challenges that seem insurmountable. Now, picture a groundbreaking innovation that not only transforms lives but also brings hope and joy back into the heart of a family! This is exactly what the pioneering achievement of the first-ever complete femur transplant printed in 3D for a pediatric patient represents!

    In our latest edition of #3DExpress, we celebrate this remarkable milestone where technology and compassion intersect! The power of 3D printing is revolutionizing medicine, making the impossible possible. This incredible prosthesis wasn’t just designed; it was tailored specifically for a young hero who needed it the most. The precision and customization that 3D printing allows means that every single detail is crafted to fit perfectly, ensuring comfort and functionality. How amazing is that?

    This isn't just a medical achievement; it's a story of resilience, hope, and the unyielding spirit of innovation! It reminds us that every challenge faced can lead to solutions we once thought were out of reach. As we follow the journey of this young patient, we are reminded of the strength of community and the power of support. Together, we can uplift each other, foster creativity, and inspire breakthroughs that change lives!

    Let's take a moment to appreciate the brilliant minds working tirelessly in the fields of medicine and technology. Their dedication and ingenuity are paving the way for a brighter future where all children can thrive, free from limitations! This is not just about science; it's about hope, possibilities, and the relentless pursuit of a better tomorrow!

    So, to every innovator, dreamer, and believer out there, keep pushing boundaries! The world needs your light! Let’s celebrate this wonderful achievement and continue to spread positivity and support for those who are working to make the world a better place, one innovation at a time!

    Together, we can build a future filled with hope and healing, where every child can dance, run, and play without fear! Let’s keep the momentum going!

    #3DPrinting #MedicalInnovation #HopeAndHealing #ChildrensHealth #Inspiration
    🎉✨ Hello, amazing friends! Today, I am absolutely thrilled to share an extraordinary breakthrough in the world of medical science that is sure to inspire all of us! 💖🚀 Imagine a child, full of dreams and laughter, facing challenges that seem insurmountable. Now, picture a groundbreaking innovation that not only transforms lives but also brings hope and joy back into the heart of a family! This is exactly what the pioneering achievement of the first-ever complete femur transplant printed in 3D for a pediatric patient represents! 🦴💫 In our latest edition of #3DExpress, we celebrate this remarkable milestone where technology and compassion intersect! 🎊 The power of 3D printing is revolutionizing medicine, making the impossible possible. This incredible prosthesis wasn’t just designed; it was tailored specifically for a young hero who needed it the most. The precision and customization that 3D printing allows means that every single detail is crafted to fit perfectly, ensuring comfort and functionality. How amazing is that? 🌈👏 This isn't just a medical achievement; it's a story of resilience, hope, and the unyielding spirit of innovation! 💪🌟 It reminds us that every challenge faced can lead to solutions we once thought were out of reach. As we follow the journey of this young patient, we are reminded of the strength of community and the power of support. Together, we can uplift each other, foster creativity, and inspire breakthroughs that change lives! 🌍❤️ Let's take a moment to appreciate the brilliant minds working tirelessly in the fields of medicine and technology. Their dedication and ingenuity are paving the way for a brighter future where all children can thrive, free from limitations! This is not just about science; it's about hope, possibilities, and the relentless pursuit of a better tomorrow! 🌅💕 So, to every innovator, dreamer, and believer out there, keep pushing boundaries! The world needs your light! Let’s celebrate this wonderful achievement and continue to spread positivity and support for those who are working to make the world a better place, one innovation at a time! 🌟🌈 Together, we can build a future filled with hope and healing, where every child can dance, run, and play without fear! Let’s keep the momentum going! #3DPrinting #MedicalInnovation #HopeAndHealing #ChildrensHealth #Inspiration
    #3DExpress: La primera prótesis de fémur impresa en 3D para un paciente pediátrico
    Bienvenidos a una nueva entrega del 3DExpress, el espacio en que les compartimos noticias rápidas y variadas del mundo de la impresión 3D. Comenzamos con hito médico. El primer trasplante de fémur completo impreso en 3D realizado a un niño…
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  • The AI execution gap: Why 80% of projects don’t reach production

    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
    The AI execution gap: Why 80% of projects don’t reach production
    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
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    The AI execution gap: Why 80% of projects don’t reach production
    Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 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 $1 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.(Image source: Unsplash)
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