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1","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--1d9773f9-daec-411d-8755-2ef702327fd5/amarrujofornacasq.png?quality=85&preferwebp=true","width":"1080","height":"1349","isLcpImage":false,":type":"snowflake-site/components/image"},"authorCta":{"id":"button-3f34ab592c","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/angela-marrujo-fornaca/"},"linkTargetContentType":"DOCUMENT_LEARN","linkType":"SNOWFLAKE_INTERNAL",":type":"snowflake-site/components/button","text":"Angela Marrujo Fornaca"}},{"authorImage":{"id":"image-deadb60bff","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--2a1b884c-d90a-4389-8d76-5b06115fa749/tim-long.jpg?quality=85&preferwebp=true","width":"400","height":"400","isLcpImage":false,":type":"snowflake-site/components/image"},"authorCta":{"id":"button-c7ffe66455","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/tim-long/"},"linkTargetContentType":"DOCUMENT_LEARN","linkType":"SNOWFLAKE_INTERNAL",":type":"snowflake-site/components/button","text":"Tim Long"}}],"tag":{"tagText":"Manufacturing","tagColor":"#29B5E8"},"title":{"lines":["Snowflake Summit 2026 | Unlocking Hidden Business Value: How Industry Leaders Are Turning Sprawling Data into Immediate Action"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"blog_text":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-548fb832de","text":"\u003Cp\u003EFor many C-suite leaders and business executives, the journey to achieving data-driven transformation often comes with a frustrating reality: massive investments in technology, yet agonizingly slow business results.\u003C/p\u003E\r\n\u003Cp\u003EYour company collects petabytes of information: customer feedback, sales numbers, supply chain logs, engineering blueprints and vendor contracts. But why does it still take weeks to get a straight answer to a critical business question? Why do strategic initiatives get delayed while waiting for technical teams to manually extract, clean and move the information?\u003C/p\u003E\r\n\u003Cp\u003EThe root cause isn't a lack of data — it's how data is managed and accessed.\u003C/p\u003E\r\n\u003Cp\u003EFor decades, companies built separate, isolated silos for every department. Marketing had its system, but so did manufacturing and finance. To bring it all together, technical teams spent millions building complex bridges to copy data from one place to another, turning to solutions such as ETL pipelines.\u003C/p\u003E\r\n\u003Cp\u003EFar too often, it’s created a mess of duplicated storage costs, fragile systems and business teams trapped in months-long holding patterns waiting for IT and data engineering to build, update or run reports, which are out of date by the time they’re finally done.\u003C/p\u003E\r\n\u003Cp\u003EDuring Snowflake Summit 2026, global industry leaders \u003Ca href=\"https://connect.panasonic.com/en/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EPanasonic Connect\u003C/a\u003E, \u003Ca href=\"https://www.siemens-energy.com/us/en/home.html?gad_source=1&gad_campaignid=18968606582&gbraid=0AAAAAo_btdwg2lUy35LSKCGR5CsJIb3Vl&gclid=CjwKCAjwpqHTBhAcEiwAj2AfuoWdy-GSwP2Gq0Erui_TAn08rbrBejpOhWPEesbwkT_u426Dk2ezYxoCBsMQAvD_BwE\"\u003ESiemens Energy\u003C/a\u003E and \u003Ca href=\"https://northamerica.daimlertruck.com/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EDaimler Truck North America (DTNA)\u003C/a\u003E shared how they’re navigating this challenge. Their real-world use cases demonstrate that a fundamental shift is happening across the enterprise: executive teams are moving away from legacy copy-and-paste data strategies and embracing a simpler, faster model built on zero-copy data architecture paired and AI embedded directly into daily workflows.\u003C/p\u003E\r\n\u003Cp\u003EHere’s what business leaders need to know about this transformation and how it directly impacts the bottom line.\u003C/p\u003E\r\n\u003Ch3\u003EThe power of zero-copy\u003C/h3\u003E\r\n\u003Cp\u003EWhen executives look at cloud infrastructure bills, a huge portion goes toward moving and copying data between systems. Every time data is moved, you pay twice: once for the transfer/storage, and again in lost time while teams wait for the move to finish. Worse, having multiple copies creates major governance and security risks.\u003C/p\u003E\r\n\u003Cp\u003EModern data strategy revolves around zero-copy architecture. Instead of physically moving data into new locations, platforms now connect directly to the source data in its original home using universal, open table formats (like Apache Iceberg). The data stays put in a single location, but every authorized team gets instant, secure, real-time access.\u003C/p\u003E\r\n\u003Ch4\u003EReal-world business impact:\u003C/h4\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDrastic cost reductions:\u003C/b\u003E Siemens Energy designed a unified data framework around zero-copy principles to eliminate duplicated systems, pointing toward a multimillion-euro reduction in unnecessary operational costs.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EReal-time agility:\u003C/b\u003E Daimler Truck North America unlocked mission-critical data trapped in legacy mainframe systems. Instead of waiting hours for batch reports, plant leaders now get operational data in under five minutes — processing over 130 million daily updates without breaking a sweat.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EBuilt-in compliance:\u003C/b\u003E Keeping data in one place makes complying with privacy laws and regulations (like the EU Data Act) dramatically simpler and less risky.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003ETurning documents into business results\u003C/h3\u003E\r\n\u003Cp\u003EUp to 80% of an enterprise’s most valuable information isn't neatly organized in spreadsheets. It’s buried in unstructured files: open-ended customer survey comments, PDF specifications, contract documents, emails and messages and so much more.\u003C/p\u003E\r\n\u003Cp\u003EHistorically, reading and analyzing these documents required hundreds of hours of manual labor. Today, embedding AI directly where your data already lives and running it within your company’s existing security boundary transforms tedious document reading into instant business decisions without ever letting sensitive data leave your control.\u003C/p\u003E\r\n\u003Ch4\u003EReal impact: How Panasonic Connect solved two major bottlenecks\u003C/h4\u003E\r\n\u003Cp\u003EPanasonic Connect used native AI to streamline operations across two completely different business units:\u003C/p\u003E\r\n\u003Col\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ETransforming customer voice into sales action:\u003C/b\u003E\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe problem:\u003C/b\u003E Analyzing ~200 free-text customer survey responses took six-and-a-half hours of manual work in Excel. Producing company-wide reports took up to three months, meaning front-line sales managers got insights far too late to save at-risk accounts.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe AI solution:\u003C/b\u003E They built an automated app that immediately categorizes feedback sentiment (positive, negative, neutral) and highlights main themes.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe business result:\u003C/b\u003E Analysis time dropped by \u003Cb\u003E90% (from ~200 hours to 20 hours annually)\u003C/b\u003E. Sales reps now receive instant, tailored action plans for specific accounts right after surveys are filled out.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDramatically accelerating engineering checks:\u003C/b\u003E\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe problem:\u003C/b\u003E Engineers had to manually compare 50-page technical specifications against detailed product drawings side-by-side to prevent manufacturing defects — a tedious process prone to human error.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe AI solution:\u003C/b\u003E Engineers drag and drop PDFs into a simple app, where AI reads the documents, compares specs and automatically highlights inconsistencies.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EThe business result:\u003C/b\u003E Document cross-checking times dropped from \u003Cb\u003E340 minutes down to just 10 minutes (a 97% time savings)\u003C/b\u003E. Engineers freed up time to focus on complex decisions rather than manual reading.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ol\u003E\r\n\u003Ch3\u003EBeyond dashboards: Moving to talk to your data\u003Cbr\u003E\r\n\u003C/h3\u003E\r\n\u003Cp\u003EFor decades, executive management relied on Business Intelligence (BI) dashboards. But static dashboards have big flaws: they only tell you \u003Ci\u003Ewhat\u003C/i\u003E happened yesterday, can’t answer \u003Ci\u003Ewhy\u003C/i\u003E it happened and changing them requires opening a ticket with IT.\u003C/p\u003E\r\n\u003Cp\u003EThe industry is rapidly shifting from passive dashboards to conversational AI, or talking with your data, so to speak.\u003C/p\u003E\r\n\u003Cp\u003EThe industry is rapidly pivoting away from these dashboard bottlenecks toward a conversational future. In the traditional model, a business user with a new question had to submit an IT request, wait for a technical team to pull the data and eventually receive a static visual report. In the new conversational model, that friction disappears. Business teams simply ask questions in plain English, and AI assistants query the enterprise data directly to deliver immediate answers rooted in your company’s operations, connecting the dots across your systems.\u003C/p\u003E\r\n\u003Ch4\u003EHow conversational AI works on the assembly floor\u003Cbr\u003E\r\n\u003C/h4\u003E\r\n\u003Cp\u003EAt Daimler Truck North America, plant managers on the assembly line no longer wait for shift-end reports. Instead, they use a conversational AI assistant on the floor to ask simple questions in plain English:\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E"Which trucks are currently delayed offline, what is causing the bottleneck on the line and are we facing part shortages?"\u003C/i\u003E\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cp\u003EThe AI instantly searches live production metrics, scans unstructured assembly documentation and gives the plant manager a clear, accurate answer in seconds.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Ch3\u003ETechnology means nothing without adoption\u003Cbr\u003E\r\n\u003C/h3\u003E\r\n\u003Cp\u003EA modern data architecture is useless if business teams refuse to use it. The most successful corporate transformations rely on three key cultural principles:\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EIT as a business partner, not an order-taker:\u003C/b\u003E Historically, business teams have often tossed requirements over the wall to IT. But in successful organizations where those teams instead work in lockstep with one another, IT sets up secure, easy-to-use platforms, giving business leaders the tools to explore data and build solutions themselves.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EStart small and prove value first:\u003C/b\u003E Avoid multi-year, monolithic "transformation programs" that take forever to show ROI. Panasonic Connect scaled its company-wide data culture by starting with a single project in marketing, proving quick business value and spreading that working model to other divisions.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EFocus on decision quality, not just speed:\u003C/b\u003E Speed is great, but avoiding costly mistakes is better. Giving employees instant data access reduces burnout, cuts out manual, rote work and gives teams the clarity needed to make smarter, higher-value choices.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003EQuestions to ask today\u003C/h3\u003E\r\n\u003Cp\u003EIf you want to evaluate where your business stands on this journey, ask these three questions:\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Col\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ci\u003E\u003Cb\u003E"How many copies of our core operational data exist, and how much are we paying to move data between systems?"\u003C/b\u003E\u003C/i\u003E (Goal: Push toward a zero-copy architecture).\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ci\u003E\u003Cb\u003E"How are we leveraging AI on our unstructured data, such as PDFs, customer reviews or internal reports?"\u003C/b\u003E\u003C/i\u003E (Goal: Bring AI directly to where your data lives securely).\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ci\u003E\u003Cb\u003E"Can our front-line managers get immediate answers in plain English, or are they still waiting on IT for static dashboards?"\u003C/b\u003E\u003C/i\u003E (Goal: Empower teams with conversational AI tools).\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ol\u003E\r\n\u003Cp\u003E\u003Ci\u003EWant to learn more? Watch \u003Ca href=\"https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1765860027962001JX17\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EPanasonic\u003C/a\u003E, \u003Ca href=\"https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1764937472624001GWou\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESiemens\u003C/a\u003E, and \u003Ca href=\"https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1768105521142001Mj2x\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EDaimler’s\u003C/a\u003E Snowflake Summit 2026 presentations to hear directly from them about their data and AI transformations.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"gridClassNames":"aem-Grid aem-Grid--12 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