{"id":5034,"date":"2023-10-31T18:13:14","date_gmt":"2023-10-31T17:13:14","guid":{"rendered":"https:\/\/www.meltone.com\/article-big-data-ai-paris-snowflake\/"},"modified":"2026-07-22T12:50:07","modified_gmt":"2026-07-22T10:50:07","slug":"article-big-data-ai-paris-snowflake","status":"publish","type":"post","link":"https:\/\/www.meltone.com\/en\/article-big-data-ai-paris-snowflake\/","title":{"rendered":"Article Big Data &#038; AI Paris \u2013 Snowflake"},"content":{"rendered":"\n\n\n<section    \n        class=\"block-hero block-hero-article theme-dark deco-article align-left\"\n        data-halo\n        data-bg-dark=\"true\"\n        >\n                <div class=\"hero-deco\" aria-hidden=\"true\">\n                                            <svg viewBox=\"0 0 1440 738\" preserveAspectRatio=\"xMidYMid slice\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n  <defs>\n    <radialGradient id=\"articleGlow\" cx=\"0.5\" cy=\"0.5\" r=\"0.5\">\n      <stop stop-color=\"#11163A\"\/>\n      <stop offset=\"1\" stop-color=\"#404672\" stop-opacity=\"0\"\/>\n    <\/radialGradient>\n  <\/defs>\n  <!-- Glow navy centre-droite (Ellipse 57) -->\n  <circle cx=\"1233\" cy=\"615\" r=\"485\" fill=\"url(#articleGlow)\"\/>\n  <!-- Cercle jaune coin bas-droite (Ellipse 101) -->\n  <circle cx=\"1445.5\" cy=\"766.5\" r=\"250.5\" fill=\"#FCFDD5\"\/>\n  <!-- Ruban pastel (Vector 34, pivot\u00e9) -->\n  <g transform=\"translate(1394.08 447.89) rotate(-47.93) translate(-1109.87 -445.02)\">\n    <path d=\"M61.82 28.5275C194.533 316.12 578.292 46.9245 653.141 382.104C654.417 535.861 589.028 689.62 708.744 764.513C856.261 845.08 975.976 736.712 1020.8 616.429C1065.62 496.146 1153.49 283.658 1327.58 313.766C1503.1 344.122 1514.25 624.794 1765.03 775.716C1879.9 844.848 2032.71 839.997 2180.79 736.735\" stroke=\"#CED9FA\" stroke-width=\"136.17\"\/>\n  <\/g>\n<\/svg>\n\n                    <\/div>\n    \n    <span class=\"halo\"><\/span>\n    <div class=\"container\">\n                                <div class=\"breadcrumb\">\n            <ul class=\"breadcrumb-list\">\n                <li class=\"breadcrumb-list_item\">\n                    <a href=\"https:\/\/www.meltone.com\/en\/\">Accueil<\/a>\n                <\/li>\n\n                                                        \n                                                                                                                                                                                                                                                                                                \n                                                                                                    \n                                        <li class=\"breadcrumb-list_item\"><\/li>\n                            <\/ul>\n        <\/div>\n    \n                <div class=\"grid\">\n            <div class=\"grid_content\">\n                                \n                                \n                                        \n                        \n                    \n            <h1\n        class=\"title title-hero\"\n                        >Article Big Data &#038; AI Paris \u2013 Snowflake<\/h1>\n    \n                                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        On September 25 and 26, 2023, Meltone participated in the Big Data &#038; AI exhibition in Paris. Our participation aimed to consolidate our position in the Data Science and AI market and to maintain our commitment to technological innovation, all with the goal of offering data-driven support (an approach based on [&#8230;] \n        <\/div>\n    \n                                                    <span class=\"block-hero-article_tag\">Opinion<\/span>\n                                                    <div class=\"block-hero-article_meta\">\n                                                    <span class=\"author-by\">\n                                R\u00e9dig\u00e9 par\n                                                                    <a class=\"author\" href=\"https:\/\/www.meltone.com\/en\/author\/agence2web\/\">agence2web<\/a>\n                                                            <\/span>\n                                                <span class=\"date\">31 October 2023<\/span>                    <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n<section     class=\"block-editor\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_content\">\n                <div class=\"editor\"><p>On September 25 and 26, 2023, <strong>Meltone<\/strong> participated in the Big Data &#038; AI exhibition in Paris. Our participation aimed to consolidate our position in the Data Science and AI market and to maintain our commitment to technological innovation, all with the goal of offering relevant data-driven support (an approach based on company data for decision-making) to our clients. During these two days, we took our place at our partners&#8217; booths, including <a href=\"https:\/\/www.meltone.com\/partenaires\/snowflake\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Snowflake<\/strong>,<\/a> to stay at the forefront of the latest innovations. Our presence was not merely passive exploration, but also involved active exchanges with <strong>Snowflake<\/strong> technical experts to deeply understand the new features that will shape the future of Data Science and AI.   <\/p>\n<p>Data Science is a constantly evolving field that largely improves how companies leverage their data to make strategic decisions. It opens up various opportunities for data manipulation, from extraction to use in different cases. During this process, AI algorithms use company business data as inputs to produce valuable business insights.  <\/p>\n<p>At the Big Data &#038; AI exhibition, we discovered how <strong>Snowflake<\/strong> was pushing the boundaries of data by introducing innovations such as &#8220;<strong>Document AI<\/strong>&#8221; and the integration of <strong>&#8220;<\/strong><strong>Streamlit<\/strong>.&#8221;<\/p>\n<p>These innovations open new perspectives for companies by allowing them to fully exploit the power of Large Language Models (LLMs) and make data analysis highly accessible to various departments, even the least technical ones.<\/p>\n<p>They also facilitate the creation of interactive applications to leverage the results of learning algorithms, thereby promoting the scalability of these solutions and the widespread adoption of these technologies within the company.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"506\" src=\"https:\/\/www.meltone.com\/wp-content\/uploads\/2026\/07\/Snowflake-LLM-1024x506-1.webp\" alt=\"\" class=\"wp-image-54526\"><figcaption class=\"wp-element-caption\">Illustration of LLM usage on the current Snowflake architecture, source: <a href=\"https:\/\/medium.com\/snowflake\/the-falcon-llm-landing-in-the-snowflake-data-cloud-ced79c0a6c49\">Article The Falcon LLM Landing in the Snowflake Data Cloud<\/a> by Carlos Carrero.<\/figcaption><\/figure>\n<h2><strong>Without further ado, let&#8217;s discover the first innovation: Document AI&nbsp;<\/strong><\/h2>\n<p>One of <strong>Snowflake<\/strong>&#8216;s major developments is the launch of Document AI, a new interface based on a Large Language Model (LLM) built on Applica&#8217;s pioneering generative AI technology.<\/p>\n<p>One of <strong>Snowflake<\/strong>&#8216;s major developments is the launch of Document AI, a new interface based on a Large Language Model (LLM) built on Applica&#8217;s pioneering generative AI technology.<\/p>\n<p>This tool offers companies the ability to quickly extract value from their unstructured documents, such as scans, images, or handwritten texts, known for their complexity to exploit with existing functionalities in Snowflake.<\/p>\n<p>By integrating <strong>Document AI<\/strong> into the Snowflake platform, companies will have the ease of <strong>analyzing and extracting content<\/strong> from their documents, for example, amounts on invoices frequently presented as images or PDF files, stored in various locations such as data warehouses or databases. Another relevant use case is the extraction of terms from contracts written in natural language, with the possibility of refining the results through a visual interface and natural language processing.  <\/p>\n<p>Furthermore, you can store this information as a table or place it in a pipeline to transmit it to another application.<\/p>\n<p>Document AI is designed to be accessible to everyone: no prior machine learning knowledge is required, and its maintenance is handled by <strong>Snowflake<\/strong>&#8216;s teams, thus guaranteeing its accuracy and reliability.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"608\" src=\"https:\/\/www.meltone.com\/wp-content\/uploads\/2026\/07\/DocumentAI-1024x608-1.png\" alt=\"\" class=\"wp-image-54529\"><\/figure>\n<p>In summary, through Document AI (currently only available in private preview), <strong>Snowflake<\/strong> offers a cutting-edge LLM helping its customers better understand their documents and leverage the power of AI to make data processing fast, efficient, and more accurate.<\/p>\n<h2><strong>Using native Snowflake algorithms is certainly advantageous, but what about those already existing on other Frameworks, such as Streamlit?<\/strong><\/h2>\n<p>Good news! <strong>Snowflake<\/strong> now integrates the Python framework <strong>Streamlit<\/strong>. Thanks to this integration, users can develop applications that manipulate and exploit data in Snowflake without having to transfer data or application code to an external platform.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"599\" src=\"https:\/\/www.meltone.com\/wp-content\/uploads\/2026\/07\/streamlit-1024x599-1.png\" alt=\"\" class=\"wp-image-54532\"><\/figure>\n<p>Moreover, Streamlit is also known for facilitating the creation of AI model-based applications, including LLMs, by using predefined components such as charts and widgets, which can be easily customized, thus requiring no advanced programming experience.<\/p>\n<p>An example of Streamlit&#8217;s use in <strong>Snowflake<\/strong> lies in the creation of interactive applications. Users can leverage their company&#8217;s data or retrieve datasets from the marketplace, then load them into tables to prepare them for digestion by one or more data science algorithms. The learning outcome is then displayed through interactive applications.  <\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"606\" src=\"https:\/\/www.meltone.com\/wp-content\/uploads\/2026\/07\/image-1024x606-1.png\" alt=\"\" class=\"wp-image-54535\"><\/figure>\n<p>Snowflake customers can thus use Streamlit to develop and deploy powerful user interfaces for their applications, all integrated into the Snowflake platform. This approach allows teams to <strong>easily share applications using Snowflake&#8217;s existing governance<\/strong> and deploy them quickly. Since everything is already integrated into Snowflake, this eliminates the need for downloads or environment preparations, thereby reducing latency and simplifying the process for users. <\/p>\n<p>At <strong>MeltOne<\/strong>, we firmly believe that the future of businesses lies in their ability to intelligently leverage data to make informed decisions. Recent advancements from <strong>Snowflake<\/strong>, particularly with the introduction of &#8220;Document AI&#8221; and the integration of &#8220;Streamlit,&#8221; open new opportunities for companies wishing to evolve towards a data-driven strategy. However, we understand that navigating this constantly evolving landscape can be complex. This is where <strong>MeltOne<\/strong> comes in. Our dedicated <a href=\"https:\/\/www.meltone.com\/offres\/data-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Data &#038; Analytics<\/strong><\/a> team is composed of <strong>multidisciplinary experts<\/strong> who possess extensive experience in integrating the latest cutting-edge technologies. We offer a <strong>comprehensive range of services, from design to implementation, including maintenance<\/strong>, which means we can support you at every step of your journey.     <\/p>\n<p>Engaging <strong>MeltOne<\/strong> is more than just a collaboration; it&#8217;s partnering with a team that has a holistic vision, cross-functional experience, and the ability to anticipate technological trends. We are here to guide you, advise you, and support you throughout your digital transformation. Our goal is to help you fully exploit the power of <strong>Snowflake<\/strong>, leverage innovations such as &#8220;Document AI&#8221; and &#8220;Streamlit,&#8221; and create tailor-made solutions that meet your specific needs.  <\/p>\n<p>If you are looking to stay ahead in the data race and gain a unique competitive advantage, contact us today. No matter where you are in your data maturity journey, we are ready to work with you to identify the next steps for your success. Choose <strong>MeltOne<\/strong> and discover how we can transform your data into a strategic asset.  <\/p>\n<p class=\"has-white-chocolate-background-color has-background\">If you would like to learn more and\/or are interested in a demonstration, you can contact us by email at <a href=\"mailto:ybusidan@meltone.com\" target=\"_blank\" rel=\"noreferrer noopener\">ybusidan@meltone.com<\/a> or <a href=\"mailto:omorandy@meltone.com\" target=\"_blank\" rel=\"noreferrer noopener\">omorandy@meltone.com<\/a>. <\/p>\n<\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n<section    \n        class=\"block-content block-cta-contact cta--variation-1\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_content\">\n                <div class=\"card\">\n                    <div class=\"card_content\">\n                        <div class=\"card_deco\" aria-hidden=\"true\">\n                            <svg viewBox=\"0 0 520 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Our participation aimed to consolidate our position in the Data Science and AI market and to maintain our commitment to technological innovation, all with the goal of offering data-driven support (an approach based on [&#8230;] <\/p>\n","protected":false},"author":1,"featured_media":5035,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[154],"tags":[],"cas-client-offre":[],"class_list":["post-5034","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinion"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Article Big Data &amp; AI Paris - Snowflake - MeltOne<\/title>\n<meta name=\"description\" content=\"Discover the Snowflake innovations presented at the Big Data &amp; AI exhibition. 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