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Discover how AWS Partners around the world are driving innovation for their customers.
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AWS Partner Success Stories
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Total results: 657
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Financial Services
BMO and FICO Transform Financial Services with AWS
United StatesBank of Montreal (BMO), a 200-year-old financial institution and eighth-largest bank in the Americas, selected AWS Partner FICO and Amazon Web Services (AWS) to modernize its credit decision. Facing challenges with legacy, on-premises infrastructure, BMO transitioned to cloud services through FICO’s Platform on AWS. This move has provided a secure, scalable environment and eliminated issues with updates, offering seamless, version-free upgrades. The partnership has enabled faster, lower-cost changes, reduced data processing times, and allowed for enhanced data integration—all driving better, quicker service for BMO’s 12 million customers.
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Financial Services
Eviden Builds Rapidly Scalable Solution for Likezero on AWS
United KingdomLikezero is a UK-based agreement intelligence software company, spun out of professional services company PwC. Its legal agreement application previously ran on PwC’s private network, and is also hosted by two major partners—the London Stock Exchange and S&P Global. Likezero needed a new cloud-based solution after the company became independent from PwC, so it turned to AWS Partner Eviden to help it run its service for customers on Amazon Web Services (AWS). Eviden developed a highly scalable system for Likezero on AWS in 2 months.
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Manufacturing
DS Smith Enhances Procurement Spending Insights Using ML-powered Solution from Exponentia.ai on AWS
United KingdomDS Smith is a London-based supplier of paper and packaging solutions with 2024 revenues of £6.8 billion and is a FTSE 100 company. It has facilities in more than 30 countries employing more than 30,000 staff. Over the last several decades, much of its growth has come from acquisitions, leading to a complex mix of disparate legacy systems. To help it get better insights on how it was spending its procurement budget, it connected with AWS Partner Exponentia.ai to create a procurement spend analytics (PSA) solution on Amazon Web Services (AWS).
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Retail
Necko Helps Verbolia Deliver 4x More Traffic, 440 Million SEO Pages a Month on AWS
BelgiumVerbolia is a Belgian scaleup that helps ecommerce companies improve the effectiveness of their marketing. The company’s products help automate SEO and build landing pages to increase organic traffic and improve return on advertising spend (ROAS). Verbolia’s on-premises infrastructure struggled to scale to support the delivery of an ever-increasing number of landing pages. Working with AWS Partner Necko Technologies, the company refactored its products on Amazon Web Services (AWS), based on a foundation of serverless technologies. As a result, it can now deliver over 400 million pages a month in more than 20 countries—4 times more than it could before the migration.
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Healthcare
Baptist Memorial Health Care Boosts Resilience and Performance by Migrating EHR to AWS
United StatesBaptist Memorial Health Care (BMHC) needed a more resilient disaster recovery posture to ensure uninterrupted care to 3 million patients in three states across the mid-South. Facing challenges with its on-premises data center, including limited scalability, high maintenance costs, and the risk of outages, BMHC partnered with AWS Partner Optimum Healthcare IT to migrate the health system’s full electronic health records system to AWS. The move resulted in enhanced disaster recovery capabilities, a 20% improvement in system performance, and lower total cost of ownership—all of which enhance the organization’s ability to deliver high-quality healthcare services across 22 hospitals and more than 200 clinics.
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Software & Internet
NeuralSpace Accelerates AI Model Training Speed by 96% in Migration to AWS with Rebura
United KingdomNeuralSpace, a London-based AI startup, had the same problem that many startups have: not enough time, not enough money, and too much to do. It needed to develop and train the AI models that powered its language AI applications—automatic translation of text and speech, automated subtitling, and automated AI dubbing of content—but these processes were taking too long. With 20–30 TB of data being used to train each model, it could take 3–6 months to train just one. And the company needed to train multiple models to develop its products. NeuralSpace knew that it needed to find a way to speed up model training that would fit within its limited budget. With the help of AWS Partner Rebura, NeuralSpace migrated to Amazon Web Services (AWS) to enable faster modeling and a crucial pivot in focus.