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  1. Article
    FeatureOps: A cultural and technical lever for fearless delivery across Spain’s largest retailer

    Mercadona Tech adopted Unleash to replace risky big-bang releases with continuous, low-risk delivery, powering the logistics backbone of Spain’s largest retailer with speed, safety, and confidence.

  2. Article
    How Frost & Sullivan Cuts Editing Time by 66%

    Can a global consulting firm double its research output without adding headcount? In 2026, Frost & Sullivan reveals how they achieved a 66% reduction in editing time using Grammarly. By moving from subjective manual reviews to AI-driven quality control, the firm saved 2 hours per client story, allowing writers to scale from 6 to 12 projects annually. Discover how the "Grammarly Effect" eliminated passive voice and standardized excellence across CEO-level marketing materials.

  3. Article
    Saving Time, Strengthening Messaging : How Grammarly's AI Helps Iterable Work Smarter

    How does an AI-native company like Iterable work even smarter? In 2026, the answer is "Communication Intelligence." By deploying Grammarly across its hybrid, global workforce, Iterable has reclaimed 1.8 hours per user weekly and boosted media outreach engagement by 250%. Discover how Iterable uses real-time tone detection to translate complex "product-speak" into customer-friendly messaging and why 93% of their team's communications are now measurably better.

  4. Article
    Databricks Saves $1.4M Annually with Grammarly

    Can AI-driven communication save a data giant $1.4M a year? In 2026, Databricks reveals the math behind its 1,994% ROI with Grammarly. By automating brand consistency and "Lakehouse" terminology across 6,000 employees, Databricks cut editorial time by 50% and boosted support resolution by 15%. Discover how the "Invisible Editor" is securing brand reputation, empowering non-native English speakers, and returning 540 hours of strategic capacity to marketing leadership.

  5. Article
    Visma Proceedo Migrates to MariaDB unlocking more than 2x better response times and cost savings

    Visma built its large purchase-to-pay cloud solution, Proceedo, on MariaDB and shares why they left a legacy proprietary database after over 20 years.

  6. Article
    How Crédit Agricole Corporate & Investment Bank (CACIB) transformed its global workflow with GitLab

    Can a global bank innovate as fast as a fintech? In 2026, Crédit Agricole CIB (CACIB) proves it’s possible. By letting "word of mouth" drive their migration to GitLab, they transformed a rigid SCM system into a global automation engine. Discover how CACIB eliminated administrative delays, empowered Data Scientists with collaborative notebooks, and reduced onboarding from 10 days to minutes. This is the story of how a "Bottom-Up" strategy turned a source code manager into a multi-cloud DevSecOps powerhouse.

  7. Article
    European tech company Cube drives secure software with AI in GitLab Duo

    How does a global retail giant move as fast as a startup? In 2026, Carrefour reveals its blueprint for digital success: a unified "Software Factory" built on GitLab. By consolidating fragmented tools into a single DevSecOps platform, Carrefour halved its time-to-market, boosted developer productivity by 100%, and saved $350k annually in security overhead. Discover how "Git-to-Cloud" automation and GitLab Duo AI are helping Carrefour deliver daily updates to e-commerce and in-store systems with 99.91% availability.

  8. Article
    How Carrefour Cut Time to Market in Half with GitLab

    How does a global retail giant move as fast as a startup? In 2026, Carrefour reveals its blueprint for digital success: a unified "Software Factory" built on GitLab. By consolidating fragmented tools into a single DevSecOps platform, Carrefour halved its time-to-market, boosted developer productivity by 100%, and saved $350k annually in security overhead. Discover how "Git-to-Cloud" automation and GitLab Duo AI are helping Carrefour deliver daily updates to e-commerce and in-store systems with 99.91% availability.

  9. Article
    AI Governance Starts at Runtime

    AI governance is no longer just a policy exercise—it must operate at runtime. As organizations adopt agentic AI, securing changes in production requires runtime controls like feature flags, progressive rollout, instant rollback, and automated safeguards. This article explores how combining RBAC, change approval workflows, audit logging, and runtime governance enables faster, safer AI adoption without slowing innovation.