Michael S.

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🚀 Excited to have completed the Artificial Intelligence (AI) for Project Managers course! A great reminder that AI is not replacing project managers, it's empowering us to make better decisions, automate repetitive tasks, and focus on delivering greater value. The course also emphasized the importance of responsible AI adoption, ensuring that human judgment, governance, and ethics remain at the center of every decision. Excited to continue learning, experimenting, and applying AI to deliver better project outcomes. #AI #ProjectManagement #ContinuousLearning

Особенности русского языка.Выражения «ты мне очень нужен» и «очень ты мне нужен», имеют противоположный смысл.«Чайник долго остывает» и «чайник долго не остывает» - это одно и то же.В русском языке слово «порядочная» и «непорядочная» могут быть синонимами, если речь идет о сволочи. А слова «приличная» и «неприличная» становятся синонимами, если речь идет о большой сумме денег.В квартире идут: В спальню, В коридор, В детскую, но НА кухню. Что не так с кухней?Ох, уж эта русская пунктуация: «Здравствуйте, Мария, ответьте, пожалуйста, Андрею, там, кажется, вопрос, который, очевидно, не решен».Фраза «Я тебя никогда не забуду», - звучит нежно и ласково. А вот фраза «Я тебя запомню» - уже как-то угрожающе.«Бесчеловечно» и «безлюдно» не синонимы.Только в русском языке предложение может состоять из 5 глаголов: «Решили послать сходить купить поесть».Кроме исключительного русского сочетания «да нет, наверно», есть еще уникальное «бери давай».Только в русском языке можно составить вопрос из пяти стоящих подряд букв алфавита: «Где ёж?».А еще из трех букв можно составить вопросительное предложение: «Э, а я?»Вопрос о черной смородине: «-а почему она красная? – потому что еще зеленая».Дверь надежно заперта. Дверь безнадежно заперта.

Proud to have earned my watsonx Challenge badge.The IBM watsonx Challenge is more than a learning exercise. It is a hands-on opportunity to experiment with AI, build practical solutions, and apply emerging technologies to real business problems. The challenge focuses on developing agentic AI skills and finding new ways to drive productivity, innovation, and growth, using IBM BOB and IBM Consulting Advantage. For me, participating is also about embracing the mindset of the consultant of the future: continuously learning, testing new ideas, and staying ahead of technology shifts so we can bring greater value to our clients. In a business environment that is evolving faster than ever, curiosity, adaptability, and AI fluency are becoming essential leadership capabilities.The best way to understand the future is to help build it. 🚀

During June, we ran the PMI GenAI Factory Bootcamp – Buenos Aires Edition: two days with PMI engineers and technical leaders exploring one of PMI Tech's platforms driving GenAI adoption across the company. PMI's GenAI Factory isn't an isolated experiment, it's a platform built to reuse capabilities across teams, accelerate delivery, and keep security and governance at the core, with scalability and long-term efficiency in mind. Not a throwaway six-month solution. Day 1 — the vision: how the platform enables responsible AI adoption across business cases, designed from the ground up to scale efficiently. Day 2 — hands-on: participants took real compliance and cybersecurity use cases from paper to a working application. Turning an idea into something tangible was the highlight. Thanks to MS Copilot, we built an assistant agent that guided participants through conceptual and technical questions throughout the bootcamp. An agent helping build agents. 🤖 Great conversations came out of it: how do we, as organizations, choose what to build? How do we consciously track the AI projects that actually deliver value, instead of piling up scattered experiments? For me, that's the real challenge ahead. Happy to have kicked this off at PMI Argentina, will be extending it to IT Platforms closest to the business. 🚀 ------ En Junio tuvimos el PMI GenAI Factory Bootcamp en Buenos Aires: dos días con ingenieros y líderes técnicos de PMI conociendo una de las plataformas de PMI Tech que impulsa la adopción de GenAI en la compañía. La GenAI Factory no es un experimento aislado, es una plataforma pensada para reutilizar capacidades entre equipos, acelerar la entrega y mantener seguridad y gobernanza en el centro, con escalabilidad y eficiencia a largo plazo, no soluciones descartables en seis meses. Día 1: La visión, entendiendo cómo la plataforma habilita la adopción responsable de IA en distintos casos de negocio de forma eficiente y escalable. Día 2: Los participantes trabajaron casos reales de compliance y ciberseguridad y los llevaron de un problema en papel a una aplicación funcionando. Ese salto fue lo mejor de los dos días. Gracias a MS Copilot, diseñamos un agente asistente que guió a los participantes en dudas conceptuales y técnicas durante todo el bootcamp. Un agente ayudando a construir agentes. Quedaron muchas preguntas dando vueltas: ¿cómo elegimos qué construir? ¿Cómo trackeamos conscientemente los proyectos de IA que aportan valor, en lugar de acumular experimentos sueltos? Ahí está el verdadero desafío. Muy contentos de haber arrancado en PMI Argentina, y la idea es extenderlo a las IT Platforms más cercanas al negocio. 🚀 Gracias Agustin Herrlein Adrián Jovellanos de Aguiar Laporaes Santiago Alvarez Mariano Fernandez Joaquin Alvarez Rosmary Adante M. por su participacion. Y un agradecimiento especial a Leonardo Garofalo con quien lideramos este primer bootcamp de Buenos Aires. Microsoft #Copilot

It is a proud moment to be recognized as a #DistinguishedEngineer at UBS. While it is considered as an individual achievement, there is no doubt reg. the support by your team, guidance by seniors, and the overall enablement provided by the enterprise ecosystem - that allows one to thrive and continue building challenging and strategic products. So I am lucky and thankful to have this support and ecosystem. Time to celebrate and relive this jouney! Link to the full announcement: https://lnkd.in/eMD3Q-dv For more details of the Distinguished Engineers program at #UBS (and in general our Engineering culture), please refer to: https://lnkd.in/erKSDk8U

🚇 Today I took the metro. Nothing special — except it was the first time in a long while that I took that line without the kids and without a stroller. And I caught myself fighting old habits. Walking toward the far accessible entrance. Heading for the lift. I didn't need any of it — the stroller wasn't there. But my feet were on autopilot, still solving a problem I no longer had. 🤔 It stuck with me on the ride. If I'm on autopilot for something as simple as which entrance to use, how many automatisms am I carrying at work? Looking at report by habits; not rethinking purpose of some meetings. Maybe all theses steps that made sense two years ago and nobody has touched since. The metro one was easy to spot — the stroller was gone, the cue was obvious. At work the cues disappear quietly. Nothing forces you to notice. The context changed months ago and you're still taking the long way to the lift. In the context of AI Transformatin this will even more accelerate. 💡 Maybe the habit worth building is asking, now and then: am I doing this because it's right, or because it's what I did last time?