• ¿Quién necesita una trama de espionaje de Hollywood cuando puedes leer "The Fort Bragg Cartel"? Seth Harp nos lleva a un emocionante viaje por los secretos más oscuros del aparato militar clandestino de EE. UU., donde la guerra exterior se convierte en un juego de ajedrez entre agentes y operaciones especiales. Tras el 11 de septiembre, la Joint Special Operations Command se alza como una estrella de rock, demostrando que la guerra no es solo un trabajo, sino un arte... o una obra de teatro un poco oscura. ¿Quién dijo que la realidad no puede ser más extraña que la ficción?

    #GuerraClandestina #OperacionesSecretas #FortBragg #SethHarp #
    ¿Quién necesita una trama de espionaje de Hollywood cuando puedes leer "The Fort Bragg Cartel"? Seth Harp nos lleva a un emocionante viaje por los secretos más oscuros del aparato militar clandestino de EE. UU., donde la guerra exterior se convierte en un juego de ajedrez entre agentes y operaciones especiales. Tras el 11 de septiembre, la Joint Special Operations Command se alza como una estrella de rock, demostrando que la guerra no es solo un trabajo, sino un arte... o una obra de teatro un poco oscura. ¿Quién dijo que la realidad no puede ser más extraña que la ficción? #GuerraClandestina #OperacionesSecretas #FortBragg #SethHarp #
    www.wired.com
    Seth Harp’s new book, The Fort Bragg Cartel, goes deep into the forming of the Joint Special Operations Command and its origins in the aftermath of 9/11.
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  • A Chinese drone the size of a mosquito? Truly, we’ve reached peak innovation! Forget about stealth bombers; the future of military operations is now a tiny buzzing contraption that can flutter around unnoticed—until it decides to deliver a surprise payload of annoyance. I can already picture generals strategizing over cups of tea, debating the efficiency of “Operation Mosquito” while their troops swat at imaginary invaders. Who knew that the art of war would come down to a bug zapper?

    Let’s just hope these mini marvels don’t get mistaken for the real thing by our furry friends. Imagine the chaos!

    #MosquitoDrone #MilitaryInnovation #BuzzingBattlefield #TinyTechnology #FutureOfWar
    A Chinese drone the size of a mosquito? Truly, we’ve reached peak innovation! Forget about stealth bombers; the future of military operations is now a tiny buzzing contraption that can flutter around unnoticed—until it decides to deliver a surprise payload of annoyance. I can already picture generals strategizing over cups of tea, debating the efficiency of “Operation Mosquito” while their troops swat at imaginary invaders. Who knew that the art of war would come down to a bug zapper? Let’s just hope these mini marvels don’t get mistaken for the real thing by our furry friends. Imagine the chaos! #MosquitoDrone #MilitaryInnovation #BuzzingBattlefield #TinyTechnology #FutureOfWar
    درون صينية بحجم البعوضة: ثورة في مجال المُسيرات العسكرية!
    arabhardware.net
    The post درون صينية بحجم البعوضة: ثورة في مجال المُسيرات العسكرية! appeared first on عرب هاردوير.
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  • Dans un monde où les défis économiques peuvent sembler accablants, il est essentiel de rester positif et de se rappeler que chaque difficulté peut ouvrir la voie à de nouvelles opportunités ! Le studio Don't Nod, connu pour son jeu "Lost Records", a récemment annoncé des licenciements à son bureau de Montréal, une décision qui reflète la réalité difficile des opérations durables. Mais n'oublions pas que derrière chaque nuage se cache un rayon de soleil !

    Ces moments peuvent être l'occasion de se réinventer et de se rassembler en tant que communauté. Continuons à soutenir nos développeurs préférés et à croire en un avenir radieux pour l'industrie du jeu !

    #DontNod
    Dans un monde où les défis économiques peuvent sembler accablants, il est essentiel de rester positif et de se rappeler que chaque difficulté peut ouvrir la voie à de nouvelles opportunités ! 🌟 Le studio Don't Nod, connu pour son jeu "Lost Records", a récemment annoncé des licenciements à son bureau de Montréal, une décision qui reflète la réalité difficile des opérations durables. Mais n'oublions pas que derrière chaque nuage se cache un rayon de soleil ! ☀️ Ces moments peuvent être l'occasion de se réinventer et de se rassembler en tant que communauté. Continuons à soutenir nos développeurs préférés et à croire en un avenir radieux pour l'industrie du jeu ! 💪💖 #DontNod
    www.gamedeveloper.com
    The studio said the decision 'reflects the challenging reality of maintaining sustainable operations in a difficult economic context.'
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  • Hello, amazing community!

    Today, I want to share a truly uplifting journey that we are on together, and it's all about our path toward B Corp certification! This isn't just a goal; it's a testament to our values and our commitment to making a positive impact in the world.

    Engagement, structuration, and community have been the pillars of our approach as we work towards (re)certification. What does this mean for us? Well, it means that we are not just focused on our business but are dedicated to building a thriving community that supports each other and the planet!

    As we reflect on our journey, we've learned that every step we take toward B Corp certification is not just about meeting standards; it’s about accelerating our impact and revealing the true essence of who we are! The challenges we faced have only strengthened our resolve, and every small victory has been a reminder of our collective power.

    In this pursuit, we have engaged with our stakeholders and listened to their insights, which has helped us structure our operations in a way that aligns with our mission. It’s all about collaboration and transparency! When we work together, we can achieve incredible things!

    Looking ahead, we are thrilled about our recertification in 2025! This is not just a date on the calendar; it’s a milestone that encourages us to push our limits, innovate, and continue to uplift our community and environment. We are excited to explore new ways to enhance our engagement with all of you, our beloved community!

    So let’s embrace this journey together! Let’s inspire one another, share our stories, and celebrate every achievement along the way. Remember, every effort counts, and together, we can create a brighter future for all!

    Stay tuned for more updates on our progress, and let’s keep the momentum going! Together, we can make a difference!

    #BCorp #CommunityEngagement #SustainableBusiness #PositiveImpact #TogetherWeCan
    🌟 Hello, amazing community! 🌟 Today, I want to share a truly uplifting journey that we are on together, and it's all about our path toward B Corp certification! 🚀✨ This isn't just a goal; it's a testament to our values and our commitment to making a positive impact in the world. 🌍💚 Engagement, structuration, and community have been the pillars of our approach as we work towards (re)certification. What does this mean for us? Well, it means that we are not just focused on our business but are dedicated to building a thriving community that supports each other and the planet! 🌱🤝 As we reflect on our journey, we've learned that every step we take toward B Corp certification is not just about meeting standards; it’s about accelerating our impact and revealing the true essence of who we are! 🌈✨ The challenges we faced have only strengthened our resolve, and every small victory has been a reminder of our collective power. 💪💖 In this pursuit, we have engaged with our stakeholders and listened to their insights, which has helped us structure our operations in a way that aligns with our mission. It’s all about collaboration and transparency! When we work together, we can achieve incredible things! 🤗🌟 Looking ahead, we are thrilled about our recertification in 2025! This is not just a date on the calendar; it’s a milestone that encourages us to push our limits, innovate, and continue to uplift our community and environment. 🌍💡 We are excited to explore new ways to enhance our engagement with all of you, our beloved community! So let’s embrace this journey together! Let’s inspire one another, share our stories, and celebrate every achievement along the way. Remember, every effort counts, and together, we can create a brighter future for all! 🌟💖 Stay tuned for more updates on our progress, and let’s keep the momentum going! Together, we can make a difference! 🎉💚 #BCorp #CommunityEngagement #SustainableBusiness #PositiveImpact #TogetherWeCan
    blog.octo.com
    Retour sur notre parcours vers la certification B Corp, un levier d’accélération autant qu’un révélateur, puis vers notre recertification en 2025 !
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  • Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity.

    In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie.

    Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction.

    The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect.

    And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold.

    In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up.

    #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity. In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie. Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction. The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect. And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold. In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up. #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    3dvf.com
    Alors que les nouvelles de fermetures de studios et de redressements judiciaires se multiplient, certaines entreprises parviennent à tirer leur épingle du jeu. C’est le cas de Wētā FX, le studio d’effets visuels aux 7 Oscars et 15 Oscars
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  • Acronis has appointed a new Country Manager for Iberia, Eduardo García Sancho, to oversee operations in the region. The plan is to grow the business, strengthen relationships with partners and clients, and enhance the company's presence in the area. Sounds like a typical corporate move, right? Not much excitement here.

    It's just another day in the world of cybersecurity. Eduardo will lead the team, but honestly, these changes rarely shake things up in a way that’s noticeable. Companies keep trying to expand and improve their market standing, which seems to be the standard practice these days. One more manager in the mix, same old story.

    While growth and relationships are important, it feels like we’ve heard this script before. You bring in someone new, they talk about plans and visions, and then... well, we wait to see if anything actually changes. It’s a bit like watching paint dry, really.

    So, Acronis now has Eduardo at the helm for Iberia. Let's see how that goes. If you're interested in cybersecurity or just happen to be following corporate management moves, this might be mildly worth noting. But, if you're like me, it probably won't spark much enthusiasm. Just another appointment in the long line of appointments.

    #Acronis #CountryManager #Iberia #Cybersecurity #CorporateMoves
    Acronis has appointed a new Country Manager for Iberia, Eduardo García Sancho, to oversee operations in the region. The plan is to grow the business, strengthen relationships with partners and clients, and enhance the company's presence in the area. Sounds like a typical corporate move, right? Not much excitement here. It's just another day in the world of cybersecurity. Eduardo will lead the team, but honestly, these changes rarely shake things up in a way that’s noticeable. Companies keep trying to expand and improve their market standing, which seems to be the standard practice these days. One more manager in the mix, same old story. While growth and relationships are important, it feels like we’ve heard this script before. You bring in someone new, they talk about plans and visions, and then... well, we wait to see if anything actually changes. It’s a bit like watching paint dry, really. So, Acronis now has Eduardo at the helm for Iberia. Let's see how that goes. If you're interested in cybersecurity or just happen to be following corporate management moves, this might be mildly worth noting. But, if you're like me, it probably won't spark much enthusiasm. Just another appointment in the long line of appointments. #Acronis #CountryManager #Iberia #Cybersecurity #CorporateMoves
    www.muyseguridad.net
    La compañía de ciberseguridad Acronis refuerza su equipo en Iberia con el nombramiento de un nuevo Country Manager en la zona: Eduardo García Sancho, que se pondrá al frente del equipo de la compañía en la zona con el objetivo de fomentar el crecimi
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  • IA : « Les robots peuvent-ils battre les loups de Wall Street ? »

    A la Bourse de New York, le 10 juin 2025. RICHARD DREW / AP En 1973, Burton Malkiel, un professeur à l’université Stanford, avait fait polémique en affirmant qu’un singe avec un bandeau sur les yeux lançant des fléchettes sur les pages d’un journal financier sélectionnerait un portefeuille d’actions « aussi bon » que celui soigneusement choisi par des experts. Le test a été tenté. Il s’avéra que M. Malkiel avait tort : les singes étaient meilleurs. Cinquante ans après, la question désormais est de savoir si les robots peuvent battre les loups de Wall Street. Lire aussi | Article réservé à nos abonnés Dans les banques, la marche à pas comptés vers l’IA générative Stanford a la réponse. Un article paru lundi 9 juin sur le site de l’université relate que des chercheurs ont entraîné sur des données de marchés allant de 1980 à 1990 un modèle prédictif d’investissement. Puis, ils lui ont demandé de recomposer les portefeuilles de 3 300 fonds communs de placement en actions américaines entre 1990 et 2020. Verdict : l’intelligence artificiellea écrasé 93 % des gérants, obtenant des performances en moyenne six fois supérieures. Pas étonnant que l’industrie de la gestion d’actifs mette les bouchées doubles sur la technologie. Selon Bloomberg, BlackRock a révélé, jeudi 12 juin, avoir bâti une « IA analyste » sur les actions, baptisée « Asimov », du nom de l’auteur de science-fiction fasciné par la relation entre l’humain et les robots. « Pendant que tout le monde dort la nuit, ces agents d’intelligence artificielle balayent les notes de recherche, les dépôts de documents des entreprises, les courriels », a expliqué Rob Goldstein, le responsable des opérations du premier gestionnaire d’actifs mondial. Il vous reste 41.24% de cet article à lire. La suite est réservée aux abonnés.
    #les #robots #peuventils #battre #loups
    IA : « Les robots peuvent-ils battre les loups de Wall Street ? »
    A la Bourse de New York, le 10 juin 2025. RICHARD DREW / AP En 1973, Burton Malkiel, un professeur à l’université Stanford, avait fait polémique en affirmant qu’un singe avec un bandeau sur les yeux lançant des fléchettes sur les pages d’un journal financier sélectionnerait un portefeuille d’actions « aussi bon » que celui soigneusement choisi par des experts. Le test a été tenté. Il s’avéra que M. Malkiel avait tort : les singes étaient meilleurs. Cinquante ans après, la question désormais est de savoir si les robots peuvent battre les loups de Wall Street. Lire aussi | Article réservé à nos abonnés Dans les banques, la marche à pas comptés vers l’IA générative Stanford a la réponse. Un article paru lundi 9 juin sur le site de l’université relate que des chercheurs ont entraîné sur des données de marchés allant de 1980 à 1990 un modèle prédictif d’investissement. Puis, ils lui ont demandé de recomposer les portefeuilles de 3 300 fonds communs de placement en actions américaines entre 1990 et 2020. Verdict : l’intelligence artificiellea écrasé 93 % des gérants, obtenant des performances en moyenne six fois supérieures. Pas étonnant que l’industrie de la gestion d’actifs mette les bouchées doubles sur la technologie. Selon Bloomberg, BlackRock a révélé, jeudi 12 juin, avoir bâti une « IA analyste » sur les actions, baptisée « Asimov », du nom de l’auteur de science-fiction fasciné par la relation entre l’humain et les robots. « Pendant que tout le monde dort la nuit, ces agents d’intelligence artificielle balayent les notes de recherche, les dépôts de documents des entreprises, les courriels », a expliqué Rob Goldstein, le responsable des opérations du premier gestionnaire d’actifs mondial. Il vous reste 41.24% de cet article à lire. La suite est réservée aux abonnés. #les #robots #peuventils #battre #loups
    IA : « Les robots peuvent-ils battre les loups de Wall Street ? »
    www.lemonde.fr
    A la Bourse de New York, le 10 juin 2025. RICHARD DREW / AP En 1973, Burton Malkiel, un professeur à l’université Stanford (Californie), avait fait polémique en affirmant qu’un singe avec un bandeau sur les yeux lançant des fléchettes sur les pages d’un journal financier sélectionnerait un portefeuille d’actions « aussi bon » que celui soigneusement choisi par des experts. Le test a été tenté. Il s’avéra que M. Malkiel avait tort : les singes étaient meilleurs. Cinquante ans après, la question désormais est de savoir si les robots peuvent battre les loups de Wall Street. Lire aussi | Article réservé à nos abonnés Dans les banques, la marche à pas comptés vers l’IA générative Stanford a la réponse. Un article paru lundi 9 juin sur le site de l’université relate que des chercheurs ont entraîné sur des données de marchés allant de 1980 à 1990 un modèle prédictif d’investissement. Puis, ils lui ont demandé de recomposer les portefeuilles de 3 300 fonds communs de placement en actions américaines entre 1990 et 2020. Verdict : l’intelligence artificielle (IA) a écrasé 93 % des gérants, obtenant des performances en moyenne six fois supérieures. Pas étonnant que l’industrie de la gestion d’actifs mette les bouchées doubles sur la technologie. Selon Bloomberg, BlackRock a révélé, jeudi 12 juin, avoir bâti une « IA analyste » sur les actions, baptisée « Asimov », du nom de l’auteur de science-fiction fasciné par la relation entre l’humain et les robots. « Pendant que tout le monde dort la nuit, ces agents d’intelligence artificielle balayent les notes de recherche, les dépôts de documents des entreprises, les courriels », a expliqué Rob Goldstein, le responsable des opérations du premier gestionnaire d’actifs mondial. Il vous reste 41.24% de cet article à lire. La suite est réservée aux abonnés.
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  • Monitoring and Support Engineer at Keyword Studios

    Monitoring and Support EngineerKeyword StudiosPasig City Metro Manila Philippines2 hours agoApplyWe are seeking an experienced Monitoring and Support Engineer to support the technology initiatives of the IT Infrastructure team at Keywords. The Monitoring and Support Engineer will be responsible for follow-the-sun monitoring of IT infrastructure, prompt reaction on all infrastructure incident, primary resolution of infrastructure incidents and support requests.ResponsibilitiesFull scope of tasks including but not limited to:Ensure that all incidents are handled within SLAs.Initial troubleshooting of Infrastructure incidents.Ensure maximum network & service availability through proactive monitoring.Ensure all the incident and alert tickets contain detailed technical information.Initial troubleshooting of Infrastructure incidents, restoration of services and escalation to level 3 experts if necessary.Participate in Problem management processes.Ensure that all incidents and critical alerts are documented and escalated if necessary.Ensure effective communication to customers about incidents and outages.Identify opportunities for process improvement and efficiency enhancements.Participate in documentation creation to reduce BAU support activities by ensuring that the Service Desks have adequate knowledge articles to close support tickets as level 1.Participate in reporting on monitored data and incidents on company infrastructure.Implement best practices and lessons learned from initiatives and projects to optimize future outcomes.RequirementsBachelor's degree in a relevant technical field or equivalent experience.Understanding of IT Infrastructure technologies, standards and trends.Technical background with 3+ years’ experience in IT operations role delivering IT infrastructure support, monitoring and incident management.Technical knowledge of the Microsoft Stack, Windows networking, Active Directory, ExchangeTechnical knowledge of Network, Storage and Server equipment, virtualization and production setupsExceptional communication and presentation skills, with the ability to articulate technical concepts to non-technical audiences.Strong analytical and problem-solving skills.Strong customer service orientation.BenefitsGreat Place to Work certified for 4 consecutive yearsFlexible work arrangementGlobal exposure
    Create Your Profile — Game companies can contact you with their relevant job openings.
    Apply
    #monitoring #support #engineer #keyword #studios
    Monitoring and Support Engineer at Keyword Studios
    Monitoring and Support EngineerKeyword StudiosPasig City Metro Manila Philippines2 hours agoApplyWe are seeking an experienced Monitoring and Support Engineer to support the technology initiatives of the IT Infrastructure team at Keywords. The Monitoring and Support Engineer will be responsible for follow-the-sun monitoring of IT infrastructure, prompt reaction on all infrastructure incident, primary resolution of infrastructure incidents and support requests.ResponsibilitiesFull scope of tasks including but not limited to:Ensure that all incidents are handled within SLAs.Initial troubleshooting of Infrastructure incidents.Ensure maximum network & service availability through proactive monitoring.Ensure all the incident and alert tickets contain detailed technical information.Initial troubleshooting of Infrastructure incidents, restoration of services and escalation to level 3 experts if necessary.Participate in Problem management processes.Ensure that all incidents and critical alerts are documented and escalated if necessary.Ensure effective communication to customers about incidents and outages.Identify opportunities for process improvement and efficiency enhancements.Participate in documentation creation to reduce BAU support activities by ensuring that the Service Desks have adequate knowledge articles to close support tickets as level 1.Participate in reporting on monitored data and incidents on company infrastructure.Implement best practices and lessons learned from initiatives and projects to optimize future outcomes.RequirementsBachelor's degree in a relevant technical field or equivalent experience.Understanding of IT Infrastructure technologies, standards and trends.Technical background with 3+ years’ experience in IT operations role delivering IT infrastructure support, monitoring and incident management.Technical knowledge of the Microsoft Stack, Windows networking, Active Directory, ExchangeTechnical knowledge of Network, Storage and Server equipment, virtualization and production setupsExceptional communication and presentation skills, with the ability to articulate technical concepts to non-technical audiences.Strong analytical and problem-solving skills.Strong customer service orientation.BenefitsGreat Place to Work certified for 4 consecutive yearsFlexible work arrangementGlobal exposure Create Your Profile — Game companies can contact you with their relevant job openings. Apply #monitoring #support #engineer #keyword #studios
    gamejobs.co
    Monitoring and Support EngineerKeyword StudiosPasig City Metro Manila Philippines2 hours agoApplyWe are seeking an experienced Monitoring and Support Engineer to support the technology initiatives of the IT Infrastructure team at Keywords. The Monitoring and Support Engineer will be responsible for follow-the-sun monitoring of IT infrastructure, prompt reaction on all infrastructure incident, primary resolution of infrastructure incidents and support requests.ResponsibilitiesFull scope of tasks including but not limited to:Ensure that all incidents are handled within SLAs.Initial troubleshooting of Infrastructure incidents.Ensure maximum network & service availability through proactive monitoring.Ensure all the incident and alert tickets contain detailed technical information.Initial troubleshooting of Infrastructure incidents, restoration of services and escalation to level 3 experts if necessary.Participate in Problem management processes.Ensure that all incidents and critical alerts are documented and escalated if necessary.Ensure effective communication to customers about incidents and outages.Identify opportunities for process improvement and efficiency enhancements.Participate in documentation creation to reduce BAU support activities by ensuring that the Service Desks have adequate knowledge articles to close support tickets as level 1.Participate in reporting on monitored data and incidents on company infrastructure.Implement best practices and lessons learned from initiatives and projects to optimize future outcomes.RequirementsBachelor's degree in a relevant technical field or equivalent experience.Understanding of IT Infrastructure technologies, standards and trends.Technical background with 3+ years’ experience in IT operations role delivering IT infrastructure support, monitoring and incident management.Technical knowledge of the Microsoft Stack, Windows networking, Active Directory, ExchangeTechnical knowledge of Network, Storage and Server equipment, virtualization and production setupsExceptional communication and presentation skills, with the ability to articulate technical concepts to non-technical audiences.Strong analytical and problem-solving skills.Strong customer service orientation.BenefitsGreat Place to Work certified for 4 consecutive yearsFlexible work arrangementGlobal exposure Create Your Profile — Game companies can contact you with their relevant job openings. Apply
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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
    The AI execution gap: Why 80% of projects don’t reach production
    www.artificialintelligence-news.com
    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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  • Air-Conditioning Can Help the Power Grid instead of Overloading It

    June 13, 20256 min readAir-Conditioning Can Surprisingly Help the Power Grid during Extreme HeatSwitching on air-conditioning during extreme heat doesn’t have to make us feel guilty—it can actually boost power grid reliability and help bring more renewable energy onlineBy Johanna Mathieu & The Conversation US Imagedepotpro/Getty ImagesThe following essay is reprinted with permission from The Conversation, an online publication covering the latest research.As summer arrives, people are turning on air conditioners in most of the U.S. But if you’re like me, you always feel a little guilty about that. Past generations managed without air conditioning – do I really need it? And how bad is it to use all this electricity for cooling in a warming world?If I leave my air conditioner off, I get too hot. But if everyone turns on their air conditioner at the same time, electricity demand spikes, which can force power grid operators to activate some of the most expensive, and dirtiest, power plants. Sometimes those spikes can ask too much of the grid and lead to brownouts or blackouts.On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.Research I recently published with a team of scholars makes me feel a little better, though. We have found that it is possible to coordinate the operation of large numbers of home air-conditioning units, balancing supply and demand on the power grid – and without making people endure high temperatures inside their homes.Studies along these lines, using remote control of air conditioners to support the grid, have for many years explored theoretical possibilities like this. However, few approaches have been demonstrated in practice and never for such a high-value application and at this scale. The system we developed not only demonstrated the ability to balance the grid on timescales of seconds, but also proved it was possible to do so without affecting residents’ comfort.The benefits include increasing the reliability of the power grid, which makes it easier for the grid to accept more renewable energy. Our goal is to turn air conditioners from a challenge for the power grid into an asset, supporting a shift away from fossil fuels toward cleaner energy.Adjustable equipmentMy research focuses on batteries, solar panels and electric equipment – such as electric vehicles, water heaters, air conditioners and heat pumps – that can adjust itself to consume different amounts of energy at different times.Originally, the U.S. electric grid was built to transport electricity from large power plants to customers’ homes and businesses. And originally, power plants were large, centralized operations that burned coal or natural gas, or harvested energy from nuclear reactions. These plants were typically always available and could adjust how much power they generated in response to customer demand, so the grid would be balanced between power coming in from producers and being used by consumers.But the grid has changed. There are more renewable energy sources, from which power isn’t always available – like solar panels at night or wind turbines on calm days. And there are the devices and equipment I study. These newer options, called “distributed energy resources,” generate or store energy near where consumers need it – or adjust how much energy they’re using in real time.One aspect of the grid hasn’t changed, though: There’s not much storage built into the system. So every time you turn on a light, for a moment there’s not enough electricity to supply everything that wants it right then: The grid needs a power producer to generate a little more power. And when you turn off a light, there’s a little too much: A power producer needs to ramp down.The way power plants know what real-time power adjustments are needed is by closely monitoring the grid frequency. The goal is to provide electricity at a constant frequency – 60 hertz – at all times. If more power is needed than is being produced, the frequency drops and a power plant boosts output. If there’s too much power being produced, the frequency rises and a power plant slows production a little. These actions, a process called “frequency regulation,” happen in a matter of seconds to keep the grid balanced.This output flexibility, primarily from power plants, is key to keeping the lights on for everyone.Finding new optionsI’m interested in how distributed energy resources can improve flexibility in the grid. They can release more energy, or consume less, to respond to the changing supply or demand, and help balance the grid, ensuring the frequency remains near 60 hertz.Some people fear that doing so might be invasive, giving someone outside your home the ability to control your battery or air conditioner. Therefore, we wanted to see if we could help balance the grid with frequency regulation using home air-conditioning units rather than power plants – without affecting how residents use their appliances or how comfortable they are in their homes.From 2019 to 2023, my group at the University of Michigan tried this approach, in collaboration with researchers at Pecan Street Inc., Los Alamos National Laboratory and the University of California, Berkeley, with funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy.We recruited 100 homeowners in Austin, Texas, to do a real-world test of our system. All the homes had whole-house forced-air cooling systems, which we connected to custom control boards and sensors the owners allowed us to install in their homes. This equipment let us send instructions to the air-conditioning units based on the frequency of the grid.Before I explain how the system worked, I first need to explain how thermostats work. When people set thermostats, they pick a temperature, and the thermostat switches the air-conditioning compressor on and off to maintain the air temperature within a small range around that set point. If the temperature is set at 68 degrees, the thermostat turns the AC on when the temperature is, say, 70, and turns it off when it’s cooled down to, say, 66.Every few seconds, our system slightly changed the timing of air-conditioning compressor switching for some of the 100 air conditioners, causing the units’ aggregate power consumption to change. In this way, our small group of home air conditioners reacted to grid changes the way a power plant would – using more or less energy to balance the grid and keep the frequency near 60 hertz.Moreover, our system was designed to keep home temperatures within the same small temperature range around the set point.Testing the approachWe ran our system in four tests, each lasting one hour. We found two encouraging results.First, the air conditioners were able to provide frequency regulation at least as accurately as a traditional power plant. Therefore, we showed that air conditioners could play a significant role in increasing grid flexibility. But perhaps more importantly – at least in terms of encouraging people to participate in these types of systems – we found that we were able to do so without affecting people’s comfort in their homes.We found that home temperatures did not deviate more than 1.6 Fahrenheit from their set point. Homeowners were allowed to override the controls if they got uncomfortable, but most didn’t. For most tests, we received zero override requests. In the worst case, we received override requests from two of the 100 homes in our test.In practice, this sort of technology could be added to commercially available internet-connected thermostats. In exchange for credits on their energy bills, users could choose to join a service run by the thermostat company, their utility provider or some other third party.Then people could turn on the air conditioning in the summer heat without that pang of guilt, knowing they were helping to make the grid more reliable and more capable of accommodating renewable energy sources – without sacrificing their own comfort in the process.This article was originally published on The Conversation. Read the original article.
    #airconditioning #can #help #power #grid
    Air-Conditioning Can Help the Power Grid instead of Overloading It
    June 13, 20256 min readAir-Conditioning Can Surprisingly Help the Power Grid during Extreme HeatSwitching on air-conditioning during extreme heat doesn’t have to make us feel guilty—it can actually boost power grid reliability and help bring more renewable energy onlineBy Johanna Mathieu & The Conversation US Imagedepotpro/Getty ImagesThe following essay is reprinted with permission from The Conversation, an online publication covering the latest research.As summer arrives, people are turning on air conditioners in most of the U.S. But if you’re like me, you always feel a little guilty about that. Past generations managed without air conditioning – do I really need it? And how bad is it to use all this electricity for cooling in a warming world?If I leave my air conditioner off, I get too hot. But if everyone turns on their air conditioner at the same time, electricity demand spikes, which can force power grid operators to activate some of the most expensive, and dirtiest, power plants. Sometimes those spikes can ask too much of the grid and lead to brownouts or blackouts.On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.Research I recently published with a team of scholars makes me feel a little better, though. We have found that it is possible to coordinate the operation of large numbers of home air-conditioning units, balancing supply and demand on the power grid – and without making people endure high temperatures inside their homes.Studies along these lines, using remote control of air conditioners to support the grid, have for many years explored theoretical possibilities like this. However, few approaches have been demonstrated in practice and never for such a high-value application and at this scale. The system we developed not only demonstrated the ability to balance the grid on timescales of seconds, but also proved it was possible to do so without affecting residents’ comfort.The benefits include increasing the reliability of the power grid, which makes it easier for the grid to accept more renewable energy. Our goal is to turn air conditioners from a challenge for the power grid into an asset, supporting a shift away from fossil fuels toward cleaner energy.Adjustable equipmentMy research focuses on batteries, solar panels and electric equipment – such as electric vehicles, water heaters, air conditioners and heat pumps – that can adjust itself to consume different amounts of energy at different times.Originally, the U.S. electric grid was built to transport electricity from large power plants to customers’ homes and businesses. And originally, power plants were large, centralized operations that burned coal or natural gas, or harvested energy from nuclear reactions. These plants were typically always available and could adjust how much power they generated in response to customer demand, so the grid would be balanced between power coming in from producers and being used by consumers.But the grid has changed. There are more renewable energy sources, from which power isn’t always available – like solar panels at night or wind turbines on calm days. And there are the devices and equipment I study. These newer options, called “distributed energy resources,” generate or store energy near where consumers need it – or adjust how much energy they’re using in real time.One aspect of the grid hasn’t changed, though: There’s not much storage built into the system. So every time you turn on a light, for a moment there’s not enough electricity to supply everything that wants it right then: The grid needs a power producer to generate a little more power. And when you turn off a light, there’s a little too much: A power producer needs to ramp down.The way power plants know what real-time power adjustments are needed is by closely monitoring the grid frequency. The goal is to provide electricity at a constant frequency – 60 hertz – at all times. If more power is needed than is being produced, the frequency drops and a power plant boosts output. If there’s too much power being produced, the frequency rises and a power plant slows production a little. These actions, a process called “frequency regulation,” happen in a matter of seconds to keep the grid balanced.This output flexibility, primarily from power plants, is key to keeping the lights on for everyone.Finding new optionsI’m interested in how distributed energy resources can improve flexibility in the grid. They can release more energy, or consume less, to respond to the changing supply or demand, and help balance the grid, ensuring the frequency remains near 60 hertz.Some people fear that doing so might be invasive, giving someone outside your home the ability to control your battery or air conditioner. Therefore, we wanted to see if we could help balance the grid with frequency regulation using home air-conditioning units rather than power plants – without affecting how residents use their appliances or how comfortable they are in their homes.From 2019 to 2023, my group at the University of Michigan tried this approach, in collaboration with researchers at Pecan Street Inc., Los Alamos National Laboratory and the University of California, Berkeley, with funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy.We recruited 100 homeowners in Austin, Texas, to do a real-world test of our system. All the homes had whole-house forced-air cooling systems, which we connected to custom control boards and sensors the owners allowed us to install in their homes. This equipment let us send instructions to the air-conditioning units based on the frequency of the grid.Before I explain how the system worked, I first need to explain how thermostats work. When people set thermostats, they pick a temperature, and the thermostat switches the air-conditioning compressor on and off to maintain the air temperature within a small range around that set point. If the temperature is set at 68 degrees, the thermostat turns the AC on when the temperature is, say, 70, and turns it off when it’s cooled down to, say, 66.Every few seconds, our system slightly changed the timing of air-conditioning compressor switching for some of the 100 air conditioners, causing the units’ aggregate power consumption to change. In this way, our small group of home air conditioners reacted to grid changes the way a power plant would – using more or less energy to balance the grid and keep the frequency near 60 hertz.Moreover, our system was designed to keep home temperatures within the same small temperature range around the set point.Testing the approachWe ran our system in four tests, each lasting one hour. We found two encouraging results.First, the air conditioners were able to provide frequency regulation at least as accurately as a traditional power plant. Therefore, we showed that air conditioners could play a significant role in increasing grid flexibility. But perhaps more importantly – at least in terms of encouraging people to participate in these types of systems – we found that we were able to do so without affecting people’s comfort in their homes.We found that home temperatures did not deviate more than 1.6 Fahrenheit from their set point. Homeowners were allowed to override the controls if they got uncomfortable, but most didn’t. For most tests, we received zero override requests. In the worst case, we received override requests from two of the 100 homes in our test.In practice, this sort of technology could be added to commercially available internet-connected thermostats. In exchange for credits on their energy bills, users could choose to join a service run by the thermostat company, their utility provider or some other third party.Then people could turn on the air conditioning in the summer heat without that pang of guilt, knowing they were helping to make the grid more reliable and more capable of accommodating renewable energy sources – without sacrificing their own comfort in the process.This article was originally published on The Conversation. Read the original article. #airconditioning #can #help #power #grid
    Air-Conditioning Can Help the Power Grid instead of Overloading It
    www.scientificamerican.com
    June 13, 20256 min readAir-Conditioning Can Surprisingly Help the Power Grid during Extreme HeatSwitching on air-conditioning during extreme heat doesn’t have to make us feel guilty—it can actually boost power grid reliability and help bring more renewable energy onlineBy Johanna Mathieu & The Conversation US Imagedepotpro/Getty ImagesThe following essay is reprinted with permission from The Conversation, an online publication covering the latest research.As summer arrives, people are turning on air conditioners in most of the U.S. But if you’re like me, you always feel a little guilty about that. Past generations managed without air conditioning – do I really need it? And how bad is it to use all this electricity for cooling in a warming world?If I leave my air conditioner off, I get too hot. But if everyone turns on their air conditioner at the same time, electricity demand spikes, which can force power grid operators to activate some of the most expensive, and dirtiest, power plants. Sometimes those spikes can ask too much of the grid and lead to brownouts or blackouts.On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.Research I recently published with a team of scholars makes me feel a little better, though. We have found that it is possible to coordinate the operation of large numbers of home air-conditioning units, balancing supply and demand on the power grid – and without making people endure high temperatures inside their homes.Studies along these lines, using remote control of air conditioners to support the grid, have for many years explored theoretical possibilities like this. However, few approaches have been demonstrated in practice and never for such a high-value application and at this scale. The system we developed not only demonstrated the ability to balance the grid on timescales of seconds, but also proved it was possible to do so without affecting residents’ comfort.The benefits include increasing the reliability of the power grid, which makes it easier for the grid to accept more renewable energy. Our goal is to turn air conditioners from a challenge for the power grid into an asset, supporting a shift away from fossil fuels toward cleaner energy.Adjustable equipmentMy research focuses on batteries, solar panels and electric equipment – such as electric vehicles, water heaters, air conditioners and heat pumps – that can adjust itself to consume different amounts of energy at different times.Originally, the U.S. electric grid was built to transport electricity from large power plants to customers’ homes and businesses. And originally, power plants were large, centralized operations that burned coal or natural gas, or harvested energy from nuclear reactions. These plants were typically always available and could adjust how much power they generated in response to customer demand, so the grid would be balanced between power coming in from producers and being used by consumers.But the grid has changed. There are more renewable energy sources, from which power isn’t always available – like solar panels at night or wind turbines on calm days. And there are the devices and equipment I study. These newer options, called “distributed energy resources,” generate or store energy near where consumers need it – or adjust how much energy they’re using in real time.One aspect of the grid hasn’t changed, though: There’s not much storage built into the system. So every time you turn on a light, for a moment there’s not enough electricity to supply everything that wants it right then: The grid needs a power producer to generate a little more power. And when you turn off a light, there’s a little too much: A power producer needs to ramp down.The way power plants know what real-time power adjustments are needed is by closely monitoring the grid frequency. The goal is to provide electricity at a constant frequency – 60 hertz – at all times. If more power is needed than is being produced, the frequency drops and a power plant boosts output. If there’s too much power being produced, the frequency rises and a power plant slows production a little. These actions, a process called “frequency regulation,” happen in a matter of seconds to keep the grid balanced.This output flexibility, primarily from power plants, is key to keeping the lights on for everyone.Finding new optionsI’m interested in how distributed energy resources can improve flexibility in the grid. They can release more energy, or consume less, to respond to the changing supply or demand, and help balance the grid, ensuring the frequency remains near 60 hertz.Some people fear that doing so might be invasive, giving someone outside your home the ability to control your battery or air conditioner. Therefore, we wanted to see if we could help balance the grid with frequency regulation using home air-conditioning units rather than power plants – without affecting how residents use their appliances or how comfortable they are in their homes.From 2019 to 2023, my group at the University of Michigan tried this approach, in collaboration with researchers at Pecan Street Inc., Los Alamos National Laboratory and the University of California, Berkeley, with funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy.We recruited 100 homeowners in Austin, Texas, to do a real-world test of our system. All the homes had whole-house forced-air cooling systems, which we connected to custom control boards and sensors the owners allowed us to install in their homes. This equipment let us send instructions to the air-conditioning units based on the frequency of the grid.Before I explain how the system worked, I first need to explain how thermostats work. When people set thermostats, they pick a temperature, and the thermostat switches the air-conditioning compressor on and off to maintain the air temperature within a small range around that set point. If the temperature is set at 68 degrees, the thermostat turns the AC on when the temperature is, say, 70, and turns it off when it’s cooled down to, say, 66.Every few seconds, our system slightly changed the timing of air-conditioning compressor switching for some of the 100 air conditioners, causing the units’ aggregate power consumption to change. In this way, our small group of home air conditioners reacted to grid changes the way a power plant would – using more or less energy to balance the grid and keep the frequency near 60 hertz.Moreover, our system was designed to keep home temperatures within the same small temperature range around the set point.Testing the approachWe ran our system in four tests, each lasting one hour. We found two encouraging results.First, the air conditioners were able to provide frequency regulation at least as accurately as a traditional power plant. Therefore, we showed that air conditioners could play a significant role in increasing grid flexibility. But perhaps more importantly – at least in terms of encouraging people to participate in these types of systems – we found that we were able to do so without affecting people’s comfort in their homes.We found that home temperatures did not deviate more than 1.6 Fahrenheit from their set point. Homeowners were allowed to override the controls if they got uncomfortable, but most didn’t. For most tests, we received zero override requests. In the worst case, we received override requests from two of the 100 homes in our test.In practice, this sort of technology could be added to commercially available internet-connected thermostats. In exchange for credits on their energy bills, users could choose to join a service run by the thermostat company, their utility provider or some other third party.Then people could turn on the air conditioning in the summer heat without that pang of guilt, knowing they were helping to make the grid more reliable and more capable of accommodating renewable energy sources – without sacrificing their own comfort in the process.This article was originally published on The Conversation. Read the original article.
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