Category: Uncategorized

  • 2024 Ransomware Trends North America Executive Summary

    2024 Ransomware Trends North America Executive Summary This recovery objectives don’t follow a general rule. Each company has other requirements for their business which defines their recovery objectives. If you want to read about RPO and RTO, our blog post “Why do recovery time and recovery point objectives matter?” explains more about RPO and RTO…

  • Building a Cyber-Resilient Data Recovery Strategy

    Building a Cyber-Resilient Data Recovery Strategy Building a holistic cybersecurity program can be complex and multifaceted, but organizations that leverage frameworks such as the NIST Cybersecurity Framework 2.0, can better establish standards, guidelines and best practices to manage their cybersecurity risk. With insights and knowledge to utilize Veeam® Data Platform, IT organizations, security teams and…

  • Cloud Cost Management: Key Strategies for Success (TechForge 3rd Party Webinar)

    Cloud Cost Management: Key Strategies for Success (TechForge 3rd Party Webinar) Watch this webinar to learn tips and best practices from cloud, backup and FinOps experts on how to implement and maintain a water-tight protection strategy across your hybrid and multi cloud. Register to Watch

  • Hypervisor Migration: Keeping Data Safe in a Changing Industry

    Hypervisor Migration: Keeping Data Safe in a Changing Industry Change is the only true constant in the world, and your virtual datacenter is no exception. Changing a hypervisor is not something that should be taken lightly, so when you are considering this type of switch, you need to review your data resilience strategy too. Whether…

  • The death of DIY: How building data pipelines decelerates your data team

    The death of DIY: How building data pipelines decelerates your data team

    The death of DIY: How building data pipelines decelerates your data team Traditionally, organizations constructed their own data pipelines, which proved effective in an era with fewer data sources. However, in today’s data-rich landscape, an average organization aggregates data from over 400 sources. Scaling with do-it-yourself (DIY) pipelines poses a significant challenge. While DIY pipelines…

  • A CIO’s guide to data lake management for GenAI

    A CIO’s guide to data lake management for GenAI

    A CIO’s guide to data lake management for GenAI Data lakes are essential for AI because they support diverse data types, offer scalable storage and processing and preserve data in its raw format, providing a robust foundation for training advanced AI and ML models. This ebook provides CIOs with strategies to accelerate and ensure the…

  • MIT report: AI readiness for C-suite leaders

    MIT report: AI readiness for C-suite leaders

    MIT report: AI readiness for C-suite leaders 82% of C-suite leaders say a top priority for their organization in 2024 is scaling AI or generative AI use cases to create business value. This exclusive report by MIT Technology Review Insights, sponsored by Fivetran, explores how enterprise technology and business leaders are preparing their organizations for…

  • Data Readiness for SAP Applications- Capitalizing on AI, and GenAi to drive Enterprise Forward

    Data Readiness for SAP Applications- Capitalizing on AI, and GenAi to drive Enterprise Forward

    Data Readiness for SAP Applications- Capitalizing on AI, and GenAi to drive Enterprise Forward Data Readiness encompasses an organization’s processes and strategies to ensure their data assets are accurate, accessible, and actionable for AI-driven applications. Data readiness illustrates the transformative impact on operational efficiency, customer experience, and innovation when underpinned by a robust Data Readiness…

  • Data frenzy to data freedom: How centralized data powers analytics and AI

    Data frenzy to data freedom: How centralized data powers analytics and AI In today’s data-rich environment, companies face the challenge of centralizing large volumes of diverse data to drive insights and operational efficiency. Without a comprehensive data centralization strategy, organizations risk missing out on significant opportunities for revenue growth and competitive advantages with data trapped…

  • TY-ERP Buyer’s Guide for Modern Finance Capabilities

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