{"id":6384,"date":"2025-06-03T10:15:04","date_gmt":"2025-06-03T10:15:04","guid":{"rendered":"https:\/\/www.urudata.com\/?p=6384"},"modified":"2026-01-14T15:01:54","modified_gmt":"2026-01-14T15:01:54","slug":"de-los-datos-a-la-ia-transformando-tu-organizacion-de-la-mano-de-google-cloud","status":"publish","type":"post","link":"https:\/\/urudata.com\/en\/de-los-datos-a-la-ia-transformando-tu-organizacion-de-la-mano-de-google-cloud\/","title":{"rendered":"From Data to AI: Transforming Your Organization with the Help of Google Cloud"},"content":{"rendered":"<p><em>This article summarizes what was presented at the Urudata &amp; Google event on May 15, 2025. It was automatically generated by our youngest assistant: NeuraBot, powered by Tu Neural.<\/em><\/p>\n\n\n\n<p>Amid the whirlwind of today\u2019s technology landscape, Artificial Intelligence (AI) has moved beyond being a futuristic promise to become a tangible motor of business transformation. At a recent event, Urudata, in its role as a Google Cloud partner, brought together leaders and visionaries to break down how the synergy between robust data and advanced AI is redefining the boundaries of what\u2019s possible.<\/p>\n\n\n\n<p>The day began with an inspiring reflection by Nicolas Gutierrez Brum, who, invoking Henry Ford\u2019s famous phrase \u2014 \"If I had asked people what they wanted, they would have said faster horses\" \u2014 illustrated a fundamental truth about innovation. Often, companies seek incremental improvements, those \u201c<strong>faster horses<\/strong>\u201d manifested in optimizations such as basic chatbots, enhancements in route and stock logistics, or the automation of industrial and accounting processes. While valuable, these improvements represent only the surface of transformative potential.<\/p>\n\n\n\n<p>La verdadera disrupci\u00f3n, argument\u00f3 Gutierrez Brum, reside en la &#8220;<strong>Artificial Intelligence applied with purpose<\/strong>.\u201d This means going beyond simple automation to embrace solutions such as truly effective virtual assistants, dynamic demand prediction in logistics, omnichannel marketing strategies with proactive proposals based on deep behavioral analysis, predictive maintenance in the industry, and sophisticated fraud prevention in finance. This approach is at the core of Urudata\u2019s <strong>Tu Neural<\/strong> proposition \u2014 a vision where AI not only modernizes but reinvents and delivers strategic and purposeful value to every facet of the business.<\/p>\n\n\n\n<p>Moving forward with the exploration of the capabilities driving this new era, Ignacio Cattivelli, Engineering Director at Urudata, immersed us in the universe of <strong>Gemini<\/strong>, Google\u2019s most intelligent AI model, and the robust ecosystem that supports it. Cattivelli highlighted Google Cloud\u2019s multilayer architecture, which spans from AI infrastructure and cutting-edge research to models, tools, products, and platforms.<\/p>\n\n\n\n<p>At the heart of this offer lies the Gemini family, featuring models such as <strong>Gemini 2.5 Pro<\/strong>, optimized for coding and complex prompts, and <strong>Gemini 2.5 Flash<\/strong>, designed for fast performance on complex tasks. One of the most notable capabilities of Gemini 2.5 Pro is its 1-million-token context window, capable of processing the equivalent of one hour of video, eleven hours of audio, over 30,000 lines of code, or 700,000 words. This scope enables unprecedented understanding and information generation, as evidenced by rankings on platforms like Text Arena, where Gemini models consistently demonstrate their superiority.<\/p>\n\n\n\n<p>Beyond Gemini, Cattivelli presented a range of Google tools such as <strong>Gemma<\/strong> (lightweight open models), <strong>Imagen<\/strong> (high-quality text-to-image generation), <strong>Lyria<\/strong> (music generation), and <strong>Veo<\/strong> (video generation). The latter demonstrated its creative potential with striking examples, from an adorable dachshund diving into a pool wearing swimming goggles to the evocative recreation of a Renaissance palace, showcasing AI\u2019s ability to generate cinematic and detailed visual content from simple textual descriptions.<\/p>\n\n\n\n<p>La presentaci\u00f3n culmin\u00f3 con la visi\u00f3n de &#8220;<strong>Google Cloud en la era de los Agentes<\/strong>&#8220;. Esta nueva arquitectura se apoya en <strong>Vertex AI<\/strong> for model building and management, a robust foundation of <strong>Datos multimodales<\/strong> and the <strong>AI Hypercomputer<\/strong> for optimized performance. Built on this infrastructure are the <strong>Gemini API and AI Studio<\/strong>, along with tools like <strong>Google Agentspace<\/strong>, which facilitate the creation of AI applications and agents by integrating enterprise search, the best generative AI models, and a robust, secure agent platform. A future was glimpsed where agent development, powered by kits like <strong>LangGraph<\/strong> and <strong>LangChain<\/strong>, becomes more accessible, enabling companies to build customized solutions with unprecedented efficiency and scalability \u2014 all on the same infrastructure that powers giants like Google DeepMind, Search, and YouTube. Additionally, the efficiency of models like Gemini 2.0 Flash and Flash-Lite was highlighted, offering competitive \u201c<strong>intelligence per dollar<\/strong>&#8221; competitiva, democratizando el acceso a la IA de vanguardia.<\/p>\n\n\n\n<p>At last, Pablo Garc\u00eda, I+D Director at Urudata, anchored the discussion on the most crucial element for AI success: data. Garc\u00eda began by warning that, in times of rapid change such as the present, the difference between companies that take off and those that stagnate lies in their ability to adapt and intelligently use their assets, with data being one of the most valuable.<\/p>\n\n\n\n<p>He demystified the apparent easiness of implementing solutions like <strong>RAG (Retrieval Augmented Generation)<\/strong>, subrayando que &#8220;los datos nunca est\u00e1n como los preciso&#8221;. Este es el &#8220;<strong>\u201cthe data problem\u201d<\/strong>: implicit and machine biases, the illusion of the wisdom of crowds (where a small percentage of users generate most of the content), and concept drift, which causes models to lose accuracy over time.<\/p>\n\n\n\n<p>Faced with these challenges, Garc\u00eda emphasized a shift in focus in Machine Learning: from model building and deployment toward prioritizing <strong>data and LiveOps<\/strong>. Traditional software engineering is not enough; ML implementation is inherently more complex and requires a solid <strong>data strategy<\/strong> s\u00f3lida, definida como &#8220;un concepto central e integrado que articula c\u00f3mo los datos habilitar\u00e1n e inspirar\u00e1n la estrategia de negocio&#8221;.<\/p>\n\n\n\n<p>It was proposed the evolution from the Lakehouse to an <strong>Operational Data Store<\/strong>, where rapid experimentation, automation, efficiency, and scalability are key. This is where <strong>data products<\/strong> emerge as a vital bridge between raw data and analytical transformations, enabling the creation of specific, reusable data assets. This<strong>\u201cdata as a product<\/strong>approach unlocks significant value by increasing productivity, democratizing access, reducing risks, and optimizing resources. To achieve this, co-construction principles are needed, evaluating data in terms of confidentiality, availability, integrity, quality, cost, and performance, and enabling a <strong>data-mesh<\/strong> architecture where data domains operate more autonomously and efficiently.<\/p>\n\n\n\n<p>According to Garc\u00eda, the ideal platform should combine classic attributes (scalability, low TCO, security) with modern ones (multimodality, decoupling of data and processing, real-time capabilities, and AI embedded across all layers). <strong>Google\u2019s AI-ready Data Cloud<\/strong> meets this need, with <strong>BigQuery<\/strong> at its core, offering a unified platform that combines the best of data and AI. Capabilities such as Unified Query, Object Tables with BQML, and the new <strong>Data Engineering Agents<\/strong> \u2014 which automate data engineering tasks like pipeline creation and optimization using natural language \u2014 are transforming how companies interact with and extract value from their data.<\/p>\n\n\n\n<p>In summary, the event organized by Urudata and Google Cloud painted a clear picture: Artificial Intelligence is an unavoidable transformative force. However, its power is only fully unleashed when supported by an intelligent data strategy and advanced technology platforms. The combination of Urudata\u2019s vision, embodied in solutions like <strong>Tu Neural<\/strong> and its deep expertise in data management and strategy, together with the power and versatility of Google Cloud and its AI tools like <strong>Gemini<\/strong> and <strong>BigQuery<\/strong>, offers companies the path not only to adapt to the future but to actively build it.<\/p>","protected":false},"excerpt":{"rendered":"<p>Este art\u00edculo resume lo expuesto en el evento Urudata &amp; Google del 15 de mayo de 2025. El mismo fue generado autom\u00e1ticamente por nuestro asistente m\u00e1s joven: NeuraBot, powered by Tu Neural. En el vertiginoso panorama tecnol\u00f3gico actual, la Inteligencia Artificial (IA) ha dejado de ser una promesa futurista para convertirse en un motor tangible [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":6385,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[52],"tags":[],"class_list":["post-6384","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia"],"acf":{"bajada":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Urudata &gt; De los Datos a la IA: Transformando tu organizaci\u00f3n de la mano de Google Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/urudata.com\/en\/de-los-datos-a-la-ia-transformando-tu-organizacion-de-la-mano-de-google-cloud\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Urudata &gt; De los Datos a la IA: Transformando tu organizaci\u00f3n de la mano de Google Cloud\" \/>\n<meta property=\"og:description\" content=\"Este art\u00edculo resume lo expuesto en el evento Urudata &amp; Google del 15 de mayo de 2025. 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